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compiler CLI Reference Guide (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuron-cc\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../compiler/neuron-cc/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-57\" name=\"toctree-checkbox-57\" type=\"checkbox\">\n <label for=\"toctree-checkbox-57\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../appnotes/neuron-cc/mixed-precision.html\">\n Mixed precision and performance-accuracy tuning (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuron-cc\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../compiler/neuron-cc/misc-neuron-cc.html\">\n Misc\n </a>\n 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href=\"../../../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/misc-customops.html\">\n Misc (Neuron Custom C++ Operators)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-63\" name=\"toctree-checkbox-63\" type=\"checkbox\">\n <label for=\"toctree-checkbox-63\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/customcxxps/gpsimd-tools.html\">\n Neuron Custom C++ Tools Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/customcxxps/gpsimd-customop-lib.html\">\n Neuron Custom C++ Library Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/index.html\">\n Neuron Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-64\" name=\"toctree-checkbox-64\" type=\"checkbox\">\n <label for=\"toctree-checkbox-64\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/index.html\">\n System Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-65\" name=\"toctree-checkbox-65\" type=\"checkbox\">\n <label for=\"toctree-checkbox-65\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/neuron-monitor-user-guide.html\">\n Neuron-Monitor User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/neuron-top-user-guide.html\">\n Neuron-Top User Guide\n </a>\n 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class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" name=\"toctree-checkbox-66\" type=\"checkbox\">\n <label for=\"toctree-checkbox-66\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/tutorials/tutorial-tensorboard-scalars-mnist.html\">\n Track Training Progress in TensorBoard using PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/tensorboard/getting-started-tensorboard-neuronx-plugin.html\">\n TensorBoard Plugin for Neuron (Trn1)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/tools/tensorboard-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/tensorboard/getting-started-tensorboard-neuron-plugin.html\">\n TensorBoard Plugin for Neuron (Inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/helper-tools/index.html\">\n Helper Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-67\" name=\"toctree-checkbox-67\" type=\"checkbox\">\n <label for=\"toctree-checkbox-67\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/helper-tools/tutorial-neuron-check-model.html\">\n Check Model\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/helper-tools/tutorial-neuron-gatherinfo.html\">\n GatherInfo\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/index.html\">\n NeuronPerf (Beta)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-68\" name=\"toctree-checkbox-68\" type=\"checkbox\">\n <label for=\"toctree-checkbox-68\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_overview.html\">\n Overview\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_terminology.html\">\n Terminology\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_evaluate_guide.html\">\n Evaluate Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_compile_guide.html\">\n Compile Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_model_index_guide.html\">\n Model Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/rn.html\">\n What’s New\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-69\" name=\"toctree-checkbox-69\" type=\"checkbox\">\n <label for=\"toctree-checkbox-69\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tools/neuronperf.html\">\n NeuronPerf 1.x Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../calculator/neuron-calculator.html\">\n Neuron Calculator\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../setup/index.html\">\n Setup Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-70\" name=\"toctree-checkbox-70\" type=\"checkbox\">\n <label for=\"toctree-checkbox-70\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" name=\"toctree-checkbox-71\" type=\"checkbox\">\n <label for=\"toctree-checkbox-71\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-72\" name=\"toctree-checkbox-72\" type=\"checkbox\">\n <label for=\"toctree-checkbox-72\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-73\" name=\"toctree-checkbox-73\" type=\"checkbox\">\n <label for=\"toctree-checkbox-73\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/tutorial-infer.html\">\n Run inference in pytorch neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/k8s_rn50_demo.html\">\n Deploy a TensorFlow Resnet50 model as a Kubernetes service\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label for=\"toctree-checkbox-74\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/tutorial-training.html\">\n Run training in Pytorch Neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/k8s_mlp_train_demo.html\">\n Deploy a simple mlp training script as a Kubernetes job\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-75\" name=\"toctree-checkbox-75\" type=\"checkbox\">\n <label for=\"toctree-checkbox-75\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-79\" name=\"toctree-checkbox-79\" type=\"checkbox\">\n <label for=\"toctree-checkbox-79\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/index.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-80\" name=\"toctree-checkbox-80\" type=\"checkbox\">\n <label for=\"toctree-checkbox-80\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/ec2-flows.html\">\n AWS EC2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-82\" name=\"toctree-checkbox-82\" type=\"checkbox\">\n <label for=\"toctree-checkbox-82\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-83\" name=\"toctree-checkbox-83\" type=\"checkbox\">\n <label for=\"toctree-checkbox-83\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-then-ec2-devflow.html\">\n Compile with Framework API and Deploy on EC2 Inf1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-then-ec2-devflow-inf2.html\">\n Compile with Framework API and Deploy on EC2 Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/training/ec2-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-84\" name=\"toctree-checkbox-84\" type=\"checkbox\">\n <label for=\"toctree-checkbox-84\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/training/ec2/ec2-training.html\">\n Train your model on EC2\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/eks-flows.html\">\n Amazon EKS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-85\" name=\"toctree-checkbox-85\" type=\"checkbox\">\n <label for=\"toctree-checkbox-85\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/eks-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-86\" name=\"toctree-checkbox-86\" type=\"checkbox\">\n <label for=\"toctree-checkbox-86\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/training/eks-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/ecs-flows.html\">\n AWS ECS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-87\" name=\"toctree-checkbox-87\" type=\"checkbox\">\n <label for=\"toctree-checkbox-87\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ecs-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-88\" name=\"toctree-checkbox-88\" type=\"checkbox\">\n <label 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noprint\">\n</div>\n </div>\n <div class=\"article row\">\n <div class=\"col pl-md-3 pl-lg-5 content-container\">\n <!-- Table of contents that is only displayed when printing the page -->\n <div id=\"jb-print-docs-body\" class=\"onlyprint\">\n <h1>Neuron Dynamic Shapes</h1>\n <!-- Table of contents -->\n <div id=\"print-main-content\">\n <div id=\"jb-print-toc\">\n \n </div>\n </div>\n </div>\n <main id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n<div class=\"section\" id=\"neuron-dynamic-shapes\">\n<span id=\"dynamic-shapes\"></span><h1>Neuron Dynamic Shapes<a class=\"headerlink\" href=\"#neuron-dynamic-shapes\" title=\"Permalink to this headline\">#</a></h1>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p>This feature is supported in <a class=\"reference internal\" href=\"../neuron-hardware/neuron-core-v2.html#neuroncores-v2-arch\"><span class=\"std std-ref\">NeuronCore-v2 Architecture</span></a>, the NeuronCore that exists in <a class=\"reference internal\" href=\"../neuron-hardware/trainium.html#trainium-arch\"><span class=\"std std-ref\">Trainium</span></a>, however it is still not implemented by the Neuron Compiler.</p>\n<p>Stay tuned and follow the <a class=\"reference internal\" href=\"../../roadmap-readme.html#neuron-roadmap\"><span class=\"std std-ref\">Neuron Roadmap</span></a></p>\n</div>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n</div>\n\n<div class=\"section\">\n 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<body> so the DOM is not blocked -->\n <script src=\"../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf\"></script>\n\n\n \n</body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:21.279Z"}}},{"rowIdx":279,"cells":{"title":{"kind":"string","value":"Misc(Neuron Runtime) — AWS Neuron Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/neuron-runtime/misc-runtime.html"},"markdown":{"kind":"string","value":"# Misc(Neuron Runtime) — AWS Neuron Documentation\n\n- [repository](https://github.com/aws-neuron/aws-neuron-sdk)\n- [open issue](https://github.com/aws-neuron/aws-neuron-sdk/issues/new?title=Issue%20on%20page%20%2Fneuron-runtime/misc-runtime.html&body=Your%20issue%20content%20here.)\n- [suggest edit](https://github.com/aws-neuron/aws-neuron-sdk/edit/v2.14.1/neuron-runtime/misc-runtime.rst)\n\n- [.rst](../_sources/neuron-runtime/misc-runtime.rst.txt)\n\n## Misc(Neuron Runtime)\n\n_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`\n\n## Misc(Neuron Runtime)[#](#misc-neuron-runtime \"Permalink to this headline\")\n\n- [Troubleshooting on Inf1 and Trn1](nrt-troubleshoot.html)\n- [FAQ](faq.html)\n- [Neuron Runtime Release Notes](../release-notes/runtime/aws-neuronx-runtime-lib/index.html)\n- [Neuron Driver Release Notes](../release-notes/runtime/aws-neuronx-dkms/index.html)\n- [Neuron Collectives Release Notes](../release-notes/runtime/aws-neuronx-collectives/index.html)\n\n_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`"},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Misc(Neuron Runtime) — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link 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href=\"../frameworks/torch/inference-torch-neuronx.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-2\" name=\"toctree-checkbox-2\" type=\"checkbox\">\n <label for=\"toctree-checkbox-2\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorials-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-3\" name=\"toctree-checkbox-3\" type=\"checkbox\">\n <label for=\"toctree-checkbox-3\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/bert-base-cased-finetuned-mrpc-inference-on-trn1-tutorial.html\">\n Compiling and Deploying HuggingFace Pretrained BERT on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorial-torchserve-neuronx.html\">\n BERT TorchServe Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorial-libtorch.html\">\n LibTorch C++ Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" 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fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/appnotes/torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/appnotes/torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/appnotes/torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" 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href=\"../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-26\" name=\"toctree-checkbox-26\" type=\"checkbox\">\n <label for=\"toctree-checkbox-26\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-28\" name=\"toctree-checkbox-28\" type=\"checkbox\">\n <label for=\"toctree-checkbox-28\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tracing-python-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label for=\"toctree-checkbox-31\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-32\" name=\"toctree-checkbox-32\" type=\"checkbox\">\n <label for=\"toctree-checkbox-32\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" 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class=\"pre\">\n transformers-neuronx\n </span>\n </code>\n ) Developer Guide\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/transformers-neuronx-tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-38\" name=\"toctree-checkbox-38\" type=\"checkbox\">\n <label for=\"toctree-checkbox-38\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/meta-llama-2-13b-sampling.ipynb\">\n Hugging Face meta-llama/Llama-2-13b autoregressive sampling on Inf2 & Trn1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" 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</a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tutorials/index.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-44\" name=\"toctree-checkbox-44\" type=\"checkbox\">\n <label for=\"toctree-checkbox-44\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tutorials/training.html\">\n Training using Tensor Parallelism\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tutorials/training-gpt-neox.html\">\n Training GPT-NeoX 6.9B using TP and ZeRO-1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tutorials/training-gpt-neox-20b.html\">\n Training GPT-NeoX 20B using TP and ZeRO-1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/neuronx_distributed/t5-inference/t5-inference-tutorial.html\">\n T5 inference with Tensor Parallelism\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tutorials/inference.html\">\n Inference using Tensor Parallelism\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/neuronx-distributed-misc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-45\" name=\"toctree-checkbox-45\" type=\"checkbox\">\n <label for=\"toctree-checkbox-45\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/neuronx-distributed/neuronx-distributed.html\">\n Neuron Distributed Release Notes (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../libraries/nemo-megatron/index.html\">\n AWS Neuron Reference for NeMo Megatron\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n User Guide\n </span>\n</p>\n<ul class=\"current nav bd-sidenav\">\n <li class=\"toctree-l1 current active has-children\">\n <a class=\"reference internal\" href=\"index.html\">\n Neuron Runtime\n </a>\n <input checked=\"\" class=\"toctree-checkbox\" id=\"toctree-checkbox-46\" name=\"toctree-checkbox-46\" type=\"checkbox\">\n <label for=\"toctree-checkbox-46\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul class=\"current\">\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" 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class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../compiler/index.html\">\n Neuron Compiler\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-50\" name=\"toctree-checkbox-50\" type=\"checkbox\">\n <label for=\"toctree-checkbox-50\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../compiler/neuronx-cc.html\">\n Neuron Compiler for Trn1 & Inf2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-51\" name=\"toctree-checkbox-51\" type=\"checkbox\">\n <label for=\"toctree-checkbox-51\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../compiler/neuronx-cc/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-52\" name=\"toctree-checkbox-52\" type=\"checkbox\">\n <label 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</ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../compiler/neuronx-cc/misc-neuronx-cc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-54\" name=\"toctree-checkbox-54\" type=\"checkbox\">\n <label for=\"toctree-checkbox-54\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../compiler/neuronx-cc/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuronx-cc/index.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../compiler/neuron-cc.html\">\n Neuron Compiler for Inf1\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-55\" name=\"toctree-checkbox-55\" type=\"checkbox\">\n <label for=\"toctree-checkbox-55\">\n <i class=\"fas 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href=\"../release-notes/compiler/neuron-cc/neuron-cc.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html\">\n Neuron Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/index.html\">\n Neuron C++ Custom Operators\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-59\" name=\"toctree-checkbox-59\" type=\"checkbox\">\n <label for=\"toctree-checkbox-59\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/api-reference-guide/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-60\" name=\"toctree-checkbox-60\" type=\"checkbox\">\n <label 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internal\" href=\"../neuron-customops/tutorials/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-62\" name=\"toctree-checkbox-62\" type=\"checkbox\">\n <label for=\"toctree-checkbox-62\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/misc-customops.html\">\n Misc (Neuron Custom C++ Operators)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-63\" name=\"toctree-checkbox-63\" type=\"checkbox\">\n <label 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</li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/nccom-test.html\">\n NCCOM-TEST User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" name=\"toctree-checkbox-66\" type=\"checkbox\">\n <label for=\"toctree-checkbox-66\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/tutorials/tutorial-tensorboard-scalars-mnist.html\">\n Track Training Progress in TensorBoard using PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/getting-started-tensorboard-neuronx-plugin.html\">\n TensorBoard Plugin for Neuron (Trn1)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/tools/tensorboard-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/getting-started-tensorboard-neuron-plugin.html\">\n TensorBoard Plugin for Neuron (Inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../tools/helper-tools/index.html\">\n Helper Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-67\" name=\"toctree-checkbox-67\" type=\"checkbox\">\n <label for=\"toctree-checkbox-67\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/helper-tools/tutorial-neuron-check-model.html\">\n Check Model\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/helper-tools/tutorial-neuron-gatherinfo.html\">\n GatherInfo\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/index.html\">\n NeuronPerf (Beta)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-68\" name=\"toctree-checkbox-68\" type=\"checkbox\">\n <label for=\"toctree-checkbox-68\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_overview.html\">\n Overview\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_terminology.html\">\n Terminology\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_evaluate_guide.html\">\n Evaluate Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_compile_guide.html\">\n Compile Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_model_index_guide.html\">\n Model Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/rn.html\">\n What’s New\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-69\" name=\"toctree-checkbox-69\" type=\"checkbox\">\n <label for=\"toctree-checkbox-69\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tools/neuronperf.html\">\n NeuronPerf 1.x Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../general/calculator/neuron-calculator.html\">\n Neuron Calculator\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../general/setup/index.html\">\n Setup Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-70\" name=\"toctree-checkbox-70\" type=\"checkbox\">\n <label for=\"toctree-checkbox-70\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" name=\"toctree-checkbox-71\" type=\"checkbox\">\n <label for=\"toctree-checkbox-71\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials.html\">\n Tutorials\n </a>\n <input 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has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label for=\"toctree-checkbox-74\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/tutorial-training.html\">\n Run training in Pytorch Neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/k8s_mlp_train_demo.html\">\n Deploy a simple mlp training script as a Kubernetes job\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-75\" name=\"toctree-checkbox-75\" 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class=\"reference internal\" href=\"../general/devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-79\" name=\"toctree-checkbox-79\" type=\"checkbox\">\n <label for=\"toctree-checkbox-79\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/index.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/index.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-80\" name=\"toctree-checkbox-80\" type=\"checkbox\">\n <label for=\"toctree-checkbox-80\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" 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class=\"reference internal\" href=\"../general/devflows/ec2-flows.html\">\n AWS EC2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-82\" name=\"toctree-checkbox-82\" type=\"checkbox\">\n <label for=\"toctree-checkbox-82\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/ec2-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-83\" name=\"toctree-checkbox-83\" type=\"checkbox\">\n <label for=\"toctree-checkbox-83\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/ec2-then-ec2-devflow.html\">\n Compile with Framework API and Deploy on EC2 Inf1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/ec2-then-ec2-devflow-inf2.html\">\n Compile with Framework API and Deploy on EC2 Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/training/ec2-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-84\" name=\"toctree-checkbox-84\" type=\"checkbox\">\n <label for=\"toctree-checkbox-84\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/training/ec2/ec2-training.html\">\n Train your model on EC2\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/eks-flows.html\">\n Amazon EKS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-85\" name=\"toctree-checkbox-85\" type=\"checkbox\">\n <label for=\"toctree-checkbox-85\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 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class=\"reference internal\" href=\"../general/devflows/inference/neo-then-hosting-devflow.html\">\n Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/training/sagemaker-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-91\" name=\"toctree-checkbox-91\" type=\"checkbox\">\n <label for=\"toctree-checkbox-91\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/training/sm-devflow/sm-training-devflow.html\">\n Train your model on SageMaker\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sagemaker-samples\">\n AWS Neuron Sagemaker Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/parallelcluster-flows.html\">\n Parallel Cluster\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-92\" name=\"toctree-checkbox-92\" type=\"checkbox\">\n <label for=\"toctree-checkbox-92\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/parallelcluster-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/training/parallelcluster-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-93\" name=\"toctree-checkbox-93\" type=\"checkbox\">\n <label for=\"toctree-checkbox-93\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/training/parallelcluster/parallelcluster-training.html\">\n Train your model on ParallelCluster\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/aws-batch-flows.html\">\n AWS Batch Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-94\" name=\"toctree-checkbox-94\" type=\"checkbox\">\n <label for=\"toctree-checkbox-94\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/aws-batch-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../general/devflows/training/aws-batch-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Learning Neuron\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../general/arch/index.html\">\n Architecture\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-95\" name=\"toctree-checkbox-95\" type=\"checkbox\">\n <label for=\"toctree-checkbox-95\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-hardware/inf1-arch.html\">\n AWS Inf1 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-hardware/trn1-arch.html\">\n AWS Trn1/Trn1n Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-hardware/inf2-arch.html\">\n AWS Inf2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-hardware/inferentia.html\">\n Inferentia Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-hardware/inferentia2.html\">\n Inferentia2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-hardware/trainium.html\">\n Trainium Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-hardware/neuroncores-arch.html\">\n AWS NeuronCore Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/model-architecture-fit.html\">\n Neuron Model Architecture Fit Guidelines\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/glossary.html\">\n Neuron Glossary\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-features/index.html\">\n Features\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-96\" name=\"toctree-checkbox-96\" type=\"checkbox\">\n <label for=\"toctree-checkbox-96\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-features/data-types.html\">\n Data Types\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-features/rounding-modes.html\">\n Rounding Modes\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-features/neuroncore-batching.html\">\n Neuron Batching\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-features/neuroncore-pipeline.html\">\n NeuronCore Pipeline\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-features/collective-communication.html\">\n Collective Communication\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-features/control-flow.html\">\n Neuron Control Flow\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-features/custom-c%2B%2B-operators.html\">\n Neuron Custom C++ Operators\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-features/dynamic-shapes.html\">\n Neuron Dynamic Shapes\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../general/appnotes/index.html\">\n Application Notes\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-97\" name=\"toctree-checkbox-97\" type=\"checkbox\">\n <label for=\"toctree-checkbox-97\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/announcements/neuron2.x/neuron2-intro.html\">\n Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/appnotes/neuron1x/introducing-libnrt.html\">\n Introducing Neuron Runtime 2.x (libnrt.so)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/appnotes/perf/neuron-cc/performance-tuning.html\">\n Performance Tuning\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/appnotes/perf/neuron-cc/parallel-ncgs.html\">\n Parallel Execution using NEURON_RT_NUM_CORES\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/appnotes/torch-neuron/rcnn-app-note.html\">\n Running R-CNNs on Inf1\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">\n Generative LLM inference with Neuron\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../general/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../general/troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n About Neuron\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../release-notes/release.html\">\n Release Details\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../general/roadmap-readme.html\">\n Roadmap\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-98\" name=\"toctree-checkbox-98\" 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href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.18.0/neuron-runtime/misc-runtime.html\">v1.18.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.17.2/neuron-runtime/misc-runtime.html\">v1.17.2</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.17.1/neuron-runtime/misc-runtime.html\">v1.17.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.17.0/neuron-runtime/misc-runtime.html\">v1.17.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.3/neuron-runtime/misc-runtime.html\">v1.16.3</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.2/neuron-runtime/misc-runtime.html\">v1.16.2</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.1/neuron-runtime/misc-runtime.html\">v1.16.1</a>\n </dd>\n \n <dd>\n <a 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class=\"pre\">Trn1n</span></code></p>\n<div class=\"section\" id=\"misc-neuron-runtime\">\n<h1>Misc(Neuron Runtime)<a class=\"headerlink\" href=\"#misc-neuron-runtime\" title=\"Permalink to this headline\">#</a></h1>\n<div class=\"toctree-wrapper compound\">\n<ul>\n<li class=\"toctree-l1\"><a class=\"reference internal\" href=\"nrt-troubleshoot.html\">Troubleshooting on Inf1 and Trn1</a></li>\n<li class=\"toctree-l1\"><a class=\"reference internal\" href=\"faq.html\">FAQ</a></li>\n<li class=\"toctree-l1\"><a class=\"reference internal\" href=\"../release-notes/runtime/aws-neuronx-runtime-lib/index.html\">Neuron Runtime Release Notes</a></li>\n<li class=\"toctree-l1\"><a class=\"reference internal\" href=\"../release-notes/runtime/aws-neuronx-dkms/index.html\">Neuron Driver Release Notes</a></li>\n<li class=\"toctree-l1\"><a class=\"reference internal\" href=\"../release-notes/runtime/aws-neuronx-collectives/index.html\">Neuron Collectives Release 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page\">\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">next</p>\n <p class=\"prev-next-title\">Neuron Runtime Troubleshooting on Inf1, Inf2 and Trn1</p>\n </div>\n <i class=\"fas fa-angle-right\"></i>\n </a>\n</div>\n </footer>\n </div>\n </div>\n <div class=\"footer-content row\">\n <footer class=\"col footer\"><p>\n \n By AWS<br>\n \n © Copyright 2023, Amazon.com.<br>\n</p>\n </footer>\n </div>\n \n</div>\n\n\n </div>\n </div>\n \n <!-- Scripts loaded after <body> so the DOM is not blocked -->\n <script src=\"../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf\"></script>\n\n\n \n</body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:21.629Z"}}},{"rowIdx":280,"cells":{"title":{"kind":"string","value":"Introducing Neuron Runtime 2.x (libnrt.so) — AWS Neuron Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/appnotes/neuron1x/introducing-libnrt.html"},"markdown":{"kind":"string","value":"# Introducing Neuron Runtime 2.x (libnrt.so) — AWS Neuron Documentation\n\n_This document is relevant for_: `Inf1`\n\n## Introducing Neuron Runtime 2.x (libnrt.so)[#](#introducing-neuron-runtime-2-x-libnrt-so \"Permalink to this headline\")\n\nTable of contents\n\n- [What are we changing?](#what-are-we-changing)\n \n- [Why are we making this change?](#why-are-we-making-this-change)\n \n- [How will this change affect the Neuron SDK?](#how-will-this-change-affect-the-neuron-sdk)\n \n - [Neuron Driver](#neuron-driver)\n \n - [Neuron Runtime](#neuron-runtime)\n \n - [Neuron framework extensions](#neuron-framework-extensions)\n \n - [TensorFlow model server](#tensorflow-model-server)\n \n - [Neuron tools](#neuron-tools)\n \n- [How will this change affect me?](#how-will-this-change-affect-me)\n \n - [Neuron installation and upgrade](#neuron-installation-and-upgrade)\n \n - [Migrate your application to Neuron Runtime 2.x (libnrt.so)](#migrate-your-application-to-neuron-runtime-2-x-libnrt-so)\n \n- [Troubleshooting](#troubleshooting)\n \n - [Application fails to start](#application-fails-to-start)\n \n - [Application fails to start although I installed latest `aws-neuron-dkms`](#application-fails-to-start-although-i-installed-latest-aws-neuron-dkms)\n \n - [Application unexpected behavior when upgrading to release _Neuron 1.16.0_ or newer](#application-unexpected-behavior-when-upgrading-to-release-neuron-1-16-0-or-newer)\n \n - [Application unexpected behavior when downgrading to releases before _Neuron 1.6.0_ (from _Neuron 1.16.0_ or newer)](#application-unexpected-behavior-when-downgrading-to-releases-before-neuron-1-6-0-from-neuron-1-16-0-or-newer)\n \n - [Neuron Core is in use](#neuron-core-is-in-use)\n \n- [Frequently Asked Questions (FAQ)](#frequently-asked-questions-faq)\n \n - [Do I need to recompile my model to run it with Neuron Runtime 2.x (`libnrt.so`)?](#do-i-need-to-recompile-my-model-to-run-it-with-neuron-runtime-2-x-libnrt-so)\n \n - [Do I need to change my application launch command?](#do-i-need-to-change-my-application-launch-command)\n \n - [Can `libnrt.so` and `neuron-rtd` co-exist in the same environment?](#can-libnrt-so-and-neuron-rtd-co-exist-in-the-same-environment)\n \n - [Are there Neuron framework versions that will not support Neuron Runtime 2.x (`libnrt.so`)?](#are-there-neuron-framework-versions-that-will-not-support-neuron-runtime-2-x-libnrt-so)\n \n\n## [What are we changing?](#id9)[#](#what-are-we-changing \"Permalink to this headline\")\n\nStarting with _Neuron 1.16.0_ release, _Neuron Runtime 1.x_ (`neuron-rtd`) is entering maintenance mode and is replaced by _Neuron Runtime 2.x_, a shared library named (`libnrt.so`). For more information on Runtime 1.x see [10/27/2021 - Neuron Runtime 1.x (neuron-rtd) enters maintenance mode](../../announcements/neuron1.x/announcements.html#maintenance-rtd).\n\nUpgrading to `libnrt.so` simplifies Neuron installation and upgrade process, introduces new capabilities for allocating NeuronCores to applications, streamlines container creation, and deprecates tools that are no longer needed.\n\nThis document describes the capabilities of _Neuron Runtime 2.x_ in detail, provides information needed for successful installation and upgrade, and provides information needed for successful upgrade of Neuron applications using _Neuron Runtime 1.x_ (included in releases before _Neuron 1.16.0_) to _Neuron Runtime 2.x_ (included in releases _Neuron 1.16.0_ or newer).\n\n## [Why are we making this change?](#id10)[#](#why-are-we-making-this-change \"Permalink to this headline\")\n\nBefore _Neuron 1.16.0_, Neuron Runtime was delivered as a daemon (`neuron-rtd`), and communicated with Neuron framework extensions through a `gRPC` interface. `neuron-rtd` was packaged as an `rpm` or `debian` package (`aws-neuron-runtime`) and required a separate installation step.\n\nStarting with _Neuron 1.16.0_, _Neuron Runtime 2.x_ is delivered as a shared library (`libnrt.so`) and is directly linked to Neuron framework extensions. `libnrt.so` is packaged and installed as part of Neuron framework extensions (e.g. TensorFlow Neuron, PyTorch Neuron or MXNet Neuron), and does not require a separate installation step. Installing Neuron Runtime as part of the Neuron framework extensions simplifies installation and improves the user experience. In addition, since `libnrt.so` is directly linked to Neuron framework extensions, it enables faster communication between the Neuron Runtime and Neuron Frameworks by eliminating the `gRPC` interface overhead.\n\nFor more information please see [How will this change affect the Neuron SDK?](#introduce-libnrt-how-sdk) and [Migrate your application to Neuron Runtime 2.x (libnrt.so)](#neuron-migrating-apps-neuron-to-libnrt).\n\n## [How will this change affect the Neuron SDK?](#id11)[#](#how-will-this-change-affect-the-neuron-sdk \"Permalink to this headline\")\n\n### [Neuron Driver](#id12)[#](#neuron-driver \"Permalink to this headline\")\n\nYou need to use latest Neuron Driver. For successful installation and upgrade to _Neuron 1.16.0_ or newer, you must install or upgrade to Neuron Driver (`aws-neuron-dkms`) _version 2.1.5.0_ or newer. Neuron applications using _Neuron 1.16.0_ will fail if they do not detect _Neuron Driver version 2.1.5.0_ or newer. For installation and upgrade instructions see install-guide-index.\n\nTo see details of Neuron component versions please see [Release Content](../../../release-notes/releasecontent.html#neuron-release-content).\n\nImportant\n\nFor successful installation or update to Neuron 1.16.0 and newer from previous releases:\n\n- Stop Neuron Runtime 1.x daemon (`neuron-rtd`) by running: `sudo systemctl stop neuron-rtd`\n \n- Uninstall `neuron-rtd` by running: `sudo apt remove aws-neuron-runtime` or `sudo yum remove aws-neuron-runtime`\n \n- Install or upgrade to latest Neuron Driver (`aws-neuron-dkms`) by following the install-guide-index instructions.\n \n- Starting Neuron version 2.3, `aws-neuron-dkms` package name is changed to `aws-neuronx-dkms`, see [Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)](../../announcements/neuron2.x/neuron2-intro.html#neuron2-intro)\n \n\n### [Neuron Runtime](#id13)[#](#neuron-runtime \"Permalink to this headline\")\n\n- Installation Starting from _Neuron 1.16.0_, Neuron releases will no longer include the `aws-neuron-runtime packages`, and the Neuron Runtime will be part of the Neuron framework extension of choice (TensorFlow Neuron, PyTorch Neuron or MXNet Neuron). Installing any Neuron framework package will install the Neuron Runtime library (`libnrt.so`).\n \n > - For installation and upgrade instructions see install-guide-index.\n > \n \n- Configuring _Neuron Runtime_\n \n Before _Neuron 1.16.0_, configuring _Neuron Runtime 1.x_ was performed through configuration files (e.g. /opt/aws/neuron/config/neuron-rtd.config). Starting from _Neuron 1.16.0_, configuring _Neuron Runtime 2.x_ can be done through environment variables, see [Neuron Runtime Configuration](../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration) for details.\n \n- Starting and Stopping _Neuron Runtime_\n \n Before introducing `libnrt.so`, `neuron-rtd` ran as a daemon that communicated through a `gRPC` interface. Whenever `neuron-rtd` took ownership of a Neuron device, it continued owning that device until it was stopped. This created the need to stop `neuron-rtd` in certain cases. With the introduction of `libnrt.so`, stopping and starting the _Neuron Runtime_ is no longer needed as it runs inside the context of the application. With _Neuron Runtime 2.x_, the act of starting and stopping a Neuron application will cause `libnrt.so` to automatically claim or release the ownership of the required Neuron devices.\n \n- NeuronCore Groups (NCG) deprecation\n \n Before the introduction of _Neuron Runtime 2.x_, NeuronCore Group (NCG) has been used to define an execution group of one or more NeuronCores where models can be loaded and executed. It also provided separation between processes.\n \n With the introduction of _Neuron Runtime 2.x_, the strict separation of NeuronCores into groups is no longer needed and NeuronCore Groups (NCG) is deprecated. see [10/27/2021 - End of support for NeuronCore Groups (NCG)](../../announcements/neuron1.x/announcements.html#eol-ncg) for more information.\n \n- Running multiple _Neuron Runtimes_\n \n Before the introduction of `libnrt.so`, you needed to run multiple `neuron-rtd` daemons to allocate Neuron devices for each `neuron-rtd` using configuration files. After the introduction of `libnrt.so`, you will no longer need to run multiple `neuron-rtd` daemons to allocate Neuron devices to specific Neuron application . With `libnrt.so` allocation of NeuronCores (Neuron device include multiple NeuronCores) to a particular application is done by using `NEURON_RT_VISIBLE_CORES` or `NEURON_RT_NUM_CORES` environment variables, for example:\n \n ```\n NEURON_RT_VISIBLE_CORES=0-3 myapp1.py\n NEURON_RT_VISIBLE_CORES=4-11 myapp2.py\n \n ```\n \n Or\n \n ```\n NEURON_RT_NUM_CORES=3 myapp1.py &\n NEURON_RT_NUM_CORES=4 myapp2.py &\n \n ```\n \n See [Neuron Runtime Configuration](../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration) for details.\n \n- Logging\n \n Similar to _Neuron Runtime 1.x_, _Neuron Runtime 2.x_ logs to syslog (verbose logging). To make debugging easier, _Neuron Runtime 2.x_ also logs to the console (error-only logging). Refer to [Neuron Runtime Configuration](../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration) to see how to increase or decrease logging verbosity.\n \n- Multi-process access to NeuronCores\n \n With the introduction of `libnrt.so`, it’s no longer possible to load models on the same NeuronCore from multiple processes. Access to the same NeuronCore should be done from the same process. Instead you can load models on the same NeuronCore using multiple threads from the same process.\n \n Note\n \n For optimal performance of multi-model execution, each NeuronCore should execute single model.\n \n- Neuron Runtime architecture\n \n _Neuron Runtime 2.x_ is delivered as a shared library (`libnrt.so`) and is directly linked to Neuron framework extensions. `libnrt.so` is packaged and installed as part of Neuron framework extensions (e.g. TensorFlow Neuron, PyTorch Neuron or MXNet Neuron), and does not require a separate installation step. Installing Neuron Runtime as part of the Neuron framework extensions simplifies installation and improves the user experience. In addition, since `libnrt.so` is directly linked to Neuron framework extensions, it enables faster communication between the Neuron Runtime and Neuron Frameworks by eliminating the `gRPC` interface overhead.\n \n\n### [Neuron framework extensions](#id14)[#](#neuron-framework-extensions \"Permalink to this headline\")\n\nStarting from _Neuron 1.16.0_, Neuron framework extensions (TensorFlow Neuron, PyTorch Neuron or MXNet Neuron) will be packaged together with `libnrt.so`. It is required to install the `aws-neuron-dkms` Driver version 2.1.5.0 or newer for proper operation. The `neuron-rtd` daemon that was installed in previous releases no longer works starting with Neuron 1.16.0.\n\nTo see details of Neuron component versions please see [Release Content](../../../release-notes/releasecontent.html#neuron-release-content).\n\n### [TensorFlow model server](#id15)[#](#tensorflow-model-server \"Permalink to this headline\")\n\nStarting from _Neuron 1.16.0_, TensorFlow Neuron model server will be packaged together with `libnrt.so` and will expect `aws-neuron-dkms` _version 2.1.5.0_ or newer for proper operation.\n\nNote\n\nThe TensorFlow Neuron model server included in _Neuron 1.16.0_ should run from the directory in which it was installed, as it will not run properly if copied to a different location due to its dependency on `libnrt.so`.\n\n## [How will this change affect me?](#id17)[#](#how-will-this-change-affect-me \"Permalink to this headline\")\n\n### [Migrate your application to Neuron Runtime 2.x (libnrt.so)](#id19)[#](#migrate-your-application-to-neuron-runtime-2-x-libnrt-so \"Permalink to this headline\")\n\nFor a successful migration of your application to _Neuron 1.16.0_ or newer from previous releases, please make sure you perform the following:\n\n1. Prerequisite\n \n Please read “[How will this change affect the Neuron SDK?](#libnrt-neuron-cmponents)” section.\n \n2. Make sure you are not using _Neuron Runtime 1.x_ (`aws-neuron-runtime`)\n \n - Remove any code that install `aws-neuron-runtime` from any CI/CD scripts.\n \n - Stop `neuron-rtd` by running: `sudo systemctl stop neuron-rtd`\n \n - Uninstall `neuron-rtd` by running: `sudo apt remove aws-neuron-runtime` or `sudo yum remove aws-neuron-runtime`\n \n \n3. Upgrade to your Neuron Framework of choice:\n \n - [Update to latest PyTorch Neuron (torch-neuron)](../../../frameworks/torch/torch-neuron/setup/pytorch-update.html#update-neuron-pytorch).\n \n - [Update to latest TensorFlow Neuron](../../../frameworks/tensorflow/tensorflow-neuron/setup/tensorflow-update.html#update-neuron-tensorflow).\n \n - [Update to latest MXNet Neuron](../../../frameworks/mxnet-neuron/setup/mxnet-update.html#update-neuron-mxnet).\n \n \n4. If you have a code that start and/or stop `neuron-rtd`\n \n Remove any code that start or stop `neuron-rtd` from any CI/CD scripts.\n \n5. Application running multiple `neuron-rtd`\n \n If your application runs multiple processes and required running multiple `neuron-rtd` daemons:\n \n - Remove the code that runs multiple `neuron-rtd` daemons.\n \n - Instead of allocating Neuron devices to `neuron-rtd` through configuration files, use `NEURON_RT_VISIBLE_CORES` or `NEURON_RT_NUM_CORES` environment variables to allocate NeuronCores. See [Neuron Runtime Configuration](../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration) for details.\n \n \n If you application uses `NEURONCORE_GROUP_SIZES`, see next item.\n \n Note\n \n `NEURON_RT_VISIBLE_CORES` and `NEURON_RT_NUM_CORES` environment variables enables you to allocate NeuronCores to an application. Allocating NeuronCores improves application granularity because Neuron device include multiple NeuronCores.\n \n6. Application running multiple processes using `NEURONCORE_GROUP_SIZES`\n \n - Please consider using `NEURON_RT_VISIBLE_CORES` or `NEURON_RT_NUM_CORES` environment variables instead of `NEURONCORE_GROUP_SIZES` as it is being deprecated,\n \n \n see [Neuron Runtime Configuration](../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration) for details.\n \n - If you are using TensorFlow Neuron (`tensorflow-neuron (TF2.x)`) and you are replacing `NEURONCORE_GROUP_SIZES=AxB` which enables auto multicore replication, please see the new api [TensorFlow Neuron (tensorflow-neuron) Auto Multicore Replication (Experimental)](../../../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html#tensorflow-ref-auto-replication-python-api) for usage and documentation.\n \n - Your application behavior will remain the same as before if you do not set `NEURON_RT_VISIBLE_CORES` and do not set `NEURON_RT_NUM_CORES`.\n \n - If you are considering migrating to `NEURON_RT_VISIBLE_CORES` or `NEURON_RT_NUM_CORES`, please use the following guidelines:\n \n - `NEURON_RT_VISIBLE_CORES` takes precedence over `NEURON_RT_NUM_CORES`.\n \n - If you are migrating to `NEURON_RT_VISIBLE_CORES`:\n \n > - For TensorFlow applications or PyTorch applications make sure that `NEURONCORE_GROUP_SIZES` is unset, or that `NEURONCORE_GROUP_SIZES` allocate the same or less number of NeuronCores allocated by `NEURON_RT_VISIBLE_CORES`.\n > \n > - For MXNet applications, setting `NEURONCORE_GROUP_SIZES` and `NEURON_RT_VISIBLE_CORES` environment variables at the same time is not supported. Please use `NEURON_RT_VISIBLE_CORES` only.\n > \n > - See [Neuron Runtime Configuration](../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration) for more details of how to use `NEURON_RT_VISIBLE_CORES`.\n > \n \n - If you are migrating to `NEURON_RT_NUM_CORES`:\n \n > - Make sure that `NEURONCORE_GROUP_SIZES` is unset.\n > \n > - See [Neuron Runtime Configuration](../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration) for more details of how to use `NEURON_RT_NUM_CORES`.\n > \n \n \n7. Application running multiple processes accessing same NeuronCore\n \n If your application accesses the same NeuronCore from multiple processes, this is no longer possible with `libnrt.so`. Instead, please modify your application to access the same NeuronCore from multiple threads.\n \n Note\n \n For optimal performance of multi-model execution, each NeuronCore should execute a single model.\n \n8. Neuron Tools\n \n - If you are using Neuron Monitor, see neuron-monitor-upg for details.\n \n - If you are using `neuron-cli` please remove any call to `neuron-cli`. For more information, see [10/27/2021 - neuron-cli enters maintenance mode](../../announcements/neuron1.x/announcements.html#maintenance-neuron-cli).\n \n \n9. Containers\n \n If your application is running within a container, and it previously executed `neuron-rtd` within the container, you need to re-build your container so it will not include or install `aws-neuron-runtime`. See neuron-containers and containers-migration-to-runtime2 for details.\n \n\n## [Troubleshooting](#id20)[#](#troubleshooting \"Permalink to this headline\")\n\n### [Application fails to start](#id21)[#](#application-fails-to-start \"Permalink to this headline\")\n\n#### Description[#](#description \"Permalink to this headline\")\n\nStarting from _Neuron 1.16.0_ release, Neuron Runtime (`libnrt.so`) requires _Neuron Driver 2.0_ or greater (`aws-neuron-dkms`). Neuron Runtime requires Neuron Driver(`aws-neuron-dkms` package) to access Neuron devices.\n\nIf `aws-neuron-dkms` is not installed then the application will fail with an error message on console and syslog that look like the following:\n\n```\nNRT:nrt_init Unable to determine Neuron Driver version. Please check aws-neuron-dkms package is installed.\n\n```\n\nIf an old `aws-neuron-dkms` is installed then the application will fail with an error message on console and syslog that look like the following:\n\n```\nNRT:nrt_init This runtime requires Neuron Driver version 2.0 or greater. Please upgrade aws-neuron-dkms package.\n\n```\n\n#### Solution[#](#solution \"Permalink to this headline\")\n\nPlease follow the installation steps in install-guide-index to install `aws-neuron-dkms`.\n\n### [Application fails to start although I installed latest `aws-neuron-dkms`](#id22)[#](#application-fails-to-start-although-i-installed-latest-aws-neuron-dkms \"Permalink to this headline\")\n\n#### Description[#](#id1 \"Permalink to this headline\")\n\nStarting from _Neuron 1.16.0_ release, Neuron Runtime (`libnrt.so`) require _Neuron Driver 2.0_ or greater (`aws-neuron-dkms`). If an old `aws-neuron-dkms` is installed, the application will fail. You may try to install `aws-neuron-dkms` and still face application failure, this may happen because the `aws-neuron-dkms` installation failed as a result of `neuron-rtd` daemon that is still running .\n\n#### Solution[#](#id2 \"Permalink to this headline\")\n\n- Stop `neuron-rtd` by running: `sudo systemctl stop neuron-rtd`\n \n- Uninstall `neuron-rtd` by running: `sudo apt remove aws-neuron-runtime` or sudo `yum remove aws-neuron-runtime`\n \n- Install `aws-neuron-dkms` by following steps in install-guide-index\n \n\n### [Application unexpected behavior when upgrading to release _Neuron 1.16.0_ or newer](#id23)[#](#application-unexpected-behavior-when-upgrading-to-release-neuron-1-16-0-or-newer \"Permalink to this headline\")\n\n#### Description[#](#id3 \"Permalink to this headline\")\n\nWhen upgrading to release _Neuron 1.16.0_ or newer from previous releases, the OS may include two different versions of _Neuron Runtime_: the `libnrt.so` shared library and `neuron-rtd` daemon. This can happen if the user didn’t stop `neuron-rtd` daemon or didn’t make sure to uninstall the existing Neuron version before upgrade. In this case the user application may behave unexpectedly.\n\n#### Solution[#](#id4 \"Permalink to this headline\")\n\nIf the OS includes two different versions of _Neuron Runtime_, `libnrt.so` shared library and `neuron-rtd` daemon:\n\n> - Before running applications that use `neuron-rtd`, restart `neuron-rtd` by calling `sudo systemctl restart neuron-rtd`.\n> \n> - Before running applications linked with `libnrt.so`, stop `neuron-rtd` by calling `sudo systemctl stop neuron-rtd`.\n> \n\n### [Application unexpected behavior when downgrading to releases before _Neuron 1.6.0_ (from _Neuron 1.16.0_ or newer)](#id24)[#](#application-unexpected-behavior-when-downgrading-to-releases-before-neuron-1-6-0-from-neuron-1-16-0-or-newer \"Permalink to this headline\")\n\n#### Description[#](#id5 \"Permalink to this headline\")\n\nWhen upgrading to release _Neuron 1.16.0_ or newer from previous releases, and then downgrading back to releases before _Neuron 1.6.0_, the OS may include two different versions of _Neuron Runtime_: the `libnrt.so` shared library and `neuron-rtd` daemon. This can happen if the user didn’t make sure to uninstall the existing Neuron version before upgrade or downgrade. In this case the user application may behave unexpectedly.\n\n#### Solution[#](#id6 \"Permalink to this headline\")\n\nIf the OS include two different versions of _Neuron Runtime_, `libnrt.so` shared library and `neuron-rtd` daemon:\n\n> - Before running applications that use `neuron-rtd`, restart `neuron-rtd` by calling `sudo systemctl restart neuron-rtd`.\n> \n> - Before running applications linked with `libnrt.so`, stop `neuron-rtd` by calling `sudo systemctl stop neuron-rtd`.\n> \n\n### [Neuron Core is in use](#id25)[#](#neuron-core-is-in-use \"Permalink to this headline\")\n\n#### Description[#](#id7 \"Permalink to this headline\")\n\nA Neuron Core can’t be shared between two applications. If an application started using a Neuron Core all other applications trying to use the NeuronCore would fail during runtime initialization with the following message in the console and in syslog:\n\n```\nERROR NRT:nrt_allocate_neuron_cores NeuronCore(s) not available - Requested:nc1-nc1 Available:0\n\n```\n\n#### Solution[#](#id8 \"Permalink to this headline\")\n\nTerminate the the process using NeuronCore and then try launching the application again.\n\n## [Frequently Asked Questions (FAQ)](#id26)[#](#frequently-asked-questions-faq \"Permalink to this headline\")\n\n### [Can `libnrt.so` and `neuron-rtd` co-exist in the same environment?](#id29)[#](#can-libnrt-so-and-neuron-rtd-co-exist-in-the-same-environment \"Permalink to this headline\")\n\nAlthough we recommend upgrading to the latest Neuron release, we understand that for a transition period you may continue using `neuron-rtd` for old releases. If you are using Neuron Framework (PyTorch,TensorFlow or MXNet) from releases before _Neuron 1.16.0_:\n\n- Install the latest Neuron Driver (`aws-neuron-dkms`)\n \n\n- For development, we recommend using different environments for Neuron Framework (PyTorch,TensorFlow or MXNet) from releases before _Neuron 1.16.0_ and for Neuron Framework (PyTorch,TensorFlow or MXNet) from _Neuron 1.16.0_ and newer, if that is not possible, please make sure to stop `neuron-rtd` before executing models using Neuron Framework (PyTorch,TensorFlow or MXNet) from _Neuron 1.16.0_ and newer.\n \n- For deployment, when you are ready to upgrade, please upgrade to Neuron Framework (PyTorch,TensorFlow or MXNet) from _Neuron 1.16.0_ and newer. see [Migrate your application to Neuron Runtime 2.x (libnrt.so)](#neuron-migrating-apps-neuron-to-libnrt) for more information.\n \n\nWarning\n\nExecuting models using Neuron Framework (PyTorch,TensorFlow or MXNet) from _Neuron 1.16.0_ and newer in an environment where `neuron-rtd` is running may cause undefined behavior. Please make sure to stop `neuron-rtd` before executing models using Neuron Framework (PyTorch,TensorFlow or MXNet) from _Neuron 1.16.0_ and newer."},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Introducing Neuron Runtime 2.x (libnrt.so) — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../../../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link href=\"../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n\n \n <link rel=\"stylesheet\" href=\"../../../_static/vendor/fontawesome/5.13.0/css/all.min.css\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" href=\"../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" 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class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorial-libtorch.html\">\n LibTorch C++ Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-4\" name=\"toctree-checkbox-4\" type=\"checkbox\">\n <label for=\"toctree-checkbox-4\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx\">\n Transformers Neuron GitHub samples\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/inference-api-guide-torch-neuronx.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-5\" name=\"toctree-checkbox-5\" type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-26\" name=\"toctree-checkbox-26\" type=\"checkbox\">\n <label for=\"toctree-checkbox-26\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" 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href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label for=\"toctree-checkbox-31\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference 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class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-33\" name=\"toctree-checkbox-33\" type=\"checkbox\">\n <label for=\"toctree-checkbox-33\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/api-compilation-python-api.html\">\n Neuron Apache MXNet (Incubating) Compilation Python API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-34\" name=\"toctree-checkbox-34\" type=\"checkbox\">\n <label for=\"toctree-checkbox-34\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../mxnet-neuron/flex-eg.html\">\n Flexible Execution Group (FlexEG) in Neuron-MXNet\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/misc-mxnet-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-35\" name=\"toctree-checkbox-35\" type=\"checkbox\">\n <label for=\"toctree-checkbox-35\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for Neuron Apache MXNet (Incubating)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/mxnet-neuron/mxnet-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-mxnet.html\">\n Neuron Apache MXNet (Incubating) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Libraries\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/transformers-neuronx/index.html\">\n Transformers Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-36\" name=\"toctree-checkbox-36\" type=\"checkbox\">\n <label for=\"toctree-checkbox-36\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../libraries/transformers-neuronx/setup/index.html\">\n Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" 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href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-66b-sampling.ipynb\">\n Hugging Face facebook/opt-66b autoregressive sampling on Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/transformers-neuronx/transformers-neuronx-misc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-39\" name=\"toctree-checkbox-39\" type=\"checkbox\">\n <label for=\"toctree-checkbox-39\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/transformers-neuronx/index.html\">\n Transformers Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n transformers-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/index.html\">\n Neuron Distributed\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-40\" name=\"toctree-checkbox-40\" type=\"checkbox\">\n <label for=\"toctree-checkbox-40\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/setup/index.html\">\n Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/app_notes.html\">\n App Notes\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-41\" name=\"toctree-checkbox-41\" type=\"checkbox\">\n <label for=\"toctree-checkbox-41\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/tensor_parallelism_overview.html\">\n Tensor Parallelism Overview\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-42\" name=\"toctree-checkbox-42\" type=\"checkbox\">\n <label for=\"toctree-checkbox-42\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/api_guide.html\">\n API Reference Guide (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-43\" name=\"toctree-checkbox-43\" type=\"checkbox\">\n <label for=\"toctree-checkbox-43\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/tp_developer_guide.html\">\n Developer guide for Tensor Parallelism (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/tutorials/index.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-44\" name=\"toctree-checkbox-44\" type=\"checkbox\">\n <label for=\"toctree-checkbox-44\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/tutorials/training.html\">\n Training using Tensor Parallelism\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/tutorials/training-gpt-neox.html\">\n Training GPT-NeoX 6.9B using TP and ZeRO-1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/tutorials/training-gpt-neox-20b.html\">\n Training GPT-NeoX 20B using TP and ZeRO-1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../src/examples/pytorch/neuronx_distributed/t5-inference/t5-inference-tutorial.html\">\n T5 inference with Tensor Parallelism\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/tutorials/inference.html\">\n Inference using Tensor Parallelism\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a 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href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html\">\n Neuron Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/index.html\">\n Neuron C++ Custom Operators\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-59\" name=\"toctree-checkbox-59\" type=\"checkbox\">\n <label for=\"toctree-checkbox-59\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/api-reference-guide/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-60\" name=\"toctree-checkbox-60\" type=\"checkbox\">\n <label for=\"toctree-checkbox-60\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" 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class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/nccom-test.html\">\n NCCOM-TEST User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" name=\"toctree-checkbox-66\" type=\"checkbox\">\n <label for=\"toctree-checkbox-66\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/tutorials/tutorial-tensorboard-scalars-mnist.html\">\n Track Training Progress in TensorBoard using PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" 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Check Model\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/helper-tools/tutorial-neuron-gatherinfo.html\">\n GatherInfo\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/index.html\">\n NeuronPerf (Beta)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-68\" name=\"toctree-checkbox-68\" type=\"checkbox\">\n <label for=\"toctree-checkbox-68\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_overview.html\">\n Overview\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_terminology.html\">\n Terminology\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_evaluate_guide.html\">\n Evaluate Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_compile_guide.html\">\n Compile Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_model_index_guide.html\">\n Model Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li 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</li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../setup/index.html\">\n Setup Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-70\" name=\"toctree-checkbox-70\" type=\"checkbox\">\n <label for=\"toctree-checkbox-70\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" name=\"toctree-checkbox-71\" type=\"checkbox\">\n <label for=\"toctree-checkbox-71\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-72\" name=\"toctree-checkbox-72\" type=\"checkbox\">\n <label for=\"toctree-checkbox-72\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-73\" name=\"toctree-checkbox-73\" type=\"checkbox\">\n <label for=\"toctree-checkbox-73\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/tutorial-infer.html\">\n Run inference in pytorch neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/k8s_rn50_demo.html\">\n Deploy a TensorFlow Resnet50 model as a Kubernetes service\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label for=\"toctree-checkbox-74\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/tutorial-training.html\">\n Run training in Pytorch Neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/k8s_mlp_train_demo.html\">\n Deploy a simple mlp training script as a Kubernetes job\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-75\" name=\"toctree-checkbox-75\" type=\"checkbox\">\n <label for=\"toctree-checkbox-75\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-79\" name=\"toctree-checkbox-79\" type=\"checkbox\">\n <label for=\"toctree-checkbox-79\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/index.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-80\" name=\"toctree-checkbox-80\" type=\"checkbox\">\n <label for=\"toctree-checkbox-80\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/ec2-flows.html\">\n AWS EC2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-82\" name=\"toctree-checkbox-82\" type=\"checkbox\">\n <label for=\"toctree-checkbox-82\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-83\" name=\"toctree-checkbox-83\" type=\"checkbox\">\n <label for=\"toctree-checkbox-83\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-then-ec2-devflow.html\">\n Compile with Framework API and Deploy on EC2 Inf1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-then-ec2-devflow-inf2.html\">\n Compile with Framework API and Deploy on EC2 Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/training/ec2-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-84\" name=\"toctree-checkbox-84\" type=\"checkbox\">\n <label for=\"toctree-checkbox-84\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/training/ec2/ec2-training.html\">\n Train your model on EC2\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/eks-flows.html\">\n Amazon EKS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-85\" name=\"toctree-checkbox-85\" type=\"checkbox\">\n <label for=\"toctree-checkbox-85\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/eks-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-86\" name=\"toctree-checkbox-86\" type=\"checkbox\">\n <label for=\"toctree-checkbox-86\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/training/eks-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/ecs-flows.html\">\n AWS ECS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-87\" name=\"toctree-checkbox-87\" type=\"checkbox\">\n <label for=\"toctree-checkbox-87\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ecs-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-88\" name=\"toctree-checkbox-88\" type=\"checkbox\">\n <label for=\"toctree-checkbox-88\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/training/ecs-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/sagemaker-flows.html\">\n Sagemaker\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-89\" name=\"toctree-checkbox-89\" type=\"checkbox\">\n <label for=\"toctree-checkbox-89\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/sagemaker-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-90\" name=\"toctree-checkbox-90\" type=\"checkbox\">\n <label for=\"toctree-checkbox-90\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/byoc-hosting-devflow-inf2.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf2 or trn1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/byoc-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/neo-then-hosting-devflow.html\">\n Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/training/sagemaker-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-91\" name=\"toctree-checkbox-91\" type=\"checkbox\">\n <label for=\"toctree-checkbox-91\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/training/sm-devflow/sm-training-devflow.html\">\n Train your model on SageMaker\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sagemaker-samples\">\n AWS Neuron Sagemaker Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/parallelcluster-flows.html\">\n Parallel Cluster\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-92\" name=\"toctree-checkbox-92\" type=\"checkbox\">\n <label for=\"toctree-checkbox-92\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/inference/parallelcluster-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/training/parallelcluster-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-93\" name=\"toctree-checkbox-93\" type=\"checkbox\">\n <label for=\"toctree-checkbox-93\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/training/parallelcluster/parallelcluster-training.html\">\n Train your model on ParallelCluster\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/aws-batch-flows.html\">\n AWS Batch Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-94\" name=\"toctree-checkbox-94\" type=\"checkbox\">\n <label for=\"toctree-checkbox-94\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/inference/aws-batch-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/training/aws-batch-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Learning Neuron\n </span>\n</p>\n<ul class=\"current nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../arch/index.html\">\n Architecture\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-95\" name=\"toctree-checkbox-95\" type=\"checkbox\">\n <label for=\"toctree-checkbox-95\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inf1-arch.html\">\n AWS Inf1 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/trn1-arch.html\">\n AWS Trn1/Trn1n Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inf2-arch.html\">\n AWS Inf2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inferentia.html\">\n Inferentia Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inferentia2.html\">\n Inferentia2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/trainium.html\">\n Trainium Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/neuroncores-arch.html\">\n AWS NeuronCore Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/model-architecture-fit.html\">\n Neuron Model Architecture Fit Guidelines\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/glossary.html\">\n Neuron Glossary\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/index.html\">\n Features\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-96\" name=\"toctree-checkbox-96\" type=\"checkbox\">\n <label for=\"toctree-checkbox-96\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/data-types.html\">\n Data Types\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/rounding-modes.html\">\n Rounding Modes\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/neuroncore-batching.html\">\n Neuron Batching\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/neuroncore-pipeline.html\">\n NeuronCore Pipeline\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/collective-communication.html\">\n Collective Communication\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/control-flow.html\">\n Neuron Control Flow\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/custom-c%2B%2B-operators.html\">\n Neuron Custom C++ Operators\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/dynamic-shapes.html\">\n Neuron Dynamic Shapes\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 current active has-children\">\n <a class=\"reference internal\" href=\"../index.html\">\n Application Notes\n </a>\n <input checked=\"\" class=\"toctree-checkbox\" id=\"toctree-checkbox-97\" name=\"toctree-checkbox-97\" type=\"checkbox\">\n <label for=\"toctree-checkbox-97\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul class=\"current\">\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../announcements/neuron2.x/neuron2-intro.html\">\n Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)\n </a>\n </li>\n <li class=\"toctree-l2 current active\">\n <a class=\"current reference internal\" href=\"#\">\n Introducing Neuron Runtime 2.x (libnrt.so)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../perf/neuron-cc/performance-tuning.html\">\n Performance Tuning\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../perf/neuron-cc/parallel-ncgs.html\">\n Parallel Execution using NEURON_RT_NUM_CORES\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../torch-neuron/rcnn-app-note.html\">\n Running R-CNNs on Inf1\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../transformers-neuronx/generative-llm-inference-with-neuron.html\">\n Generative LLM inference with Neuron\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n About Neuron\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../../release-notes/release.html\">\n Release Details\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../roadmap-readme.html\">\n Roadmap\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-98\" name=\"toctree-checkbox-98\" type=\"checkbox\">\n <label for=\"toctree-checkbox-98\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference external\" href=\"https://github.com/orgs/aws-neuron/projects/1/views/1\">\n Neuron Public Roadmap\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../support.html\">\n Support\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-99\" name=\"toctree-checkbox-99\" type=\"checkbox\">\n <label for=\"toctree-checkbox-99\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../sdk-policy.html\">\n SDK Maintenance Policy\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../security.html\">\n Security Disclosures\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../contact.html\">\n Contact Us\n </a>\n </li>\n 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class=\"headerbtn menu-dropdown__trigger\" aria-label=\"Download this page\">\n <i class=\"fas fa-download\"></i>\n </button>\n <div class=\"menu-dropdown__content\">\n <ul>\n <li>\n <a href=\"../../../_sources/general/appnotes/neuron1x/introducing-libnrt.rst.txt\" class=\"headerbtn\" data-toggle=\"tooltip\" data-placement=\"left\" title=\"\" data-original-title=\"Download source file\">\n \n\n<span class=\"headerbtn__icon-container\">\n <i class=\"fas fa-file\"></i>\n </span>\n<span class=\"headerbtn__text-container\">.rst</span>\n</a>\n\n </li>\n \n <li>\n \n<button onclick=\"printPdf(this)\" class=\"headerbtn\" data-toggle=\"tooltip\" data-placement=\"left\" title=\"\" data-original-title=\"Print to PDF\">\n \n\n<span class=\"headerbtn__icon-container\">\n <i class=\"fas fa-file-pdf\"></i>\n </span>\n<span class=\"headerbtn__text-container\">.pdf</span>\n</button>\n\n </li>\n \n </ul>\n </div>\n</div>\n<label for=\"__page-toc\" class=\"headerbtn headerbtn-page-toc\">\n \n\n<span class=\"headerbtn__icon-container\">\n <i class=\"fas fa-list\"></i>\n </span>\n\n</label>\n\n </div>\n</div>\n\n<!-- Table of contents -->\n<div class=\"col-md-3 bd-toc show noprint\">\n <div class=\"tocsection onthispage pt-5 pb-3\">\n <i class=\"fas fa-list\"></i> Contents\n </div>\n <nav id=\"bd-toc-nav\" aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#what-are-we-changing\">\n What are we changing?\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#why-are-we-making-this-change\">\n Why are we making this change?\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#how-will-this-change-affect-the-neuron-sdk\">\n How will this change affect the Neuron SDK?\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-driver\">\n Neuron Driver\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-runtime\">\n Neuron Runtime\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-framework-extensions\">\n Neuron framework extensions\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#tensorflow-model-server\">\n TensorFlow model server\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-tools\">\n Neuron tools\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#how-will-this-change-affect-me\">\n How will this change affect me?\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-installation-and-upgrade\">\n Neuron installation and upgrade\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#migrate-your-application-to-neuron-runtime-2-x-libnrt-so\">\n Migrate your application to Neuron Runtime 2.x (libnrt.so)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#troubleshooting\">\n Troubleshooting\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#application-fails-to-start\">\n Application fails to start\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#description\">\n Description\n </a>\n </li>\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#solution\">\n Solution\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#application-fails-to-start-although-i-installed-latest-aws-neuron-dkms\">\n Application fails to start although I installed latest\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n aws-neuron-dkms\n </span>\n </code>\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id1\">\n Description\n </a>\n </li>\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id2\">\n Solution\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#application-unexpected-behavior-when-upgrading-to-release-neuron-1-16-0-or-newer\">\n Application unexpected behavior when upgrading to release\n <em>\n Neuron 1.16.0\n </em>\n or newer\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id3\">\n Description\n </a>\n </li>\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id4\">\n Solution\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#application-unexpected-behavior-when-downgrading-to-releases-before-neuron-1-6-0-from-neuron-1-16-0-or-newer\">\n Application unexpected behavior when downgrading to releases before\n <em>\n Neuron 1.6.0\n </em>\n (from\n <em>\n Neuron 1.16.0\n </em>\n or newer)\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id5\">\n Description\n </a>\n </li>\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id6\">\n Solution\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-core-is-in-use\">\n Neuron Core is in use\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id7\">\n Description\n </a>\n </li>\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id8\">\n Solution\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#frequently-asked-questions-faq\">\n Frequently Asked Questions (FAQ)\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#do-i-need-to-recompile-my-model-to-run-it-with-neuron-runtime-2-x-libnrt-so\">\n Do I need to recompile my model to run it with Neuron Runtime 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n libnrt.so\n </span>\n </code>\n )?\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#do-i-need-to-change-my-application-launch-command\">\n Do I need to change my application launch command?\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#can-libnrt-so-and-neuron-rtd-co-exist-in-the-same-environment\">\n Can\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n libnrt.so\n </span>\n </code>\n and\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuron-rtd\n </span>\n </code>\n co-exist in the same environment?\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#are-there-neuron-framework-versions-that-will-not-support-neuron-runtime-2-x-libnrt-so\">\n Are there Neuron framework versions that will not support Neuron Runtime 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n libnrt.so\n </span>\n </code>\n )?\n </a>\n </li>\n </ul>\n </li>\n</ul>\n\n </nav>\n</div>\n </div>\n <div class=\"article row\">\n <div class=\"col pl-md-3 pl-lg-5 content-container\">\n <!-- Table of contents that is only displayed when printing the page -->\n <div id=\"jb-print-docs-body\" class=\"onlyprint\">\n <h1>Introducing Neuron Runtime 2.x (libnrt.so)</h1>\n <!-- Table of contents -->\n <div id=\"print-main-content\">\n <div id=\"jb-print-toc\">\n \n <div>\n <h2> Contents </h2>\n </div>\n <nav aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#what-are-we-changing\">\n What are we changing?\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#why-are-we-making-this-change\">\n Why are we making this change?\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#how-will-this-change-affect-the-neuron-sdk\">\n How will this change affect the Neuron SDK?\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-driver\">\n Neuron Driver\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-runtime\">\n Neuron Runtime\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-framework-extensions\">\n Neuron framework extensions\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#tensorflow-model-server\">\n TensorFlow model server\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-tools\">\n Neuron tools\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#how-will-this-change-affect-me\">\n How will this change affect me?\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-installation-and-upgrade\">\n Neuron installation and upgrade\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#migrate-your-application-to-neuron-runtime-2-x-libnrt-so\">\n Migrate your application to Neuron Runtime 2.x (libnrt.so)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#troubleshooting\">\n Troubleshooting\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#application-fails-to-start\">\n Application fails to start\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#description\">\n Description\n </a>\n </li>\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#solution\">\n Solution\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#application-fails-to-start-although-i-installed-latest-aws-neuron-dkms\">\n Application fails to start although I installed latest\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n aws-neuron-dkms\n </span>\n </code>\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id1\">\n Description\n </a>\n </li>\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id2\">\n Solution\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#application-unexpected-behavior-when-upgrading-to-release-neuron-1-16-0-or-newer\">\n Application unexpected behavior when upgrading to release\n <em>\n Neuron 1.16.0\n </em>\n or newer\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id3\">\n Description\n </a>\n </li>\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id4\">\n Solution\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#application-unexpected-behavior-when-downgrading-to-releases-before-neuron-1-6-0-from-neuron-1-16-0-or-newer\">\n Application unexpected behavior when downgrading to releases before\n <em>\n Neuron 1.6.0\n </em>\n (from\n <em>\n Neuron 1.16.0\n </em>\n or newer)\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id5\">\n Description\n </a>\n </li>\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id6\">\n Solution\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-core-is-in-use\">\n Neuron Core is in use\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id7\">\n Description\n </a>\n </li>\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#id8\">\n Solution\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#frequently-asked-questions-faq\">\n Frequently Asked Questions (FAQ)\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#do-i-need-to-recompile-my-model-to-run-it-with-neuron-runtime-2-x-libnrt-so\">\n Do I need to recompile my model to run it with Neuron Runtime 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n libnrt.so\n </span>\n </code>\n )?\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#do-i-need-to-change-my-application-launch-command\">\n Do I need to change my application launch command?\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#can-libnrt-so-and-neuron-rtd-co-exist-in-the-same-environment\">\n Can\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n libnrt.so\n </span>\n </code>\n and\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuron-rtd\n </span>\n </code>\n co-exist in the same environment?\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#are-there-neuron-framework-versions-that-will-not-support-neuron-runtime-2-x-libnrt-so\">\n Are there Neuron framework versions that will not support Neuron Runtime 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n libnrt.so\n </span>\n </code>\n )?\n </a>\n </li>\n </ul>\n </li>\n</ul>\n\n </nav>\n </div>\n </div>\n </div>\n <main id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code></p>\n<div class=\"section\" id=\"introducing-neuron-runtime-2-x-libnrt-so\">\n<span id=\"introduce-libnrt\"></span><h1>Introducing Neuron Runtime 2.x (libnrt.so)<a class=\"headerlink\" href=\"#introducing-neuron-runtime-2-x-libnrt-so\" title=\"Permalink to this headline\">#</a></h1>\n<div class=\"contents local topic\" id=\"table-of-contents\">\n<p class=\"topic-title\">Table of contents</p>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"#what-are-we-changing\" id=\"id9\">What are we changing?</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#why-are-we-making-this-change\" id=\"id10\">Why are we making this change?</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#how-will-this-change-affect-the-neuron-sdk\" id=\"id11\">How will this change affect the Neuron SDK?</a></p>\n<ul>\n<li><p><a class=\"reference internal\" href=\"#neuron-driver\" id=\"id12\">Neuron Driver</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#neuron-runtime\" id=\"id13\">Neuron Runtime</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#neuron-framework-extensions\" id=\"id14\">Neuron framework extensions</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#tensorflow-model-server\" id=\"id15\">TensorFlow model server</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#neuron-tools\" id=\"id16\">Neuron tools</a></p></li>\n</ul>\n</li>\n<li><p><a class=\"reference internal\" href=\"#how-will-this-change-affect-me\" id=\"id17\">How will this change affect me?</a></p>\n<ul>\n<li><p><a class=\"reference internal\" href=\"#neuron-installation-and-upgrade\" id=\"id18\">Neuron installation and upgrade</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#migrate-your-application-to-neuron-runtime-2-x-libnrt-so\" id=\"id19\">Migrate your application to Neuron Runtime 2.x (libnrt.so)</a></p></li>\n</ul>\n</li>\n<li><p><a class=\"reference internal\" href=\"#troubleshooting\" id=\"id20\">Troubleshooting</a></p>\n<ul>\n<li><p><a class=\"reference internal\" href=\"#application-fails-to-start\" id=\"id21\">Application fails to start</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#application-fails-to-start-although-i-installed-latest-aws-neuron-dkms\" id=\"id22\">Application fails to start although I installed latest <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code></a></p></li>\n<li><p><a class=\"reference internal\" href=\"#application-unexpected-behavior-when-upgrading-to-release-neuron-1-16-0-or-newer\" id=\"id23\">Application unexpected behavior when upgrading to release <em>Neuron 1.16.0</em> or newer</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#application-unexpected-behavior-when-downgrading-to-releases-before-neuron-1-6-0-from-neuron-1-16-0-or-newer\" id=\"id24\">Application unexpected behavior when downgrading to releases before <em>Neuron 1.6.0</em> (from <em>Neuron 1.16.0</em> or newer)</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#neuron-core-is-in-use\" id=\"id25\">Neuron Core is in use</a></p></li>\n</ul>\n</li>\n<li><p><a class=\"reference internal\" href=\"#frequently-asked-questions-faq\" id=\"id26\">Frequently Asked Questions (FAQ)</a></p>\n<ul>\n<li><p><a class=\"reference internal\" href=\"#do-i-need-to-recompile-my-model-to-run-it-with-neuron-runtime-2-x-libnrt-so\" id=\"id27\">Do I need to recompile my model to run it with Neuron Runtime 2.x (<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>)?</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#do-i-need-to-change-my-application-launch-command\" id=\"id28\">Do I need to change my application launch command?</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#can-libnrt-so-and-neuron-rtd-co-exist-in-the-same-environment\" id=\"id29\">Can <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> and <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> co-exist in the same environment?</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#are-there-neuron-framework-versions-that-will-not-support-neuron-runtime-2-x-libnrt-so\" id=\"id30\">Are there Neuron framework versions that will not support Neuron Runtime 2.x (<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>)?</a></p></li>\n</ul>\n</li>\n</ul>\n</div>\n<div class=\"section\" id=\"what-are-we-changing\">\n<h2><a class=\"toc-backref\" href=\"#id9\">What are we changing?</a><a class=\"headerlink\" href=\"#what-are-we-changing\" title=\"Permalink to this headline\">#</a></h2>\n<p>Starting with <em>Neuron 1.16.0</em> release, <em>Neuron Runtime 1.x</em> (<code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code>) is entering maintenance mode and is replaced by <em>Neuron Runtime 2.x</em>, a shared library named (<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>). For more information on Runtime 1.x see <a class=\"reference internal\" href=\"../../announcements/neuron1.x/announcements.html#maintenance-rtd\"><span class=\"std std-ref\">10/27/2021 - Neuron Runtime 1.x (neuron-rtd) enters maintenance mode</span></a>.</p>\n<p>Upgrading to <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> simplifies Neuron installation and upgrade process, introduces new capabilities for allocating NeuronCores\nto applications, streamlines container creation, and deprecates tools that are no longer needed.</p>\n<p>This document describes the capabilities of <em>Neuron Runtime 2.x</em> in detail, provides information needed for successful installation and upgrade,\nand provides information needed for successful upgrade of Neuron applications using <em>Neuron Runtime 1.x</em> (included in releases before <em>Neuron 1.16.0</em>)\nto <em>Neuron Runtime 2.x</em> (included in releases <em>Neuron 1.16.0</em> or newer).</p>\n</div>\n<div class=\"section\" id=\"why-are-we-making-this-change\">\n<span id=\"introduce-libnrt-why\"></span><h2><a class=\"toc-backref\" href=\"#id10\">Why are we making this change?</a><a class=\"headerlink\" href=\"#why-are-we-making-this-change\" title=\"Permalink to this headline\">#</a></h2>\n<p>Before <em>Neuron 1.16.0</em>, Neuron Runtime was delivered as a daemon (<code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code>), and communicated with Neuron framework extensions through a <code class=\"docutils literal notranslate\"><span class=\"pre\">gRPC</span></code> interface.\n<code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> was packaged as an <code class=\"docutils literal notranslate\"><span class=\"pre\">rpm</span></code> or <code class=\"docutils literal notranslate\"><span class=\"pre\">debian</span></code> package (<code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-runtime</span></code>) and required a separate installation step.</p>\n<p>Starting with <em>Neuron 1.16.0</em>, <em>Neuron Runtime 2.x</em> is delivered as a shared\nlibrary (<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>) and is directly linked to Neuron framework extensions.\n<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> is packaged and installed as part of Neuron framework extensions\n(e.g. TensorFlow Neuron, PyTorch Neuron or MXNet Neuron), and does not require a\nseparate installation step. Installing Neuron Runtime as part of the Neuron\nframework extensions simplifies installation and improves the user experience.\nIn addition, since <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> is directly linked to Neuron framework\nextensions, it enables faster communication between the Neuron Runtime and\nNeuron Frameworks by eliminating the <code class=\"docutils literal notranslate\"><span class=\"pre\">gRPC</span></code> interface overhead.</p>\n<p>For more information please see <a class=\"reference internal\" href=\"#introduce-libnrt-how-sdk\"><span class=\"std std-ref\">How will this change affect the Neuron SDK?</span></a> and <a class=\"reference internal\" href=\"#neuron-migrating-apps-neuron-to-libnrt\"><span class=\"std std-ref\">Migrate your application to Neuron Runtime 2.x (libnrt.so)</span></a>.</p>\n</div>\n<div class=\"section\" id=\"how-will-this-change-affect-the-neuron-sdk\">\n<span id=\"introduce-libnrt-how-sdk\"></span><span id=\"libnrt-neuron-cmponents\"></span><h2><a class=\"toc-backref\" href=\"#id11\">How will this change affect the Neuron SDK?</a><a class=\"headerlink\" href=\"#how-will-this-change-affect-the-neuron-sdk\" title=\"Permalink to this headline\">#</a></h2>\n<div class=\"section\" id=\"neuron-driver\">\n<h3><a class=\"toc-backref\" href=\"#id12\">Neuron Driver</a><a class=\"headerlink\" href=\"#neuron-driver\" title=\"Permalink to this headline\">#</a></h3>\n<p>You need to use latest Neuron Driver. For successful installation and upgrade to <em>Neuron 1.16.0</em> or newer,\nyou must install or upgrade to Neuron Driver (<code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code>) <em>version 2.1.5.0</em> or newer. Neuron applications using <em>Neuron 1.16.0</em> will fail if\nthey do not detect <em>Neuron Driver version 2.1.5.0</em> or newer. For installation and upgrade instructions see <span class=\"xref std std-ref\">install-guide-index</span>.</p>\n<div class=\"admonition important\">\n<p class=\"admonition-title\">Important</p>\n<p>Starting Neuron version 2.3, <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> package name is changed to <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuronx-dkms</span></code>, see <a class=\"reference internal\" href=\"../../announcements/neuron2.x/neuron2-intro.html#neuron2-intro\"><span class=\"std std-ref\">Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)</span></a></p>\n</div>\n<p>To see details of Neuron component versions please see <a class=\"reference internal\" href=\"../../../release-notes/releasecontent.html#neuron-release-content\"><span class=\"std std-ref\">Release Content</span></a>.</p>\n<div class=\"admonition important\">\n<p class=\"admonition-title\">Important</p>\n<dl class=\"simple\">\n<dt>For successful installation or update to Neuron 1.16.0 and newer from previous releases:</dt><dd><ul class=\"simple\">\n<li><p>Stop Neuron Runtime 1.x daemon (<code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code>) by running: <code class=\"docutils literal notranslate\"><span class=\"pre\">sudo</span> <span class=\"pre\">systemctl</span> <span class=\"pre\">stop</span> <span class=\"pre\">neuron-rtd</span></code></p></li>\n<li><p>Uninstall <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> by running: <code class=\"docutils literal notranslate\"><span class=\"pre\">sudo</span> <span class=\"pre\">apt</span> <span class=\"pre\">remove</span> <span class=\"pre\">aws-neuron-runtime</span></code> or <code class=\"docutils literal notranslate\"><span class=\"pre\">sudo</span> <span class=\"pre\">yum</span> <span class=\"pre\">remove</span> <span class=\"pre\">aws-neuron-runtime</span></code></p></li>\n<li><p>Install or upgrade to latest Neuron Driver (<code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code>) by following the <span class=\"xref std std-ref\">install-guide-index</span> instructions.</p></li>\n<li><p>Starting Neuron version 2.3, <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> package name is changed to <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuronx-dkms</span></code>, see <a class=\"reference internal\" href=\"../../announcements/neuron2.x/neuron2-intro.html#neuron2-intro\"><span class=\"std std-ref\">Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)</span></a></p></li>\n</ul>\n</dd>\n</dl>\n</div>\n</div>\n<div class=\"section\" id=\"neuron-runtime\">\n<h3><a class=\"toc-backref\" href=\"#id13\">Neuron Runtime</a><a class=\"headerlink\" href=\"#neuron-runtime\" title=\"Permalink to this headline\">#</a></h3>\n<ul>\n<li><p>Installation\nStarting from <em>Neuron 1.16.0</em>, Neuron releases will no longer include the <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-runtime</span> <span class=\"pre\">packages</span></code>, and the Neuron Runtime will be part of the Neuron\nframework extension of choice (TensorFlow Neuron, PyTorch Neuron or MXNet Neuron). Installing any Neuron framework package will install the Neuron Runtime library\n(<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>).</p>\n<blockquote>\n<div><ul class=\"simple\">\n<li><p>For installation and upgrade instructions see <span class=\"xref std std-ref\">install-guide-index</span>.</p></li>\n</ul>\n</div></blockquote>\n</li>\n<li><dl class=\"simple\">\n<dt>Configuring <em>Neuron Runtime</em></dt><dd><p>Before <em>Neuron 1.16.0</em>, configuring <em>Neuron Runtime 1.x</em> was performed through configuration files (e.g. /opt/aws/neuron/config/neuron-rtd.config).\nStarting from <em>Neuron 1.16.0</em>, configuring <em>Neuron Runtime 2.x</em> can be done through environment variables, see <a class=\"reference internal\" href=\"../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration\"><span class=\"std std-ref\">Neuron Runtime Configuration</span></a> for details.</p>\n</dd>\n</dl>\n</li>\n<li><dl class=\"simple\">\n<dt>Starting and Stopping <em>Neuron Runtime</em></dt><dd><p>Before introducing <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> ran as a daemon that communicated through a <code class=\"docutils literal notranslate\"><span class=\"pre\">gRPC</span></code> interface. Whenever <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> took ownership of a Neuron device,\nit continued owning that device until it was stopped. This created the need to stop <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> in certain cases. With the introduction of <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>, stopping\nand starting the <em>Neuron Runtime</em> is no longer needed as it runs inside the context of the application. With <em>Neuron Runtime 2.x</em>, the act of starting and stopping a Neuron application will cause <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> to automatically claim or release the ownership of the required Neuron devices.</p>\n</dd>\n</dl>\n</li>\n<li><dl>\n<dt>NeuronCore Groups (NCG) deprecation</dt><dd><p>Before the introduction of <em>Neuron Runtime 2.x</em>, NeuronCore Group (NCG) has been used to define an execution group of one or more NeuronCores\nwhere models can be loaded and executed. It also provided separation between processes.</p>\n<p>With the introduction of <em>Neuron Runtime 2.x</em>, the strict separation of NeuronCores into groups is no longer needed and NeuronCore Groups (NCG) is\ndeprecated. see <a class=\"reference internal\" href=\"../../announcements/neuron1.x/announcements.html#eol-ncg\"><span class=\"std std-ref\">10/27/2021 - End of support for NeuronCore Groups (NCG)</span></a> for more information.</p>\n</dd>\n</dl>\n</li>\n<li><dl>\n<dt>Running multiple <em>Neuron Runtimes</em></dt><dd><p>Before the introduction of <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>, you needed to run multiple <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> daemons to allocate Neuron devices for each <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code>\nusing configuration files.\nAfter the introduction of <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>, you will no longer need to run multiple <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> daemons to allocate Neuron devices to specific Neuron application .\nWith <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> allocation of NeuronCores (Neuron device include multiple NeuronCores) to a particular application is done by using <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_VISIBLE_CORES</span></code> or <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code>\nenvironment variables, for example:</p>\n<div class=\"highlight-default notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"n\">NEURON_RT_VISIBLE_CORES</span><span class=\"o\">=</span><span class=\"mi\">0</span><span class=\"o\">-</span><span class=\"mi\">3</span> <span class=\"n\">myapp1</span><span class=\"o\">.</span><span class=\"n\">py</span>\n<span class=\"n\">NEURON_RT_VISIBLE_CORES</span><span class=\"o\">=</span><span class=\"mi\">4</span><span class=\"o\">-</span><span class=\"mi\">11</span> <span class=\"n\">myapp2</span><span class=\"o\">.</span><span class=\"n\">py</span>\n</pre></div>\n</div>\n<p>Or</p>\n<div class=\"highlight-default notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"n\">NEURON_RT_NUM_CORES</span><span class=\"o\">=</span><span class=\"mi\">3</span> <span class=\"n\">myapp1</span><span class=\"o\">.</span><span class=\"n\">py</span> <span class=\"o\">&</span>\n<span class=\"n\">NEURON_RT_NUM_CORES</span><span class=\"o\">=</span><span class=\"mi\">4</span> <span class=\"n\">myapp2</span><span class=\"o\">.</span><span class=\"n\">py</span> <span class=\"o\">&</span>\n</pre></div>\n</div>\n<p>See <a class=\"reference internal\" href=\"../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration\"><span class=\"std std-ref\">Neuron Runtime Configuration</span></a> for details.</p>\n</dd>\n</dl>\n</li>\n<li><dl class=\"simple\">\n<dt>Logging</dt><dd><p>Similar to <em>Neuron Runtime 1.x</em>, <em>Neuron Runtime 2.x</em> logs to syslog (verbose logging). To make debugging easier, <em>Neuron Runtime 2.x</em> also logs to the console (error-only logging). Refer to <a class=\"reference internal\" href=\"../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration\"><span class=\"std std-ref\">Neuron Runtime Configuration</span></a> to see how to increase or decrease logging verbosity.</p>\n</dd>\n</dl>\n</li>\n<li><dl>\n<dt>Multi-process access to NeuronCores</dt><dd><p>With the introduction of <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>, it’s no longer possible to load models on the same NeuronCore from multiple processes.\nAccess to the same NeuronCore should be done from the same process.\nInstead you can load models on the same NeuronCore using multiple threads from the same process.</p>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p>For optimal performance of multi-model execution, each NeuronCore should execute single model.</p>\n</div>\n</dd>\n</dl>\n</li>\n<li><dl class=\"simple\">\n<dt>Neuron Runtime architecture</dt><dd><p><em>Neuron Runtime 2.x</em> is delivered as a shared library (<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>) and is directly linked to Neuron framework extensions.\n<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> is packaged and installed as part of Neuron framework extensions\n(e.g. TensorFlow Neuron, PyTorch Neuron or MXNet Neuron), and does not require a\nseparate installation step. Installing Neuron Runtime as part of the Neuron\nframework extensions simplifies installation and improves the user experience.\nIn addition, since <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> is directly linked to Neuron framework\nextensions, it enables faster communication between the Neuron Runtime and\nNeuron Frameworks by eliminating the <code class=\"docutils literal notranslate\"><span class=\"pre\">gRPC</span></code> interface overhead.</p>\n</dd>\n</dl>\n</li>\n</ul>\n</div>\n<div class=\"section\" id=\"neuron-framework-extensions\">\n<h3><a class=\"toc-backref\" href=\"#id14\">Neuron framework extensions</a><a class=\"headerlink\" href=\"#neuron-framework-extensions\" title=\"Permalink to this headline\">#</a></h3>\n<p>Starting from <em>Neuron 1.16.0</em>, Neuron framework extensions (TensorFlow Neuron, PyTorch Neuron or MXNet Neuron) will be packaged together with\n<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>. It is required to install the <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> Driver version 2.1.5.0 or newer for proper operation. The <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> daemon\nthat was installed in previous releases no longer works starting with Neuron 1.16.0.</p>\n<p>To see details of Neuron component versions please see <a class=\"reference internal\" href=\"../../../release-notes/releasecontent.html#neuron-release-content\"><span class=\"std std-ref\">Release Content</span></a>.</p>\n</div>\n<div class=\"section\" id=\"tensorflow-model-server\">\n<h3><a class=\"toc-backref\" href=\"#id15\">TensorFlow model server</a><a class=\"headerlink\" href=\"#tensorflow-model-server\" title=\"Permalink to this headline\">#</a></h3>\n<p>Starting from <em>Neuron 1.16.0</em>, TensorFlow Neuron model server will be packaged together with <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> and will expect <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code>\n<em>version 2.1.5.0</em> or newer for proper operation.</p>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p>The TensorFlow Neuron model server included in <em>Neuron 1.16.0</em> should run from the directory in which it was installed, as it will not run properly if copied to a different location due to its dependency on <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>.</p>\n</div>\n<div class=\"admonition important\">\n<p class=\"admonition-title\">Important</p>\n<p>Starting Neuron version 2.3, <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> package name is changed to <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuronx-dkms</span></code>, see <a class=\"reference internal\" href=\"../../announcements/neuron2.x/neuron2-intro.html#neuron2-intro\"><span class=\"std std-ref\">Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)</span></a></p>\n</div>\n</div>\n<div class=\"section\" id=\"neuron-tools\">\n<h3><a class=\"toc-backref\" href=\"#id16\">Neuron tools</a><a class=\"headerlink\" href=\"#neuron-tools\" title=\"Permalink to this headline\">#</a></h3>\n<ul class=\"simple\">\n<li><p><code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-cli</span></code> - Starting from <em>Neuron 1.16.0</em>, <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-cli</span></code> enters maintenance mode, see <a class=\"reference internal\" href=\"../../announcements/neuron1.x/announcements.html#maintenance-neuron-cli\"><span class=\"std std-ref\">10/27/2021 - neuron-cli enters maintenance mode</span></a> for more information.</p></li>\n<li><p><code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-top</span></code> - Starting from <em>Neuron 1.16.0</em>, <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-top</span></code> has a new user interface, see <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/neuron-top-user-guide.html#neuron-top-ug\"><span class=\"std std-ref\">Neuron Top User Guide</span></a> for more information.</p></li>\n<li><p><code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-monitor</span></code> - <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-monitor</span></code> was updated to support Neuron Runtime 2.x (<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>)</p>\n<ul>\n<li><p>See <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/neuron-monitor-user-guide.html#neuron-monitor-ug\"><span class=\"std std-ref\">Neuron Monitor User Guide</span></a> for a updated user guide of <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-monitor</span></code>.</p></li>\n<li><p>See <span class=\"xref std std-ref\">neuron-monitor-upg</span> for a list of changes between <em>Neuron Monitor 2.x</em> and <em>Neuron Monitor 1.0</em></p></li>\n<li><p>See <span class=\"xref std std-ref\">neuron-monitor-bwc</span> for how you can use <em>Neuron Monitor 2.x</em> with <em>Neuron Runtime 1.x</em> (<code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code>) .</p></li>\n</ul>\n</li>\n</ul>\n</div>\n</div>\n<div class=\"section\" id=\"how-will-this-change-affect-me\">\n<span id=\"introduce-libnrt-how-user\"></span><h2><a class=\"toc-backref\" href=\"#id17\">How will this change affect me?</a><a class=\"headerlink\" href=\"#how-will-this-change-affect-me\" title=\"Permalink to this headline\">#</a></h2>\n<div class=\"section\" id=\"neuron-installation-and-upgrade\">\n<h3><a class=\"toc-backref\" href=\"#id18\">Neuron installation and upgrade</a><a class=\"headerlink\" href=\"#neuron-installation-and-upgrade\" title=\"Permalink to this headline\">#</a></h3>\n<p>As explained in “<a class=\"reference internal\" href=\"#libnrt-neuron-cmponents\"><span class=\"std std-ref\">How will this change affect the Neuron SDK?</span></a>”, starting from <em>Neuron 1.16.0</em>, <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> requires the latest Neuron Driver (<code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code>),\nin addition there is no longer the need to install <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-runtime</span></code>. To install Neuron or upgrade to latest Neuron version, please follow the\ninstallation and upgrade instructions below:</p>\n<ul class=\"simple\">\n<li><dl class=\"simple\">\n<dt>PyTorch Neuron</dt><dd><ul>\n<li><p><a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/setup/pytorch-install.html#install-neuron-pytorch\"><span class=\"std std-ref\">Install PyTorch Neuron (torch-neuron)</span></a>.</p></li>\n<li><p><a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/setup/pytorch-update.html#update-neuron-pytorch\"><span class=\"std std-ref\">Update to latest PyTorch Neuron (torch-neuron)</span></a>.</p></li>\n</ul>\n</dd>\n</dl>\n</li>\n<li><dl class=\"simple\">\n<dt>TensorFlow Neuron</dt><dd><ul>\n<li><p><a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/setup/tensorflow-install.html#install-neuron-tensorflow\"><span class=\"std std-ref\">Install TensorFlow Neuron</span></a>.</p></li>\n<li><p><a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/setup/tensorflow-update.html#update-neuron-tensorflow\"><span class=\"std std-ref\">Update to latest TensorFlow Neuron</span></a>.</p></li>\n</ul>\n</dd>\n</dl>\n</li>\n<li><dl class=\"simple\">\n<dt>MXNet Neuron</dt><dd><ul>\n<li><p><a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/setup/mxnet-install.html#install-neuron-mxnet\"><span class=\"std std-ref\">Install MXNet Neuron</span></a>.</p></li>\n<li><p><a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/setup/mxnet-update.html#update-neuron-mxnet\"><span class=\"std std-ref\">Update to latest MXNet Neuron</span></a>.</p></li>\n</ul>\n</dd>\n</dl>\n</li>\n</ul>\n<div class=\"admonition important\">\n<p class=\"admonition-title\">Important</p>\n<p>Starting Neuron version 2.3, <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> package name is changed to <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuronx-dkms</span></code>, see <a class=\"reference internal\" href=\"../../announcements/neuron2.x/neuron2-intro.html#neuron2-intro\"><span class=\"std std-ref\">Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)</span></a></p>\n</div>\n</div>\n<div class=\"section\" id=\"migrate-your-application-to-neuron-runtime-2-x-libnrt-so\">\n<span id=\"neuron-migrating-apps-neuron-to-libnrt\"></span><h3><a class=\"toc-backref\" href=\"#id19\">Migrate your application to Neuron Runtime 2.x (libnrt.so)</a><a class=\"headerlink\" href=\"#migrate-your-application-to-neuron-runtime-2-x-libnrt-so\" title=\"Permalink to this headline\">#</a></h3>\n<p>For a successful migration of your application to <em>Neuron 1.16.0</em> or newer from previous releases, please make sure you perform the following:</p>\n<ol class=\"arabic\">\n<li><dl class=\"simple\">\n<dt>Prerequisite</dt><dd><p>Please read “<a class=\"reference internal\" href=\"#libnrt-neuron-cmponents\"><span class=\"std std-ref\">How will this change affect the Neuron SDK?</span></a>” section.</p>\n</dd>\n</dl>\n</li>\n<li><dl class=\"simple\">\n<dt>Make sure you are not using <em>Neuron Runtime 1.x</em> (<code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-runtime</span></code>)</dt><dd><ul class=\"simple\">\n<li><p>Remove any code that install <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-runtime</span></code> from any CI/CD scripts.</p></li>\n<li><p>Stop <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> by running: <code class=\"docutils literal notranslate\"><span class=\"pre\">sudo</span> <span class=\"pre\">systemctl</span> <span class=\"pre\">stop</span> <span class=\"pre\">neuron-rtd</span></code></p></li>\n<li><p>Uninstall <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> by running: <code class=\"docutils literal notranslate\"><span class=\"pre\">sudo</span> <span class=\"pre\">apt</span> <span class=\"pre\">remove</span> <span class=\"pre\">aws-neuron-runtime</span></code> or <code class=\"docutils literal notranslate\"><span class=\"pre\">sudo</span> <span class=\"pre\">yum</span> <span class=\"pre\">remove</span> <span class=\"pre\">aws-neuron-runtime</span></code></p></li>\n</ul>\n</dd>\n</dl>\n</li>\n<li><dl class=\"simple\">\n<dt>Upgrade to your Neuron Framework of choice:</dt><dd><ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/setup/pytorch-update.html#update-neuron-pytorch\"><span class=\"std std-ref\">Update to latest PyTorch Neuron (torch-neuron)</span></a>.</p></li>\n<li><p><a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/setup/tensorflow-update.html#update-neuron-tensorflow\"><span class=\"std std-ref\">Update to latest TensorFlow Neuron</span></a>.</p></li>\n<li><p><a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/setup/mxnet-update.html#update-neuron-mxnet\"><span class=\"std std-ref\">Update to latest MXNet Neuron</span></a>.</p></li>\n</ul>\n</dd>\n</dl>\n</li>\n<li><dl class=\"simple\">\n<dt>If you have a code that start and/or stop <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code></dt><dd><p>Remove any code that start or stop <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> from any CI/CD scripts.</p>\n</dd>\n</dl>\n</li>\n<li><dl>\n<dt>Application running multiple <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code></dt><dd><p>If your application runs multiple processes and required running multiple <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> daemons:</p>\n<ul class=\"simple\">\n<li><p>Remove the code that runs multiple <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> daemons.</p></li>\n<li><p>Instead of allocating Neuron devices to <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> through configuration files, use <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_VISIBLE_CORES</span></code> or <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code> environment variables to\nallocate NeuronCores. See <a class=\"reference internal\" href=\"../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration\"><span class=\"std std-ref\">Neuron Runtime Configuration</span></a> for details.</p></li>\n</ul>\n<p>If you application uses <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURONCORE_GROUP_SIZES</span></code>, see next item.</p>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p><code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_VISIBLE_CORES</span></code> and <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code> environment variables enables you to allocate NeuronCores to an application. Allocating NeuronCores improves application granularity because Neuron device include multiple NeuronCores.</p>\n</div>\n</dd>\n</dl>\n</li>\n<li><dl>\n<dt>Application running multiple processes using <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURONCORE_GROUP_SIZES</span></code></dt><dd><ul class=\"simple\">\n<li><p>Please consider using <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_VISIBLE_CORES</span></code> or <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code> environment variables instead of <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURONCORE_GROUP_SIZES</span></code> as it is being deprecated,</p></li>\n</ul>\n<p>see <a class=\"reference internal\" href=\"../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration\"><span class=\"std std-ref\">Neuron Runtime Configuration</span></a> for details.</p>\n<ul>\n<li><p>If you are using TensorFlow Neuron (<code class=\"docutils literal notranslate\"><span class=\"pre\">tensorflow-neuron</span> <span class=\"pre\">(TF2.x)</span></code>) and you are replacing <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURONCORE_GROUP_SIZES=AxB</span></code> which enables auto multicore replication, please see the new api <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html#tensorflow-ref-auto-replication-python-api\"><span class=\"std std-ref\">TensorFlow Neuron (tensorflow-neuron) Auto Multicore Replication (Experimental)</span></a> for usage and documentation.</p></li>\n<li><p>Your application behavior will remain the same as before if you do not set <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_VISIBLE_CORES</span></code> and do not set <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code>.</p></li>\n<li><p>If you are considering migrating to <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_VISIBLE_CORES</span></code> or <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code>, please use the following guidelines:</p>\n<ul>\n<li><p><code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_VISIBLE_CORES</span></code> takes precedence over <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code>.</p></li>\n<li><p>If you are migrating to <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_VISIBLE_CORES</span></code>:</p>\n<blockquote>\n<div><ul class=\"simple\">\n<li><p>For TensorFlow applications or PyTorch applications make sure that <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURONCORE_GROUP_SIZES</span></code> is unset, or that <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURONCORE_GROUP_SIZES</span></code> allocate the same or less number of NeuronCores allocated by <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_VISIBLE_CORES</span></code>.</p></li>\n<li><p>For MXNet applications, setting <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURONCORE_GROUP_SIZES</span></code> and <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_VISIBLE_CORES</span></code> environment variables at the same time is not supported. Please use <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_VISIBLE_CORES</span></code> only.</p></li>\n<li><p>See <a class=\"reference internal\" href=\"../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration\"><span class=\"std std-ref\">Neuron Runtime Configuration</span></a> for more details of how to use <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_VISIBLE_CORES</span></code>.</p></li>\n</ul>\n</div></blockquote>\n</li>\n<li><p>If you are migrating to <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code>:</p>\n<blockquote>\n<div><ul class=\"simple\">\n<li><p>Make sure that <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURONCORE_GROUP_SIZES</span></code> is unset.</p></li>\n<li><p>See <a class=\"reference internal\" href=\"../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration\"><span class=\"std std-ref\">Neuron Runtime Configuration</span></a> for more details of how to use <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code>.</p></li>\n</ul>\n</div></blockquote>\n</li>\n</ul>\n</li>\n</ul>\n</dd>\n</dl>\n</li>\n<li><dl>\n<dt>Application running multiple processes accessing same NeuronCore</dt><dd><p>If your application accesses the same NeuronCore from multiple processes, this is no longer possible with <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>.\nInstead, please modify your application to access the same NeuronCore from multiple threads.</p>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p>For optimal performance of multi-model execution, each NeuronCore should execute a single model.</p>\n</div>\n</dd>\n</dl>\n</li>\n<li><dl class=\"simple\">\n<dt>Neuron Tools</dt><dd><ul class=\"simple\">\n<li><p>If you are using Neuron Monitor, see <span class=\"xref std std-ref\">neuron-monitor-upg</span> for details.</p></li>\n<li><p>If you are using <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-cli</span></code> please remove any call to <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-cli</span></code>. For more information, see <a class=\"reference internal\" href=\"../../announcements/neuron1.x/announcements.html#maintenance-neuron-cli\"><span class=\"std std-ref\">10/27/2021 - neuron-cli enters maintenance mode</span></a>.</p></li>\n</ul>\n</dd>\n</dl>\n</li>\n<li><dl class=\"simple\">\n<dt>Containers</dt><dd><p>If your application is running within a container, and it previously executed <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> within the container, you need\nto re-build your container so it will not include or install <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-runtime</span></code>. See <span class=\"xref std std-ref\">neuron-containers</span> and <span class=\"xref std std-ref\">containers-migration-to-runtime2</span> for details.</p>\n</dd>\n</dl>\n</li>\n</ol>\n</div>\n</div>\n<div class=\"section\" id=\"troubleshooting\">\n<h2><a class=\"toc-backref\" href=\"#id20\">Troubleshooting</a><a class=\"headerlink\" href=\"#troubleshooting\" title=\"Permalink to this headline\">#</a></h2>\n<div class=\"section\" id=\"application-fails-to-start\">\n<h3><a class=\"toc-backref\" href=\"#id21\">Application fails to start</a><a class=\"headerlink\" href=\"#application-fails-to-start\" title=\"Permalink to this headline\">#</a></h3>\n<div class=\"section\" id=\"description\">\n<h4>Description<a class=\"headerlink\" href=\"#description\" title=\"Permalink to this headline\">#</a></h4>\n<p>Starting from <em>Neuron 1.16.0</em> release, Neuron Runtime (<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>) requires <em>Neuron Driver 2.0</em> or greater (<code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code>). Neuron Runtime requires Neuron Driver(<code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> package) to access Neuron devices.</p>\n<p>If <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> is not installed then the application will fail with an error message on console and syslog that look like the following:</p>\n<div class=\"highlight-default notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"n\">NRT</span><span class=\"p\">:</span><span class=\"n\">nrt_init</span> <span class=\"n\">Unable</span> <span class=\"n\">to</span> <span class=\"n\">determine</span> <span class=\"n\">Neuron</span> <span class=\"n\">Driver</span> <span class=\"n\">version</span><span class=\"o\">.</span> <span class=\"n\">Please</span> <span class=\"n\">check</span> <span class=\"n\">aws</span><span class=\"o\">-</span><span class=\"n\">neuron</span><span class=\"o\">-</span><span class=\"n\">dkms</span> <span class=\"n\">package</span> <span class=\"ow\">is</span> <span class=\"n\">installed</span><span class=\"o\">.</span>\n</pre></div>\n</div>\n<p>If an old <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> is installed then the application will fail with an error message on console and syslog that look like the following:</p>\n<div class=\"highlight-default notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"n\">NRT</span><span class=\"p\">:</span><span class=\"n\">nrt_init</span> <span class=\"n\">This</span> <span class=\"n\">runtime</span> <span class=\"n\">requires</span> <span class=\"n\">Neuron</span> <span class=\"n\">Driver</span> <span class=\"n\">version</span> <span class=\"mf\">2.0</span> <span class=\"ow\">or</span> <span class=\"n\">greater</span><span class=\"o\">.</span> <span class=\"n\">Please</span> <span class=\"n\">upgrade</span> <span class=\"n\">aws</span><span class=\"o\">-</span><span class=\"n\">neuron</span><span class=\"o\">-</span><span class=\"n\">dkms</span> <span class=\"n\">package</span><span class=\"o\">.</span>\n</pre></div>\n</div>\n</div>\n<div class=\"section\" id=\"solution\">\n<h4>Solution<a class=\"headerlink\" href=\"#solution\" title=\"Permalink to this headline\">#</a></h4>\n<p>Please follow the installation steps in <span class=\"xref std std-ref\">install-guide-index</span> to install <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code>.</p>\n<div class=\"admonition important\">\n<p class=\"admonition-title\">Important</p>\n<p>Starting Neuron version 2.3, <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> package name is changed to <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuronx-dkms</span></code>, see <a class=\"reference internal\" href=\"../../announcements/neuron2.x/neuron2-intro.html#neuron2-intro\"><span class=\"std std-ref\">Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)</span></a></p>\n</div>\n</div>\n</div>\n<div class=\"section\" id=\"application-fails-to-start-although-i-installed-latest-aws-neuron-dkms\">\n<h3><a class=\"toc-backref\" href=\"#id22\">Application fails to start although I installed latest <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code></a><a class=\"headerlink\" href=\"#application-fails-to-start-although-i-installed-latest-aws-neuron-dkms\" title=\"Permalink to this headline\">#</a></h3>\n<div class=\"section\" id=\"id1\">\n<h4>Description<a class=\"headerlink\" href=\"#id1\" title=\"Permalink to this headline\">#</a></h4>\n<p>Starting from <em>Neuron 1.16.0</em> release, Neuron Runtime (<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>) require <em>Neuron Driver 2.0</em> or greater (<code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code>). If an old <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> is installed, the application will fail. You may try to install <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> and still face application failure, this may happen because the <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> installation failed as a result of <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> daemon that is still running .</p>\n</div>\n<div class=\"section\" id=\"id2\">\n<h4>Solution<a class=\"headerlink\" href=\"#id2\" title=\"Permalink to this headline\">#</a></h4>\n<ul class=\"simple\">\n<li><p>Stop <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> by running: <code class=\"docutils literal notranslate\"><span class=\"pre\">sudo</span> <span class=\"pre\">systemctl</span> <span class=\"pre\">stop</span> <span class=\"pre\">neuron-rtd</span></code></p></li>\n<li><p>Uninstall <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> by running: <code class=\"docutils literal notranslate\"><span class=\"pre\">sudo</span> <span class=\"pre\">apt</span> <span class=\"pre\">remove</span> <span class=\"pre\">aws-neuron-runtime</span></code> or sudo <code class=\"docutils literal notranslate\"><span class=\"pre\">yum</span> <span class=\"pre\">remove</span> <span class=\"pre\">aws-neuron-runtime</span></code></p></li>\n<li><p>Install <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> by following steps in <span class=\"xref std std-ref\">install-guide-index</span></p></li>\n</ul>\n<div class=\"admonition important\">\n<p class=\"admonition-title\">Important</p>\n<p>Starting Neuron version 2.3, <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> package name is changed to <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuronx-dkms</span></code>, see <a class=\"reference internal\" href=\"../../announcements/neuron2.x/neuron2-intro.html#neuron2-intro\"><span class=\"std std-ref\">Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)</span></a></p>\n</div>\n</div>\n</div>\n<div class=\"section\" id=\"application-unexpected-behavior-when-upgrading-to-release-neuron-1-16-0-or-newer\">\n<h3><a class=\"toc-backref\" href=\"#id23\">Application unexpected behavior when upgrading to release <em>Neuron 1.16.0</em> or newer</a><a class=\"headerlink\" href=\"#application-unexpected-behavior-when-upgrading-to-release-neuron-1-16-0-or-newer\" title=\"Permalink to this headline\">#</a></h3>\n<div class=\"section\" id=\"id3\">\n<h4>Description<a class=\"headerlink\" href=\"#id3\" title=\"Permalink to this headline\">#</a></h4>\n<p>When upgrading to release <em>Neuron 1.16.0</em> or newer from previous releases, the OS may include two different versions of\n<em>Neuron Runtime</em>: the <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> shared library and <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> daemon. This can happen if the user didn’t stop <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> daemon\nor didn’t make sure to uninstall the existing Neuron version before upgrade.\nIn this case the user application may behave unexpectedly.</p>\n</div>\n<div class=\"section\" id=\"id4\">\n<h4>Solution<a class=\"headerlink\" href=\"#id4\" title=\"Permalink to this headline\">#</a></h4>\n<p>If the OS includes two different versions of <em>Neuron Runtime</em>, <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> shared library and <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> daemon:</p>\n<blockquote>\n<div><ul class=\"simple\">\n<li><p>Before running applications that use <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code>, restart <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> by calling <code class=\"docutils literal notranslate\"><span class=\"pre\">sudo</span> <span class=\"pre\">systemctl</span> <span class=\"pre\">restart</span> <span class=\"pre\">neuron-rtd</span></code>.</p></li>\n<li><p>Before running applications linked with <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>, stop <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> by calling <code class=\"docutils literal notranslate\"><span class=\"pre\">sudo</span> <span class=\"pre\">systemctl</span> <span class=\"pre\">stop</span> <span class=\"pre\">neuron-rtd</span></code>.</p></li>\n</ul>\n</div></blockquote>\n</div>\n</div>\n<div class=\"section\" id=\"application-unexpected-behavior-when-downgrading-to-releases-before-neuron-1-6-0-from-neuron-1-16-0-or-newer\">\n<h3><a class=\"toc-backref\" href=\"#id24\">Application unexpected behavior when downgrading to releases before <em>Neuron 1.6.0</em> (from <em>Neuron 1.16.0</em> or newer)</a><a class=\"headerlink\" href=\"#application-unexpected-behavior-when-downgrading-to-releases-before-neuron-1-6-0-from-neuron-1-16-0-or-newer\" title=\"Permalink to this headline\">#</a></h3>\n<div class=\"section\" id=\"id5\">\n<h4>Description<a class=\"headerlink\" href=\"#id5\" title=\"Permalink to this headline\">#</a></h4>\n<p>When upgrading to release <em>Neuron 1.16.0</em> or newer from previous releases, and then downgrading back to releases before <em>Neuron 1.6.0</em>,\nthe OS may include two different versions of <em>Neuron Runtime</em>: the <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> shared library and <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> daemon. This can happen\nif the user didn’t make sure to uninstall the existing Neuron version before upgrade or downgrade.\nIn this case the user application may behave unexpectedly.</p>\n</div>\n<div class=\"section\" id=\"id6\">\n<h4>Solution<a class=\"headerlink\" href=\"#id6\" title=\"Permalink to this headline\">#</a></h4>\n<p>If the OS include two different versions of <em>Neuron Runtime</em>, <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> shared library and <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> daemon:</p>\n<blockquote>\n<div><ul class=\"simple\">\n<li><p>Before running applications that use <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code>, restart <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> by calling <code class=\"docutils literal notranslate\"><span class=\"pre\">sudo</span> <span class=\"pre\">systemctl</span> <span class=\"pre\">restart</span> <span class=\"pre\">neuron-rtd</span></code>.</p></li>\n<li><p>Before running applications linked with <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>, stop <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> by calling <code class=\"docutils literal notranslate\"><span class=\"pre\">sudo</span> <span class=\"pre\">systemctl</span> <span class=\"pre\">stop</span> <span class=\"pre\">neuron-rtd</span></code>.</p></li>\n</ul>\n</div></blockquote>\n</div>\n</div>\n<div class=\"section\" id=\"neuron-core-is-in-use\">\n<h3><a class=\"toc-backref\" href=\"#id25\">Neuron Core is in use</a><a class=\"headerlink\" href=\"#neuron-core-is-in-use\" title=\"Permalink to this headline\">#</a></h3>\n<div class=\"section\" id=\"id7\">\n<h4>Description<a class=\"headerlink\" href=\"#id7\" title=\"Permalink to this headline\">#</a></h4>\n<p>A Neuron Core can’t be shared between two applications. If an application\nstarted using a Neuron Core all other applications trying to use the\nNeuronCore would fail during runtime initialization with the following\nmessage in the console and in syslog:</p>\n<div class=\"highlight-bash notranslate\"><div class=\"highlight\"><pre><span></span>ERROR<span class=\"w\"> </span>NRT:nrt_allocate_neuron_cores<span class=\"w\"> </span>NeuronCore<span class=\"o\">(</span>s<span class=\"o\">)</span><span class=\"w\"> </span>not<span class=\"w\"> </span>available<span class=\"w\"> </span>-<span class=\"w\"> </span>Requested:nc1-nc1<span class=\"w\"> </span>Available:0\n</pre></div>\n</div>\n</div>\n<div class=\"section\" id=\"id8\">\n<h4>Solution<a class=\"headerlink\" href=\"#id8\" title=\"Permalink to this headline\">#</a></h4>\n<p>Terminate the the process using NeuronCore and then try launching the application again.</p>\n</div>\n</div>\n</div>\n<div class=\"section\" id=\"frequently-asked-questions-faq\">\n<h2><a class=\"toc-backref\" href=\"#id26\">Frequently Asked Questions (FAQ)</a><a class=\"headerlink\" href=\"#frequently-asked-questions-faq\" title=\"Permalink to this headline\">#</a></h2>\n<div class=\"section\" id=\"do-i-need-to-recompile-my-model-to-run-it-with-neuron-runtime-2-x-libnrt-so\">\n<h3><a class=\"toc-backref\" href=\"#id27\">Do I need to recompile my model to run it with Neuron Runtime 2.x (<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>)?</a><a class=\"headerlink\" href=\"#do-i-need-to-recompile-my-model-to-run-it-with-neuron-runtime-2-x-libnrt-so\" title=\"Permalink to this headline\">#</a></h3>\n<p>No.</p>\n</div>\n<div class=\"section\" id=\"do-i-need-to-change-my-application-launch-command\">\n<h3><a class=\"toc-backref\" href=\"#id28\">Do I need to change my application launch command?</a><a class=\"headerlink\" href=\"#do-i-need-to-change-my-application-launch-command\" title=\"Permalink to this headline\">#</a></h3>\n<p>No.</p>\n</div>\n<div class=\"section\" id=\"can-libnrt-so-and-neuron-rtd-co-exist-in-the-same-environment\">\n<h3><a class=\"toc-backref\" href=\"#id29\">Can <code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code> and <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> co-exist in the same environment?</a><a class=\"headerlink\" href=\"#can-libnrt-so-and-neuron-rtd-co-exist-in-the-same-environment\" title=\"Permalink to this headline\">#</a></h3>\n<p>Although we recommend upgrading to the latest Neuron release, we understand that for a transition period you may continue using <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> for old releases. If you are using Neuron Framework (PyTorch,TensorFlow or MXNet) from releases before <em>Neuron 1.16.0</em>:</p>\n<ul class=\"simple\">\n<li><p>Install the latest Neuron Driver (<code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code>)</p></li>\n</ul>\n<div class=\"admonition important\">\n<p class=\"admonition-title\">Important</p>\n<p>Starting Neuron version 2.3, <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuron-dkms</span></code> package name is changed to <code class=\"docutils literal notranslate\"><span class=\"pre\">aws-neuronx-dkms</span></code>, see <a class=\"reference internal\" href=\"../../announcements/neuron2.x/neuron2-intro.html#neuron2-intro\"><span class=\"std std-ref\">Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)</span></a></p>\n</div>\n<ul class=\"simple\">\n<li><p>For development, we recommend using different environments for Neuron Framework (PyTorch,TensorFlow or MXNet) from releases before <em>Neuron 1.16.0</em> and for Neuron\nFramework (PyTorch,TensorFlow or MXNet) from <em>Neuron 1.16.0</em> and newer, if that is not possible, please make sure to stop <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> before executing models using\nNeuron Framework (PyTorch,TensorFlow or MXNet) from <em>Neuron 1.16.0</em> and newer.</p></li>\n<li><p>For deployment, when you are ready to upgrade, please upgrade to Neuron Framework (PyTorch,TensorFlow or MXNet) from <em>Neuron 1.16.0</em> and newer.\nsee <a class=\"reference internal\" href=\"#neuron-migrating-apps-neuron-to-libnrt\"><span class=\"std std-ref\">Migrate your application to Neuron Runtime 2.x (libnrt.so)</span></a> for more information.</p></li>\n</ul>\n<div class=\"admonition warning\">\n<p class=\"admonition-title\">Warning</p>\n<p>Executing models using Neuron Framework (PyTorch,TensorFlow or MXNet) from <em>Neuron 1.16.0</em> and newer in an environment where <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> is running may cause\nundefined behavior. Please make sure to stop <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-rtd</span></code> before executing models using Neuron Framework (PyTorch,TensorFlow or MXNet) from <em>Neuron 1.16.0</em> and newer.</p>\n</div>\n</div>\n<div class=\"section\" id=\"are-there-neuron-framework-versions-that-will-not-support-neuron-runtime-2-x-libnrt-so\">\n<h3><a class=\"toc-backref\" href=\"#id30\">Are there Neuron framework versions that will not support Neuron Runtime 2.x (<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>)?</a><a class=\"headerlink\" href=\"#are-there-neuron-framework-versions-that-will-not-support-neuron-runtime-2-x-libnrt-so\" title=\"Permalink to this headline\">#</a></h3>\n<p>All supported PyTorch Neuron and TensorFlow framework extensions in addition to Neuron MXnet 1.8.0 framework extensions support Neuron Runtime 2.x.</p>\n<p>Neuron MxNet 1.5.1 does not support Neuron Runtime 2.x (<code class=\"docutils literal notranslate\"><span class=\"pre\">libnrt.so</span></code>) and has now entered maintenance mode. Please see <a class=\"reference internal\" href=\"../../announcements/neuron1.x/announcements.html#maintenance-mxnet-1-5\"><span class=\"std std-ref\">10/27/2021 - Neuron support for Apache MXNet 1.5 enters maintenance mode</span></a> for details.</p>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code></p>\n</div>\n</div>\n</div>\n\n<div class=\"section\">\n \n</div>\n\n </div>\n \n </main>\n <footer class=\"footer-article noprint\">\n \n <!-- Previous / next buttons -->\n<div class=\"prev-next-area\">\n <a class=\"left-prev\" id=\"prev-link\" href=\"../../announcements/neuron2.x/neuron2-intro.html\" title=\"previous page\">\n <i class=\"fas fa-angle-left\"></i>\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">previous</p>\n <p class=\"prev-next-title\">Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)</p>\n </div>\n </a>\n <a class=\"right-next\" 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Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/appnotes/index.html"},"markdown":{"kind":"string","value":"# Neuron Application Notes — AWS Neuron Documentation\n\nnext\n\nIntroducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)"},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Neuron Application Notes — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link href=\"../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n\n \n <link rel=\"stylesheet\" href=\"../../_static/vendor/fontawesome/5.13.0/css/all.min.css\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" 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</li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/tutorials/tutorial-libtorch.html\">\n LibTorch C++ Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-4\" name=\"toctree-checkbox-4\" type=\"checkbox\">\n <label for=\"toctree-checkbox-4\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx\">\n Transformers Neuron GitHub samples\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/api-reference-guide/inference/inference-api-guide-torch-neuronx.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-5\" name=\"toctree-checkbox-5\" type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../release-notes/tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-26\" name=\"toctree-checkbox-26\" type=\"checkbox\">\n <label for=\"toctree-checkbox-26\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-28\" name=\"toctree-checkbox-28\" type=\"checkbox\">\n <label for=\"toctree-checkbox-28\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuron/api-tracing-python-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label for=\"toctree-checkbox-31\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-32\" name=\"toctree-checkbox-32\" type=\"checkbox\">\n <label for=\"toctree-checkbox-32\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/mxnet-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-33\" name=\"toctree-checkbox-33\" type=\"checkbox\">\n <label for=\"toctree-checkbox-33\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../frameworks/mxnet-neuron/api-compilation-python-api.html\">\n Neuron Apache MXNet (Incubating) Compilation Python API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/mxnet-neuron/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-34\" name=\"toctree-checkbox-34\" type=\"checkbox\">\n <label for=\"toctree-checkbox-34\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"mxnet-neuron/flex-eg.html\">\n Flexible Execution Group (FlexEG) in Neuron-MXNet\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../frameworks/mxnet-neuron/misc-mxnet-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-35\" name=\"toctree-checkbox-35\" type=\"checkbox\">\n <label for=\"toctree-checkbox-35\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference 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<span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../libraries/neuronx-distributed/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-43\" name=\"toctree-checkbox-43\" type=\"checkbox\">\n <label for=\"toctree-checkbox-43\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../libraries/neuronx-distributed/tp_developer_guide.html\">\n Developer guide for Tensor Parallelism (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../libraries/neuronx-distributed/tutorials/index.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" 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href=\"../../libraries/nemo-megatron/index.html\">\n AWS Neuron Reference for NeMo Megatron\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n User Guide\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../neuron-runtime/index.html\">\n Neuron Runtime\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-46\" name=\"toctree-checkbox-46\" type=\"checkbox\">\n <label for=\"toctree-checkbox-46\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../neuron-runtime/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-47\" name=\"toctree-checkbox-47\" type=\"checkbox\">\n <label for=\"toctree-checkbox-47\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li 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href=\"../../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html\">\n Neuron Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../neuron-customops/index.html\">\n Neuron C++ Custom Operators\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-59\" name=\"toctree-checkbox-59\" type=\"checkbox\">\n <label for=\"toctree-checkbox-59\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../neuron-customops/api-reference-guide/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-60\" name=\"toctree-checkbox-60\" type=\"checkbox\">\n <label for=\"toctree-checkbox-60\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" 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class=\"reference internal\" href=\"../../release-notes/customcxxps/gpsimd-tools.html\">\n Neuron Custom C++ Tools Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../release-notes/customcxxps/gpsimd-customop-lib.html\">\n Neuron Custom C++ Library Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../tools/index.html\">\n Neuron Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-64\" name=\"toctree-checkbox-64\" type=\"checkbox\">\n <label for=\"toctree-checkbox-64\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../tools/neuron-sys-tools/index.html\">\n System Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-65\" name=\"toctree-checkbox-65\" type=\"checkbox\">\n <label for=\"toctree-checkbox-65\">\n 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href=\"../../tools/neuron-sys-tools/nccom-test.html\">\n NCCOM-TEST User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" name=\"toctree-checkbox-66\" type=\"checkbox\">\n <label for=\"toctree-checkbox-66\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/tutorials/tutorial-tensorboard-scalars-mnist.html\">\n Track Training Progress in TensorBoard using PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/tensorboard/getting-started-tensorboard-neuronx-plugin.html\">\n TensorBoard Plugin for Neuron (Trn1)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../release-notes/tools/tensorboard-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/tensorboard/getting-started-tensorboard-neuron-plugin.html\">\n TensorBoard Plugin for Neuron (Inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../tools/helper-tools/index.html\">\n Helper Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-67\" name=\"toctree-checkbox-67\" type=\"checkbox\">\n <label for=\"toctree-checkbox-67\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/helper-tools/tutorial-neuron-check-model.html\">\n Check Model\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/helper-tools/tutorial-neuron-gatherinfo.html\">\n GatherInfo\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../tools/neuronperf/index.html\">\n NeuronPerf (Beta)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-68\" name=\"toctree-checkbox-68\" type=\"checkbox\">\n <label for=\"toctree-checkbox-68\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/neuronperf/neuronperf_overview.html\">\n Overview\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/neuronperf/neuronperf_terminology.html\">\n Terminology\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/neuronperf/neuronperf_evaluate_guide.html\">\n Evaluate Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/neuronperf/neuronperf_compile_guide.html\">\n Compile Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/neuronperf/neuronperf_model_index_guide.html\">\n Model Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/neuronperf/neuronperf_faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../tools/neuronperf/neuronperf_troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../tools/neuronperf/rn.html\">\n What’s New\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-69\" name=\"toctree-checkbox-69\" type=\"checkbox\">\n <label for=\"toctree-checkbox-69\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../release-notes/tools/neuronperf.html\">\n NeuronPerf 1.x Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../calculator/neuron-calculator.html\">\n Neuron Calculator\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../setup/index.html\">\n Setup Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-70\" name=\"toctree-checkbox-70\" type=\"checkbox\">\n <label for=\"toctree-checkbox-70\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" name=\"toctree-checkbox-71\" type=\"checkbox\">\n <label for=\"toctree-checkbox-71\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" 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class=\"reference internal\" href=\"../../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label for=\"toctree-checkbox-74\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../containers/tutorials/training/tutorial-training.html\">\n Run training in Pytorch Neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../containers/tutorials/training/k8s_mlp_train_demo.html\">\n Deploy a simple mlp training script as a Kubernetes job\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-75\" name=\"toctree-checkbox-75\" type=\"checkbox\">\n 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FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-79\" name=\"toctree-checkbox-79\" type=\"checkbox\">\n <label for=\"toctree-checkbox-79\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../containers/tutorials/training/index.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-80\" name=\"toctree-checkbox-80\" type=\"checkbox\">\n <label for=\"toctree-checkbox-80\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../devflows/ec2-flows.html\">\n AWS EC2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-82\" name=\"toctree-checkbox-82\" type=\"checkbox\">\n <label for=\"toctree-checkbox-82\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../devflows/inference/ec2-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-83\" name=\"toctree-checkbox-83\" type=\"checkbox\">\n <label for=\"toctree-checkbox-83\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../devflows/inference/ec2-then-ec2-devflow.html\">\n Compile with Framework API and Deploy on EC2 Inf1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../devflows/inference/ec2-then-ec2-devflow-inf2.html\">\n Compile with Framework API and Deploy on EC2 Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../devflows/training/ec2-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-84\" name=\"toctree-checkbox-84\" type=\"checkbox\">\n <label for=\"toctree-checkbox-84\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../devflows/training/ec2/ec2-training.html\">\n Train your model on EC2\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../devflows/eks-flows.html\">\n Amazon EKS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-85\" name=\"toctree-checkbox-85\" type=\"checkbox\">\n <label for=\"toctree-checkbox-85\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a 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Sagemaker Neo and Deploy on Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../devflows/training/sagemaker-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-91\" name=\"toctree-checkbox-91\" type=\"checkbox\">\n <label for=\"toctree-checkbox-91\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../devflows/training/sm-devflow/sm-training-devflow.html\">\n Train your model on SageMaker\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sagemaker-samples\">\n AWS Neuron Sagemaker Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../devflows/parallelcluster-flows.html\">\n Parallel Cluster\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-92\" name=\"toctree-checkbox-92\" type=\"checkbox\">\n <label for=\"toctree-checkbox-92\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../devflows/inference/parallelcluster-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../devflows/training/parallelcluster-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-93\" name=\"toctree-checkbox-93\" type=\"checkbox\">\n <label for=\"toctree-checkbox-93\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../devflows/training/parallelcluster/parallelcluster-training.html\">\n Train your model on ParallelCluster\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../devflows/aws-batch-flows.html\">\n AWS Batch Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-94\" name=\"toctree-checkbox-94\" type=\"checkbox\">\n <label for=\"toctree-checkbox-94\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../devflows/inference/aws-batch-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../devflows/training/aws-batch-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Learning Neuron\n </span>\n</p>\n<ul class=\"current nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../arch/index.html\">\n Architecture\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-95\" name=\"toctree-checkbox-95\" type=\"checkbox\">\n <label for=\"toctree-checkbox-95\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-hardware/inf1-arch.html\">\n AWS Inf1 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-hardware/trn1-arch.html\">\n AWS Trn1/Trn1n Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-hardware/inf2-arch.html\">\n AWS Inf2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-hardware/inferentia.html\">\n Inferentia Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-hardware/inferentia2.html\">\n Inferentia2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-hardware/trainium.html\">\n Trainium Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-hardware/neuroncores-arch.html\">\n AWS NeuronCore Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/model-architecture-fit.html\">\n Neuron Model Architecture Fit Guidelines\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/glossary.html\">\n Neuron Glossary\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../arch/neuron-features/index.html\">\n Features\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-96\" name=\"toctree-checkbox-96\" type=\"checkbox\">\n <label for=\"toctree-checkbox-96\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-features/data-types.html\">\n Data Types\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-features/rounding-modes.html\">\n Rounding Modes\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-features/neuroncore-batching.html\">\n Neuron Batching\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-features/neuroncore-pipeline.html\">\n NeuronCore Pipeline\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-features/collective-communication.html\">\n Collective Communication\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-features/control-flow.html\">\n Neuron Control Flow\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-features/custom-c%2B%2B-operators.html\">\n Neuron Custom C++ Operators\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../arch/neuron-features/dynamic-shapes.html\">\n Neuron Dynamic Shapes\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 current active has-children\">\n <a class=\"current reference internal\" href=\"#\">\n Application Notes\n </a>\n <input checked=\"\" class=\"toctree-checkbox\" id=\"toctree-checkbox-97\" name=\"toctree-checkbox-97\" type=\"checkbox\">\n <label for=\"toctree-checkbox-97\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../announcements/neuron2.x/neuron2-intro.html\">\n Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"neuron1x/introducing-libnrt.html\">\n Introducing Neuron Runtime 2.x (libnrt.so)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"perf/neuron-cc/performance-tuning.html\">\n Performance Tuning\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"perf/neuron-cc/parallel-ncgs.html\">\n Parallel Execution using NEURON_RT_NUM_CORES\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"torch-neuron/rcnn-app-note.html\">\n Running R-CNNs on Inf1\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"transformers-neuronx/generative-llm-inference-with-neuron.html\">\n Generative LLM inference with Neuron\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n About Neuron\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../release-notes/release.html\">\n Release Details\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../roadmap-readme.html\">\n Roadmap\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-98\" name=\"toctree-checkbox-98\" type=\"checkbox\">\n <label for=\"toctree-checkbox-98\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference external\" href=\"https://github.com/orgs/aws-neuron/projects/1/views/1\">\n Neuron Public Roadmap\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../support.html\">\n Support\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-99\" name=\"toctree-checkbox-99\" type=\"checkbox\">\n <label 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class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n<div class=\"section\" id=\"neuron-application-notes\">\n<span id=\"neuron-appnotes\"></span><span id=\"neuron-appnotes-index\"></span><h1>Neuron Application Notes<a class=\"headerlink\" href=\"#neuron-application-notes\" title=\"Permalink to this headline\">#</a></h1>\n<details class=\"sd-sphinx-override sd-dropdown sd-card sd-mb-3 sd-fade-in\">\n<summary class=\"sd-summary-title sd-card-header sphinx-design-class-title-med\">\nNeuron 2.x<div class=\"sd-summary-down docutils\">\n<svg version=\"1.1\" width=\"1.5em\" height=\"1.5em\" class=\"sd-octicon sd-octicon-chevron-down\" viewBox=\"0 0 24 24\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M5.22 8.72a.75.75 0 000 1.06l6.25 6.25a.75.75 0 001.06 0l6.25-6.25a.75.75 0 00-1.06-1.06L12 14.44 6.28 8.72a.75.75 0 00-1.06 0z\"></path></svg></div>\n<div class=\"sd-summary-up docutils\">\n<svg version=\"1.1\" width=\"1.5em\" height=\"1.5em\" class=\"sd-octicon sd-octicon-chevron-up\" viewBox=\"0 0 24 24\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M18.78 15.28a.75.75 0 000-1.06l-6.25-6.25a.75.75 0 00-1.06 0l-6.25 6.25a.75.75 0 101.06 1.06L12 9.56l5.72 5.72a.75.75 0 001.06 0z\"></path></svg></div>\n</summary><div class=\"sd-summary-content sd-card-body sphinx-design-class-body-small docutils\">\n<div class=\"toctree-wrapper compound\">\n<ul>\n<li class=\"toctree-l1\"><a class=\"reference internal\" href=\"../announcements/neuron2.x/neuron2-intro.html\">Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)</a></li>\n</ul>\n</div>\n</div>\n</details><details class=\"sd-sphinx-override sd-dropdown sd-card sd-mb-3 sd-fade-in\">\n<summary class=\"sd-summary-title sd-card-header sphinx-design-class-title-med\">\nNeuron Runtime library<div class=\"sd-summary-down docutils\">\n<svg version=\"1.1\" width=\"1.5em\" height=\"1.5em\" class=\"sd-octicon sd-octicon-chevron-down\" viewBox=\"0 0 24 24\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M5.22 8.72a.75.75 0 000 1.06l6.25 6.25a.75.75 0 001.06 0l6.25-6.25a.75.75 0 00-1.06-1.06L12 14.44 6.28 8.72a.75.75 0 00-1.06 0z\"></path></svg></div>\n<div class=\"sd-summary-up docutils\">\n<svg version=\"1.1\" width=\"1.5em\" height=\"1.5em\" class=\"sd-octicon sd-octicon-chevron-up\" viewBox=\"0 0 24 24\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M18.78 15.28a.75.75 0 000-1.06l-6.25-6.25a.75.75 0 00-1.06 0l-6.25 6.25a.75.75 0 101.06 1.06L12 9.56l5.72 5.72a.75.75 0 001.06 0z\"></path></svg></div>\n</summary><div class=\"sd-summary-content sd-card-body sphinx-design-class-body-small docutils\">\n<div class=\"toctree-wrapper compound\">\n<ul>\n<li class=\"toctree-l1\"><a class=\"reference internal\" href=\"neuron1x/introducing-libnrt.html\">Introducing Neuron Runtime 2.x (libnrt.so)</a></li>\n</ul>\n</div>\n</div>\n</details><details class=\"sd-sphinx-override sd-dropdown sd-card sd-mb-3 sd-fade-in\">\n<summary class=\"sd-summary-title sd-card-header sphinx-design-class-title-med\">\nPerformance (Inf1)<div class=\"sd-summary-down docutils\">\n<svg version=\"1.1\" width=\"1.5em\" height=\"1.5em\" class=\"sd-octicon sd-octicon-chevron-down\" viewBox=\"0 0 24 24\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M5.22 8.72a.75.75 0 000 1.06l6.25 6.25a.75.75 0 001.06 0l6.25-6.25a.75.75 0 00-1.06-1.06L12 14.44 6.28 8.72a.75.75 0 00-1.06 0z\"></path></svg></div>\n<div class=\"sd-summary-up docutils\">\n<svg version=\"1.1\" width=\"1.5em\" height=\"1.5em\" class=\"sd-octicon sd-octicon-chevron-up\" viewBox=\"0 0 24 24\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M18.78 15.28a.75.75 0 000-1.06l-6.25-6.25a.75.75 0 00-1.06 0l-6.25 6.25a.75.75 0 101.06 1.06L12 9.56l5.72 5.72a.75.75 0 001.06 0z\"></path></svg></div>\n</summary><div class=\"sd-summary-content sd-card-body sphinx-design-class-body-small docutils\">\n<div class=\"toctree-wrapper compound\">\n<ul>\n<li class=\"toctree-l1\"><a class=\"reference internal\" href=\"perf/neuron-cc/performance-tuning.html\">Performance Tuning</a></li>\n<li class=\"toctree-l1\"><a class=\"reference internal\" href=\"perf/neuron-cc/parallel-ncgs.html\">Parallel Execution using NEURON_RT_NUM_CORES</a></li>\n</ul>\n</div>\n</div>\n</details><details class=\"sd-sphinx-override sd-dropdown sd-card sd-mb-3 sd-fade-in\">\n<summary class=\"sd-summary-title sd-card-header sphinx-design-class-title-med\">\nPyTorch Neuron (torch-neuron)<div class=\"sd-summary-down docutils\">\n<svg version=\"1.1\" width=\"1.5em\" height=\"1.5em\" class=\"sd-octicon sd-octicon-chevron-down\" viewBox=\"0 0 24 24\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M5.22 8.72a.75.75 0 000 1.06l6.25 6.25a.75.75 0 001.06 0l6.25-6.25a.75.75 0 00-1.06-1.06L12 14.44 6.28 8.72a.75.75 0 00-1.06 0z\"></path></svg></div>\n<div class=\"sd-summary-up docutils\">\n<svg version=\"1.1\" width=\"1.5em\" height=\"1.5em\" class=\"sd-octicon sd-octicon-chevron-up\" viewBox=\"0 0 24 24\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M18.78 15.28a.75.75 0 000-1.06l-6.25-6.25a.75.75 0 00-1.06 0l-6.25 6.25a.75.75 0 101.06 1.06L12 9.56l5.72 5.72a.75.75 0 001.06 0z\"></path></svg></div>\n</summary><div class=\"sd-summary-content sd-card-body sphinx-design-class-body-small docutils\">\n<div class=\"toctree-wrapper compound\">\n<ul>\n<li class=\"toctree-l1\"><a class=\"reference internal\" href=\"torch-neuron/rcnn-app-note.html\">Running R-CNNs on Inf1</a></li>\n</ul>\n</div>\n</div>\n</details><details class=\"sd-sphinx-override sd-dropdown sd-card sd-mb-3 sd-fade-in\">\n<summary class=\"sd-summary-title sd-card-header sphinx-design-class-title-med\">\nTransformers Neuron (transformers-neuronx)<div class=\"sd-summary-down docutils\">\n<svg version=\"1.1\" width=\"1.5em\" height=\"1.5em\" class=\"sd-octicon sd-octicon-chevron-down\" viewBox=\"0 0 24 24\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M5.22 8.72a.75.75 0 000 1.06l6.25 6.25a.75.75 0 001.06 0l6.25-6.25a.75.75 0 00-1.06-1.06L12 14.44 6.28 8.72a.75.75 0 00-1.06 0z\"></path></svg></div>\n<div class=\"sd-summary-up docutils\">\n<svg version=\"1.1\" width=\"1.5em\" height=\"1.5em\" class=\"sd-octicon sd-octicon-chevron-up\" viewBox=\"0 0 24 24\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M18.78 15.28a.75.75 0 000-1.06l-6.25-6.25a.75.75 0 00-1.06 0l-6.25 6.25a.75.75 0 101.06 1.06L12 9.56l5.72 5.72a.75.75 0 001.06 0z\"></path></svg></div>\n</summary><div class=\"sd-summary-content sd-card-body sphinx-design-class-body-small docutils\">\n<div class=\"toctree-wrapper compound\">\n<ul>\n<li class=\"toctree-l1\"><a class=\"reference internal\" href=\"transformers-neuronx/generative-llm-inference-with-neuron.html\">Generative LLM inference with Neuron</a></li>\n</ul>\n</div>\n</div>\n</details><p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n</div>\n\n<div class=\"section\">\n \n</div>\n\n </div>\n \n </main>\n <footer class=\"footer-article noprint\">\n \n <!-- Previous / next buttons -->\n<div class=\"prev-next-area\">\n <a class=\"left-prev\" id=\"prev-link\" href=\"../arch/neuron-features/dynamic-shapes.html\" title=\"previous page\">\n <i class=\"fas fa-angle-left\"></i>\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">previous</p>\n <p class=\"prev-next-title\">Neuron Dynamic Shapes</p>\n </div>\n </a>\n <a class=\"right-next\" id=\"next-link\" href=\"../announcements/neuron2.x/neuron2-intro.html\" title=\"next page\">\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">next</p>\n <p class=\"prev-next-title\">Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)</p>\n </div>\n <i class=\"fas fa-angle-right\"></i>\n </a>\n</div>\n </footer>\n </div>\n </div>\n <div class=\"footer-content row\">\n <footer class=\"col footer\"><p>\n \n By AWS<br>\n \n © Copyright 2023, Amazon.com.<br>\n</p>\n </footer>\n </div>\n \n</div>\n\n\n </div>\n </div>\n \n <!-- Scripts loaded after <body> so the DOM is not blocked -->\n <script src=\"../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf\"></script>\n\n\n \n</body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:22.240Z"}}},{"rowIdx":282,"cells":{"title":{"kind":"string","value":"Performance Tuning — AWS Neuron Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/appnotes/perf/neuron-cc/performance-tuning.html"},"markdown":{"kind":"string","value":"# Performance Tuning — AWS Neuron Documentation\n\n_This document is relevant for_: `Inf1`\n\n## Performance Tuning[#](#performance-tuning \"Permalink to this headline\")\n\nThis guide is intended to provide the reader with an in-depth understanding on how to optimize neural network performance on Inferentia for both throughput and latency. For simplicity, the guide uses TensorFlow and ResNet-50 model as a teaching example to learn how choosing between different compile-time optimizations (e.g. Batching and NeuronCore Pipeline), as well as model-serving optimizations (e.g. multi-threading and dynamic-batching) improves inference performance.\n\nThe following guides are considered prerequisites for this tutorial:\n\n- [Running ResNet50 on Inferentia](../../../../src/examples/tensorflow/tensorflow_resnet50/resnet50.html)\n \n- tensorflow-serving-neurocore-group\n \n- [Neuron Batching](../../../arch/neuron-features/neuroncore-batching.html#neuron-batching)\n \n- [NeuronCore Pipeline](../../../arch/neuron-features/neuroncore-pipeline.html#neuroncore-pipeline)\n \n\n## Batching and pipelining (technical background)[#](#batching-and-pipelining-technical-background \"Permalink to this headline\")\n\nNeuron provides developers with various performance optimization features.\n\nTwo of the most widely used features are batching and pipelining. Both techniques aim to keep the data close to the compute engines, but achieve this data locality in different ways. In batching it is achieved by loading the data into an on-chip cache and reusing it multiple times for multiple different model-inputs, while in pipelining this is achieved by caching all model parameters into the on-chip cache across multiple NeuronCores and streaming the calculation across them.\n\nAs a general rule of thumb, batching is preferred for applications that aim to optimize throughput and cost at the expense of latency, while pipelining is preferred for applications with high-throughput requirement under a strict latency budget.\n\n## Compiling for batching optimization[#](#compiling-for-batching-optimization \"Permalink to this headline\")\n\nTo enable the batching optimization, we first need to compile the model for a target batch-size. This is done by specifying the batch size in the input tensor’s batch dimension during compilation. Users are encouraged to evaluate multiple batch sizes in order to determine the optimal latency/throughput deployment-point, which is application dependent.\n\nFor example, the code snippet below enables batching on a ResNet50 model, with a batch-size of 5:\n\n```\nimport numpy as np\nimport tensorflow.neuron as tfn\n\n# To change the batch size, change the first dimension in example_input\nbatch_size = 5\nexample_input = np.zeros([batch_size,224,224,3], dtype='float16')\n\ntfn.saved_model.compile(\"rn50_fp16\",\n \"rn50_fp16_compiled/1\",\n model_feed_dict={'input_1:0': example_input },\n dynamic_batch_size=True)\n\n```\n\nNote\n\nDepending on the neural network size, Neuron will have a maximum batch size that works optimally on Inferentia. If an unsupported batch size is used, an internal compiler error message will be displayed. A simple way to explore optimal batch size for your specific model is to increment the batch size from 1 upward, one at a time, and test application performance.\n\n## Compiling for pipeline optimization[#](#compiling-for-pipeline-optimization \"Permalink to this headline\")\n\nWith NeuronCore Pipeline mode, Neuron stores the model parameters onto the Inferentias’ local caches, and streams the inference requests across the available NeuronCores, as specified by the `--neuroncore-pipeline-cores` compiler argument. For example, to compile the model to fit pipeline size of four Inferentia devices (16 NeuronCores) avaliable in the inf1.6xlarge instance size:\n\n```\nimport numpy as np\nimport tensorflow.neuron as tfn\n\ncompiler_args = ['--neuroncore-pipeline-cores', '16']\nexample_input = np.zeros([1,224,224,3], dtype='float16')\ntfn.saved_model.compile(\"rn50_fp16\",\n \"rn50_fp16_compiled/1\",\n model_feed_dict={'input_1:0': example_input },\n compiler_args=compiler_args)\n\n```\n\nThe minimum number of NeuronCores needed to run a compiled model can be found using Neuron Check Model tool. Please see [Neuron Check Model](../../../../tools/helper-tools/tutorial-neuron-check-model.html#neuron-check-model).\n\n## Model-serving inference optimizations[#](#model-serving-inference-optimizations \"Permalink to this headline\")\n\nIn order to fully realize the maximum throughput of the compiled model (for either batching and pipelining), users need to launch multiple host CPU threads to feed inputs into the Neuron pipeline. The number of threads need to be larger than the specified maximum number of NeuronCores.\n\nAdditionally, dynamic batching can be used to process a larger client-side inference batch-size and the framework automatically breaks up the user-batch into smaller batch sizes to match the compiled batch-size. This technique increases the achievable throughput by hiding the framework-to-neuron overhead, and amortizing it over a larger batch size. To use dynamic batching, set the argument `--dynamic_batch_size=True` during compilation and send larger inference batch size (user inference batch size) that is equal to a multiple of the compiled batch size.\n\nBoth of methods can be applied together if that shows improvement in performance. However, multi-threading is always needed as a first step to achieve high throughput. You may need to experiment in order to find the right optimization settings for your application.\n\nBy default, the framework sets the number of outstanding inference requests to the total number of NeuronCores plus three. This can be changed by setting the NEURON\\_MAX\\_NUM\\_INFERS environment variable. For example, if the compiled model includes some CPU partitions (as when Neuron compiler decided some operations are more efficient to execute on CPU), the number of threads should be increased to account for the additional compute performed on the CPU. Note that the available instance host memory size should be taken into consideration to avoid out-of-memory errors. As above, you need to experiment in order to find the right optimization settings for your application.\n\nNote\n\nBy default the framework allocates NeuronCore Group size to match the size of the compiled model. The size of the model is the number of NeuronCores limit passed to compiler during compilation (`--neuroncore-pipeline-cores` option). For more information see tensorflow-serving-neurocore-group.\n\n## Other considerations[#](#other-considerations \"Permalink to this headline\")\n\n### Operator support[#](#operator-support \"Permalink to this headline\")\n\nThe Neuron Compiler maintains an evolving list of supported operators for each framework: [Neuron Supported operators](../../../../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html#neuron-supported-operators)\n\nAWS Neuron handles unsupported operators by partitioning the graph into subgraph, and executing them on different targets (e.g. NeuronCore partition, CPU partition). If the entire model can run on Inferentia (i.e. all operators are supported), then the model will be compiled into a single subgraph which will be executed by a NeuronCore Group."},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Performance Tuning — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../../../../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link href=\"../../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n\n \n <link rel=\"stylesheet\" href=\"../../../../_static/vendor/fontawesome/5.13.0/css/all.min.css\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" href=\"../../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2\">\n <link rel=\"preload\" as=\"font\" 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href=\"../../../../frameworks/torch/torch-neuronx/tutorials/inference/tutorial-torchserve-neuronx.html\">\n BERT TorchServe Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/tutorials/tutorial-libtorch.html\">\n LibTorch C++ Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input 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href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-26\" name=\"toctree-checkbox-26\" type=\"checkbox\">\n <label for=\"toctree-checkbox-26\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-28\" name=\"toctree-checkbox-28\" type=\"checkbox\">\n <label for=\"toctree-checkbox-28\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/api-tracing-python-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label for=\"toctree-checkbox-31\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-32\" name=\"toctree-checkbox-32\" type=\"checkbox\">\n <label for=\"toctree-checkbox-32\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-33\" name=\"toctree-checkbox-33\" type=\"checkbox\">\n <label for=\"toctree-checkbox-33\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/api-compilation-python-api.html\">\n Neuron Apache MXNet (Incubating) Compilation Python API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-34\" name=\"toctree-checkbox-34\" type=\"checkbox\">\n <label for=\"toctree-checkbox-34\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../mxnet-neuron/flex-eg.html\">\n Flexible Execution Group (FlexEG) in Neuron-MXNet\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/misc-mxnet-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-35\" name=\"toctree-checkbox-35\" type=\"checkbox\">\n <label for=\"toctree-checkbox-35\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" 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neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../../../libraries/nemo-megatron/index.html\">\n AWS Neuron Reference for NeMo Megatron\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n User Guide\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../neuron-runtime/index.html\">\n Neuron Runtime\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-46\" name=\"toctree-checkbox-46\" type=\"checkbox\">\n <label for=\"toctree-checkbox-46\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../neuron-runtime/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" 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internal\" href=\"../../../../release-notes/runtime/aws-neuronx-collectives/index.html\">\n Neuron Collectives Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../compiler/index.html\">\n Neuron Compiler\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-50\" name=\"toctree-checkbox-50\" type=\"checkbox\">\n <label for=\"toctree-checkbox-50\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../compiler/neuronx-cc.html\">\n Neuron Compiler for Trn1 & Inf2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-51\" name=\"toctree-checkbox-51\" type=\"checkbox\">\n <label for=\"toctree-checkbox-51\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" 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class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../neuron-customops/programming-guide/custom-c%2B%2B-operators-devguide.html\">\n Neuron Custom C++ Operators Developer Guide [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../neuron-customops/tutorials/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-62\" name=\"toctree-checkbox-62\" type=\"checkbox\">\n <label for=\"toctree-checkbox-62\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../neuron-customops/misc-customops.html\">\n Misc (Neuron Custom C++ Operators)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-63\" name=\"toctree-checkbox-63\" type=\"checkbox\">\n <label for=\"toctree-checkbox-63\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../release-notes/customcxxps/gpsimd-tools.html\">\n Neuron Custom C++ Tools Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../release-notes/customcxxps/gpsimd-customop-lib.html\">\n Neuron Custom C++ Library Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../tools/index.html\">\n Neuron Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-64\" name=\"toctree-checkbox-64\" type=\"checkbox\">\n <label for=\"toctree-checkbox-64\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../tools/neuron-sys-tools/index.html\">\n System Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-65\" name=\"toctree-checkbox-65\" type=\"checkbox\">\n <label for=\"toctree-checkbox-65\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuron-sys-tools/neuron-monitor-user-guide.html\">\n Neuron-Monitor User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuron-sys-tools/neuron-top-user-guide.html\">\n Neuron-Top User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuron-sys-tools/neuron-ls.html\">\n Neuron-LS User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuron-sys-tools/neuron-profile-user-guide.html\">\n Neuron Profile User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuron-sys-tools/neuron-sysfs-user-guide.html\">\n Neuron-Sysfs User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuron-sys-tools/nccom-test.html\">\n NCCOM-TEST User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" name=\"toctree-checkbox-66\" type=\"checkbox\">\n <label for=\"toctree-checkbox-66\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/tutorials/tutorial-tensorboard-scalars-mnist.html\">\n Track Training Progress in TensorBoard using PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/tensorboard/getting-started-tensorboard-neuronx-plugin.html\">\n TensorBoard Plugin for Neuron (Trn1)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../release-notes/tools/tensorboard-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/tensorboard/getting-started-tensorboard-neuron-plugin.html\">\n TensorBoard Plugin for Neuron (Inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../tools/helper-tools/index.html\">\n Helper Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-67\" name=\"toctree-checkbox-67\" type=\"checkbox\">\n <label for=\"toctree-checkbox-67\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/helper-tools/tutorial-neuron-check-model.html\">\n Check Model\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/helper-tools/tutorial-neuron-gatherinfo.html\">\n GatherInfo\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/index.html\">\n NeuronPerf (Beta)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-68\" name=\"toctree-checkbox-68\" type=\"checkbox\">\n <label for=\"toctree-checkbox-68\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_overview.html\">\n Overview\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_terminology.html\">\n Terminology\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_evaluate_guide.html\">\n Evaluate Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_compile_guide.html\">\n Compile Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_model_index_guide.html\">\n Model Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/rn.html\">\n What’s New\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-69\" name=\"toctree-checkbox-69\" type=\"checkbox\">\n <label for=\"toctree-checkbox-69\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/tools/neuronperf.html\">\n NeuronPerf 1.x Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../../calculator/neuron-calculator.html\">\n Neuron Calculator\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../setup/index.html\">\n Setup Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-70\" name=\"toctree-checkbox-70\" type=\"checkbox\">\n <label for=\"toctree-checkbox-70\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" name=\"toctree-checkbox-71\" type=\"checkbox\">\n <label for=\"toctree-checkbox-71\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-72\" name=\"toctree-checkbox-72\" type=\"checkbox\">\n <label for=\"toctree-checkbox-72\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-73\" name=\"toctree-checkbox-73\" type=\"checkbox\">\n <label for=\"toctree-checkbox-73\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/inference/tutorial-infer.html\">\n Run inference in pytorch neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/inference/k8s_rn50_demo.html\">\n Deploy a TensorFlow Resnet50 model as a Kubernetes service\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label for=\"toctree-checkbox-74\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/training/tutorial-training.html\">\n Run training in Pytorch Neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/training/k8s_mlp_train_demo.html\">\n Deploy a simple mlp training script as a Kubernetes job\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-75\" name=\"toctree-checkbox-75\" type=\"checkbox\">\n <label for=\"toctree-checkbox-75\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-79\" name=\"toctree-checkbox-79\" type=\"checkbox\">\n <label for=\"toctree-checkbox-79\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/training/index.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-80\" name=\"toctree-checkbox-80\" type=\"checkbox\">\n <label for=\"toctree-checkbox-80\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/ec2-flows.html\">\n AWS EC2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-82\" name=\"toctree-checkbox-82\" type=\"checkbox\">\n <label for=\"toctree-checkbox-82\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/ec2-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-83\" name=\"toctree-checkbox-83\" type=\"checkbox\">\n <label for=\"toctree-checkbox-83\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/ec2-then-ec2-devflow.html\">\n Compile with Framework API and Deploy on EC2 Inf1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/ec2-then-ec2-devflow-inf2.html\">\n Compile with Framework API and Deploy on EC2 Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/training/ec2-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-84\" name=\"toctree-checkbox-84\" type=\"checkbox\">\n <label for=\"toctree-checkbox-84\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/training/ec2/ec2-training.html\">\n Train your model on EC2\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/eks-flows.html\">\n Amazon EKS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-85\" name=\"toctree-checkbox-85\" type=\"checkbox\">\n <label for=\"toctree-checkbox-85\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/eks-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-86\" name=\"toctree-checkbox-86\" type=\"checkbox\">\n <label for=\"toctree-checkbox-86\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../devflows/training/eks-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/ecs-flows.html\">\n AWS ECS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-87\" name=\"toctree-checkbox-87\" type=\"checkbox\">\n <label for=\"toctree-checkbox-87\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/ecs-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-88\" name=\"toctree-checkbox-88\" type=\"checkbox\">\n <label for=\"toctree-checkbox-88\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../devflows/training/ecs-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/sagemaker-flows.html\">\n Sagemaker\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-89\" name=\"toctree-checkbox-89\" type=\"checkbox\">\n <label 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href=\"../../../devflows/inference/neo-then-hosting-devflow.html\">\n Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/training/sagemaker-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-91\" name=\"toctree-checkbox-91\" type=\"checkbox\">\n <label for=\"toctree-checkbox-91\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/training/sm-devflow/sm-training-devflow.html\">\n Train your model on SageMaker\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sagemaker-samples\">\n AWS Neuron Sagemaker Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/parallelcluster-flows.html\">\n Parallel Cluster\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-92\" name=\"toctree-checkbox-92\" type=\"checkbox\">\n <label for=\"toctree-checkbox-92\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/parallelcluster-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/training/parallelcluster-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-93\" name=\"toctree-checkbox-93\" type=\"checkbox\">\n <label for=\"toctree-checkbox-93\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/training/parallelcluster/parallelcluster-training.html\">\n Train your model on ParallelCluster\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/aws-batch-flows.html\">\n AWS Batch Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-94\" name=\"toctree-checkbox-94\" type=\"checkbox\">\n <label for=\"toctree-checkbox-94\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/aws-batch-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../devflows/training/aws-batch-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Learning Neuron\n </span>\n</p>\n<ul class=\"current nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" 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href=\"../../../arch/neuron-features/collective-communication.html\">\n Collective Communication\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../arch/neuron-features/control-flow.html\">\n Neuron Control Flow\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../arch/neuron-features/custom-c%2B%2B-operators.html\">\n Neuron Custom C++ Operators\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../arch/neuron-features/dynamic-shapes.html\">\n Neuron Dynamic Shapes\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 current active has-children\">\n <a class=\"reference internal\" href=\"../../index.html\">\n Application Notes\n </a>\n <input checked=\"\" class=\"toctree-checkbox\" id=\"toctree-checkbox-97\" name=\"toctree-checkbox-97\" type=\"checkbox\">\n <label for=\"toctree-checkbox-97\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul class=\"current\">\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../announcements/neuron2.x/neuron2-intro.html\">\n Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../neuron1x/introducing-libnrt.html\">\n Introducing Neuron Runtime 2.x (libnrt.so)\n </a>\n </li>\n <li class=\"toctree-l2 current active\">\n <a class=\"current reference internal\" href=\"#\">\n Performance Tuning\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"parallel-ncgs.html\">\n Parallel Execution using NEURON_RT_NUM_CORES\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../torch-neuron/rcnn-app-note.html\">\n Running R-CNNs on Inf1\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../transformers-neuronx/generative-llm-inference-with-neuron.html\">\n 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noprint\">\n <div class=\"tocsection onthispage pt-5 pb-3\">\n <i class=\"fas fa-list\"></i> Contents\n </div>\n <nav id=\"bd-toc-nav\" aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#batching-and-pipelining-technical-background\">\n Batching and pipelining (technical background)\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiling-for-batching-optimization\">\n Compiling for batching optimization\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiling-for-pipeline-optimization\">\n Compiling for pipeline optimization\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#model-serving-inference-optimizations\">\n Model-serving inference optimizations\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#other-considerations\">\n Other considerations\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#mixed-precision\">\n Mixed Precision\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#operator-support\">\n Operator support\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#debug\">\n Debug\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#resnet-50-optimization-example\">\n ResNet-50 optimization example\n </a>\n </li>\n</ul>\n\n </nav>\n</div>\n </div>\n <div class=\"article row\">\n <div class=\"col pl-md-3 pl-lg-5 content-container\">\n <!-- Table of contents that is only displayed when printing the page -->\n <div id=\"jb-print-docs-body\" class=\"onlyprint\">\n <h1>Performance Tuning</h1>\n <!-- Table of contents -->\n <div id=\"print-main-content\">\n <div id=\"jb-print-toc\">\n \n <div>\n <h2> Contents </h2>\n </div>\n <nav aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#batching-and-pipelining-technical-background\">\n Batching and pipelining (technical background)\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiling-for-batching-optimization\">\n Compiling for batching optimization\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiling-for-pipeline-optimization\">\n Compiling for pipeline optimization\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#model-serving-inference-optimizations\">\n Model-serving inference optimizations\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#other-considerations\">\n Other considerations\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#mixed-precision\">\n Mixed Precision\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#operator-support\">\n Operator support\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#debug\">\n Debug\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#resnet-50-optimization-example\">\n ResNet-50 optimization example\n </a>\n </li>\n</ul>\n\n </nav>\n </div>\n </div>\n </div>\n <main id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code></p>\n<div class=\"section\" id=\"performance-tuning\">\n<span id=\"appnote-performance-tuning\"></span><h1>Performance Tuning<a class=\"headerlink\" href=\"#performance-tuning\" title=\"Permalink to this headline\">#</a></h1>\n<div class=\"admonition important\">\n<p class=\"admonition-title\">Important</p>\n<p>NeuronCore Groups (NCG) is deprecated, please see <a class=\"reference internal\" href=\"../../../announcements/neuron1.x/announcements.html#eol-ncg\"><span class=\"std std-ref\">10/27/2021 - End of support for NeuronCore Groups (NCG)</span></a> and <a class=\"reference internal\" href=\"../../neuron1x/introducing-libnrt.html#neuron-migrating-apps-neuron-to-libnrt\"><span class=\"std std-ref\">Migrate your application to Neuron Runtime 2.x (libnrt.so)</span></a> for more details.</p>\n</div>\n<p>This guide is intended to provide the reader with an in-depth\nunderstanding on how to optimize neural network performance on\nInferentia for both throughput and latency. For simplicity, the guide\nuses TensorFlow and ResNet-50 model as a teaching example to learn how\nchoosing between different compile-time optimizations (e.g. Batching and\nNeuronCore Pipeline), as well as model-serving optimizations (e.g.\nmulti-threading and dynamic-batching) improves inference performance.</p>\n<p>The following guides are considered prerequisites for this tutorial:</p>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../../../../src/examples/tensorflow/tensorflow_resnet50/resnet50.html\"><span class=\"std std-ref\">Running ResNet50 on Inferentia</span></a></p></li>\n<li><p><span class=\"xref std std-ref\">tensorflow-serving-neurocore-group</span></p></li>\n<li><p><a class=\"reference internal\" href=\"../../../arch/neuron-features/neuroncore-batching.html#neuron-batching\"><span class=\"std std-ref\">Neuron Batching</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"../../../arch/neuron-features/neuroncore-pipeline.html#neuroncore-pipeline\"><span class=\"std std-ref\">NeuronCore Pipeline</span></a></p></li>\n</ul>\n<div class=\"section\" id=\"batching-and-pipelining-technical-background\">\n<h2>Batching and pipelining (technical background)<a class=\"headerlink\" href=\"#batching-and-pipelining-technical-background\" title=\"Permalink to this headline\">#</a></h2>\n<p>Neuron provides developers with various performance optimization features.</p>\n<p>Two of the most widely used features are batching and pipelining. Both\ntechniques aim to keep the data close to the compute engines, but achieve\nthis data locality in different ways. In batching it is achieved by loading\nthe data into an on-chip cache and reusing it multiple times for multiple\ndifferent model-inputs, while in pipelining this is achieved by caching all\nmodel parameters into the on-chip cache across multiple NeuronCores and\nstreaming the calculation across them.</p>\n<p>As a general rule of thumb, batching is preferred for applications that\naim to optimize throughput and cost at the expense of latency, while\npipelining is preferred for applications with high-throughput\nrequirement under a strict latency budget.</p>\n</div>\n<div class=\"section\" id=\"compiling-for-batching-optimization\">\n<h2>Compiling for batching optimization<a class=\"headerlink\" href=\"#compiling-for-batching-optimization\" title=\"Permalink to this headline\">#</a></h2>\n<p>To enable the batching optimization, we first need to compile the model\nfor a target batch-size. This is done by specifying the batch size in\nthe input tensor’s batch dimension during compilation. Users are\nencouraged to evaluate multiple batch sizes in order to determine the\noptimal latency/throughput deployment-point, which is application\ndependent.</p>\n<p>For example, the code snippet below enables batching on a ResNet50\nmodel, with a batch-size of 5:</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"kn\">import</span> <span class=\"nn\">numpy</span> <span class=\"k\">as</span> <span class=\"nn\">np</span>\n<span class=\"kn\">import</span> <span class=\"nn\">tensorflow.neuron</span> <span class=\"k\">as</span> <span class=\"nn\">tfn</span>\n\n<span class=\"c1\"># To change the batch size, change the first dimension in example_input</span>\n<span class=\"n\">batch_size</span> <span class=\"o\">=</span> <span class=\"mi\">5</span>\n<span class=\"n\">example_input</span> <span class=\"o\">=</span> <span class=\"n\">np</span><span class=\"o\">.</span><span class=\"n\">zeros</span><span class=\"p\">([</span><span class=\"n\">batch_size</span><span class=\"p\">,</span><span class=\"mi\">224</span><span class=\"p\">,</span><span class=\"mi\">224</span><span class=\"p\">,</span><span class=\"mi\">3</span><span class=\"p\">],</span> <span class=\"n\">dtype</span><span class=\"o\">=</span><span class=\"s1\">'float16'</span><span class=\"p\">)</span>\n\n<span class=\"n\">tfn</span><span class=\"o\">.</span><span class=\"n\">saved_model</span><span class=\"o\">.</span><span class=\"n\">compile</span><span class=\"p\">(</span><span class=\"s2\">\"rn50_fp16\"</span><span class=\"p\">,</span>\n <span class=\"s2\">\"rn50_fp16_compiled/1\"</span><span class=\"p\">,</span>\n <span class=\"n\">model_feed_dict</span><span class=\"o\">=</span><span class=\"p\">{</span><span class=\"s1\">'input_1:0'</span><span class=\"p\">:</span> <span class=\"n\">example_input</span> <span class=\"p\">},</span>\n <span class=\"n\">dynamic_batch_size</span><span class=\"o\">=</span><span class=\"kc\">True</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p>Depending on the neural network size, Neuron will have a maximum\nbatch size that works optimally on Inferentia. If\nan unsupported batch size is used, an internal compiler error message\nwill be displayed.\nA simple way to explore optimal batch size for your specific model is to\nincrement the batch size from 1 upward, one at a time, and test\napplication performance.</p>\n</div>\n</div>\n<div class=\"section\" id=\"compiling-for-pipeline-optimization\">\n<h2>Compiling for pipeline optimization<a class=\"headerlink\" href=\"#compiling-for-pipeline-optimization\" title=\"Permalink to this headline\">#</a></h2>\n<p>With NeuronCore Pipeline mode, Neuron stores the model parameters onto\nthe Inferentias’ local caches, and streams the inference requests across\nthe available NeuronCores, as specified by the\n<code class=\"docutils literal notranslate\"><span class=\"pre\">--neuroncore-pipeline-cores</span></code> compiler argument. For example, to\ncompile the model to fit pipeline size of four Inferentia devices (16\nNeuronCores) avaliable in the inf1.6xlarge instance size:</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"kn\">import</span> <span class=\"nn\">numpy</span> <span class=\"k\">as</span> <span class=\"nn\">np</span>\n<span class=\"kn\">import</span> <span class=\"nn\">tensorflow.neuron</span> <span class=\"k\">as</span> <span class=\"nn\">tfn</span>\n\n<span class=\"n\">compiler_args</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"s1\">'--neuroncore-pipeline-cores'</span><span class=\"p\">,</span> <span class=\"s1\">'16'</span><span class=\"p\">]</span>\n<span class=\"n\">example_input</span> <span class=\"o\">=</span> <span class=\"n\">np</span><span class=\"o\">.</span><span class=\"n\">zeros</span><span class=\"p\">([</span><span class=\"mi\">1</span><span class=\"p\">,</span><span class=\"mi\">224</span><span class=\"p\">,</span><span class=\"mi\">224</span><span class=\"p\">,</span><span class=\"mi\">3</span><span class=\"p\">],</span> <span class=\"n\">dtype</span><span class=\"o\">=</span><span class=\"s1\">'float16'</span><span class=\"p\">)</span>\n<span class=\"n\">tfn</span><span class=\"o\">.</span><span class=\"n\">saved_model</span><span class=\"o\">.</span><span class=\"n\">compile</span><span class=\"p\">(</span><span class=\"s2\">\"rn50_fp16\"</span><span class=\"p\">,</span>\n <span class=\"s2\">\"rn50_fp16_compiled/1\"</span><span class=\"p\">,</span>\n <span class=\"n\">model_feed_dict</span><span class=\"o\">=</span><span class=\"p\">{</span><span class=\"s1\">'input_1:0'</span><span class=\"p\">:</span> <span class=\"n\">example_input</span> <span class=\"p\">},</span>\n <span class=\"n\">compiler_args</span><span class=\"o\">=</span><span class=\"n\">compiler_args</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<p>The minimum number of NeuronCores needed to run a compiled model can be\nfound using Neuron Check Model tool. Please see <a class=\"reference internal\" href=\"../../../../tools/helper-tools/tutorial-neuron-check-model.html#neuron-check-model\"><span class=\"std std-ref\">Neuron Check Model</span></a>.</p>\n</div>\n<div class=\"section\" id=\"model-serving-inference-optimizations\">\n<h2>Model-serving inference optimizations<a class=\"headerlink\" href=\"#model-serving-inference-optimizations\" title=\"Permalink to this headline\">#</a></h2>\n<p>In order to fully realize the maximum throughput of the compiled model\n(for either batching and pipelining), users need to launch multiple host\nCPU threads to feed inputs into the Neuron pipeline. The number of\nthreads need to be larger than the specified maximum number of\nNeuronCores.</p>\n<p>Additionally, dynamic batching can be used to process a larger\nclient-side inference batch-size and the framework automatically breaks\nup the user-batch into smaller batch sizes to match the compiled\nbatch-size. This technique increases the achievable throughput by hiding\nthe framework-to-neuron overhead, and amortizing it over a larger batch\nsize. To use dynamic batching, set the argument\n<code class=\"docutils literal notranslate\"><span class=\"pre\">--dynamic_batch_size=True</span></code> during compilation and send larger\ninference batch size (user inference batch size) that is equal to a\nmultiple of the compiled batch size.</p>\n<p>Both of methods can be applied together if that shows improvement in\nperformance. However, multi-threading is always needed as a first step\nto achieve high throughput. You may need to experiment in order to find\nthe right optimization settings for your application.</p>\n<p>By default, the framework sets the number of outstanding inference\nrequests to the total number of NeuronCores plus three. This can be\nchanged by setting the NEURON_MAX_NUM_INFERS environment variable. For\nexample, if the compiled model includes some CPU partitions (as when\nNeuron compiler decided some operations are more efficient to execute on\nCPU), the number of threads should be increased to account for the\nadditional compute performed on the CPU. Note that the available\ninstance host memory size should be taken into consideration to avoid\nout-of-memory errors. As above, you need to experiment in order to find\nthe right optimization settings for your application.</p>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p>By default the framework allocates NeuronCore Group size to\nmatch the size of the compiled model. The size of the model is the\nnumber of NeuronCores limit passed to compiler during compilation\n(<code class=\"docutils literal notranslate\"><span class=\"pre\">--neuroncore-pipeline-cores</span></code> option). For more information see\n<span class=\"xref std std-ref\">tensorflow-serving-neurocore-group</span>.</p>\n</div>\n</div>\n<div class=\"section\" id=\"other-considerations\">\n<h2>Other considerations<a class=\"headerlink\" href=\"#other-considerations\" title=\"Permalink to this headline\">#</a></h2>\n<div class=\"section\" id=\"mixed-precision\">\n<h3>Mixed Precision<a class=\"headerlink\" href=\"#mixed-precision\" title=\"Permalink to this headline\">#</a></h3>\n<p>You can find more defails about performance and accuracy trade offs\nin <a class=\"reference internal\" href=\"../../neuron-cc/mixed-precision.html#neuron-cc-training-mixed-precision\"><span class=\"std std-ref\">Mixed precision and performance-accuracy tuning (neuron-cc)</span></a>.</p>\n</div>\n<div class=\"section\" id=\"operator-support\">\n<h3>Operator support<a class=\"headerlink\" href=\"#operator-support\" title=\"Permalink to this headline\">#</a></h3>\n<p>The Neuron Compiler maintains an evolving list of supported operators\nfor each framework: <a class=\"reference internal\" href=\"../../../../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html#neuron-supported-operators\"><span class=\"std std-ref\">Neuron Supported operators</span></a></p>\n<p>AWS Neuron handles unsupported operators by partitioning the graph into\nsubgraph, and executing them on different targets (e.g. NeuronCore\npartition, CPU partition). If the entire model can run on Inferentia\n(i.e. all operators are supported), then the model will be compiled into\na single subgraph which will be executed by a NeuronCore Group.</p>\n</div>\n<div class=\"section\" id=\"debug\">\n<h3>Debug<a class=\"headerlink\" href=\"#debug\" title=\"Permalink to this headline\">#</a></h3>\n<p>You can examine the post-compiled model to view the compilation results\nusing the Neuron plugin for TensorBoard.\nSee <a class=\"reference internal\" href=\"../../../../tools/tensorboard/getting-started-tensorboard-neuron-plugin.html#tensorboard-plugin-visualize-graph\"><span class=\"std std-ref\">Visualize graphs executed on Neuron</span></a>.</p>\n</div>\n</div>\n<div class=\"section\" id=\"resnet-50-optimization-example\">\n<h2>ResNet-50 optimization example<a class=\"headerlink\" href=\"#resnet-50-optimization-example\" title=\"Permalink to this headline\">#</a></h2>\n<p>For an example demonstrating the concepts described here, see\n<a class=\"reference internal\" href=\"../../../../src/examples/tensorflow/keras_resnet50/keras_resnet50.html\"><span class=\"std std-ref\">Tensorflow ResNet 50 Optimization Tutorial</span></a></p>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code></p>\n</div>\n</div>\n\n<div class=\"section\">\n \n</div>\n\n </div>\n \n </main>\n <footer class=\"footer-article noprint\">\n \n <!-- Previous / next buttons -->\n<div class=\"prev-next-area\">\n <a class=\"left-prev\" id=\"prev-link\" href=\"../../neuron1x/introducing-libnrt.html\" title=\"previous page\">\n <i class=\"fas fa-angle-left\"></i>\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">previous</p>\n <p class=\"prev-next-title\">Introducing Neuron Runtime 2.x (libnrt.so)</p>\n </div>\n </a>\n <a class=\"right-next\" id=\"next-link\" href=\"parallel-ncgs.html\" title=\"next page\">\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">next</p>\n <p class=\"prev-next-title\">Parallel Execution using NEURON_RT_NUM_CORES</p>\n </div>\n <i class=\"fas fa-angle-right\"></i>\n </a>\n</div>\n </footer>\n </div>\n </div>\n <div class=\"footer-content row\">\n <footer class=\"col footer\"><p>\n \n By AWS<br>\n \n © Copyright 2023, Amazon.com.<br>\n</p>\n </footer>\n </div>\n \n</div>\n\n\n </div>\n </div>\n \n <!-- Scripts loaded after <body> so the DOM is not blocked -->\n <script src=\"../../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf\"></script>\n\n\n \n</body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:22.319Z"}}},{"rowIdx":283,"cells":{"title":{"kind":"string","value":"Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA) — AWS Neuron Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/announcements/neuron2.x/neuron2-intro.html"},"markdown":{"kind":"string","value":"# Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA) — AWS Neuron Documentation\n\n## Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)[#](#introducing-first-release-of-neuron-2-x-enabling-ec2-trn1-general-availability-ga \"Permalink to this headline\")\n\nNeuron release 2.3 is the first release of Neuron 2.x, and which enables GA of the new EC2 Trn1 instances. Neuron release 2.3 extends latest release of Neuron 1.x (Neuron 1.19.2) to add support for deep-learning training on the AWS Trainium chips.\n\nStarting with Neuron release 2.3, developers can run deep learning training workloads on Trn1 instances to save training costs by up to 50% over equivalent GPU-based EC2 instances, while getting the highest training performance in AWS cloud for popular NLP models. Neuron 2.x introduces the new capabilities and major architectural updates to support training neural-networks with the Trn1 instances.\n\nIn addition, starting with this release, Neuron introduces new packages, renames several packages, and updates Neuron installation and update instructions. This release also ends the support for Neuron Runtime 1.x."},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA) — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../../../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link href=\"../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n\n \n <link rel=\"stylesheet\" href=\"../../../_static/vendor/fontawesome/5.13.0/css/all.min.css\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" href=\"../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" 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class=\"bd-toc-item active\">\n <p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Overview\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../quick-start/docs-quicklinks.html\">\n Quick Links\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../quick-start/index.html\">\n Get Started with Neuron\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../quick-start/github-samples.html\">\n GitHub Samples\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../benchmarks/index.html\">\n Performance\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../../release-notes/index.html\">\n What’s New\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../index.html\">\n Announcements\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Frameworks\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/index.html\">\n PyTorch Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-1\" name=\"toctree-checkbox-1\" type=\"checkbox\">\n <label for=\"toctree-checkbox-1\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-setup.html\">\n Pytorch Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/inference-torch-neuronx.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-2\" name=\"toctree-checkbox-2\" type=\"checkbox\">\n <label for=\"toctree-checkbox-2\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/inference/tutorials-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-3\" name=\"toctree-checkbox-3\" type=\"checkbox\">\n <label for=\"toctree-checkbox-3\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../src/examples/pytorch/torch-neuronx/bert-base-cased-finetuned-mrpc-inference-on-trn1-tutorial.html\">\n Compiling and Deploying HuggingFace Pretrained BERT on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/inference/tutorial-torchserve-neuronx.html\">\n BERT TorchServe Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorial-libtorch.html\">\n LibTorch C++ Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-4\" name=\"toctree-checkbox-4\" type=\"checkbox\">\n <label for=\"toctree-checkbox-4\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx\">\n Transformers Neuron GitHub samples\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/inference-api-guide-torch-neuronx.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-5\" name=\"toctree-checkbox-5\" type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../appnotes/torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../appnotes/torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../appnotes/torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" 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</a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-26\" name=\"toctree-checkbox-26\" type=\"checkbox\">\n <label for=\"toctree-checkbox-26\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-28\" name=\"toctree-checkbox-28\" type=\"checkbox\">\n <label for=\"toctree-checkbox-28\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-tracing-python-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label for=\"toctree-checkbox-31\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-32\" name=\"toctree-checkbox-32\" type=\"checkbox\">\n <label for=\"toctree-checkbox-32\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-33\" name=\"toctree-checkbox-33\" type=\"checkbox\">\n <label for=\"toctree-checkbox-33\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/api-compilation-python-api.html\">\n Neuron Apache MXNet (Incubating) Compilation Python API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-34\" name=\"toctree-checkbox-34\" type=\"checkbox\">\n <label for=\"toctree-checkbox-34\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../appnotes/mxnet-neuron/flex-eg.html\">\n Flexible Execution Group (FlexEG) in Neuron-MXNet\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/misc-mxnet-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-35\" name=\"toctree-checkbox-35\" type=\"checkbox\">\n <label for=\"toctree-checkbox-35\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for Neuron Apache MXNet (Incubating)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/mxnet-neuron/mxnet-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-mxnet.html\">\n Neuron Apache MXNet (Incubating) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Libraries\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/transformers-neuronx/index.html\">\n Transformers Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-36\" name=\"toctree-checkbox-36\" type=\"checkbox\">\n <label for=\"toctree-checkbox-36\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../libraries/transformers-neuronx/setup/index.html\">\n Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" 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<li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html\">\n Neuron Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/index.html\">\n Neuron C++ Custom Operators\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-59\" name=\"toctree-checkbox-59\" type=\"checkbox\">\n <label for=\"toctree-checkbox-59\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/api-reference-guide/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-60\" name=\"toctree-checkbox-60\" type=\"checkbox\">\n <label for=\"toctree-checkbox-60\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li 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</li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/nccom-test.html\">\n NCCOM-TEST User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" name=\"toctree-checkbox-66\" type=\"checkbox\">\n <label for=\"toctree-checkbox-66\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/tutorials/tutorial-tensorboard-scalars-mnist.html\">\n Track Training Progress in TensorBoard using PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/tensorboard/getting-started-tensorboard-neuronx-plugin.html\">\n TensorBoard Plugin for Neuron (Trn1)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/tools/tensorboard-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/tensorboard/getting-started-tensorboard-neuron-plugin.html\">\n TensorBoard Plugin for Neuron (Inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/helper-tools/index.html\">\n Helper Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-67\" name=\"toctree-checkbox-67\" type=\"checkbox\">\n <label for=\"toctree-checkbox-67\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/helper-tools/tutorial-neuron-check-model.html\">\n Check Model\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/helper-tools/tutorial-neuron-gatherinfo.html\">\n GatherInfo\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/index.html\">\n NeuronPerf (Beta)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-68\" name=\"toctree-checkbox-68\" type=\"checkbox\">\n <label for=\"toctree-checkbox-68\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_overview.html\">\n Overview\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_terminology.html\">\n Terminology\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_evaluate_guide.html\">\n Evaluate Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_compile_guide.html\">\n Compile Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_model_index_guide.html\">\n Model Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/rn.html\">\n What’s New\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-69\" name=\"toctree-checkbox-69\" type=\"checkbox\">\n <label for=\"toctree-checkbox-69\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tools/neuronperf.html\">\n NeuronPerf 1.x Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../calculator/neuron-calculator.html\">\n Neuron Calculator\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../setup/index.html\">\n Setup Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-70\" name=\"toctree-checkbox-70\" type=\"checkbox\">\n <label for=\"toctree-checkbox-70\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" name=\"toctree-checkbox-71\" type=\"checkbox\">\n <label for=\"toctree-checkbox-71\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-72\" name=\"toctree-checkbox-72\" type=\"checkbox\">\n <label for=\"toctree-checkbox-72\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-73\" name=\"toctree-checkbox-73\" type=\"checkbox\">\n <label for=\"toctree-checkbox-73\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/tutorial-infer.html\">\n Run inference in pytorch neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/k8s_rn50_demo.html\">\n Deploy a TensorFlow Resnet50 model as a Kubernetes service\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label for=\"toctree-checkbox-74\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/tutorial-training.html\">\n Run training in Pytorch Neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/k8s_mlp_train_demo.html\">\n Deploy a simple mlp training script as a Kubernetes job\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-75\" name=\"toctree-checkbox-75\" type=\"checkbox\">\n <label for=\"toctree-checkbox-75\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-79\" name=\"toctree-checkbox-79\" type=\"checkbox\">\n <label for=\"toctree-checkbox-79\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/index.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-80\" name=\"toctree-checkbox-80\" type=\"checkbox\">\n <label for=\"toctree-checkbox-80\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/ec2-flows.html\">\n AWS EC2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-82\" name=\"toctree-checkbox-82\" type=\"checkbox\">\n <label for=\"toctree-checkbox-82\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-83\" name=\"toctree-checkbox-83\" type=\"checkbox\">\n <label for=\"toctree-checkbox-83\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-then-ec2-devflow.html\">\n Compile with Framework API and Deploy on EC2 Inf1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-then-ec2-devflow-inf2.html\">\n Compile with Framework API and Deploy on EC2 Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/training/ec2-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-84\" name=\"toctree-checkbox-84\" type=\"checkbox\">\n <label for=\"toctree-checkbox-84\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/training/ec2/ec2-training.html\">\n Train your model on EC2\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/eks-flows.html\">\n Amazon EKS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-85\" name=\"toctree-checkbox-85\" type=\"checkbox\">\n <label for=\"toctree-checkbox-85\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/eks-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-86\" name=\"toctree-checkbox-86\" type=\"checkbox\">\n <label for=\"toctree-checkbox-86\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/training/eks-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/ecs-flows.html\">\n AWS ECS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-87\" name=\"toctree-checkbox-87\" type=\"checkbox\">\n <label for=\"toctree-checkbox-87\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ecs-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-88\" name=\"toctree-checkbox-88\" type=\"checkbox\">\n <label for=\"toctree-checkbox-88\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/training/ecs-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/sagemaker-flows.html\">\n Sagemaker\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-89\" name=\"toctree-checkbox-89\" type=\"checkbox\">\n <label for=\"toctree-checkbox-89\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/sagemaker-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-90\" name=\"toctree-checkbox-90\" type=\"checkbox\">\n <label for=\"toctree-checkbox-90\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/byoc-hosting-devflow-inf2.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf2 or trn1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/byoc-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/neo-then-hosting-devflow.html\">\n Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/training/sagemaker-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-91\" name=\"toctree-checkbox-91\" type=\"checkbox\">\n <label for=\"toctree-checkbox-91\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/training/sm-devflow/sm-training-devflow.html\">\n Train your model on SageMaker\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sagemaker-samples\">\n AWS Neuron Sagemaker Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/parallelcluster-flows.html\">\n Parallel Cluster\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-92\" name=\"toctree-checkbox-92\" type=\"checkbox\">\n <label for=\"toctree-checkbox-92\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/inference/parallelcluster-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/training/parallelcluster-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-93\" name=\"toctree-checkbox-93\" type=\"checkbox\">\n <label for=\"toctree-checkbox-93\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/training/parallelcluster/parallelcluster-training.html\">\n Train your model on ParallelCluster\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/aws-batch-flows.html\">\n AWS Batch Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-94\" name=\"toctree-checkbox-94\" type=\"checkbox\">\n <label for=\"toctree-checkbox-94\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/inference/aws-batch-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/training/aws-batch-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Learning Neuron\n </span>\n</p>\n<ul class=\"current nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../arch/index.html\">\n Architecture\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-95\" name=\"toctree-checkbox-95\" type=\"checkbox\">\n <label for=\"toctree-checkbox-95\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inf1-arch.html\">\n AWS Inf1 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/trn1-arch.html\">\n AWS Trn1/Trn1n Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inf2-arch.html\">\n AWS Inf2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inferentia.html\">\n Inferentia Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inferentia2.html\">\n Inferentia2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/trainium.html\">\n Trainium Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/neuroncores-arch.html\">\n AWS NeuronCore Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/model-architecture-fit.html\">\n Neuron Model Architecture Fit Guidelines\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/glossary.html\">\n Neuron Glossary\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/index.html\">\n Features\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-96\" name=\"toctree-checkbox-96\" type=\"checkbox\">\n <label for=\"toctree-checkbox-96\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/data-types.html\">\n Data Types\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/rounding-modes.html\">\n Rounding Modes\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/neuroncore-batching.html\">\n Neuron Batching\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/neuroncore-pipeline.html\">\n NeuronCore Pipeline\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/collective-communication.html\">\n Collective Communication\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/control-flow.html\">\n Neuron Control Flow\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/custom-c%2B%2B-operators.html\">\n Neuron Custom C++ Operators\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/dynamic-shapes.html\">\n Neuron Dynamic Shapes\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 current active has-children\">\n <a class=\"reference internal\" href=\"../../appnotes/index.html\">\n Application Notes\n </a>\n <input checked=\"\" class=\"toctree-checkbox\" id=\"toctree-checkbox-97\" name=\"toctree-checkbox-97\" type=\"checkbox\">\n <label for=\"toctree-checkbox-97\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul class=\"current\">\n <li class=\"toctree-l2 current active\">\n <a class=\"current reference internal\" href=\"#\">\n Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../appnotes/neuron1x/introducing-libnrt.html\">\n Introducing Neuron Runtime 2.x (libnrt.so)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../appnotes/perf/neuron-cc/performance-tuning.html\">\n Performance Tuning\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../appnotes/perf/neuron-cc/parallel-ncgs.html\">\n Parallel Execution using NEURON_RT_NUM_CORES\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../appnotes/torch-neuron/rcnn-app-note.html\">\n Running R-CNNs on Inf1\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">\n Generative LLM inference with Neuron\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n About Neuron\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../../release-notes/release.html\">\n Release Details\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../roadmap-readme.html\">\n Roadmap\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-98\" name=\"toctree-checkbox-98\" type=\"checkbox\">\n <label for=\"toctree-checkbox-98\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference external\" href=\"https://github.com/orgs/aws-neuron/projects/1/views/1\">\n Neuron Public Roadmap\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../support.html\">\n Support\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-99\" name=\"toctree-checkbox-99\" type=\"checkbox\">\n <label for=\"toctree-checkbox-99\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../sdk-policy.html\">\n SDK Maintenance Policy\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../security.html\">\n Security Disclosures\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../contact.html\">\n Contact Us\n </a>\n </li>\n </ul>\n </li>\n</ul>\n\n </div>\n</nav></div>\n <div class=\"bd-sidebar__bottom\">\n <!-- To handle the deprecated key -->\n \n <div class=\"navbar_extra_footer\">\n Theme by the <a href=\"https://ebp.jupyterbook.org\">Executable Book Project</a>\n </div>\n \n </div>\n </div>\n <div id=\"rtd-footer-container\"><!-- Inserted RTD Footer -->\n\n<div class=\"injected\">\n\n \n <div class=\"rst-versions rst-badge\" data-toggle=\"rst-versions\">\n <span class=\"rst-current-version\" data-toggle=\"rst-current-version\">\n <span class=\"fa fa-book\"> </span>\n v: v2.14.1\n <span class=\"fa fa-caret-down\"></span>\n </span>\n <div class=\"rst-other-versions\">\n \n\n \n \n \n <dl>\n <dt>Versions</dt>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/latest/general/announcements/neuron2.x/neuron2-intro.html\">latest</a>\n </dd>\n \n <dd class=\"rtd-current-item\">\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/announcements/neuron2.x/neuron2-intro.html\">v2.14.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.0/general/announcements/neuron2.x/neuron2-intro.html\">v2.14.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.13.2/general/announcements/neuron2.x/neuron2-intro.html\">v2.13.2</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.13.1/general/announcements/neuron2.x/neuron2-intro.html\">v2.13.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.13.0/general/announcements/neuron2.x/neuron2-intro.html\">v2.13.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.12.2/general/announcements/neuron2.x/neuron2-intro.html\">v2.12.2</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.12.1/general/announcements/neuron2.x/neuron2-intro.html\">v2.12.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.12.0/general/announcements/neuron2.x/neuron2-intro.html\">v2.12.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.11.0/general/announcements/neuron2.x/neuron2-intro.html\">v2.11.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.10.0/general/announcements/neuron2.x/neuron2-intro.html\">v2.10.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.9.1/general/announcements/neuron2.x/neuron2-intro.html\">v2.9.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.9.0/general/announcements/neuron2.x/neuron2-intro.html\">v2.9.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.8.0/general/announcements/neuron2.x/neuron2-intro.html\">v2.8.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.7.0/general/announcements/neuron2.x/neuron2-intro.html\">v2.7.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.6.0/general/announcements/neuron2.x/neuron2-intro.html\">v2.6.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.5.0/general/announcements/neuron2.x/neuron2-intro.html\">v2.5.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.4.0/general/announcements/neuron2.x/neuron2-intro.html\">v2.4.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.3.0/general/announcements/neuron2.x/neuron2-intro.html\">v2.3.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.19.2/general/announcements/neuron2.x/neuron2-intro.html\">v1.19.2</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.19.1/general/announcements/neuron2.x/neuron2-intro.html\">v1.19.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.19.0/general/announcements/neuron2.x/neuron2-intro.html\">v1.19.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.18.0/general/announcements/neuron2.x/neuron2-intro.html\">v1.18.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.17.2/general/announcements/neuron2.x/neuron2-intro.html\">v1.17.2</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.17.1/general/announcements/neuron2.x/neuron2-intro.html\">v1.17.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.17.0/general/announcements/neuron2.x/neuron2-intro.html\">v1.17.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.3/general/announcements/neuron2.x/neuron2-intro.html\">v1.16.3</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.2/general/announcements/neuron2.x/neuron2-intro.html\">v1.16.2</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.1/general/announcements/neuron2.x/neuron2-intro.html\">v1.16.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.0/general/announcements/neuron2.x/neuron2-intro.html\">v1.16.0</a>\n </dd>\n \n </dl>\n \n \n\n \n \n <dl>\n <dt>Downloads</dt>\n \n <dd><a href=\"//awsdocs-neuron.readthedocs-hosted.com/_/downloads/en/v2.14.1/pdf/\">PDF</a></dd>\n \n </dl>\n \n \n\n \n\n\n\n \n\n \n <dl>\n <dt>On GitHub</dt>\n <dd>\n <a href=\"https://github.com/aws/aws-neuron-sdk/blob/v2.14.1//general/announcements/neuron2.x/neuron2-intro.rst\">View</a>\n </dd>\n \n </dl>\n \n \n\n \n\n <hr>\n\n \n<div>\n \n <div>\n Documentation hosted by <a href=\"https://readthedocs.com\">Read the Docs</a>\n </div>\n</div>\n\n\n \n </div>\n </div>\n \n\n</div>\n</div>\n</div>\n\n\n \n\n\n \n<!-- A tiny helper pixel to detect if we've scrolled -->\n<div class=\"sbt-scroll-pixel-helper\"></div>\n<!-- Main content -->\n<div class=\"col py-0 content-container\">\n \n <div class=\"header-article row sticky-top noprint\">\n \n\n\n\n<div class=\"col py-1 d-flex header-article-main\">\n <div class=\"header-article__left\">\n \n <label for=\"__navigation\" class=\"headerbtn\" data-toggle=\"tooltip\" data-placement=\"right\" title=\"\" data-original-title=\"Toggle navigation\">\n \n\n<span class=\"headerbtn__icon-container\">\n <i class=\"fas fa-bars\"></i>\n </span>\n\n</label>\n\n \n </div>\n <div class=\"header-article__right\">\n<button 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class=\"headerbtn__icon-container\">\n <i class=\"fas fa-list\"></i>\n </span>\n\n</label>\n\n </div>\n</div>\n\n<!-- Table of contents -->\n<div class=\"col-md-3 bd-toc show noprint\">\n <div class=\"tocsection onthispage pt-5 pb-3\">\n <i class=\"fas fa-list\"></i> Contents\n </div>\n <nav id=\"bd-toc-nav\" aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#more-about-the-release\">\n More about the release\n </a>\n </li>\n</ul>\n\n </nav>\n</div>\n </div>\n <div class=\"article row\">\n <div class=\"col pl-md-3 pl-lg-5 content-container\">\n <!-- Table of contents that is only displayed when printing the page -->\n <div id=\"jb-print-docs-body\" class=\"onlyprint\">\n <h1>Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)</h1>\n <!-- Table of contents -->\n <div id=\"print-main-content\">\n <div id=\"jb-print-toc\">\n \n <div>\n <h2> Contents </h2>\n </div>\n <nav aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#more-about-the-release\">\n More about the release\n </a>\n </li>\n</ul>\n\n </nav>\n </div>\n </div>\n </div>\n <main id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n<div class=\"section\" id=\"introducing-first-release-of-neuron-2-x-enabling-ec2-trn1-general-availability-ga\">\n<span id=\"neuron2-intro\"></span><h1>Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)<a class=\"headerlink\" href=\"#introducing-first-release-of-neuron-2-x-enabling-ec2-trn1-general-availability-ga\" title=\"Permalink to this headline\">#</a></h1>\n<p><span class=\"xref std std-ref\">Neuron release 2.3</span> is the first release of Neuron 2.x, and which enables GA of the new EC2 Trn1 instances.\nNeuron release 2.3 extends latest release of Neuron 1.x (Neuron 1.19.2) to add support for deep-learning training on the AWS Trainium chips.</p>\n<p>Starting with <span class=\"xref std std-ref\">Neuron release 2.3</span>, developers can run deep learning training workloads on Trn1 instances to save training costs by up to\n50% over equivalent GPU-based EC2 instances, while getting the highest training performance in AWS cloud for popular NLP models. Neuron 2.x introduces the new capabilities and major architectural updates to support training neural-networks with the Trn1 instances.</p>\n<p>In addition, starting with this release, Neuron introduces new packages, renames several packages,\nand updates Neuron installation and update instructions. This release also ends the support for Neuron Runtime 1.x.</p>\n<div class=\"section\" id=\"more-about-the-release\">\n<h2>More about the release<a class=\"headerlink\" href=\"#more-about-the-release\" title=\"Permalink to this headline\">#</a></h2>\n<table class=\"colwidths-auto table-smaller-font-size table\">\n<tbody>\n<tr class=\"row-odd\"><td><p>What’s New</p></td>\n<td><ul class=\"simple\">\n<li><p><span class=\"xref std std-ref\">rn2.3.0_new</span></p></li>\n<li><p><a class=\"reference internal\" href=\"neuron230-packages-changes.html#neuron-packages-changes\"><span class=\"std std-ref\">Introducing Packaging and installation changes</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"github-changes.html#announce-aws-neuron-github-org\"><span class=\"std std-ref\">Introducing New Neuron GitHub Repositories</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"neuron-rtd-eol.html#announce-neuron-rtd-eol\"><span class=\"std std-ref\">Announcing Neuron Runtime 1.x (neuron-rtd) end-of-support</span></a></p></li>\n</ul>\n</td>\n</tr>\n<tr class=\"row-even\"><td><p>Get started with Neuron</p></td>\n<td><ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../../quick-start/torch-neuron.html#torch-quick-start\"><span class=\"std std-ref\">Get Started with PyTorch Neuron</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"../../quick-start/docs-quicklinks.html#docs-quick-links\"><span class=\"std std-ref\">Neuron Quick Links</span></a></p></li>\n</ul>\n</td>\n</tr>\n<tr class=\"row-odd\"><td><p>Tested workloads and known issues</p></td>\n<td><ul class=\"simple\">\n<li><p><span class=\"xref std std-ref\">rn2.3.0_tested</span></p></li>\n<li><p><span class=\"xref std std-ref\">rn2.3.0-known-issues</span></p></li>\n</ul>\n</td>\n</tr>\n<tr class=\"row-even\"><td><p>Frequently Asked Questions (FAQ)</p></td>\n<td><ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../../faq/neuron2-intro-faq.html#neuron2-intro-faq\"><span class=\"std std-ref\">Neuron 2.x Introduction at Trn1 GA - FAQ</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"../../faq/training/neuron-training.html#neuron-training-faq\"><span class=\"std std-ref\">Training with Neuron - FAQ</span></a></p></li>\n</ul>\n</td>\n</tr>\n<tr class=\"row-odd\"><td><p>Troubleshooting</p></td>\n<td><ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/training-troubleshooting.html#pytorch-neuron-traning-troubleshooting\"><span class=\"std std-ref\">PyTorch Neuron Troubleshooting on Trn1</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"../../../neuron-runtime/nrt-troubleshoot.html#nrt-troubleshooting\"><span class=\"std std-ref\">Neuron Runtime Troubleshooting on Inf1 and Trn1</span></a></p></li>\n</ul>\n</td>\n</tr>\n<tr class=\"row-even\"><td><p>Neuron architecture and features</p></td>\n<td><ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../../arch/index.html#neuron-architecture-index\"><span class=\"std std-ref\">Neuron Architecture</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"../../arch/neuron-features/index.html#neuron-features-index\"><span class=\"std std-ref\">Neuron Features</span></a></p></li>\n</ul>\n</td>\n</tr>\n<tr class=\"row-odd\"><td><p>Neuron Components release notes</p></td>\n<td><ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../../../release-notes/index.html#components-rn\"><span class=\"std std-ref\">Neuron Components Release Notes</span></a></p></li>\n</ul>\n</td>\n</tr>\n</tbody>\n</table>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n</div>\n</div>\n\n<div class=\"section\">\n \n \n</div>\n\n </div>\n \n </main>\n <footer class=\"footer-article noprint\">\n \n <!-- Previous / next buttons -->\n<div class=\"prev-next-area\">\n <a class=\"left-prev\" id=\"prev-link\" href=\"../../appnotes/index.html\" title=\"previous page\">\n <i class=\"fas fa-angle-left\"></i>\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">previous</p>\n <p class=\"prev-next-title\">Neuron Application Notes</p>\n </div>\n </a>\n <a class=\"right-next\" id=\"next-link\" href=\"../../appnotes/neuron1x/introducing-libnrt.html\" title=\"next page\">\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">next</p>\n <p class=\"prev-next-title\">Introducing Neuron Runtime 2.x (libnrt.so)</p>\n </div>\n <i class=\"fas fa-angle-right\"></i>\n </a>\n</div>\n </footer>\n </div>\n </div>\n <div class=\"footer-content row\">\n <footer class=\"col footer\"><p>\n \n By AWS<br>\n \n © Copyright 2023, Amazon.com.<br>\n</p>\n </footer>\n </div>\n \n</div>\n\n\n </div>\n </div>\n \n <!-- Scripts loaded after <body> so the DOM is not blocked -->\n <script src=\"../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf\"></script>\n\n\n \n</body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:22.596Z"}}},{"rowIdx":284,"cells":{"title":{"kind":"string","value":"Running R-CNNs on Inf1 — AWS Neuron Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/appnotes/torch-neuron/rcnn-app-note.html"},"markdown":{"kind":"string","value":"# Running R-CNNs on Inf1 — AWS Neuron Documentation\n\n```\nimport time\nimport os\nimport urllib.request\nfrom typing import Any, Union, Callable\n\nimport cv2\nimport numpy as np\nfrom concurrent.futures import ThreadPoolExecutor\n\nimport torch\nimport torch_neuron\n\nfrom detectron2 import model_zoo\nfrom detectron2.engine import DefaultPredictor\nfrom detectron2.config import get_cfg\nfrom detectron2.modeling.meta_arch.rcnn import GeneralizedRCNN\n\n\n# -----------------------------------------------------------------------------\n# Helper functions\n# -----------------------------------------------------------------------------\n\ndef get_model():\n\n # Configure the R-CNN model\n CONFIG_FILE = \"COCO-Detection/faster_rcnn_R_101_FPN_3x.yaml\"\n WEIGHTS_FILE = \"COCO-Detection/faster_rcnn_R_101_FPN_3x.yaml\"\n cfg = get_cfg()\n cfg.merge_from_file(model_zoo.get_config_file(CONFIG_FILE))\n cfg.MODEL.WEIGHTS = model_zoo.get_checkpoint_url(WEIGHTS_FILE)\n cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5\n cfg.MODEL.DEVICE = 'cpu' # Send to CPU for Neuron Tracing\n\n # Create the R-CNN predictor wrapper\n predictor = DefaultPredictor(cfg)\n return predictor\n\n\ndef get_image():\n\n # Get a sample image\n filename = 'input.jpg'\n if not os.path.exists(filename):\n url = \"http://images.cocodataset.org/val2017/000000439715.jpg\"\n urllib.request.urlretrieve(url, filename)\n return filename\n\n\ndef preprocess(original_image, predictor):\n \"\"\"\n A basic preprocessing function that sets the input height=800 and\n input width=800. The function is derived from the preprocessing\n steps in the Detectron2 `DefaultPredictor` module.\n \"\"\"\n\n height, width = original_image.shape[:2]\n resize_func = predictor.aug.get_transform(original_image)\n resize_func.new_h = 800 # Override height\n resize_func.new_w = 800 # Override width\n image = resize_func.apply_image(original_image)\n image = torch.as_tensor(image.astype(\"float32\").transpose(2, 0, 1))\n inputs = {\"image\": image, \"height\": height, \"width\": width}\n return inputs\n\n\n# -----------------------------------------------------------------------------\n# Neuron modules\n# -----------------------------------------------------------------------------\n\nclass NeuronFusedBackboneRPNHead(torch.nn.Module):\n \"\"\"\n Wrapper to compile the fused ResNet backbone and RPN Head.\n \"\"\"\n\n def __init__(self, model: GeneralizedRCNN) -> None:\n super().__init__()\n self.backbone = model.backbone\n self.rpn_head = model.proposal_generator.rpn_head\n self.in_features = model.proposal_generator.in_features\n\n def forward(self, x):\n features = self.backbone(x)\n features_ = [features[f] for f in self.in_features]\n return self.rpn_head(features_), features\n\n\nclass BackboneRPN(torch.nn.Module):\n \"\"\"\n Wrapper that uses the compiled `neuron_backbone_rpn` instead\n of the original backbone and RPN Head. We copy the remainder\n of the RPN `forward` code (`predictor.model.proposal_generator.forward`)\n to create a \"fused\" backbone + RPN module.\n \"\"\"\n\n def __init__(self, model: GeneralizedRCNN) -> None:\n super().__init__()\n self.backbone_rpn_head = NeuronFusedBackboneRPNHead(model)\n self._rpn = model.proposal_generator\n self.in_features = model.proposal_generator.in_features\n\n def forward(self, images):\n preds, features = self.backbone_rpn_head(images.tensor)\n features_ = [features[f] for f in self.in_features]\n pred_objectness_logits, pred_anchor_deltas = preds\n anchors = self._rpn.anchor_generator(features_)\n\n # Transpose the Hi*Wi*A dimension to the middle:\n pred_objectness_logits = [\n # (N, A, Hi, Wi) -> (N, Hi, Wi, A) -> (N, Hi*Wi*A)\n score.permute(0, 2, 3, 1).flatten(1)\n for score in pred_objectness_logits\n ]\n pred_anchor_deltas = [\n # (N, A*B, Hi, Wi) -> (N, A, B, Hi, Wi) -> (N, Hi, Wi, A, B) -> (N, Hi*Wi*A, B)\n x.view(x.shape[0], -1, self._rpn.anchor_generator.box_dim,\n x.shape[-2], x.shape[-1])\n .permute(0, 3, 4, 1, 2)\n .flatten(1, -2)\n for x in pred_anchor_deltas\n ]\n\n proposals = self._rpn.predict_proposals(\n anchors, pred_objectness_logits, pred_anchor_deltas, images.image_sizes\n )\n return proposals, features\n\n\nclass NeuronBoxHeadBoxPredictor(torch.nn.Module):\n \"\"\"\n Wrapper that extracts the RoI Box Head and Box Predictor\n for compilation.\n \"\"\"\n\n def __init__(self, model: GeneralizedRCNN) -> None:\n super().__init__()\n self.roi_heads = model.roi_heads\n\n def forward(self, box_features):\n box_features = self.roi_heads.box_head(box_features)\n predictions = self.roi_heads.box_predictor(box_features)\n return predictions\n\n\nclass ROIHead(torch.nn.Module):\n \"\"\"\n Wrapper that combines the compiled `roi_heads` into the\n rest of the RoI module. The `_forward_box` and `forward`\n functions are from the `predictor.model.roi_heads` module.\n \"\"\"\n\n def __init__(self, model: GeneralizedRCNN) -> None:\n super().__init__()\n self.roi_heads = model.roi_heads\n self.neuron_box_head_predictor = NeuronBoxHeadBoxPredictor(model)\n\n def _forward_box(self, features, proposals):\n features = [features[f] for f in self.roi_heads.box_in_features]\n box_features = self.roi_heads.box_pooler(\n features, [x.proposal_boxes for x in proposals])\n predictions = self.neuron_box_head_predictor(box_features)\n pred_instances, _ = self.roi_heads.box_predictor.inference(\n predictions, proposals)\n return pred_instances\n\n def forward(self, images, features, proposals, targets=None):\n pred_instances = self._forward_box(features, proposals)\n pred_instances = self.roi_heads.forward_with_given_boxes(\n features, pred_instances)\n return pred_instances, {}\n\n\nclass NeuronRCNN(torch.nn.Module):\n \"\"\"\n Wrapper that uses the fused backbone + RPN module and the optimized RoI\n Heads wrapper\n \"\"\"\n\n def __init__(self, model: GeneralizedRCNN) -> None:\n super().__init__()\n\n # Create fused Backbone + RPN\n self.backbone_rpn = BackboneRPN(model)\n\n # Create Neuron RoI Head\n self.roi_heads = ROIHead(model)\n\n # Define pre and post-processing functions\n self.preprocess_image = model.preprocess_image\n self._postprocess = model._postprocess\n\n def forward(self, batched_inputs):\n images = self.preprocess_image(batched_inputs)\n proposals, features = self.backbone_rpn(images)\n results, _ = self.roi_heads(images, features, proposals, None)\n return self._postprocess(results, batched_inputs, images.image_sizes)\n\n\n# -----------------------------------------------------------------------------\n# Compilation functions\n# -----------------------------------------------------------------------------\n\ndef compile(\n model: Union[Callable, torch.nn.Module],\n example_inputs: Any,\n filename: str,\n **kwargs\n) -> torch.nn.Module:\n \"\"\"\n Compiles the model for Inf1 if it doesn't already exist and saves it as the provided filename.\n\n model: A module or function which defines a torch model or computation.\n example_inputs: An example set of inputs which will be passed to the\n `model` during compilation.\n filename: Name of the compiled model\n kwargs: Extra `torch_neuron.trace` kwargs\n \"\"\"\n\n if not os.path.exists(filename):\n with torch.no_grad():\n compiled_model = torch_neuron.trace(model, example_inputs, **kwargs)\n torch.jit.save(compiled_model, filename)\n\n\n# -----------------------------------------------------------------------------\n# Benchmarking function\n# -----------------------------------------------------------------------------\n\ndef benchmark(backbone_rpn_filename, roi_head_filename, inputs,\n n_models=4, batch_size=1, n_threads=4, iterations=200):\n \"\"\"\n A simple benchmarking function that loads `n_models` optimized\n models onto separate NeuronCores, runs multithreaded inference,\n and calculates the corresponding latency and throughput.\n \"\"\"\n\n # Load models\n models = list()\n for i in range(n_models):\n with torch_neuron.experimental.neuron_cores_context(i):\n # Create the RCNN with the fused backbone + RPN Head and compiled RoI Heads\n # Initialize an R-CNN on CPU\n predictor = get_model()\n\n # Create the Neuron R-CNN on CPU\n neuron_rcnn = NeuronRCNN(predictor.model)\n neuron_rcnn.eval()\n\n # Inject the Neuron compiled models\n neuron_rcnn.backbone_rpn.backbone_rpn_head = torch.jit.load(backbone_rpn_filename)\n neuron_rcnn.roi_heads.neuron_box_head_predictor = torch.jit.load(roi_head_filename)\n\n models.append(neuron_rcnn)\n\n # Warmup\n for _ in range(8):\n for model in models:\n model([inputs])\n\n latencies = []\n\n # Thread task\n def task(i):\n start = time.time()\n models[i]([inputs])\n finish = time.time()\n latencies.append((finish - start) * 1000)\n\n begin = time.time()\n with ThreadPoolExecutor(max_workers=n_threads) as pool:\n for i in range(iterations):\n pool.submit(task, i % n_models)\n end = time.time()\n\n # Compute metrics\n boundaries = [50, 95, 99]\n names = [f'Latency P{i} (ms)' for i in boundaries]\n percentiles = np.percentile(latencies, boundaries)\n duration = end - begin\n\n # Display metrics\n results = {\n 'Samples': iterations,\n 'Batch Size': batch_size,\n 'Models': n_models,\n 'Threads': n_threads,\n 'Duration (s)': end - begin,\n 'Throughput (inf/s)': (batch_size * iterations) / duration,\n **dict(zip(names, percentiles)),\n }\n\n print('-' * 80)\n pad = max(map(len, results))\n for key, value in results.items():\n if isinstance(value, float):\n print(f'{key + \":\" :<{pad + 1}} {value:0.3f}')\n else:\n print(f'{key + \":\" :<{pad + 1}} {value}')\n print()\n\n\nif __name__ == \"__main__\":\n\n # Create and compile the combined backbone and RPN Head wrapper\n backbone_rpn_filename = 'backbone_rpn.pt'\n predictor = get_model()\n backbone_rpn_wrapper = NeuronFusedBackboneRPNHead(predictor.model)\n backbone_rpn_wrapper.eval()\n example = torch.rand([1, 3, 800, 800])\n compile(backbone_rpn_wrapper, example, backbone_rpn_filename, strict=False)\n\n # Create and compile the RoI Head wrapper\n roi_head_filename = 'box_head_predictor.pt'\n predictor = get_model()\n box_head_predictor = NeuronBoxHeadBoxPredictor(predictor.model)\n box_head_predictor.eval()\n example = torch.rand([1000, 256, 7, 7])\n compile(box_head_predictor, example, roi_head_filename)\n\n # Download a sample image from the COCO dataset and read it\n image_filename = get_image()\n image = cv2.imread(image_filename)\n inputs = preprocess(image, get_model())\n\n # Benchmark the Neuron R-CNN model for various numbers of loaded models\n benchmark(backbone_rpn_filename, roi_head_filename, inputs, n_models=1, n_threads=1)\n benchmark(backbone_rpn_filename, roi_head_filename, inputs, n_models=1, n_threads=2)\n benchmark(backbone_rpn_filename, roi_head_filename, inputs, n_models=2, n_threads=2)\n benchmark(backbone_rpn_filename, roi_head_filename, inputs, n_models=2, n_threads=4)\n benchmark(backbone_rpn_filename, roi_head_filename, inputs, n_models=4, n_threads=4)\n benchmark(backbone_rpn_filename, roi_head_filename, inputs, n_models=4, n_threads=8)\n\n```"},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Running R-CNNs on Inf1 — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../../../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link href=\"../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n\n \n <link rel=\"stylesheet\" href=\"../../../_static/vendor/fontawesome/5.13.0/css/all.min.css\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" 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internal\" href=\"../../../frameworks/torch/inference-torch-neuronx.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-2\" name=\"toctree-checkbox-2\" type=\"checkbox\">\n <label for=\"toctree-checkbox-2\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/inference/tutorials-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-3\" name=\"toctree-checkbox-3\" type=\"checkbox\">\n <label for=\"toctree-checkbox-3\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../src/examples/pytorch/torch-neuronx/bert-base-cased-finetuned-mrpc-inference-on-trn1-tutorial.html\">\n Compiling and Deploying HuggingFace Pretrained BERT on Trn1 or Inf2\n </a>\n </li>\n <li 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type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas 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href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-26\" name=\"toctree-checkbox-26\" type=\"checkbox\">\n <label for=\"toctree-checkbox-26\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-28\" name=\"toctree-checkbox-28\" type=\"checkbox\">\n <label for=\"toctree-checkbox-28\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-tracing-python-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label for=\"toctree-checkbox-31\">\n <i class=\"fas fa-chevron-down\">\n 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class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-cc/mixed-precision.html\">\n Mixed precision and performance-accuracy tuning (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuron-cc\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../compiler/neuron-cc/misc-neuron-cc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-58\" name=\"toctree-checkbox-58\" type=\"checkbox\">\n <label for=\"toctree-checkbox-58\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../compiler/neuron-cc/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html\">\n Neuron Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/index.html\">\n Neuron C++ Custom Operators\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-59\" name=\"toctree-checkbox-59\" type=\"checkbox\">\n <label for=\"toctree-checkbox-59\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/api-reference-guide/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-60\" name=\"toctree-checkbox-60\" type=\"checkbox\">\n <label for=\"toctree-checkbox-60\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/api-reference-guide/custom-ops-ref-guide.html\">\n Custom Operators API Reference Guide [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/programming-guide/programming-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-61\" name=\"toctree-checkbox-61\" type=\"checkbox\">\n <label for=\"toctree-checkbox-61\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/programming-guide/custom-c%2B%2B-operators-devguide.html\">\n Neuron Custom C++ Operators Developer Guide [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-62\" name=\"toctree-checkbox-62\" type=\"checkbox\">\n <label for=\"toctree-checkbox-62\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/misc-customops.html\">\n Misc (Neuron Custom C++ Operators)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-63\" name=\"toctree-checkbox-63\" type=\"checkbox\">\n <label for=\"toctree-checkbox-63\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/customcxxps/gpsimd-tools.html\">\n Neuron Custom C++ Tools Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/customcxxps/gpsimd-customop-lib.html\">\n Neuron Custom C++ Library Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/index.html\">\n Neuron Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-64\" name=\"toctree-checkbox-64\" type=\"checkbox\">\n <label for=\"toctree-checkbox-64\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/index.html\">\n System Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-65\" name=\"toctree-checkbox-65\" type=\"checkbox\">\n <label for=\"toctree-checkbox-65\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/neuron-monitor-user-guide.html\">\n Neuron-Monitor User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/neuron-top-user-guide.html\">\n Neuron-Top User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/neuron-ls.html\">\n Neuron-LS User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/neuron-profile-user-guide.html\">\n Neuron Profile User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/neuron-sysfs-user-guide.html\">\n Neuron-Sysfs User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/nccom-test.html\">\n NCCOM-TEST User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" name=\"toctree-checkbox-66\" type=\"checkbox\">\n <label for=\"toctree-checkbox-66\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/tutorials/tutorial-tensorboard-scalars-mnist.html\">\n Track Training Progress in TensorBoard using PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/tensorboard/getting-started-tensorboard-neuronx-plugin.html\">\n TensorBoard Plugin for Neuron (Trn1)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/tools/tensorboard-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/tensorboard/getting-started-tensorboard-neuron-plugin.html\">\n TensorBoard Plugin for Neuron (Inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/helper-tools/index.html\">\n Helper Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-67\" name=\"toctree-checkbox-67\" type=\"checkbox\">\n <label for=\"toctree-checkbox-67\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/helper-tools/tutorial-neuron-check-model.html\">\n Check Model\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/helper-tools/tutorial-neuron-gatherinfo.html\">\n GatherInfo\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/index.html\">\n NeuronPerf (Beta)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-68\" name=\"toctree-checkbox-68\" type=\"checkbox\">\n <label for=\"toctree-checkbox-68\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_overview.html\">\n Overview\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_terminology.html\">\n Terminology\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_evaluate_guide.html\">\n Evaluate Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_compile_guide.html\">\n Compile Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_model_index_guide.html\">\n Model Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/rn.html\">\n What’s New\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-69\" name=\"toctree-checkbox-69\" type=\"checkbox\">\n <label for=\"toctree-checkbox-69\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tools/neuronperf.html\">\n NeuronPerf 1.x Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../calculator/neuron-calculator.html\">\n Neuron Calculator\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../setup/index.html\">\n Setup Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-70\" name=\"toctree-checkbox-70\" type=\"checkbox\">\n <label for=\"toctree-checkbox-70\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" name=\"toctree-checkbox-71\" type=\"checkbox\">\n <label for=\"toctree-checkbox-71\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-72\" name=\"toctree-checkbox-72\" type=\"checkbox\">\n <label for=\"toctree-checkbox-72\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-73\" name=\"toctree-checkbox-73\" type=\"checkbox\">\n <label for=\"toctree-checkbox-73\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/tutorial-infer.html\">\n Run inference in pytorch neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/k8s_rn50_demo.html\">\n Deploy a TensorFlow Resnet50 model as a Kubernetes service\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label for=\"toctree-checkbox-74\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/tutorial-training.html\">\n Run training in Pytorch Neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/k8s_mlp_train_demo.html\">\n Deploy a simple mlp training script as a Kubernetes job\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-75\" name=\"toctree-checkbox-75\" type=\"checkbox\">\n <label for=\"toctree-checkbox-75\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-79\" name=\"toctree-checkbox-79\" type=\"checkbox\">\n <label for=\"toctree-checkbox-79\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/index.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-80\" name=\"toctree-checkbox-80\" type=\"checkbox\">\n <label for=\"toctree-checkbox-80\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/ec2-flows.html\">\n AWS EC2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-82\" name=\"toctree-checkbox-82\" type=\"checkbox\">\n <label for=\"toctree-checkbox-82\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-83\" name=\"toctree-checkbox-83\" type=\"checkbox\">\n <label for=\"toctree-checkbox-83\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" 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role=\"heading\">\n <span class=\"caption-text\">\n Learning Neuron\n </span>\n</p>\n<ul class=\"current nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../arch/index.html\">\n Architecture\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-95\" name=\"toctree-checkbox-95\" type=\"checkbox\">\n <label for=\"toctree-checkbox-95\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inf1-arch.html\">\n AWS Inf1 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/trn1-arch.html\">\n AWS Trn1/Trn1n Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inf2-arch.html\">\n AWS Inf2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" 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class=\"headerbtn__icon-container\">\n <i class=\"fas fa-list\"></i>\n </span>\n\n</label>\n\n </div>\n</div>\n\n<!-- Table of contents -->\n<div class=\"col-md-3 bd-toc show noprint\">\n <div class=\"tocsection onthispage pt-5 pb-3\">\n <i class=\"fas fa-list\"></i> Contents\n </div>\n <nav id=\"bd-toc-nav\" aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#r-cnn-model-overview\">\n R-CNN Model Overview\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#r-cnn-limitations-and-considerations-on-inferentia-neuroncore-v1\">\n R-CNN Limitations and Considerations on Inferentia (NeuronCore-v1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#requirements\">\n Requirements\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#installation\">\n Installation\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiling-an-r-cnn-for-inf1\">\n Compiling an R-CNN for Inf1\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#create-a-detectron2-r-cnn-model\">\n Create a Detectron2 R-CNN Model\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#profile-the-model\">\n Profile the Model\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiling-the-resnet-backbone-to-inf1\">\n Compiling the ResNet backbone to Inf1\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#optimize-the-r-cnn-model\">\n Optimize the R-CNN model\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiling-the-rpn\">\n Compiling the RPN\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#fusing-the-backbone-and-rpn-head\">\n Fusing the Backbone and RPN Head\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiling-the-roi-heads\">\n Compiling the RoI Heads\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#end-to-end-compilation-and-inference\">\n End-to-end Compilation and Inference\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#benchmarking\">\n Benchmarking\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#other-improvements\">\n Other improvements\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#for-latency-sensitive-applications\">\n For latency sensitive applications:\n </a>\n </li>\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#for-throughput-sensitive-applications\">\n For throughput sensitive applications:\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n\n </nav>\n</div>\n </div>\n <div class=\"article row\">\n <div class=\"col pl-md-3 pl-lg-5 content-container\">\n <!-- Table of contents that is only displayed when printing the page -->\n <div id=\"jb-print-docs-body\" class=\"onlyprint\">\n <h1>Running R-CNNs on Inf1</h1>\n <!-- Table of contents -->\n <div id=\"print-main-content\">\n <div id=\"jb-print-toc\">\n \n <div>\n <h2> Contents </h2>\n </div>\n <nav aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#r-cnn-model-overview\">\n R-CNN Model Overview\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#r-cnn-limitations-and-considerations-on-inferentia-neuroncore-v1\">\n R-CNN Limitations and Considerations on Inferentia (NeuronCore-v1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#requirements\">\n Requirements\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#installation\">\n Installation\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiling-an-r-cnn-for-inf1\">\n Compiling an R-CNN for Inf1\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#create-a-detectron2-r-cnn-model\">\n Create a Detectron2 R-CNN Model\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#profile-the-model\">\n Profile the Model\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiling-the-resnet-backbone-to-inf1\">\n Compiling the ResNet backbone to Inf1\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#optimize-the-r-cnn-model\">\n Optimize the R-CNN model\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiling-the-rpn\">\n Compiling the RPN\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#fusing-the-backbone-and-rpn-head\">\n Fusing the Backbone and RPN Head\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiling-the-roi-heads\">\n Compiling the RoI Heads\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#end-to-end-compilation-and-inference\">\n End-to-end Compilation and Inference\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#benchmarking\">\n Benchmarking\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#other-improvements\">\n Other improvements\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#for-latency-sensitive-applications\">\n For latency sensitive applications:\n </a>\n </li>\n <li class=\"toc-h4 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#for-throughput-sensitive-applications\">\n For throughput sensitive applications:\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n\n </nav>\n </div>\n </div>\n </div>\n <main id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code></p>\n<div class=\"section\" id=\"running-r-cnns-on-inf1\">\n<span id=\"torch-neuron-r-cnn-app-note\"></span><h1>Running R-CNNs on Inf1<a class=\"headerlink\" href=\"#running-r-cnns-on-inf1\" title=\"Permalink to this headline\">#</a></h1>\n<p>This application note demonstrates how to compile and run\n<a class=\"reference external\" href=\"https://github.com/facebookresearch/detectron2\">Detectron2</a>-based\nR-CNNs on Inf1. It also provides guidance on how to use profiling to\nimprove the performance of R-CNN models on Inf1.</p>\n<div class=\"contents local topic\" id=\"table-of-contents\">\n<p class=\"topic-title\">Table of contents</p>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"#r-cnn-model-overview\" id=\"id1\">R-CNN Model Overview</a></p>\n<ul>\n<li><p><a class=\"reference internal\" href=\"#r-cnn-limitations-and-considerations-on-inferentia-neuroncore-v1\" id=\"id2\">R-CNN Limitations and Considerations on Inferentia (NeuronCore-v1)</a></p></li>\n</ul>\n</li>\n<li><p><a class=\"reference internal\" href=\"#requirements\" id=\"id3\">Requirements</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#installation\" id=\"id4\">Installation</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#compiling-an-r-cnn-for-inf1\" id=\"id5\">Compiling an R-CNN for Inf1</a></p>\n<ul>\n<li><p><a class=\"reference internal\" href=\"#create-a-detectron2-r-cnn-model\" id=\"id6\">Create a Detectron2 R-CNN Model</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#profile-the-model\" id=\"id7\">Profile the Model</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#compiling-the-resnet-backbone-to-inf1\" id=\"id8\">Compiling the ResNet backbone to Inf1</a></p></li>\n</ul>\n</li>\n<li><p><a class=\"reference internal\" href=\"#optimize-the-r-cnn-model\" id=\"id9\">Optimize the R-CNN model</a></p>\n<ul>\n<li><p><a class=\"reference internal\" href=\"#compiling-the-rpn\" id=\"id10\">Compiling the RPN</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#fusing-the-backbone-and-rpn-head\" id=\"id11\">Fusing the Backbone and RPN Head</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#compiling-the-roi-heads\" id=\"id12\">Compiling the RoI Heads</a></p></li>\n</ul>\n</li>\n<li><p><a class=\"reference internal\" href=\"#end-to-end-compilation-and-inference\" id=\"id13\">End-to-end Compilation and Inference</a></p>\n<ul>\n<li><p><a class=\"reference internal\" href=\"#benchmarking\" id=\"id14\">Benchmarking</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#other-improvements\" id=\"id15\">Other improvements</a></p>\n<ul>\n<li><p><a class=\"reference internal\" href=\"#for-latency-sensitive-applications\" id=\"id16\">For latency sensitive applications:</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#for-throughput-sensitive-applications\" id=\"id17\">For throughput sensitive applications:</a></p></li>\n</ul>\n</li>\n</ul>\n</li>\n</ul>\n</div>\n<div class=\"section\" id=\"r-cnn-model-overview\">\n<h2><a class=\"toc-backref\" href=\"#id1\">R-CNN Model Overview</a><a class=\"headerlink\" href=\"#r-cnn-model-overview\" title=\"Permalink to this headline\">#</a></h2>\n<p>Region-based CNN (R-CNN) models are commonly used for object detection\nand image segmentation tasks. A typical R-CNN architecture is composed\nof the following components:</p>\n<ul class=\"simple\">\n<li><p><strong>Backbone:</strong> The backbone extracts features from input images. In\nsome models, the backbone is a Feature Pyramid Network (FPN), which\nuses a top-down architecture with lateral connections to build an\nin-network feature pyramid from a single-scale input. The backbone is\ncommonly a ResNet or Vision Transformer based network.</p></li>\n<li><p><strong>Region Proposal Network (RPN):</strong> The RPN predicts region proposals\nwith a wide range of scales and aspect ratios. RPNs are constructed\nusing convolutional layers and anchor boxes that serve as references\nfor multiple scales and aspect ratios.</p></li>\n<li><p><strong>Region of Interest (RoI):</strong> The RoI component is used to resize the\nextracted features that have varying size to the same size so that\nthey can be consumed by a fully connected layer. RoI Align is\ntypically used instead of RoI Pooling because RoI Align provides\nbetter alignment.</p></li>\n</ul>\n<p>The <a class=\"reference external\" href=\"https://github.com/facebookresearch/detectron2\">Detectron2</a>\nlibrary provides many popular PyTorch R-CNN implementations, including\nR-CNN, Fast R-CNN, Faster R-CNN, and Mask R-CNN. This application note will\nfocus on the Detectron2 R-CNN models.</p>\n<div class=\"section\" id=\"r-cnn-limitations-and-considerations-on-inferentia-neuroncore-v1\">\n<h3><a class=\"toc-backref\" href=\"#id2\">R-CNN Limitations and Considerations on Inferentia (NeuronCore-v1)</a><a class=\"headerlink\" href=\"#r-cnn-limitations-and-considerations-on-inferentia-neuroncore-v1\" title=\"Permalink to this headline\">#</a></h3>\n<p>R-CNN models can have a few limitations and considerations on Inferentia\n(NeuronCore-v1). See the <a class=\"reference internal\" href=\"../../arch/model-architecture-fit.html#rcnn-limitations-inf1\"><span class=\"std std-ref\">Model Architecture Fit Guidelines</span></a> for more information. These limitatins are not\napplicable to NeuronCore-v2.</p>\n</div>\n</div>\n<div class=\"section\" id=\"requirements\">\n<h2><a class=\"toc-backref\" href=\"#id3\">Requirements</a><a class=\"headerlink\" href=\"#requirements\" title=\"Permalink to this headline\">#</a></h2>\n<p>This application note is intended to be run on an <code class=\"docutils literal notranslate\"><span class=\"pre\">inf1.2xlarge</span></code>. In practice,\nR-CNN models can be run on any Inf1 instance size.</p>\n<p>Verify that this Jupyter notebook is running the Python kernel\nenvironment that was set up according to the <a class=\"reference external\" href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/latest/frameworks/torch/torch-neuron/setup/pytorch-install.html\">PyTorch Installation\nGuide</a>.\nYou can select the kernel from the “Kernel -> Change Kernel” option on\nthe top of this Jupyter notebook page.</p>\n</div>\n<div class=\"section\" id=\"installation\">\n<h2><a class=\"toc-backref\" href=\"#id4\">Installation</a><a class=\"headerlink\" href=\"#installation\" title=\"Permalink to this headline\">#</a></h2>\n<p>This application note requires the following pip packages:</p>\n<ol class=\"arabic simple\">\n<li><p><code class=\"docutils literal notranslate\"><span class=\"pre\">torch==1.11.0</span></code></p></li>\n<li><p><code class=\"docutils literal notranslate\"><span class=\"pre\">torch-neuron</span></code></p></li>\n<li><p><code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-cc</span></code></p></li>\n<li><p><code class=\"docutils literal notranslate\"><span class=\"pre\">opencv-python</span></code></p></li>\n<li><p><code class=\"docutils literal notranslate\"><span class=\"pre\">pycocotools</span></code></p></li>\n<li><p><code class=\"docutils literal notranslate\"><span class=\"pre\">torchvision==0.12.0</span></code></p></li>\n<li><p><code class=\"docutils literal notranslate\"><span class=\"pre\">detectron2==0.6</span></code></p></li>\n</ol>\n<p>The following section builds <code class=\"docutils literal notranslate\"><span class=\"pre\">torchvision</span></code> from source and installs\nthe <code class=\"docutils literal notranslate\"><span class=\"pre\">Detectron2</span></code> package. It also reinstalls the Neuron packages to ensure\nversion compability.</p>\n<p>The the <code class=\"docutils literal notranslate\"><span class=\"pre\">torchvision</span></code> <code class=\"docutils literal notranslate\"><span class=\"pre\">roi_align_kernel.cpp</span></code> kernel is modified to\nuse OMP threading for multithreaded inference on CPU. This significantly\nimproves the performance of RoI Align kernels on Inf1: OMP threading\nleads to a 2 - 3x RoI Align latency reduction compared to the default\n<code class=\"docutils literal notranslate\"><span class=\"pre\">roi_align_kernel.cpp</span></code> kernel configuration.</p>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Install python3.7-dev for pycocotools (a Detectron2 dependency)</span>\n<span class=\"o\">!</span>sudo<span class=\"w\"> </span>apt<span class=\"w\"> </span>install<span class=\"w\"> </span>python3.7-dev<span class=\"w\"> </span>-y\n\n<span class=\"c1\"># Install Neuron packages</span>\n<span class=\"o\">!</span>pip<span class=\"w\"> </span>config<span class=\"w\"> </span><span class=\"nb\">set</span><span class=\"w\"> </span>global.extra-index-url<span class=\"w\"> </span>https://pip.repos.neuron.amazonaws.com\n<span class=\"o\">!</span>pip<span class=\"w\"> </span>uninstall<span class=\"w\"> </span>-y<span class=\"w\"> </span>torchvision\n<span class=\"o\">!</span>pip<span class=\"w\"> </span>install<span class=\"w\"> </span>--force-reinstall<span class=\"w\"> </span>torch-neuron<span class=\"o\">==</span><span class=\"m\">1</span>.11.0.*<span class=\"w\"> </span>neuron-cc<span class=\"o\">[</span>tensorflow<span class=\"o\">]</span><span class=\"w\"> </span><span class=\"s2\">\"protobuf==3.20.1\"</span><span class=\"w\"> </span>ninja<span class=\"w\"> </span>opencv-python\n\n<span class=\"c1\"># Change cuda to 10.2 for Detectron2</span>\n<span class=\"o\">!</span>sudo<span class=\"w\"> </span>rm<span class=\"w\"> </span>/usr/local/cuda\n<span class=\"o\">!</span>sudo<span class=\"w\"> </span>ln<span class=\"w\"> </span>-s<span class=\"w\"> </span>/usr/local/cuda-10.2<span class=\"w\"> </span>/usr/local/cuda\n\n<span class=\"c1\"># Install Torchvision 0.12.0 from source</span>\n<span class=\"o\">!</span>git<span class=\"w\"> </span>clone<span class=\"w\"> </span>-b<span class=\"w\"> </span>release/0.12<span class=\"w\"> </span>https://github.com/pytorch/vision.git\n\n<span class=\"c1\"># Update the RoI Align kernel to use OMP multithreading</span>\n<span class=\"k\">with</span> <span class=\"nb\">open</span><span class=\"p\">(</span><span class=\"s1\">'vision/torchvision/csrc/ops/cpu/roi_align_kernel.cpp'</span><span class=\"p\">,</span> <span class=\"s1\">'r'</span><span class=\"p\">)</span> <span class=\"k\">as</span> <span class=\"n\">file</span><span class=\"p\">:</span>\n <span class=\"n\">content</span> <span class=\"o\">=</span> <span class=\"n\">file</span><span class=\"o\">.</span><span class=\"n\">read</span><span class=\"p\">()</span>\n\n<span class=\"c1\"># Enable OMP Multithreading and set the number of threads to 4</span>\n<span class=\"n\">old</span> <span class=\"o\">=</span> <span class=\"s2\">\"// #pragma omp parallel for num_threads(32)\"</span>\n<span class=\"n\">new</span> <span class=\"o\">=</span> <span class=\"s2\">\"#pragma omp parallel for num_threads(4)\"</span>\n<span class=\"n\">content</span> <span class=\"o\">=</span> <span class=\"n\">content</span><span class=\"o\">.</span><span class=\"n\">replace</span><span class=\"p\">(</span><span class=\"n\">old</span><span class=\"p\">,</span> <span class=\"n\">new</span><span class=\"p\">)</span>\n\n<span class=\"c1\"># Re-write the file</span>\n<span class=\"k\">with</span> <span class=\"nb\">open</span><span class=\"p\">(</span><span class=\"s1\">'vision/torchvision/csrc/ops/cpu/roi_align_kernel.cpp'</span><span class=\"p\">,</span> <span class=\"s1\">'w'</span><span class=\"p\">)</span> <span class=\"k\">as</span> <span class=\"n\">file</span><span class=\"p\">:</span>\n <span class=\"n\">file</span><span class=\"o\">.</span><span class=\"n\">write</span><span class=\"p\">(</span><span class=\"n\">content</span><span class=\"p\">)</span>\n\n<span class=\"c1\"># Build Torchvision with OMP threading</span>\n<span class=\"o\">!</span><span class=\"nb\">cd</span><span class=\"w\"> </span>vision<span class=\"w\"> </span><span class=\"o\">&&</span><span class=\"w\"> </span><span class=\"nv\">CFLAGS</span><span class=\"o\">=</span><span class=\"s2\">\"-fopenmp\"</span><span class=\"w\"> </span>python<span class=\"w\"> </span>setup.py<span class=\"w\"> </span>bdist_wheel\n<span class=\"o\">%</span><span class=\"k\">pip</span> install vision/dist/*.whl\n\n<span class=\"c1\"># Install Detectron2 release v0.6</span>\n<span class=\"o\">!</span>python<span class=\"w\"> </span>-m<span class=\"w\"> </span>pip<span class=\"w\"> </span>install<span class=\"w\"> </span><span class=\"s1\">'git+https://github.com/facebookresearch/detectron2.git@v0.6'</span>\n</pre></div>\n</div>\n</div>\n<div class=\"section\" id=\"compiling-an-r-cnn-for-inf1\">\n<h2><a class=\"toc-backref\" href=\"#id5\">Compiling an R-CNN for Inf1</a><a class=\"headerlink\" href=\"#compiling-an-r-cnn-for-inf1\" title=\"Permalink to this headline\">#</a></h2>\n<p>By default, R-CNN models are not compilable on Inf1 because they cannot\nbe traced with <code class=\"docutils literal notranslate\"><span class=\"pre\">torch.jit.trace</span></code>, which is a requisite for inference\non Inf1. The following section demonstrates techniques for compiling a\nDetectron2 R-CNN model for inference on Inf1.</p>\n<p>Specifically, this section creates a standard Detectron2 R-CNN model\nusing a ResNet-101 backbone. It demonstrates how to use profiling to\nidentify the most compute intensive parts of the R-CNN that should be\ncompiled for accelerated inference on Inf1. It then explains how to\nmanually extract and compile the ResNet backbone (the dominant compute\ncomponent) and inject the compiled backbone back into the full model for\nimproved performance.</p>\n<div class=\"section\" id=\"create-a-detectron2-r-cnn-model\">\n<h3><a class=\"toc-backref\" href=\"#id6\">Create a Detectron2 R-CNN Model</a><a class=\"headerlink\" href=\"#create-a-detectron2-r-cnn-model\" title=\"Permalink to this headline\">#</a></h3>\n<p>We create a Detectron2 R-CNN model using the\n<code class=\"docutils literal notranslate\"><span class=\"pre\">COCO-Detection/faster_rcnn_R_101_FPN_3x.yaml</span></code> pretrained weights and\nconfig file. We also download a sample image from the COCO dataset and\nrun an example inference.</p>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"kn\">from</span> <span class=\"nn\">detectron2</span> <span class=\"kn\">import</span> <span class=\"n\">model_zoo</span>\n<span class=\"kn\">from</span> <span class=\"nn\">detectron2.engine</span> <span class=\"kn\">import</span> <span class=\"n\">DefaultPredictor</span>\n<span class=\"kn\">from</span> <span class=\"nn\">detectron2.config</span> <span class=\"kn\">import</span> <span class=\"n\">get_cfg</span>\n\n<span class=\"k\">def</span> <span class=\"nf\">get_model</span><span class=\"p\">():</span>\n\n <span class=\"c1\"># Configure the R-CNN model</span>\n <span class=\"n\">CONFIG_FILE</span> <span class=\"o\">=</span> <span class=\"s2\">\"COCO-Detection/faster_rcnn_R_101_FPN_3x.yaml\"</span>\n <span class=\"n\">WEIGHTS_FILE</span> <span class=\"o\">=</span> <span class=\"s2\">\"COCO-Detection/faster_rcnn_R_101_FPN_3x.yaml\"</span>\n <span class=\"n\">cfg</span> <span class=\"o\">=</span> <span class=\"n\">get_cfg</span><span class=\"p\">()</span>\n <span class=\"n\">cfg</span><span class=\"o\">.</span><span class=\"n\">merge_from_file</span><span class=\"p\">(</span><span class=\"n\">model_zoo</span><span class=\"o\">.</span><span class=\"n\">get_config_file</span><span class=\"p\">(</span><span class=\"n\">CONFIG_FILE</span><span class=\"p\">))</span>\n <span class=\"n\">cfg</span><span class=\"o\">.</span><span class=\"n\">MODEL</span><span class=\"o\">.</span><span class=\"n\">WEIGHTS</span> <span class=\"o\">=</span> <span class=\"n\">model_zoo</span><span class=\"o\">.</span><span class=\"n\">get_checkpoint_url</span><span class=\"p\">(</span><span class=\"n\">WEIGHTS_FILE</span><span class=\"p\">)</span>\n <span class=\"n\">cfg</span><span class=\"o\">.</span><span class=\"n\">MODEL</span><span class=\"o\">.</span><span class=\"n\">ROI_HEADS</span><span class=\"o\">.</span><span class=\"n\">SCORE_THRESH_TEST</span> <span class=\"o\">=</span> <span class=\"mf\">0.5</span>\n <span class=\"n\">cfg</span><span class=\"o\">.</span><span class=\"n\">MODEL</span><span class=\"o\">.</span><span class=\"n\">DEVICE</span> <span class=\"o\">=</span> <span class=\"s1\">'cpu'</span> <span class=\"c1\"># Send to CPU for Neuron Tracing</span>\n\n <span class=\"c1\"># Create the R-CNN predictor wrapper</span>\n <span class=\"n\">predictor</span> <span class=\"o\">=</span> <span class=\"n\">DefaultPredictor</span><span class=\"p\">(</span><span class=\"n\">cfg</span><span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"n\">predictor</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"kn\">import</span> <span class=\"nn\">os</span>\n<span class=\"kn\">import</span> <span class=\"nn\">urllib.request</span>\n\n<span class=\"c1\"># Define a function to get a sample image</span>\n<span class=\"k\">def</span> <span class=\"nf\">get_image</span><span class=\"p\">():</span>\n <span class=\"n\">filename</span> <span class=\"o\">=</span> <span class=\"s1\">'input.jpg'</span>\n <span class=\"k\">if</span> <span class=\"ow\">not</span> <span class=\"n\">os</span><span class=\"o\">.</span><span class=\"n\">path</span><span class=\"o\">.</span><span class=\"n\">exists</span><span class=\"p\">(</span><span class=\"n\">filename</span><span class=\"p\">):</span>\n <span class=\"n\">url</span> <span class=\"o\">=</span> <span class=\"s2\">\"http://images.cocodataset.org/val2017/000000439715.jpg\"</span>\n <span class=\"n\">urllib</span><span class=\"o\">.</span><span class=\"n\">request</span><span class=\"o\">.</span><span class=\"n\">urlretrieve</span><span class=\"p\">(</span><span class=\"n\">url</span><span class=\"p\">,</span> <span class=\"n\">filename</span><span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"n\">filename</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"kn\">import</span> <span class=\"nn\">time</span>\n<span class=\"kn\">import</span> <span class=\"nn\">cv2</span>\n\n<span class=\"c1\"># Create an R-CNN model</span>\n<span class=\"n\">predictor</span> <span class=\"o\">=</span> <span class=\"n\">get_model</span><span class=\"p\">()</span>\n\n<span class=\"c1\"># Get a sample image from the COCO dataset</span>\n<span class=\"n\">image_filename</span> <span class=\"o\">=</span> <span class=\"n\">get_image</span><span class=\"p\">()</span>\n<span class=\"n\">image</span> <span class=\"o\">=</span> <span class=\"n\">cv2</span><span class=\"o\">.</span><span class=\"n\">imread</span><span class=\"p\">(</span><span class=\"n\">image_filename</span><span class=\"p\">)</span>\n\n<span class=\"c1\"># Run inference and print inference latency</span>\n<span class=\"n\">start</span> <span class=\"o\">=</span> <span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span>\n<span class=\"n\">outputs</span> <span class=\"o\">=</span> <span class=\"n\">predictor</span><span class=\"p\">(</span><span class=\"n\">image</span><span class=\"p\">)</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"sa\">f</span><span class=\"s1\">'Inference time: </span><span class=\"si\">{</span><span class=\"p\">(</span><span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"n\">start</span><span class=\"p\">)</span><span class=\"si\">:</span><span class=\"s1\">0.3f</span><span class=\"si\">}</span><span class=\"s1\"> s'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n</div>\n<div class=\"section\" id=\"profile-the-model\">\n<h3><a class=\"toc-backref\" href=\"#id7\">Profile the Model</a><a class=\"headerlink\" href=\"#profile-the-model\" title=\"Permalink to this headline\">#</a></h3>\n<p>We can use the <a class=\"reference external\" href=\"https://pytorch.org/docs/stable/profiler.html\">PyTorch\nProfiler</a> to identify\nwhich operators contribute the most to the model’s runtime on CPU.\nIdeally, we can compile these compute intensive operators onto Inf1 for\naccelerated inference.</p>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"kn\">import</span> <span class=\"nn\">torch.autograd.profiler</span> <span class=\"k\">as</span> <span class=\"nn\">profiler</span>\n\n<span class=\"k\">with</span> <span class=\"n\">profiler</span><span class=\"o\">.</span><span class=\"n\">profile</span><span class=\"p\">(</span><span class=\"n\">record_shapes</span><span class=\"o\">=</span><span class=\"kc\">True</span><span class=\"p\">)</span> <span class=\"k\">as</span> <span class=\"n\">prof</span><span class=\"p\">:</span>\n <span class=\"k\">with</span> <span class=\"n\">profiler</span><span class=\"o\">.</span><span class=\"n\">record_function</span><span class=\"p\">(</span><span class=\"s2\">\"model_inference\"</span><span class=\"p\">):</span>\n <span class=\"n\">predictor</span><span class=\"p\">(</span><span class=\"n\">image</span><span class=\"p\">)</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"n\">prof</span><span class=\"o\">.</span><span class=\"n\">key_averages</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"n\">table</span><span class=\"p\">(</span><span class=\"n\">sort_by</span><span class=\"o\">=</span><span class=\"s2\">\"cpu_time_total\"</span><span class=\"p\">,</span> <span class=\"n\">row_limit</span><span class=\"o\">=</span><span class=\"mi\">30</span><span class=\"p\">))</span>\n</pre></div>\n</div>\n<p>We see that convolution operators (<code class=\"docutils literal notranslate\"><span class=\"pre\">aten::convolution</span></code>) contribute the\nmost to the inference time. By compiling these convolution operators to\nInf1, we can improve performance of the R-CNN model. We can print the\nR-CNN model architecture to see which layers contain the\n<code class=\"docutils literal notranslate\"><span class=\"pre\">aten::convolution</span></code> operators:</p>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<p>We observe that the ResNet FPN backbone\n(<a class=\"reference external\" href=\"https://github.com/facebookresearch/detectron2/blob/v0.6/detectron2/modeling/backbone/fpn.py\">predictor.model.backbone</a> L17-L162)\ncontains the majority of convolution operators in the model. The RPN\n(<a class=\"reference external\" href=\"https://github.com/facebookresearch/detectron2/blob/v0.6/detectron2/modeling/proposal_generator/rpn.py\">predictor.model.proposal_generator</a> L181-L533)\nalso contains a few convolutions. Based on this, we should try to\ncompile the ResNet backbone and RPN onto Inf1 to maximize performance.</p>\n</div>\n<div class=\"section\" id=\"compiling-the-resnet-backbone-to-inf1\">\n<h3><a class=\"toc-backref\" href=\"#id8\">Compiling the ResNet backbone to Inf1</a><a class=\"headerlink\" href=\"#compiling-the-resnet-backbone-to-inf1\" title=\"Permalink to this headline\">#</a></h3>\n<p>In this section we demonstrate how to compile the ResNet backbone to\nInf1 and use it for inference.</p>\n<p>We “extract” the backbone by accessing it using\n<code class=\"docutils literal notranslate\"><span class=\"pre\">predictor.model.backbone</span></code>. We compile the backbone using\n<code class=\"docutils literal notranslate\"><span class=\"pre\">strict=False</span></code> because the backbone outputs a dictionary. We use a\nfixed input shape (<code class=\"docutils literal notranslate\"><span class=\"pre\">800</span> <span class=\"pre\">x</span> <span class=\"pre\">800</span></code>) for compilation. This will be the\ninput shape that all inputs will be resized to during inference. This\nsection also defines a basic preprocessing function (mostly derived from\nthe Detectron2 R-CNN\n<a class=\"reference external\" href=\"https://github.com/facebookresearch/detectron2/blob/45b3fcea6e76bf7a351e54e01c7d6e1a3a0100a5/detectron2/engine/defaults.py\">DefaultPredictor</a>\nmodule L308-L318) that reshapes inputs to <code class=\"docutils literal notranslate\"><span class=\"pre\">800</span> <span class=\"pre\">x</span> <span class=\"pre\">800</span></code>.</p>\n<p>We also create a <code class=\"docutils literal notranslate\"><span class=\"pre\">NeuronRCNN</span></code> wrapper that we use to inject the\ncompiled backbone back into the model by dynamically replacing the\n<code class=\"docutils literal notranslate\"><span class=\"pre\">predictor.model.backbone</span></code> attribute with the compiled model.</p>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"kn\">import</span> <span class=\"nn\">torch</span>\n<span class=\"kn\">import</span> <span class=\"nn\">torch_neuron</span>\n\n<span class=\"n\">example</span> <span class=\"o\">=</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">rand</span><span class=\"p\">([</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"mi\">3</span><span class=\"p\">,</span> <span class=\"mi\">800</span><span class=\"p\">,</span> <span class=\"mi\">800</span><span class=\"p\">])</span>\n\n<span class=\"c1\"># Use `with torch.no_grad():` to avoid a jit tracing issue in the ResNet backbone</span>\n<span class=\"k\">with</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">no_grad</span><span class=\"p\">():</span>\n <span class=\"n\">neuron_backbone</span> <span class=\"o\">=</span> <span class=\"n\">torch_neuron</span><span class=\"o\">.</span><span class=\"n\">trace</span><span class=\"p\">(</span><span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">backbone</span><span class=\"p\">,</span> <span class=\"n\">example</span><span class=\"p\">,</span> <span class=\"n\">strict</span><span class=\"o\">=</span><span class=\"kc\">False</span><span class=\"p\">)</span>\n\n<span class=\"n\">backbone_filename</span> <span class=\"o\">=</span> <span class=\"s1\">'backbone.pt'</span>\n<span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">jit</span><span class=\"o\">.</span><span class=\"n\">save</span><span class=\"p\">(</span><span class=\"n\">neuron_backbone</span><span class=\"p\">,</span> <span class=\"n\">backbone_filename</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"kn\">from</span> <span class=\"nn\">detectron2.modeling.meta_arch.rcnn</span> <span class=\"kn\">import</span> <span class=\"n\">GeneralizedRCNN</span>\n<span class=\"kn\">from</span> <span class=\"nn\">torch.jit</span> <span class=\"kn\">import</span> <span class=\"n\">ScriptModule</span>\n\n<span class=\"k\">class</span> <span class=\"nc\">NeuronRCNN</span><span class=\"p\">(</span><span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Creates a `NeuronRCNN` wrapper that injects the compiled backbone into</span>\n<span class=\"sd\"> the R-CNN model. It also stores the `size_divisibility` attribute from</span>\n<span class=\"sd\"> the original backbone.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">GeneralizedRCNN</span><span class=\"p\">,</span> <span class=\"n\">neuron_backbone</span><span class=\"p\">:</span> <span class=\"n\">ScriptModule</span><span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"kc\">None</span><span class=\"p\">:</span>\n <span class=\"nb\">super</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"fm\">__init__</span><span class=\"p\">()</span>\n\n <span class=\"c1\"># Keep track of the backbone variables</span>\n <span class=\"n\">size_divisibility</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">backbone</span><span class=\"o\">.</span><span class=\"n\">size_divisibility</span>\n\n <span class=\"c1\"># Load and inject the compiled backbone</span>\n <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">backbone</span> <span class=\"o\">=</span> <span class=\"n\">neuron_backbone</span>\n\n <span class=\"c1\"># Set backbone variables</span>\n <span class=\"nb\">setattr</span><span class=\"p\">(</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">backbone</span><span class=\"p\">,</span> <span class=\"s1\">'size_divisibility'</span><span class=\"p\">,</span> <span class=\"n\">size_divisibility</span><span class=\"p\">)</span>\n\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">model</span> <span class=\"o\">=</span> <span class=\"n\">model</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">forward</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">x</span><span class=\"p\">):</span>\n <span class=\"k\">return</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"p\">(</span><span class=\"n\">x</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Create the R-CNN with the compiled backbone</span>\n<span class=\"n\">neuron_rcnn</span> <span class=\"o\">=</span> <span class=\"n\">NeuronRCNN</span><span class=\"p\">(</span><span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"p\">,</span> <span class=\"n\">neuron_backbone</span><span class=\"p\">)</span>\n<span class=\"n\">neuron_rcnn</span><span class=\"o\">.</span><span class=\"n\">eval</span><span class=\"p\">()</span>\n\n<span class=\"c1\"># Print the R-CNN architecture to verify the backbone is now the</span>\n<span class=\"c1\"># `neuron_backbone` (shows up as `RecursiveScriptModule`)</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"n\">neuron_rcnn</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"k\">def</span> <span class=\"nf\">preprocess</span><span class=\"p\">(</span><span class=\"n\">original_image</span><span class=\"p\">,</span> <span class=\"n\">predictor</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> A basic preprocessing function that sets the input height=800 and</span>\n<span class=\"sd\"> input width=800. The function is derived from the preprocessing</span>\n<span class=\"sd\"> steps in the Detectron2 `DefaultPredictor` module.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"n\">height</span><span class=\"p\">,</span> <span class=\"n\">width</span> <span class=\"o\">=</span> <span class=\"n\">original_image</span><span class=\"o\">.</span><span class=\"n\">shape</span><span class=\"p\">[:</span><span class=\"mi\">2</span><span class=\"p\">]</span>\n <span class=\"n\">resize_func</span> <span class=\"o\">=</span> <span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">aug</span><span class=\"o\">.</span><span class=\"n\">get_transform</span><span class=\"p\">(</span><span class=\"n\">original_image</span><span class=\"p\">)</span>\n <span class=\"n\">resize_func</span><span class=\"o\">.</span><span class=\"n\">new_h</span> <span class=\"o\">=</span> <span class=\"mi\">800</span> <span class=\"c1\"># Override height</span>\n <span class=\"n\">resize_func</span><span class=\"o\">.</span><span class=\"n\">new_w</span> <span class=\"o\">=</span> <span class=\"mi\">800</span> <span class=\"c1\"># Override width</span>\n <span class=\"n\">image</span> <span class=\"o\">=</span> <span class=\"n\">resize_func</span><span class=\"o\">.</span><span class=\"n\">apply_image</span><span class=\"p\">(</span><span class=\"n\">original_image</span><span class=\"p\">)</span>\n <span class=\"n\">image</span> <span class=\"o\">=</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">as_tensor</span><span class=\"p\">(</span><span class=\"n\">image</span><span class=\"o\">.</span><span class=\"n\">astype</span><span class=\"p\">(</span><span class=\"s2\">\"float32\"</span><span class=\"p\">)</span><span class=\"o\">.</span><span class=\"n\">transpose</span><span class=\"p\">(</span><span class=\"mi\">2</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"mi\">1</span><span class=\"p\">))</span>\n <span class=\"n\">inputs</span> <span class=\"o\">=</span> <span class=\"p\">{</span><span class=\"s2\">\"image\"</span><span class=\"p\">:</span> <span class=\"n\">image</span><span class=\"p\">,</span> <span class=\"s2\">\"height\"</span><span class=\"p\">:</span> <span class=\"n\">height</span><span class=\"p\">,</span> <span class=\"s2\">\"width\"</span><span class=\"p\">:</span> <span class=\"n\">width</span><span class=\"p\">}</span>\n <span class=\"k\">return</span> <span class=\"n\">inputs</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Get a resized input using the sample image</span>\n<span class=\"n\">inputs</span> <span class=\"o\">=</span> <span class=\"n\">preprocess</span><span class=\"p\">(</span><span class=\"n\">image</span><span class=\"p\">,</span> <span class=\"n\">get_model</span><span class=\"p\">())</span>\n\n<span class=\"c1\"># Run inference and print inference latency</span>\n<span class=\"n\">start</span> <span class=\"o\">=</span> <span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span>\n<span class=\"k\">for</span> <span class=\"n\">_</span> <span class=\"ow\">in</span> <span class=\"nb\">range</span><span class=\"p\">(</span><span class=\"mi\">10</span><span class=\"p\">):</span>\n <span class=\"n\">outputs</span> <span class=\"o\">=</span> <span class=\"n\">neuron_rcnn</span><span class=\"p\">([</span><span class=\"n\">inputs</span><span class=\"p\">])[</span><span class=\"mi\">0</span><span class=\"p\">]</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"sa\">f</span><span class=\"s1\">'Inference time: </span><span class=\"si\">{</span><span class=\"p\">((</span><span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"n\">start</span><span class=\"p\">)</span><span class=\"o\">/</span><span class=\"mi\">10</span><span class=\"p\">)</span><span class=\"si\">:</span><span class=\"s1\">0.3f</span><span class=\"si\">}</span><span class=\"s1\"> s'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"k\">with</span> <span class=\"n\">profiler</span><span class=\"o\">.</span><span class=\"n\">profile</span><span class=\"p\">(</span><span class=\"n\">record_shapes</span><span class=\"o\">=</span><span class=\"kc\">True</span><span class=\"p\">)</span> <span class=\"k\">as</span> <span class=\"n\">prof</span><span class=\"p\">:</span>\n <span class=\"k\">with</span> <span class=\"n\">profiler</span><span class=\"o\">.</span><span class=\"n\">record_function</span><span class=\"p\">(</span><span class=\"s2\">\"model_inference\"</span><span class=\"p\">):</span>\n <span class=\"n\">neuron_rcnn</span><span class=\"p\">([</span><span class=\"n\">inputs</span><span class=\"p\">])</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"n\">prof</span><span class=\"o\">.</span><span class=\"n\">key_averages</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"n\">table</span><span class=\"p\">(</span><span class=\"n\">sort_by</span><span class=\"o\">=</span><span class=\"s2\">\"cpu_time_total\"</span><span class=\"p\">,</span> <span class=\"n\">row_limit</span><span class=\"o\">=</span><span class=\"mi\">30</span><span class=\"p\">))</span>\n</pre></div>\n</div>\n<p>By running the backbone on Inf1, the overall runtime is already\nsignificantly improved. The count and runtime of <code class=\"docutils literal notranslate\"><span class=\"pre\">aten::convolution</span></code>\noperators is also decreased. We now see a <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron::forward_v2</span></code>\noperator which is the compiled backbone.</p>\n</div>\n</div>\n<div class=\"section\" id=\"optimize-the-r-cnn-model\">\n<h2><a class=\"toc-backref\" href=\"#id9\">Optimize the R-CNN model</a><a class=\"headerlink\" href=\"#optimize-the-r-cnn-model\" title=\"Permalink to this headline\">#</a></h2>\n<div class=\"section\" id=\"compiling-the-rpn\">\n<h3><a class=\"toc-backref\" href=\"#id10\">Compiling the RPN</a><a class=\"headerlink\" href=\"#compiling-the-rpn\" title=\"Permalink to this headline\">#</a></h3>\n<p>Looking at the profiling, we see that there are still several\n<code class=\"docutils literal notranslate\"><span class=\"pre\">aten::convolution</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">aten::linear</span></code>, and <code class=\"docutils literal notranslate\"><span class=\"pre\">aten::addmm</span></code> operators\nthat significantly contribute to the model’s overall latency. By\ninspecting the model architecture and code, we can determine that the\nmajority of these operators are contained in the RPN module\n(<a class=\"reference external\" href=\"https://github.com/facebookresearch/detectron2/blob/v0.6/detectron2/modeling/proposal_generator/rpn.py\">predictor.model.proposal_generator</a> L181-L533).</p>\n<p>To improve the model performance, we will extract the RPN Head and\ncompile it on Inf1 to increase the number of operators that are running\non Inf1. We only compile the RPN Head because the RPN Anchor Generator\ncontains objects that are not traceable with <code class=\"docutils literal notranslate\"><span class=\"pre\">torch.jit.trace</span></code>.</p>\n<p>The RPN Head contains five layers that run inference on multiple resized\ninputs. In order to compile the RPN Head, we create a list of tensors\nthat contain the input (“<code class=\"docutils literal notranslate\"><span class=\"pre\">features</span></code>”) shapes that the RPN Head uses at\neach layer. These tensor shapes can be determined by printing the input\nshapes in the RPN Head <code class=\"docutils literal notranslate\"><span class=\"pre\">forward</span></code> function\n(<code class=\"docutils literal notranslate\"><span class=\"pre\">predictor.model.proposal_generator.rpn_head.forward</span></code>).</p>\n<p>We also create a new <code class=\"docutils literal notranslate\"><span class=\"pre\">NeuronRCNN</span></code> wrapper that injects both the\ncompiled backbone and RPN Head into the R-CNN model.</p>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"kn\">import</span> <span class=\"nn\">math</span>\n\n<span class=\"n\">input_shape</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"mi\">3</span><span class=\"p\">,</span> <span class=\"mi\">800</span><span class=\"p\">,</span> <span class=\"mi\">800</span><span class=\"p\">]</span> <span class=\"c1\"># Overall input shape at inference time</span>\n\n<span class=\"c1\"># Create the list example of RPN inputs using the resizing logic from the RPN Head</span>\n<span class=\"n\">features</span> <span class=\"o\">=</span> <span class=\"nb\">list</span><span class=\"p\">()</span>\n<span class=\"k\">for</span> <span class=\"n\">i</span> <span class=\"ow\">in</span> <span class=\"p\">[</span><span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"mi\">2</span><span class=\"p\">,</span> <span class=\"mi\">3</span><span class=\"p\">,</span> <span class=\"mi\">4</span><span class=\"p\">]:</span>\n <span class=\"n\">ratio</span> <span class=\"o\">=</span> <span class=\"mi\">1</span> <span class=\"o\">/</span> <span class=\"p\">(</span><span class=\"mi\">4</span> <span class=\"o\">*</span> <span class=\"mi\">2</span><span class=\"o\">**</span><span class=\"n\">i</span><span class=\"p\">)</span>\n <span class=\"n\">x_i_h</span> <span class=\"o\">=</span> <span class=\"n\">math</span><span class=\"o\">.</span><span class=\"n\">ceil</span><span class=\"p\">(</span><span class=\"n\">input_shape</span><span class=\"p\">[</span><span class=\"mi\">2</span><span class=\"p\">]</span> <span class=\"o\">*</span> <span class=\"n\">ratio</span><span class=\"p\">)</span>\n <span class=\"n\">x_i_w</span> <span class=\"o\">=</span> <span class=\"n\">math</span><span class=\"o\">.</span><span class=\"n\">ceil</span><span class=\"p\">(</span><span class=\"n\">input_shape</span><span class=\"p\">[</span><span class=\"mi\">3</span><span class=\"p\">]</span> <span class=\"o\">*</span> <span class=\"n\">ratio</span><span class=\"p\">)</span>\n <span class=\"n\">feature</span> <span class=\"o\">=</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">zeros</span><span class=\"p\">(</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"mi\">256</span><span class=\"p\">,</span> <span class=\"n\">x_i_h</span><span class=\"p\">,</span> <span class=\"n\">x_i_w</span><span class=\"p\">)</span>\n <span class=\"n\">features</span><span class=\"o\">.</span><span class=\"n\">append</span><span class=\"p\">(</span><span class=\"n\">feature</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Extract and compile the RPN Head</span>\n<span class=\"n\">neuron_rpn_head</span> <span class=\"o\">=</span> <span class=\"n\">torch_neuron</span><span class=\"o\">.</span><span class=\"n\">trace</span><span class=\"p\">(</span><span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">proposal_generator</span><span class=\"o\">.</span><span class=\"n\">rpn_head</span><span class=\"p\">,</span> <span class=\"p\">[</span><span class=\"n\">features</span><span class=\"p\">])</span>\n<span class=\"n\">rpn_head_filename</span> <span class=\"o\">=</span> <span class=\"s1\">'rpn_head.pt'</span>\n<span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">jit</span><span class=\"o\">.</span><span class=\"n\">save</span><span class=\"p\">(</span><span class=\"n\">neuron_rpn_head</span><span class=\"p\">,</span> <span class=\"n\">rpn_head_filename</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"k\">class</span> <span class=\"nc\">NeuronRCNN</span><span class=\"p\">(</span><span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Creates a wrapper that injects the compiled backbone and RPN Head</span>\n<span class=\"sd\"> into the R-CNN model.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">GeneralizedRCNN</span><span class=\"p\">,</span> <span class=\"n\">neuron_backbone</span><span class=\"p\">:</span> <span class=\"n\">ScriptModule</span><span class=\"p\">,</span> <span class=\"n\">neuron_rpn_head</span><span class=\"p\">:</span> <span class=\"n\">ScriptModule</span><span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"kc\">None</span><span class=\"p\">:</span>\n <span class=\"nb\">super</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"fm\">__init__</span><span class=\"p\">()</span>\n\n <span class=\"c1\"># Keep track of the backbone variables</span>\n <span class=\"n\">size_divisibility</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">backbone</span><span class=\"o\">.</span><span class=\"n\">size_divisibility</span>\n\n <span class=\"c1\"># Inject the compiled backbone</span>\n <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">backbone</span> <span class=\"o\">=</span> <span class=\"n\">neuron_backbone</span>\n\n <span class=\"c1\"># Set backbone variables</span>\n <span class=\"nb\">setattr</span><span class=\"p\">(</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">backbone</span><span class=\"p\">,</span> <span class=\"s1\">'size_divisibility'</span><span class=\"p\">,</span> <span class=\"n\">size_divisibility</span><span class=\"p\">)</span>\n\n <span class=\"c1\"># Inject the compiled RPN Head</span>\n <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">proposal_generator</span><span class=\"o\">.</span><span class=\"n\">rpn_head</span> <span class=\"o\">=</span> <span class=\"n\">neuron_rpn_head</span>\n\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">model</span> <span class=\"o\">=</span> <span class=\"n\">model</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">forward</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">x</span><span class=\"p\">):</span>\n <span class=\"k\">return</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"p\">(</span><span class=\"n\">x</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Create the R-CNN with the compiled backbone and RPN Head</span>\n<span class=\"n\">predictor</span> <span class=\"o\">=</span> <span class=\"n\">get_model</span><span class=\"p\">()</span>\n<span class=\"n\">neuron_rcnn</span> <span class=\"o\">=</span> <span class=\"n\">NeuronRCNN</span><span class=\"p\">(</span><span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"p\">,</span> <span class=\"n\">neuron_backbone</span><span class=\"p\">,</span> <span class=\"n\">neuron_rpn_head</span><span class=\"p\">)</span>\n<span class=\"n\">neuron_rcnn</span><span class=\"o\">.</span><span class=\"n\">eval</span><span class=\"p\">()</span>\n\n<span class=\"c1\"># Print the R-CNN architecture to verify the compiled modules show up</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"n\">neuron_rcnn</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Run inference and print inference latency</span>\n<span class=\"n\">start</span> <span class=\"o\">=</span> <span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span>\n<span class=\"k\">for</span> <span class=\"n\">_</span> <span class=\"ow\">in</span> <span class=\"nb\">range</span><span class=\"p\">(</span><span class=\"mi\">10</span><span class=\"p\">):</span>\n <span class=\"n\">outputs</span> <span class=\"o\">=</span> <span class=\"n\">neuron_rcnn</span><span class=\"p\">([</span><span class=\"n\">inputs</span><span class=\"p\">])[</span><span class=\"mi\">0</span><span class=\"p\">]</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"sa\">f</span><span class=\"s1\">'Inference time: </span><span class=\"si\">{</span><span class=\"p\">((</span><span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"n\">start</span><span class=\"p\">)</span><span class=\"o\">/</span><span class=\"mi\">10</span><span class=\"p\">)</span><span class=\"si\">:</span><span class=\"s1\">0.3f</span><span class=\"si\">}</span><span class=\"s1\"> s'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"k\">with</span> <span class=\"n\">profiler</span><span class=\"o\">.</span><span class=\"n\">profile</span><span class=\"p\">(</span><span class=\"n\">record_shapes</span><span class=\"o\">=</span><span class=\"kc\">True</span><span class=\"p\">)</span> <span class=\"k\">as</span> <span class=\"n\">prof</span><span class=\"p\">:</span>\n <span class=\"k\">with</span> <span class=\"n\">profiler</span><span class=\"o\">.</span><span class=\"n\">record_function</span><span class=\"p\">(</span><span class=\"s2\">\"model_inference\"</span><span class=\"p\">):</span>\n <span class=\"n\">neuron_rcnn</span><span class=\"p\">([</span><span class=\"n\">inputs</span><span class=\"p\">])</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"n\">prof</span><span class=\"o\">.</span><span class=\"n\">key_averages</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"n\">table</span><span class=\"p\">(</span><span class=\"n\">sort_by</span><span class=\"o\">=</span><span class=\"s2\">\"cpu_time_total\"</span><span class=\"p\">,</span> <span class=\"n\">row_limit</span><span class=\"o\">=</span><span class=\"mi\">30</span><span class=\"p\">))</span>\n</pre></div>\n</div>\n<p>By running the compiled backbone and RPN Head on Inf1, the overall\nruntime is improved. Once again, the number and runtime of\n<code class=\"docutils literal notranslate\"><span class=\"pre\">aten::convolution</span></code> operators is also decreased. We now see two\n<code class=\"docutils literal notranslate\"><span class=\"pre\">neuron::forward_v2</span></code> operators which correspond to the compiled\nbackbone and RPN Head.</p>\n</div>\n<div class=\"section\" id=\"fusing-the-backbone-and-rpn-head\">\n<h3><a class=\"toc-backref\" href=\"#id11\">Fusing the Backbone and RPN Head</a><a class=\"headerlink\" href=\"#fusing-the-backbone-and-rpn-head\" title=\"Permalink to this headline\">#</a></h3>\n<p>It is typically preferable to compile fewer independent models\n(“subgraphs”) on Inf1. Combining models and compiling them as a single\nsubgraph enables the Neuron compiler to perform additional optimizations\nand reduces the I/O data transfer between CPU and NeuronCores between\neach subgraph.</p>\n<p>In this section, we “fuse” the ResNet backbone and RPN Head into a\nsingle model that we compile on Inf1. We create the\n<code class=\"docutils literal notranslate\"><span class=\"pre\">NeuronFusedBackboneRPNHead</span></code> wrapper to create a compilable model that\ncontains both the ResNet backbone\n(<a class=\"reference external\" href=\"https://github.com/facebookresearch/detectron2/blob/v0.6/detectron2/modeling/backbone/fpn.py\">predictor.model.backbone</a> L17-L162)\nand RPN Head\n(<a class=\"reference external\" href=\"https://github.com/facebookresearch/detectron2/blob/v0.6/detectron2/modeling/proposal_generator/rpn.py\">predictor.model.proposal_generator</a> L181-L533).\nWe also output the <code class=\"docutils literal notranslate\"><span class=\"pre\">features</span></code> because it is used downstream by the RoI\nHeads. We compile this <code class=\"docutils literal notranslate\"><span class=\"pre\">NeuronFusedBackboneRPNHead</span></code> wrapper as\n<code class=\"docutils literal notranslate\"><span class=\"pre\">neuron_backbone_rpn</span></code>. We then create a separate <code class=\"docutils literal notranslate\"><span class=\"pre\">BackboneRPN</span></code>\nwrapper that we use to inject the <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron_backbone_rpn</span></code> in place of\nthe original backbone and RPN Head. We also copy the remainder of the\nRPN <code class=\"docutils literal notranslate\"><span class=\"pre\">forward</span></code> code\n(<a class=\"reference external\" href=\"https://github.com/facebookresearch/detectron2/blob/v0.6/detectron2/modeling/proposal_generator/rpn.py\">predictor.model.proposal_generator.forward</a> L431-L480)\nto create a “fused” backbone + RPN module. Lastly, we re-write the\n<code class=\"docutils literal notranslate\"><span class=\"pre\">NeuronRCNN</span></code> wrapper to use the fused backbone + RPN module. The\n<code class=\"docutils literal notranslate\"><span class=\"pre\">NeuronRCNN</span></code> wrapper also uses the <code class=\"docutils literal notranslate\"><span class=\"pre\">predictor.model</span></code> <code class=\"docutils literal notranslate\"><span class=\"pre\">forward</span></code>\ncode to re-write the rest of the R-CNN model forward function.</p>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"k\">class</span> <span class=\"nc\">NeuronFusedBackboneRPNHead</span><span class=\"p\">(</span><span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Wrapper to compile the fused ResNet backbone and RPN Head.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">GeneralizedRCNN</span><span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"kc\">None</span><span class=\"p\">:</span>\n <span class=\"nb\">super</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"fm\">__init__</span><span class=\"p\">()</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">backbone</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">rpn_head</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">proposal_generator</span><span class=\"o\">.</span><span class=\"n\">rpn_head</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">in_features</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">proposal_generator</span><span class=\"o\">.</span><span class=\"n\">in_features</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">forward</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">x</span><span class=\"p\">):</span>\n <span class=\"n\">features</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone</span><span class=\"p\">(</span><span class=\"n\">x</span><span class=\"p\">)</span>\n <span class=\"n\">features_</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"n\">features</span><span class=\"p\">[</span><span class=\"n\">f</span><span class=\"p\">]</span> <span class=\"k\">for</span> <span class=\"n\">f</span> <span class=\"ow\">in</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">in_features</span><span class=\"p\">]</span>\n <span class=\"k\">return</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">rpn_head</span><span class=\"p\">(</span><span class=\"n\">features_</span><span class=\"p\">),</span> <span class=\"n\">features</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Create the wrapper with the combined backbone and RPN Head</span>\n<span class=\"n\">predictor</span> <span class=\"o\">=</span> <span class=\"n\">get_model</span><span class=\"p\">()</span>\n<span class=\"n\">backbone_rpn_wrapper</span> <span class=\"o\">=</span> <span class=\"n\">NeuronFusedBackboneRPNHead</span><span class=\"p\">(</span><span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"p\">)</span>\n<span class=\"n\">backbone_rpn_wrapper</span><span class=\"o\">.</span><span class=\"n\">eval</span><span class=\"p\">()</span>\n\n<span class=\"c1\"># Compile the wrapper</span>\n<span class=\"n\">example</span> <span class=\"o\">=</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">rand</span><span class=\"p\">([</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"mi\">3</span><span class=\"p\">,</span> <span class=\"mi\">800</span><span class=\"p\">,</span> <span class=\"mi\">800</span><span class=\"p\">])</span>\n\n<span class=\"k\">with</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">no_grad</span><span class=\"p\">():</span>\n <span class=\"n\">neuron_backbone_rpn_head</span> <span class=\"o\">=</span> <span class=\"n\">torch_neuron</span><span class=\"o\">.</span><span class=\"n\">trace</span><span class=\"p\">(</span>\n <span class=\"n\">backbone_rpn_wrapper</span><span class=\"p\">,</span> <span class=\"n\">example</span><span class=\"p\">,</span> <span class=\"n\">strict</span><span class=\"o\">=</span><span class=\"kc\">False</span><span class=\"p\">)</span>\n\n<span class=\"n\">backbone_rpn_filename</span> <span class=\"o\">=</span> <span class=\"s1\">'backbone_rpn.pt'</span>\n<span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">jit</span><span class=\"o\">.</span><span class=\"n\">save</span><span class=\"p\">(</span><span class=\"n\">neuron_backbone_rpn_head</span><span class=\"p\">,</span> <span class=\"n\">backbone_rpn_filename</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"k\">class</span> <span class=\"nc\">BackboneRPN</span><span class=\"p\">(</span><span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Wrapper that uses the compiled `neuron_backbone_rpn` instead</span>\n<span class=\"sd\"> of the original backbone and RPN Head. We copy the remainder</span>\n<span class=\"sd\"> of the RPN `forward` code (`predictor.model.proposal_generator.forward`)</span>\n<span class=\"sd\"> to create a \"fused\" backbone + RPN module.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">GeneralizedRCNN</span><span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"kc\">None</span><span class=\"p\">:</span>\n <span class=\"nb\">super</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"fm\">__init__</span><span class=\"p\">()</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn_head</span> <span class=\"o\">=</span> <span class=\"n\">NeuronFusedBackboneRPNHead</span><span class=\"p\">(</span><span class=\"n\">model</span><span class=\"p\">)</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_rpn</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">proposal_generator</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">in_features</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">proposal_generator</span><span class=\"o\">.</span><span class=\"n\">in_features</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">forward</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">images</span><span class=\"p\">):</span>\n <span class=\"n\">preds</span><span class=\"p\">,</span> <span class=\"n\">features</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn_head</span><span class=\"p\">(</span><span class=\"n\">images</span><span class=\"o\">.</span><span class=\"n\">tensor</span><span class=\"p\">)</span>\n <span class=\"n\">features_</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"n\">features</span><span class=\"p\">[</span><span class=\"n\">f</span><span class=\"p\">]</span> <span class=\"k\">for</span> <span class=\"n\">f</span> <span class=\"ow\">in</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">in_features</span><span class=\"p\">]</span>\n <span class=\"n\">pred_objectness_logits</span><span class=\"p\">,</span> <span class=\"n\">pred_anchor_deltas</span> <span class=\"o\">=</span> <span class=\"n\">preds</span>\n <span class=\"n\">anchors</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_rpn</span><span class=\"o\">.</span><span class=\"n\">anchor_generator</span><span class=\"p\">(</span><span class=\"n\">features_</span><span class=\"p\">)</span>\n\n <span class=\"c1\"># Transpose the Hi*Wi*A dimension to the middle:</span>\n <span class=\"n\">pred_objectness_logits</span> <span class=\"o\">=</span> <span class=\"p\">[</span>\n <span class=\"c1\"># (N, A, Hi, Wi) -> (N, Hi, Wi, A) -> (N, Hi*Wi*A)</span>\n <span class=\"n\">score</span><span class=\"o\">.</span><span class=\"n\">permute</span><span class=\"p\">(</span><span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"mi\">2</span><span class=\"p\">,</span> <span class=\"mi\">3</span><span class=\"p\">,</span> <span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"o\">.</span><span class=\"n\">flatten</span><span class=\"p\">(</span><span class=\"mi\">1</span><span class=\"p\">)</span>\n <span class=\"k\">for</span> <span class=\"n\">score</span> <span class=\"ow\">in</span> <span class=\"n\">pred_objectness_logits</span>\n <span class=\"p\">]</span>\n <span class=\"n\">pred_anchor_deltas</span> <span class=\"o\">=</span> <span class=\"p\">[</span>\n <span class=\"c1\"># (N, A*B, Hi, Wi) -> (N, A, B, Hi, Wi) -> (N, Hi, Wi, A, B) -> (N, Hi*Wi*A, B)</span>\n <span class=\"n\">x</span><span class=\"o\">.</span><span class=\"n\">view</span><span class=\"p\">(</span><span class=\"n\">x</span><span class=\"o\">.</span><span class=\"n\">shape</span><span class=\"p\">[</span><span class=\"mi\">0</span><span class=\"p\">],</span> <span class=\"o\">-</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_rpn</span><span class=\"o\">.</span><span class=\"n\">anchor_generator</span><span class=\"o\">.</span><span class=\"n\">box_dim</span><span class=\"p\">,</span>\n <span class=\"n\">x</span><span class=\"o\">.</span><span class=\"n\">shape</span><span class=\"p\">[</span><span class=\"o\">-</span><span class=\"mi\">2</span><span class=\"p\">],</span> <span class=\"n\">x</span><span class=\"o\">.</span><span class=\"n\">shape</span><span class=\"p\">[</span><span class=\"o\">-</span><span class=\"mi\">1</span><span class=\"p\">])</span>\n <span class=\"o\">.</span><span class=\"n\">permute</span><span class=\"p\">(</span><span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"mi\">3</span><span class=\"p\">,</span> <span class=\"mi\">4</span><span class=\"p\">,</span> <span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"mi\">2</span><span class=\"p\">)</span>\n <span class=\"o\">.</span><span class=\"n\">flatten</span><span class=\"p\">(</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"o\">-</span><span class=\"mi\">2</span><span class=\"p\">)</span>\n <span class=\"k\">for</span> <span class=\"n\">x</span> <span class=\"ow\">in</span> <span class=\"n\">pred_anchor_deltas</span>\n <span class=\"p\">]</span>\n\n <span class=\"n\">proposals</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_rpn</span><span class=\"o\">.</span><span class=\"n\">predict_proposals</span><span class=\"p\">(</span>\n <span class=\"n\">anchors</span><span class=\"p\">,</span> <span class=\"n\">pred_objectness_logits</span><span class=\"p\">,</span> <span class=\"n\">pred_anchor_deltas</span><span class=\"p\">,</span> <span class=\"n\">images</span><span class=\"o\">.</span><span class=\"n\">image_sizes</span>\n <span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"n\">proposals</span><span class=\"p\">,</span> <span class=\"n\">features</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"k\">class</span> <span class=\"nc\">NeuronRCNN</span><span class=\"p\">(</span><span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Wrapper that uses the fused backbone + RPN module and re-writes</span>\n<span class=\"sd\"> the rest of the R-CNN `model` `forward` function.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">GeneralizedRCNN</span><span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"kc\">None</span><span class=\"p\">:</span>\n <span class=\"nb\">super</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"fm\">__init__</span><span class=\"p\">()</span>\n\n <span class=\"c1\"># Use the fused Backbone + RPN</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn</span> <span class=\"o\">=</span> <span class=\"n\">BackboneRPN</span><span class=\"p\">(</span><span class=\"n\">model</span><span class=\"p\">)</span>\n\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span>\n\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">preprocess_image</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">preprocess_image</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_postprocess</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">_postprocess</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">forward</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">batched_inputs</span><span class=\"p\">):</span>\n <span class=\"n\">images</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">preprocess_image</span><span class=\"p\">(</span><span class=\"n\">batched_inputs</span><span class=\"p\">)</span>\n <span class=\"n\">proposals</span><span class=\"p\">,</span> <span class=\"n\">features</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn</span><span class=\"p\">(</span><span class=\"n\">images</span><span class=\"p\">)</span>\n <span class=\"n\">results</span><span class=\"p\">,</span> <span class=\"n\">_</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"p\">(</span><span class=\"n\">images</span><span class=\"p\">,</span> <span class=\"n\">features</span><span class=\"p\">,</span> <span class=\"n\">proposals</span><span class=\"p\">,</span> <span class=\"kc\">None</span><span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_postprocess</span><span class=\"p\">(</span><span class=\"n\">results</span><span class=\"p\">,</span> <span class=\"n\">batched_inputs</span><span class=\"p\">,</span> <span class=\"n\">images</span><span class=\"o\">.</span><span class=\"n\">image_sizes</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Create the new NeuronRCNN wrapper with the combined backbone and RPN Head</span>\n<span class=\"n\">predictor</span> <span class=\"o\">=</span> <span class=\"n\">get_model</span><span class=\"p\">()</span>\n<span class=\"n\">neuron_rcnn</span> <span class=\"o\">=</span> <span class=\"n\">NeuronRCNN</span><span class=\"p\">(</span><span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"p\">)</span>\n<span class=\"n\">neuron_rcnn</span><span class=\"o\">.</span><span class=\"n\">eval</span><span class=\"p\">()</span>\n\n<span class=\"c1\"># Inject the Neuron compiled models</span>\n<span class=\"n\">neuron_rcnn</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn_head</span> <span class=\"o\">=</span> <span class=\"n\">neuron_backbone_rpn_head</span>\n\n<span class=\"c1\"># Print the R-CNN architecture to verify the compiled modules show up</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"n\">neuron_rcnn</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Run inference and print inference latency</span>\n<span class=\"n\">start</span> <span class=\"o\">=</span> <span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span>\n<span class=\"k\">for</span> <span class=\"n\">_</span> <span class=\"ow\">in</span> <span class=\"nb\">range</span><span class=\"p\">(</span><span class=\"mi\">10</span><span class=\"p\">):</span>\n <span class=\"n\">outputs</span> <span class=\"o\">=</span> <span class=\"n\">neuron_rcnn</span><span class=\"p\">([</span><span class=\"n\">inputs</span><span class=\"p\">])[</span><span class=\"mi\">0</span><span class=\"p\">]</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"sa\">f</span><span class=\"s1\">'Inference time: </span><span class=\"si\">{</span><span class=\"p\">((</span><span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"n\">start</span><span class=\"p\">)</span><span class=\"o\">/</span><span class=\"mi\">10</span><span class=\"p\">)</span><span class=\"si\">:</span><span class=\"s1\">0.3f</span><span class=\"si\">}</span><span class=\"s1\"> s'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"k\">with</span> <span class=\"n\">profiler</span><span class=\"o\">.</span><span class=\"n\">profile</span><span class=\"p\">(</span><span class=\"n\">record_shapes</span><span class=\"o\">=</span><span class=\"kc\">True</span><span class=\"p\">)</span> <span class=\"k\">as</span> <span class=\"n\">prof</span><span class=\"p\">:</span>\n <span class=\"k\">with</span> <span class=\"n\">profiler</span><span class=\"o\">.</span><span class=\"n\">record_function</span><span class=\"p\">(</span><span class=\"s2\">\"model_inference\"</span><span class=\"p\">):</span>\n <span class=\"n\">neuron_rcnn</span><span class=\"p\">([</span><span class=\"n\">inputs</span><span class=\"p\">])</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"n\">prof</span><span class=\"o\">.</span><span class=\"n\">key_averages</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"n\">table</span><span class=\"p\">(</span><span class=\"n\">sort_by</span><span class=\"o\">=</span><span class=\"s2\">\"cpu_time_total\"</span><span class=\"p\">,</span> <span class=\"n\">row_limit</span><span class=\"o\">=</span><span class=\"mi\">30</span><span class=\"p\">))</span>\n</pre></div>\n</div>\n<p>By running the fused backbone + RPN Head on Inf1, the overall runtime is\nimproved again. We now see a single <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron::forward_v2</span></code> operator with\na lower runtime than the previous combined runtime of the two separate\n<code class=\"docutils literal notranslate\"><span class=\"pre\">neuron::forward_v2</span></code> operators.</p>\n</div>\n<div class=\"section\" id=\"compiling-the-roi-heads\">\n<h3><a class=\"toc-backref\" href=\"#id12\">Compiling the RoI Heads</a><a class=\"headerlink\" href=\"#compiling-the-roi-heads\" title=\"Permalink to this headline\">#</a></h3>\n<p>In this section, we extract and compile part of RoI Heads module\n(<a class=\"reference external\" href=\"https://github.com/facebookresearch/detectron2/blob/v0.6/detectron2/modeling/roi_heads/roi_heads.py\">predictor.model.roi_heads</a> L530-L778).\nThis will run most of the remaining <code class=\"docutils literal notranslate\"><span class=\"pre\">aten::linear</span></code> and <code class=\"docutils literal notranslate\"><span class=\"pre\">aten::addmm</span></code>\noperators on Inf1. We cannot extract the entire RoI Heads module because\nit contains unsupported operators. Thus, we create a\n<code class=\"docutils literal notranslate\"><span class=\"pre\">NeuronBoxHeadBoxPredictor</span></code> wrapper that extracts specific parts of\nthe <code class=\"docutils literal notranslate\"><span class=\"pre\">roi_heads</span></code> for compilation. The example input for compilation is\nthe shape of the input into the <code class=\"docutils literal notranslate\"><span class=\"pre\">self.roi_heads.box_head.forward</span></code>\nfunction. We write another wrapper, <code class=\"docutils literal notranslate\"><span class=\"pre\">ROIHead</span></code> that combines the\ncompiled <code class=\"docutils literal notranslate\"><span class=\"pre\">roi_heads</span></code> into the rest of the RoI module. The\n<code class=\"docutils literal notranslate\"><span class=\"pre\">_forward_box</span></code> and <code class=\"docutils literal notranslate\"><span class=\"pre\">forward</span></code> functions are from the\n<code class=\"docutils literal notranslate\"><span class=\"pre\">predictor.model.roi_heads</span></code> module. We re-write the <code class=\"docutils literal notranslate\"><span class=\"pre\">NeuronRCNN</span></code>\nwrapper to use the optimized RoI Heads wrapper as well as the fused\nbackbone + RPN module.</p>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"k\">class</span> <span class=\"nc\">NeuronBoxHeadBoxPredictor</span><span class=\"p\">(</span><span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Wrapper that extracts the RoI Box Head and Box Predictor</span>\n<span class=\"sd\"> for compilation.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">GeneralizedRCNN</span><span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"kc\">None</span><span class=\"p\">:</span>\n <span class=\"nb\">super</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"fm\">__init__</span><span class=\"p\">()</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">forward</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">box_features</span><span class=\"p\">):</span>\n <span class=\"n\">box_features</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">box_head</span><span class=\"p\">(</span><span class=\"n\">box_features</span><span class=\"p\">)</span>\n <span class=\"n\">predictions</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">box_predictor</span><span class=\"p\">(</span><span class=\"n\">box_features</span><span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"n\">predictions</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Create the NeuronBoxHeadBoxPredictor wrapper</span>\n<span class=\"n\">predictor</span> <span class=\"o\">=</span> <span class=\"n\">get_model</span><span class=\"p\">()</span>\n<span class=\"n\">box_head_predictor</span> <span class=\"o\">=</span> <span class=\"n\">NeuronBoxHeadBoxPredictor</span><span class=\"p\">(</span><span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"p\">)</span>\n<span class=\"n\">box_head_predictor</span><span class=\"o\">.</span><span class=\"n\">eval</span><span class=\"p\">()</span>\n\n<span class=\"c1\"># Compile the wrapper</span>\n<span class=\"n\">example</span> <span class=\"o\">=</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">rand</span><span class=\"p\">([</span><span class=\"mi\">1000</span><span class=\"p\">,</span> <span class=\"mi\">256</span><span class=\"p\">,</span> <span class=\"mi\">7</span><span class=\"p\">,</span> <span class=\"mi\">7</span><span class=\"p\">])</span>\n<span class=\"n\">neuron_box_head_predictor</span> <span class=\"o\">=</span> <span class=\"n\">torch_neuron</span><span class=\"o\">.</span><span class=\"n\">trace</span><span class=\"p\">(</span><span class=\"n\">box_head_predictor</span><span class=\"p\">,</span> <span class=\"n\">example</span><span class=\"p\">)</span>\n\n<span class=\"n\">roi_head_filename</span> <span class=\"o\">=</span> <span class=\"s1\">'box_head_predictor.pt'</span>\n<span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">jit</span><span class=\"o\">.</span><span class=\"n\">save</span><span class=\"p\">(</span><span class=\"n\">neuron_box_head_predictor</span><span class=\"p\">,</span> <span class=\"n\">roi_head_filename</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"k\">class</span> <span class=\"nc\">ROIHead</span><span class=\"p\">(</span><span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Wrapper that combines the compiled `roi_heads` into the</span>\n<span class=\"sd\"> rest of the RoI module. The `_forward_box` and `forward`</span>\n<span class=\"sd\"> functions are from the `predictor.model.roi_heads` module.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">GeneralizedRCNN</span><span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"kc\">None</span><span class=\"p\">:</span>\n <span class=\"nb\">super</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"fm\">__init__</span><span class=\"p\">()</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">neuron_box_head_predictor</span> <span class=\"o\">=</span> <span class=\"n\">NeuronBoxHeadBoxPredictor</span><span class=\"p\">(</span><span class=\"n\">model</span><span class=\"p\">)</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">_forward_box</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">features</span><span class=\"p\">,</span> <span class=\"n\">proposals</span><span class=\"p\">):</span>\n <span class=\"n\">features</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"n\">features</span><span class=\"p\">[</span><span class=\"n\">f</span><span class=\"p\">]</span> <span class=\"k\">for</span> <span class=\"n\">f</span> <span class=\"ow\">in</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">box_in_features</span><span class=\"p\">]</span>\n <span class=\"n\">box_features</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">box_pooler</span><span class=\"p\">(</span>\n <span class=\"n\">features</span><span class=\"p\">,</span> <span class=\"p\">[</span><span class=\"n\">x</span><span class=\"o\">.</span><span class=\"n\">proposal_boxes</span> <span class=\"k\">for</span> <span class=\"n\">x</span> <span class=\"ow\">in</span> <span class=\"n\">proposals</span><span class=\"p\">])</span>\n <span class=\"n\">predictions</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">neuron_box_head_predictor</span><span class=\"p\">(</span><span class=\"n\">box_features</span><span class=\"p\">)</span>\n <span class=\"n\">pred_instances</span><span class=\"p\">,</span> <span class=\"n\">_</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">box_predictor</span><span class=\"o\">.</span><span class=\"n\">inference</span><span class=\"p\">(</span>\n <span class=\"n\">predictions</span><span class=\"p\">,</span> <span class=\"n\">proposals</span><span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"n\">pred_instances</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">forward</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">images</span><span class=\"p\">,</span> <span class=\"n\">features</span><span class=\"p\">,</span> <span class=\"n\">proposals</span><span class=\"p\">,</span> <span class=\"n\">targets</span><span class=\"o\">=</span><span class=\"kc\">None</span><span class=\"p\">):</span>\n <span class=\"n\">pred_instances</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_forward_box</span><span class=\"p\">(</span><span class=\"n\">features</span><span class=\"p\">,</span> <span class=\"n\">proposals</span><span class=\"p\">)</span>\n <span class=\"n\">pred_instances</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">forward_with_given_boxes</span><span class=\"p\">(</span>\n <span class=\"n\">features</span><span class=\"p\">,</span> <span class=\"n\">pred_instances</span><span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"n\">pred_instances</span><span class=\"p\">,</span> <span class=\"p\">{}</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"k\">class</span> <span class=\"nc\">NeuronRCNN</span><span class=\"p\">(</span><span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Wrapper that uses the fused backbone + RPN module and the optimized RoI</span>\n<span class=\"sd\"> Heads wrapper</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">GeneralizedRCNN</span><span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"kc\">None</span><span class=\"p\">:</span>\n <span class=\"nb\">super</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"fm\">__init__</span><span class=\"p\">()</span>\n\n <span class=\"c1\"># Create fused Backbone + RPN</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn</span> <span class=\"o\">=</span> <span class=\"n\">BackboneRPN</span><span class=\"p\">(</span><span class=\"n\">model</span><span class=\"p\">)</span>\n\n <span class=\"c1\"># Create Neuron RoI Head</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span> <span class=\"o\">=</span> <span class=\"n\">ROIHead</span><span class=\"p\">(</span><span class=\"n\">model</span><span class=\"p\">)</span>\n\n <span class=\"c1\"># Define pre and post-processing functions</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">preprocess_image</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">preprocess_image</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_postprocess</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">_postprocess</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">forward</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">batched_inputs</span><span class=\"p\">):</span>\n <span class=\"n\">images</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">preprocess_image</span><span class=\"p\">(</span><span class=\"n\">batched_inputs</span><span class=\"p\">)</span>\n <span class=\"n\">proposals</span><span class=\"p\">,</span> <span class=\"n\">features</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn</span><span class=\"p\">(</span><span class=\"n\">images</span><span class=\"p\">)</span>\n <span class=\"n\">results</span><span class=\"p\">,</span> <span class=\"n\">_</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"p\">(</span><span class=\"n\">images</span><span class=\"p\">,</span> <span class=\"n\">features</span><span class=\"p\">,</span> <span class=\"n\">proposals</span><span class=\"p\">,</span> <span class=\"kc\">None</span><span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_postprocess</span><span class=\"p\">(</span><span class=\"n\">results</span><span class=\"p\">,</span> <span class=\"n\">batched_inputs</span><span class=\"p\">,</span> <span class=\"n\">images</span><span class=\"o\">.</span><span class=\"n\">image_sizes</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Initialize an R-CNN on CPU</span>\n<span class=\"n\">predictor</span> <span class=\"o\">=</span> <span class=\"n\">get_model</span><span class=\"p\">()</span>\n\n<span class=\"c1\"># Create the Neuron R-CNN on CPU</span>\n<span class=\"n\">neuron_rcnn</span> <span class=\"o\">=</span> <span class=\"n\">NeuronRCNN</span><span class=\"p\">(</span><span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"p\">)</span>\n<span class=\"n\">neuron_rcnn</span><span class=\"o\">.</span><span class=\"n\">eval</span><span class=\"p\">()</span>\n\n<span class=\"c1\"># Inject the Neuron compiled models</span>\n<span class=\"n\">neuron_rcnn</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn_head</span> <span class=\"o\">=</span> <span class=\"n\">neuron_backbone_rpn_head</span>\n<span class=\"n\">neuron_rcnn</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">neuron_box_head_predictor</span> <span class=\"o\">=</span> <span class=\"n\">neuron_box_head_predictor</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Run inference and print inference latency</span>\n<span class=\"n\">start</span> <span class=\"o\">=</span> <span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span>\n<span class=\"k\">for</span> <span class=\"n\">_</span> <span class=\"ow\">in</span> <span class=\"nb\">range</span><span class=\"p\">(</span><span class=\"mi\">10</span><span class=\"p\">):</span>\n <span class=\"n\">outputs</span> <span class=\"o\">=</span> <span class=\"n\">neuron_rcnn</span><span class=\"p\">([</span><span class=\"n\">inputs</span><span class=\"p\">])[</span><span class=\"mi\">0</span><span class=\"p\">]</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"sa\">f</span><span class=\"s1\">'CPU Inference time: </span><span class=\"si\">{</span><span class=\"p\">((</span><span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"n\">start</span><span class=\"p\">)</span><span class=\"o\">/</span><span class=\"mi\">10</span><span class=\"p\">)</span><span class=\"si\">:</span><span class=\"s1\">0.3f</span><span class=\"si\">}</span><span class=\"s1\"> s'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"k\">with</span> <span class=\"n\">profiler</span><span class=\"o\">.</span><span class=\"n\">profile</span><span class=\"p\">(</span><span class=\"n\">record_shapes</span><span class=\"o\">=</span><span class=\"kc\">True</span><span class=\"p\">)</span> <span class=\"k\">as</span> <span class=\"n\">prof</span><span class=\"p\">:</span>\n <span class=\"k\">with</span> <span class=\"n\">profiler</span><span class=\"o\">.</span><span class=\"n\">record_function</span><span class=\"p\">(</span><span class=\"s2\">\"model_inference\"</span><span class=\"p\">):</span>\n <span class=\"n\">neuron_rcnn</span><span class=\"p\">([</span><span class=\"n\">inputs</span><span class=\"p\">])</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"n\">prof</span><span class=\"o\">.</span><span class=\"n\">key_averages</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"n\">table</span><span class=\"p\">(</span><span class=\"n\">sort_by</span><span class=\"o\">=</span><span class=\"s2\">\"cpu_time_total\"</span><span class=\"p\">,</span> <span class=\"n\">row_limit</span><span class=\"o\">=</span><span class=\"mi\">30</span><span class=\"p\">))</span>\n</pre></div>\n</div>\n<p>Although the overall latency didn’t change significantly, running more\nof the model on Inf1 instead of CPU will free up CPU resources when\nmultiple models are running in parallel.</p>\n</div>\n</div>\n<div class=\"section\" id=\"end-to-end-compilation-and-inference\">\n<h2><a class=\"toc-backref\" href=\"#id13\">End-to-end Compilation and Inference</a><a class=\"headerlink\" href=\"#end-to-end-compilation-and-inference\" title=\"Permalink to this headline\">#</a></h2>\n<p>In this section we provide standalone code that compiles and runs an\noptimized Detectron2 R-CNN on Inf1. Most of the code in this section is\nfrom the previous sections in this application note and it’s\nconsolidated here for easy deployment. This section has the following\nmain componennts:</p>\n<ol class=\"arabic simple\">\n<li><p>Preprocessing and compilation functions</p></li>\n<li><p>Wrappers that extract the R-CNN ResNet backbone, RPN Head, and RoI\nHead for compilation on Inf1.</p></li>\n<li><p>A <code class=\"docutils literal notranslate\"><span class=\"pre\">NeuronRCNN</span></code> wrapper that creates an optimized end-to-end\nDetectron2 R-CNN model for inference on Inf1</p></li>\n<li><p>Benchmarking code that runs parallelized inference for optimized\nthroughput on Inf1</p></li>\n</ol>\n<div class=\"section\" id=\"benchmarking\">\n<h3><a class=\"toc-backref\" href=\"#id14\">Benchmarking</a><a class=\"headerlink\" href=\"#benchmarking\" title=\"Permalink to this headline\">#</a></h3>\n<p>In the benchmarkinng section, we load multiple optimized RCNN models and\nrun them in parallel to maximize throughput.</p>\n<p>We use the experimental NeuronCore placement API,\n<code class=\"docutils literal notranslate\"><span class=\"pre\">torch_neuron.experimental.neuron_cores_context()</span></code>, to ensure all\ncompiled models in an optimized RCNN model are loaded onto the same\nNeuronCore. Please note that the functionality and API of\n<code class=\"docutils literal notranslate\"><span class=\"pre\">torch_neuron.experimental.neuron_cores_context()</span></code> might change in\nfuture releases.</p>\n<p>We define a simple benchmark function that loads four optimized RCNN\nmodels onto four separate NeuronCores, runs multithreaded inference, and\ncalculates the corresponding latency and throughput. We benchmark\nvarious numbers of loaded models to show the impact of parallelism.</p>\n<p>We observe that throughput increases (at the cost of latency) when more\nmodels are run in parallel on Inf1. Increasing the number of worker\nthreads also improves throughput.</p>\n</div>\n<div class=\"section\" id=\"other-improvements\">\n<h3><a class=\"toc-backref\" href=\"#id15\">Other improvements</a><a class=\"headerlink\" href=\"#other-improvements\" title=\"Permalink to this headline\">#</a></h3>\n<p>There are many additional optimizations that can be applied to RCNN\nmodels on Inf1 depending on the application:</p>\n<div class=\"section\" id=\"for-latency-sensitive-applications\">\n<h4><a class=\"toc-backref\" href=\"#id16\">For latency sensitive applications:</a><a class=\"headerlink\" href=\"#for-latency-sensitive-applications\" title=\"Permalink to this headline\">#</a></h4>\n<ul class=\"simple\">\n<li><p>Each of the five layers in the RPN head can be parallelized to\ndecrease the overall latency.</p></li>\n<li><p>The number of OMP Threads can be increased in the ROI Align kernel.\nBoth of these optimizations will improve latency at the cost of\ndecreasing throughput.</p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"for-throughput-sensitive-applications\">\n<h4><a class=\"toc-backref\" href=\"#id17\">For throughput sensitive applications:</a><a class=\"headerlink\" href=\"#for-throughput-sensitive-applications\" title=\"Permalink to this headline\">#</a></h4>\n<ul class=\"simple\">\n<li><p>The input batch size can be increased to improve the NeuronCore\nutilization.</p></li>\n</ul>\n<div class=\"highlight-ipython3 notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"kn\">import</span> <span class=\"nn\">time</span>\n<span class=\"kn\">import</span> <span class=\"nn\">os</span>\n<span class=\"kn\">import</span> <span class=\"nn\">urllib.request</span>\n<span class=\"kn\">from</span> <span class=\"nn\">typing</span> <span class=\"kn\">import</span> <span class=\"n\">Any</span><span class=\"p\">,</span> <span class=\"n\">Union</span><span class=\"p\">,</span> <span class=\"n\">Callable</span>\n\n<span class=\"kn\">import</span> <span class=\"nn\">cv2</span>\n<span class=\"kn\">import</span> <span class=\"nn\">numpy</span> <span class=\"k\">as</span> <span class=\"nn\">np</span>\n<span class=\"kn\">from</span> <span class=\"nn\">concurrent.futures</span> <span class=\"kn\">import</span> <span class=\"n\">ThreadPoolExecutor</span>\n\n<span class=\"kn\">import</span> <span class=\"nn\">torch</span>\n<span class=\"kn\">import</span> <span class=\"nn\">torch_neuron</span>\n\n<span class=\"kn\">from</span> <span class=\"nn\">detectron2</span> <span class=\"kn\">import</span> <span class=\"n\">model_zoo</span>\n<span class=\"kn\">from</span> <span class=\"nn\">detectron2.engine</span> <span class=\"kn\">import</span> <span class=\"n\">DefaultPredictor</span>\n<span class=\"kn\">from</span> <span class=\"nn\">detectron2.config</span> <span class=\"kn\">import</span> <span class=\"n\">get_cfg</span>\n<span class=\"kn\">from</span> <span class=\"nn\">detectron2.modeling.meta_arch.rcnn</span> <span class=\"kn\">import</span> <span class=\"n\">GeneralizedRCNN</span>\n\n\n<span class=\"c1\"># -----------------------------------------------------------------------------</span>\n<span class=\"c1\"># Helper functions</span>\n<span class=\"c1\"># -----------------------------------------------------------------------------</span>\n\n<span class=\"k\">def</span> <span class=\"nf\">get_model</span><span class=\"p\">():</span>\n\n <span class=\"c1\"># Configure the R-CNN model</span>\n <span class=\"n\">CONFIG_FILE</span> <span class=\"o\">=</span> <span class=\"s2\">\"COCO-Detection/faster_rcnn_R_101_FPN_3x.yaml\"</span>\n <span class=\"n\">WEIGHTS_FILE</span> <span class=\"o\">=</span> <span class=\"s2\">\"COCO-Detection/faster_rcnn_R_101_FPN_3x.yaml\"</span>\n <span class=\"n\">cfg</span> <span class=\"o\">=</span> <span class=\"n\">get_cfg</span><span class=\"p\">()</span>\n <span class=\"n\">cfg</span><span class=\"o\">.</span><span class=\"n\">merge_from_file</span><span class=\"p\">(</span><span class=\"n\">model_zoo</span><span class=\"o\">.</span><span class=\"n\">get_config_file</span><span class=\"p\">(</span><span class=\"n\">CONFIG_FILE</span><span class=\"p\">))</span>\n <span class=\"n\">cfg</span><span class=\"o\">.</span><span class=\"n\">MODEL</span><span class=\"o\">.</span><span class=\"n\">WEIGHTS</span> <span class=\"o\">=</span> <span class=\"n\">model_zoo</span><span class=\"o\">.</span><span class=\"n\">get_checkpoint_url</span><span class=\"p\">(</span><span class=\"n\">WEIGHTS_FILE</span><span class=\"p\">)</span>\n <span class=\"n\">cfg</span><span class=\"o\">.</span><span class=\"n\">MODEL</span><span class=\"o\">.</span><span class=\"n\">ROI_HEADS</span><span class=\"o\">.</span><span class=\"n\">SCORE_THRESH_TEST</span> <span class=\"o\">=</span> <span class=\"mf\">0.5</span>\n <span class=\"n\">cfg</span><span class=\"o\">.</span><span class=\"n\">MODEL</span><span class=\"o\">.</span><span class=\"n\">DEVICE</span> <span class=\"o\">=</span> <span class=\"s1\">'cpu'</span> <span class=\"c1\"># Send to CPU for Neuron Tracing</span>\n\n <span class=\"c1\"># Create the R-CNN predictor wrapper</span>\n <span class=\"n\">predictor</span> <span class=\"o\">=</span> <span class=\"n\">DefaultPredictor</span><span class=\"p\">(</span><span class=\"n\">cfg</span><span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"n\">predictor</span>\n\n\n<span class=\"k\">def</span> <span class=\"nf\">get_image</span><span class=\"p\">():</span>\n\n <span class=\"c1\"># Get a sample image</span>\n <span class=\"n\">filename</span> <span class=\"o\">=</span> <span class=\"s1\">'input.jpg'</span>\n <span class=\"k\">if</span> <span class=\"ow\">not</span> <span class=\"n\">os</span><span class=\"o\">.</span><span class=\"n\">path</span><span class=\"o\">.</span><span class=\"n\">exists</span><span class=\"p\">(</span><span class=\"n\">filename</span><span class=\"p\">):</span>\n <span class=\"n\">url</span> <span class=\"o\">=</span> <span class=\"s2\">\"http://images.cocodataset.org/val2017/000000439715.jpg\"</span>\n <span class=\"n\">urllib</span><span class=\"o\">.</span><span class=\"n\">request</span><span class=\"o\">.</span><span class=\"n\">urlretrieve</span><span class=\"p\">(</span><span class=\"n\">url</span><span class=\"p\">,</span> <span class=\"n\">filename</span><span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"n\">filename</span>\n\n\n<span class=\"k\">def</span> <span class=\"nf\">preprocess</span><span class=\"p\">(</span><span class=\"n\">original_image</span><span class=\"p\">,</span> <span class=\"n\">predictor</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> A basic preprocessing function that sets the input height=800 and</span>\n<span class=\"sd\"> input width=800. The function is derived from the preprocessing</span>\n<span class=\"sd\"> steps in the Detectron2 `DefaultPredictor` module.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"n\">height</span><span class=\"p\">,</span> <span class=\"n\">width</span> <span class=\"o\">=</span> <span class=\"n\">original_image</span><span class=\"o\">.</span><span class=\"n\">shape</span><span class=\"p\">[:</span><span class=\"mi\">2</span><span class=\"p\">]</span>\n <span class=\"n\">resize_func</span> <span class=\"o\">=</span> <span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">aug</span><span class=\"o\">.</span><span class=\"n\">get_transform</span><span class=\"p\">(</span><span class=\"n\">original_image</span><span class=\"p\">)</span>\n <span class=\"n\">resize_func</span><span class=\"o\">.</span><span class=\"n\">new_h</span> <span class=\"o\">=</span> <span class=\"mi\">800</span> <span class=\"c1\"># Override height</span>\n <span class=\"n\">resize_func</span><span class=\"o\">.</span><span class=\"n\">new_w</span> <span class=\"o\">=</span> <span class=\"mi\">800</span> <span class=\"c1\"># Override width</span>\n <span class=\"n\">image</span> <span class=\"o\">=</span> <span class=\"n\">resize_func</span><span class=\"o\">.</span><span class=\"n\">apply_image</span><span class=\"p\">(</span><span class=\"n\">original_image</span><span class=\"p\">)</span>\n <span class=\"n\">image</span> <span class=\"o\">=</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">as_tensor</span><span class=\"p\">(</span><span class=\"n\">image</span><span class=\"o\">.</span><span class=\"n\">astype</span><span class=\"p\">(</span><span class=\"s2\">\"float32\"</span><span class=\"p\">)</span><span class=\"o\">.</span><span class=\"n\">transpose</span><span class=\"p\">(</span><span class=\"mi\">2</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"mi\">1</span><span class=\"p\">))</span>\n <span class=\"n\">inputs</span> <span class=\"o\">=</span> <span class=\"p\">{</span><span class=\"s2\">\"image\"</span><span class=\"p\">:</span> <span class=\"n\">image</span><span class=\"p\">,</span> <span class=\"s2\">\"height\"</span><span class=\"p\">:</span> <span class=\"n\">height</span><span class=\"p\">,</span> <span class=\"s2\">\"width\"</span><span class=\"p\">:</span> <span class=\"n\">width</span><span class=\"p\">}</span>\n <span class=\"k\">return</span> <span class=\"n\">inputs</span>\n\n\n<span class=\"c1\"># -----------------------------------------------------------------------------</span>\n<span class=\"c1\"># Neuron modules</span>\n<span class=\"c1\"># -----------------------------------------------------------------------------</span>\n\n<span class=\"k\">class</span> <span class=\"nc\">NeuronFusedBackboneRPNHead</span><span class=\"p\">(</span><span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Wrapper to compile the fused ResNet backbone and RPN Head.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">GeneralizedRCNN</span><span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"kc\">None</span><span class=\"p\">:</span>\n <span class=\"nb\">super</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"fm\">__init__</span><span class=\"p\">()</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">backbone</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">rpn_head</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">proposal_generator</span><span class=\"o\">.</span><span class=\"n\">rpn_head</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">in_features</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">proposal_generator</span><span class=\"o\">.</span><span class=\"n\">in_features</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">forward</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">x</span><span class=\"p\">):</span>\n <span class=\"n\">features</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone</span><span class=\"p\">(</span><span class=\"n\">x</span><span class=\"p\">)</span>\n <span class=\"n\">features_</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"n\">features</span><span class=\"p\">[</span><span class=\"n\">f</span><span class=\"p\">]</span> <span class=\"k\">for</span> <span class=\"n\">f</span> <span class=\"ow\">in</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">in_features</span><span class=\"p\">]</span>\n <span class=\"k\">return</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">rpn_head</span><span class=\"p\">(</span><span class=\"n\">features_</span><span class=\"p\">),</span> <span class=\"n\">features</span>\n\n\n<span class=\"k\">class</span> <span class=\"nc\">BackboneRPN</span><span class=\"p\">(</span><span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Wrapper that uses the compiled `neuron_backbone_rpn` instead</span>\n<span class=\"sd\"> of the original backbone and RPN Head. We copy the remainder</span>\n<span class=\"sd\"> of the RPN `forward` code (`predictor.model.proposal_generator.forward`)</span>\n<span class=\"sd\"> to create a \"fused\" backbone + RPN module.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">GeneralizedRCNN</span><span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"kc\">None</span><span class=\"p\">:</span>\n <span class=\"nb\">super</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"fm\">__init__</span><span class=\"p\">()</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn_head</span> <span class=\"o\">=</span> <span class=\"n\">NeuronFusedBackboneRPNHead</span><span class=\"p\">(</span><span class=\"n\">model</span><span class=\"p\">)</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_rpn</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">proposal_generator</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">in_features</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">proposal_generator</span><span class=\"o\">.</span><span class=\"n\">in_features</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">forward</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">images</span><span class=\"p\">):</span>\n <span class=\"n\">preds</span><span class=\"p\">,</span> <span class=\"n\">features</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn_head</span><span class=\"p\">(</span><span class=\"n\">images</span><span class=\"o\">.</span><span class=\"n\">tensor</span><span class=\"p\">)</span>\n <span class=\"n\">features_</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"n\">features</span><span class=\"p\">[</span><span class=\"n\">f</span><span class=\"p\">]</span> <span class=\"k\">for</span> <span class=\"n\">f</span> <span class=\"ow\">in</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">in_features</span><span class=\"p\">]</span>\n <span class=\"n\">pred_objectness_logits</span><span class=\"p\">,</span> <span class=\"n\">pred_anchor_deltas</span> <span class=\"o\">=</span> <span class=\"n\">preds</span>\n <span class=\"n\">anchors</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_rpn</span><span class=\"o\">.</span><span class=\"n\">anchor_generator</span><span class=\"p\">(</span><span class=\"n\">features_</span><span class=\"p\">)</span>\n\n <span class=\"c1\"># Transpose the Hi*Wi*A dimension to the middle:</span>\n <span class=\"n\">pred_objectness_logits</span> <span class=\"o\">=</span> <span class=\"p\">[</span>\n <span class=\"c1\"># (N, A, Hi, Wi) -> (N, Hi, Wi, A) -> (N, Hi*Wi*A)</span>\n <span class=\"n\">score</span><span class=\"o\">.</span><span class=\"n\">permute</span><span class=\"p\">(</span><span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"mi\">2</span><span class=\"p\">,</span> <span class=\"mi\">3</span><span class=\"p\">,</span> <span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"o\">.</span><span class=\"n\">flatten</span><span class=\"p\">(</span><span class=\"mi\">1</span><span class=\"p\">)</span>\n <span class=\"k\">for</span> <span class=\"n\">score</span> <span class=\"ow\">in</span> <span class=\"n\">pred_objectness_logits</span>\n <span class=\"p\">]</span>\n <span class=\"n\">pred_anchor_deltas</span> <span class=\"o\">=</span> <span class=\"p\">[</span>\n <span class=\"c1\"># (N, A*B, Hi, Wi) -> (N, A, B, Hi, Wi) -> (N, Hi, Wi, A, B) -> (N, Hi*Wi*A, B)</span>\n <span class=\"n\">x</span><span class=\"o\">.</span><span class=\"n\">view</span><span class=\"p\">(</span><span class=\"n\">x</span><span class=\"o\">.</span><span class=\"n\">shape</span><span class=\"p\">[</span><span class=\"mi\">0</span><span class=\"p\">],</span> <span class=\"o\">-</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_rpn</span><span class=\"o\">.</span><span class=\"n\">anchor_generator</span><span class=\"o\">.</span><span class=\"n\">box_dim</span><span class=\"p\">,</span>\n <span class=\"n\">x</span><span class=\"o\">.</span><span class=\"n\">shape</span><span class=\"p\">[</span><span class=\"o\">-</span><span class=\"mi\">2</span><span class=\"p\">],</span> <span class=\"n\">x</span><span class=\"o\">.</span><span class=\"n\">shape</span><span class=\"p\">[</span><span class=\"o\">-</span><span class=\"mi\">1</span><span class=\"p\">])</span>\n <span class=\"o\">.</span><span class=\"n\">permute</span><span class=\"p\">(</span><span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"mi\">3</span><span class=\"p\">,</span> <span class=\"mi\">4</span><span class=\"p\">,</span> <span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"mi\">2</span><span class=\"p\">)</span>\n <span class=\"o\">.</span><span class=\"n\">flatten</span><span class=\"p\">(</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"o\">-</span><span class=\"mi\">2</span><span class=\"p\">)</span>\n <span class=\"k\">for</span> <span class=\"n\">x</span> <span class=\"ow\">in</span> <span class=\"n\">pred_anchor_deltas</span>\n <span class=\"p\">]</span>\n\n <span class=\"n\">proposals</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_rpn</span><span class=\"o\">.</span><span class=\"n\">predict_proposals</span><span class=\"p\">(</span>\n <span class=\"n\">anchors</span><span class=\"p\">,</span> <span class=\"n\">pred_objectness_logits</span><span class=\"p\">,</span> <span class=\"n\">pred_anchor_deltas</span><span class=\"p\">,</span> <span class=\"n\">images</span><span class=\"o\">.</span><span class=\"n\">image_sizes</span>\n <span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"n\">proposals</span><span class=\"p\">,</span> <span class=\"n\">features</span>\n\n\n<span class=\"k\">class</span> <span class=\"nc\">NeuronBoxHeadBoxPredictor</span><span class=\"p\">(</span><span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Wrapper that extracts the RoI Box Head and Box Predictor</span>\n<span class=\"sd\"> for compilation.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">GeneralizedRCNN</span><span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"kc\">None</span><span class=\"p\">:</span>\n <span class=\"nb\">super</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"fm\">__init__</span><span class=\"p\">()</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">forward</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">box_features</span><span class=\"p\">):</span>\n <span class=\"n\">box_features</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">box_head</span><span class=\"p\">(</span><span class=\"n\">box_features</span><span class=\"p\">)</span>\n <span class=\"n\">predictions</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">box_predictor</span><span class=\"p\">(</span><span class=\"n\">box_features</span><span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"n\">predictions</span>\n\n\n<span class=\"k\">class</span> <span class=\"nc\">ROIHead</span><span class=\"p\">(</span><span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Wrapper that combines the compiled `roi_heads` into the</span>\n<span class=\"sd\"> rest of the RoI module. The `_forward_box` and `forward`</span>\n<span class=\"sd\"> functions are from the `predictor.model.roi_heads` module.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">GeneralizedRCNN</span><span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"kc\">None</span><span class=\"p\">:</span>\n <span class=\"nb\">super</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"fm\">__init__</span><span class=\"p\">()</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">neuron_box_head_predictor</span> <span class=\"o\">=</span> <span class=\"n\">NeuronBoxHeadBoxPredictor</span><span class=\"p\">(</span><span class=\"n\">model</span><span class=\"p\">)</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">_forward_box</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">features</span><span class=\"p\">,</span> <span class=\"n\">proposals</span><span class=\"p\">):</span>\n <span class=\"n\">features</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"n\">features</span><span class=\"p\">[</span><span class=\"n\">f</span><span class=\"p\">]</span> <span class=\"k\">for</span> <span class=\"n\">f</span> <span class=\"ow\">in</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">box_in_features</span><span class=\"p\">]</span>\n <span class=\"n\">box_features</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">box_pooler</span><span class=\"p\">(</span>\n <span class=\"n\">features</span><span class=\"p\">,</span> <span class=\"p\">[</span><span class=\"n\">x</span><span class=\"o\">.</span><span class=\"n\">proposal_boxes</span> <span class=\"k\">for</span> <span class=\"n\">x</span> <span class=\"ow\">in</span> <span class=\"n\">proposals</span><span class=\"p\">])</span>\n <span class=\"n\">predictions</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">neuron_box_head_predictor</span><span class=\"p\">(</span><span class=\"n\">box_features</span><span class=\"p\">)</span>\n <span class=\"n\">pred_instances</span><span class=\"p\">,</span> <span class=\"n\">_</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">box_predictor</span><span class=\"o\">.</span><span class=\"n\">inference</span><span class=\"p\">(</span>\n <span class=\"n\">predictions</span><span class=\"p\">,</span> <span class=\"n\">proposals</span><span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"n\">pred_instances</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">forward</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">images</span><span class=\"p\">,</span> <span class=\"n\">features</span><span class=\"p\">,</span> <span class=\"n\">proposals</span><span class=\"p\">,</span> <span class=\"n\">targets</span><span class=\"o\">=</span><span class=\"kc\">None</span><span class=\"p\">):</span>\n <span class=\"n\">pred_instances</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_forward_box</span><span class=\"p\">(</span><span class=\"n\">features</span><span class=\"p\">,</span> <span class=\"n\">proposals</span><span class=\"p\">)</span>\n <span class=\"n\">pred_instances</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">forward_with_given_boxes</span><span class=\"p\">(</span>\n <span class=\"n\">features</span><span class=\"p\">,</span> <span class=\"n\">pred_instances</span><span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"n\">pred_instances</span><span class=\"p\">,</span> <span class=\"p\">{}</span>\n\n\n<span class=\"k\">class</span> <span class=\"nc\">NeuronRCNN</span><span class=\"p\">(</span><span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Wrapper that uses the fused backbone + RPN module and the optimized RoI</span>\n<span class=\"sd\"> Heads wrapper</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">GeneralizedRCNN</span><span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"kc\">None</span><span class=\"p\">:</span>\n <span class=\"nb\">super</span><span class=\"p\">()</span><span class=\"o\">.</span><span class=\"fm\">__init__</span><span class=\"p\">()</span>\n\n <span class=\"c1\"># Create fused Backbone + RPN</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn</span> <span class=\"o\">=</span> <span class=\"n\">BackboneRPN</span><span class=\"p\">(</span><span class=\"n\">model</span><span class=\"p\">)</span>\n\n <span class=\"c1\"># Create Neuron RoI Head</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span> <span class=\"o\">=</span> <span class=\"n\">ROIHead</span><span class=\"p\">(</span><span class=\"n\">model</span><span class=\"p\">)</span>\n\n <span class=\"c1\"># Define pre and post-processing functions</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">preprocess_image</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">preprocess_image</span>\n <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_postprocess</span> <span class=\"o\">=</span> <span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">_postprocess</span>\n\n <span class=\"k\">def</span> <span class=\"nf\">forward</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">batched_inputs</span><span class=\"p\">):</span>\n <span class=\"n\">images</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">preprocess_image</span><span class=\"p\">(</span><span class=\"n\">batched_inputs</span><span class=\"p\">)</span>\n <span class=\"n\">proposals</span><span class=\"p\">,</span> <span class=\"n\">features</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn</span><span class=\"p\">(</span><span class=\"n\">images</span><span class=\"p\">)</span>\n <span class=\"n\">results</span><span class=\"p\">,</span> <span class=\"n\">_</span> <span class=\"o\">=</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"p\">(</span><span class=\"n\">images</span><span class=\"p\">,</span> <span class=\"n\">features</span><span class=\"p\">,</span> <span class=\"n\">proposals</span><span class=\"p\">,</span> <span class=\"kc\">None</span><span class=\"p\">)</span>\n <span class=\"k\">return</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">_postprocess</span><span class=\"p\">(</span><span class=\"n\">results</span><span class=\"p\">,</span> <span class=\"n\">batched_inputs</span><span class=\"p\">,</span> <span class=\"n\">images</span><span class=\"o\">.</span><span class=\"n\">image_sizes</span><span class=\"p\">)</span>\n\n\n<span class=\"c1\"># -----------------------------------------------------------------------------</span>\n<span class=\"c1\"># Compilation functions</span>\n<span class=\"c1\"># -----------------------------------------------------------------------------</span>\n\n<span class=\"k\">def</span> <span class=\"nf\">compile</span><span class=\"p\">(</span>\n <span class=\"n\">model</span><span class=\"p\">:</span> <span class=\"n\">Union</span><span class=\"p\">[</span><span class=\"n\">Callable</span><span class=\"p\">,</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">],</span>\n <span class=\"n\">example_inputs</span><span class=\"p\">:</span> <span class=\"n\">Any</span><span class=\"p\">,</span>\n <span class=\"n\">filename</span><span class=\"p\">:</span> <span class=\"nb\">str</span><span class=\"p\">,</span>\n <span class=\"o\">**</span><span class=\"n\">kwargs</span>\n<span class=\"p\">)</span> <span class=\"o\">-></span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">nn</span><span class=\"o\">.</span><span class=\"n\">Module</span><span class=\"p\">:</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> Compiles the model for Inf1 if it doesn't already exist and saves it as the provided filename.</span>\n\n<span class=\"sd\"> model: A module or function which defines a torch model or computation.</span>\n<span class=\"sd\"> example_inputs: An example set of inputs which will be passed to the</span>\n<span class=\"sd\"> `model` during compilation.</span>\n<span class=\"sd\"> filename: Name of the compiled model</span>\n<span class=\"sd\"> kwargs: Extra `torch_neuron.trace` kwargs</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"k\">if</span> <span class=\"ow\">not</span> <span class=\"n\">os</span><span class=\"o\">.</span><span class=\"n\">path</span><span class=\"o\">.</span><span class=\"n\">exists</span><span class=\"p\">(</span><span class=\"n\">filename</span><span class=\"p\">):</span>\n <span class=\"k\">with</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">no_grad</span><span class=\"p\">():</span>\n <span class=\"n\">compiled_model</span> <span class=\"o\">=</span> <span class=\"n\">torch_neuron</span><span class=\"o\">.</span><span class=\"n\">trace</span><span class=\"p\">(</span><span class=\"n\">model</span><span class=\"p\">,</span> <span class=\"n\">example_inputs</span><span class=\"p\">,</span> <span class=\"o\">**</span><span class=\"n\">kwargs</span><span class=\"p\">)</span>\n <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">jit</span><span class=\"o\">.</span><span class=\"n\">save</span><span class=\"p\">(</span><span class=\"n\">compiled_model</span><span class=\"p\">,</span> <span class=\"n\">filename</span><span class=\"p\">)</span>\n\n\n<span class=\"c1\"># -----------------------------------------------------------------------------</span>\n<span class=\"c1\"># Benchmarking function</span>\n<span class=\"c1\"># -----------------------------------------------------------------------------</span>\n\n<span class=\"k\">def</span> <span class=\"nf\">benchmark</span><span class=\"p\">(</span><span class=\"n\">backbone_rpn_filename</span><span class=\"p\">,</span> <span class=\"n\">roi_head_filename</span><span class=\"p\">,</span> <span class=\"n\">inputs</span><span class=\"p\">,</span>\n <span class=\"n\">n_models</span><span class=\"o\">=</span><span class=\"mi\">4</span><span class=\"p\">,</span> <span class=\"n\">batch_size</span><span class=\"o\">=</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"n\">n_threads</span><span class=\"o\">=</span><span class=\"mi\">4</span><span class=\"p\">,</span> <span class=\"n\">iterations</span><span class=\"o\">=</span><span class=\"mi\">200</span><span class=\"p\">):</span>\n<span class=\"w\"> </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\"> A simple benchmarking function that loads `n_models` optimized</span>\n<span class=\"sd\"> models onto separate NeuronCores, runs multithreaded inference,</span>\n<span class=\"sd\"> and calculates the corresponding latency and throughput.</span>\n<span class=\"sd\"> \"\"\"</span>\n\n <span class=\"c1\"># Load models</span>\n <span class=\"n\">models</span> <span class=\"o\">=</span> <span class=\"nb\">list</span><span class=\"p\">()</span>\n <span class=\"k\">for</span> <span class=\"n\">i</span> <span class=\"ow\">in</span> <span class=\"nb\">range</span><span class=\"p\">(</span><span class=\"n\">n_models</span><span class=\"p\">):</span>\n <span class=\"k\">with</span> <span class=\"n\">torch_neuron</span><span class=\"o\">.</span><span class=\"n\">experimental</span><span class=\"o\">.</span><span class=\"n\">neuron_cores_context</span><span class=\"p\">(</span><span class=\"n\">i</span><span class=\"p\">):</span>\n <span class=\"c1\"># Create the RCNN with the fused backbone + RPN Head and compiled RoI Heads</span>\n <span class=\"c1\"># Initialize an R-CNN on CPU</span>\n <span class=\"n\">predictor</span> <span class=\"o\">=</span> <span class=\"n\">get_model</span><span class=\"p\">()</span>\n\n <span class=\"c1\"># Create the Neuron R-CNN on CPU</span>\n <span class=\"n\">neuron_rcnn</span> <span class=\"o\">=</span> <span class=\"n\">NeuronRCNN</span><span class=\"p\">(</span><span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"p\">)</span>\n <span class=\"n\">neuron_rcnn</span><span class=\"o\">.</span><span class=\"n\">eval</span><span class=\"p\">()</span>\n\n <span class=\"c1\"># Inject the Neuron compiled models</span>\n <span class=\"n\">neuron_rcnn</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn</span><span class=\"o\">.</span><span class=\"n\">backbone_rpn_head</span> <span class=\"o\">=</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">jit</span><span class=\"o\">.</span><span class=\"n\">load</span><span class=\"p\">(</span><span class=\"n\">backbone_rpn_filename</span><span class=\"p\">)</span>\n <span class=\"n\">neuron_rcnn</span><span class=\"o\">.</span><span class=\"n\">roi_heads</span><span class=\"o\">.</span><span class=\"n\">neuron_box_head_predictor</span> <span class=\"o\">=</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">jit</span><span class=\"o\">.</span><span class=\"n\">load</span><span class=\"p\">(</span><span class=\"n\">roi_head_filename</span><span class=\"p\">)</span>\n\n <span class=\"n\">models</span><span class=\"o\">.</span><span class=\"n\">append</span><span class=\"p\">(</span><span class=\"n\">neuron_rcnn</span><span class=\"p\">)</span>\n\n <span class=\"c1\"># Warmup</span>\n <span class=\"k\">for</span> <span class=\"n\">_</span> <span class=\"ow\">in</span> <span class=\"nb\">range</span><span class=\"p\">(</span><span class=\"mi\">8</span><span class=\"p\">):</span>\n <span class=\"k\">for</span> <span class=\"n\">model</span> <span class=\"ow\">in</span> <span class=\"n\">models</span><span class=\"p\">:</span>\n <span class=\"n\">model</span><span class=\"p\">([</span><span class=\"n\">inputs</span><span class=\"p\">])</span>\n\n <span class=\"n\">latencies</span> <span class=\"o\">=</span> <span class=\"p\">[]</span>\n\n <span class=\"c1\"># Thread task</span>\n <span class=\"k\">def</span> <span class=\"nf\">task</span><span class=\"p\">(</span><span class=\"n\">i</span><span class=\"p\">):</span>\n <span class=\"n\">start</span> <span class=\"o\">=</span> <span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span>\n <span class=\"n\">models</span><span class=\"p\">[</span><span class=\"n\">i</span><span class=\"p\">]([</span><span class=\"n\">inputs</span><span class=\"p\">])</span>\n <span class=\"n\">finish</span> <span class=\"o\">=</span> <span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span>\n <span class=\"n\">latencies</span><span class=\"o\">.</span><span class=\"n\">append</span><span class=\"p\">((</span><span class=\"n\">finish</span> <span class=\"o\">-</span> <span class=\"n\">start</span><span class=\"p\">)</span> <span class=\"o\">*</span> <span class=\"mi\">1000</span><span class=\"p\">)</span>\n\n <span class=\"n\">begin</span> <span class=\"o\">=</span> <span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span>\n <span class=\"k\">with</span> <span class=\"n\">ThreadPoolExecutor</span><span class=\"p\">(</span><span class=\"n\">max_workers</span><span class=\"o\">=</span><span class=\"n\">n_threads</span><span class=\"p\">)</span> <span class=\"k\">as</span> <span class=\"n\">pool</span><span class=\"p\">:</span>\n <span class=\"k\">for</span> <span class=\"n\">i</span> <span class=\"ow\">in</span> <span class=\"nb\">range</span><span class=\"p\">(</span><span class=\"n\">iterations</span><span class=\"p\">):</span>\n <span class=\"n\">pool</span><span class=\"o\">.</span><span class=\"n\">submit</span><span class=\"p\">(</span><span class=\"n\">task</span><span class=\"p\">,</span> <span class=\"n\">i</span> <span class=\"o\">%</span> <span class=\"n\">n_models</span><span class=\"p\">)</span>\n <span class=\"n\">end</span> <span class=\"o\">=</span> <span class=\"n\">time</span><span class=\"o\">.</span><span class=\"n\">time</span><span class=\"p\">()</span>\n\n <span class=\"c1\"># Compute metrics</span>\n <span class=\"n\">boundaries</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"mi\">50</span><span class=\"p\">,</span> <span class=\"mi\">95</span><span class=\"p\">,</span> <span class=\"mi\">99</span><span class=\"p\">]</span>\n <span class=\"n\">names</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"sa\">f</span><span class=\"s1\">'Latency P</span><span class=\"si\">{</span><span class=\"n\">i</span><span class=\"si\">}</span><span class=\"s1\"> (ms)'</span> <span class=\"k\">for</span> <span class=\"n\">i</span> <span class=\"ow\">in</span> <span class=\"n\">boundaries</span><span class=\"p\">]</span>\n <span class=\"n\">percentiles</span> <span class=\"o\">=</span> <span class=\"n\">np</span><span class=\"o\">.</span><span class=\"n\">percentile</span><span class=\"p\">(</span><span class=\"n\">latencies</span><span class=\"p\">,</span> <span class=\"n\">boundaries</span><span class=\"p\">)</span>\n <span class=\"n\">duration</span> <span class=\"o\">=</span> <span class=\"n\">end</span> <span class=\"o\">-</span> <span class=\"n\">begin</span>\n\n <span class=\"c1\"># Display metrics</span>\n <span class=\"n\">results</span> <span class=\"o\">=</span> <span class=\"p\">{</span>\n <span class=\"s1\">'Samples'</span><span class=\"p\">:</span> <span class=\"n\">iterations</span><span class=\"p\">,</span>\n <span class=\"s1\">'Batch Size'</span><span class=\"p\">:</span> <span class=\"n\">batch_size</span><span class=\"p\">,</span>\n <span class=\"s1\">'Models'</span><span class=\"p\">:</span> <span class=\"n\">n_models</span><span class=\"p\">,</span>\n <span class=\"s1\">'Threads'</span><span class=\"p\">:</span> <span class=\"n\">n_threads</span><span class=\"p\">,</span>\n <span class=\"s1\">'Duration (s)'</span><span class=\"p\">:</span> <span class=\"n\">end</span> <span class=\"o\">-</span> <span class=\"n\">begin</span><span class=\"p\">,</span>\n <span class=\"s1\">'Throughput (inf/s)'</span><span class=\"p\">:</span> <span class=\"p\">(</span><span class=\"n\">batch_size</span> <span class=\"o\">*</span> <span class=\"n\">iterations</span><span class=\"p\">)</span> <span class=\"o\">/</span> <span class=\"n\">duration</span><span class=\"p\">,</span>\n <span class=\"o\">**</span><span class=\"nb\">dict</span><span class=\"p\">(</span><span class=\"nb\">zip</span><span class=\"p\">(</span><span class=\"n\">names</span><span class=\"p\">,</span> <span class=\"n\">percentiles</span><span class=\"p\">)),</span>\n <span class=\"p\">}</span>\n\n <span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"s1\">'-'</span> <span class=\"o\">*</span> <span class=\"mi\">80</span><span class=\"p\">)</span>\n <span class=\"n\">pad</span> <span class=\"o\">=</span> <span class=\"nb\">max</span><span class=\"p\">(</span><span class=\"nb\">map</span><span class=\"p\">(</span><span class=\"nb\">len</span><span class=\"p\">,</span> <span class=\"n\">results</span><span class=\"p\">))</span>\n <span class=\"k\">for</span> <span class=\"n\">key</span><span class=\"p\">,</span> <span class=\"n\">value</span> <span class=\"ow\">in</span> <span class=\"n\">results</span><span class=\"o\">.</span><span class=\"n\">items</span><span class=\"p\">():</span>\n <span class=\"k\">if</span> <span class=\"nb\">isinstance</span><span class=\"p\">(</span><span class=\"n\">value</span><span class=\"p\">,</span> <span class=\"nb\">float</span><span class=\"p\">):</span>\n <span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"sa\">f</span><span class=\"s1\">'</span><span class=\"si\">{</span><span class=\"n\">key</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"s2\">\":\"</span><span class=\"w\"> </span><span class=\"si\">:</span><span class=\"s1\"><</span><span class=\"si\">{</span><span class=\"n\">pad</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"si\">}}</span><span class=\"s1\"> </span><span class=\"si\">{</span><span class=\"n\">value</span><span class=\"si\">:</span><span class=\"s1\">0.3f</span><span class=\"si\">}</span><span class=\"s1\">'</span><span class=\"p\">)</span>\n <span class=\"k\">else</span><span class=\"p\">:</span>\n <span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"sa\">f</span><span class=\"s1\">'</span><span class=\"si\">{</span><span class=\"n\">key</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"s2\">\":\"</span><span class=\"w\"> </span><span class=\"si\">:</span><span class=\"s1\"><</span><span class=\"si\">{</span><span class=\"n\">pad</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"si\">}}</span><span class=\"s1\"> </span><span class=\"si\">{</span><span class=\"n\">value</span><span class=\"si\">}</span><span class=\"s1\">'</span><span class=\"p\">)</span>\n <span class=\"nb\">print</span><span class=\"p\">()</span>\n\n\n<span class=\"k\">if</span> <span class=\"vm\">__name__</span> <span class=\"o\">==</span> <span class=\"s2\">\"__main__\"</span><span class=\"p\">:</span>\n\n <span class=\"c1\"># Create and compile the combined backbone and RPN Head wrapper</span>\n <span class=\"n\">backbone_rpn_filename</span> <span class=\"o\">=</span> <span class=\"s1\">'backbone_rpn.pt'</span>\n <span class=\"n\">predictor</span> <span class=\"o\">=</span> <span class=\"n\">get_model</span><span class=\"p\">()</span>\n <span class=\"n\">backbone_rpn_wrapper</span> <span class=\"o\">=</span> <span class=\"n\">NeuronFusedBackboneRPNHead</span><span class=\"p\">(</span><span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"p\">)</span>\n <span class=\"n\">backbone_rpn_wrapper</span><span class=\"o\">.</span><span class=\"n\">eval</span><span class=\"p\">()</span>\n <span class=\"n\">example</span> <span class=\"o\">=</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">rand</span><span class=\"p\">([</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"mi\">3</span><span class=\"p\">,</span> <span class=\"mi\">800</span><span class=\"p\">,</span> <span class=\"mi\">800</span><span class=\"p\">])</span>\n <span class=\"nb\">compile</span><span class=\"p\">(</span><span class=\"n\">backbone_rpn_wrapper</span><span class=\"p\">,</span> <span class=\"n\">example</span><span class=\"p\">,</span> <span class=\"n\">backbone_rpn_filename</span><span class=\"p\">,</span> <span class=\"n\">strict</span><span class=\"o\">=</span><span class=\"kc\">False</span><span class=\"p\">)</span>\n\n <span class=\"c1\"># Create and compile the RoI Head wrapper</span>\n <span class=\"n\">roi_head_filename</span> <span class=\"o\">=</span> <span class=\"s1\">'box_head_predictor.pt'</span>\n <span class=\"n\">predictor</span> <span class=\"o\">=</span> <span class=\"n\">get_model</span><span class=\"p\">()</span>\n <span class=\"n\">box_head_predictor</span> <span class=\"o\">=</span> <span class=\"n\">NeuronBoxHeadBoxPredictor</span><span class=\"p\">(</span><span class=\"n\">predictor</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"p\">)</span>\n <span class=\"n\">box_head_predictor</span><span class=\"o\">.</span><span class=\"n\">eval</span><span class=\"p\">()</span>\n <span class=\"n\">example</span> <span class=\"o\">=</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">rand</span><span class=\"p\">([</span><span class=\"mi\">1000</span><span class=\"p\">,</span> <span class=\"mi\">256</span><span class=\"p\">,</span> <span class=\"mi\">7</span><span class=\"p\">,</span> <span class=\"mi\">7</span><span class=\"p\">])</span>\n <span class=\"nb\">compile</span><span class=\"p\">(</span><span class=\"n\">box_head_predictor</span><span class=\"p\">,</span> <span class=\"n\">example</span><span class=\"p\">,</span> <span class=\"n\">roi_head_filename</span><span class=\"p\">)</span>\n\n <span class=\"c1\"># Download a sample image from the COCO dataset and read it</span>\n <span class=\"n\">image_filename</span> <span class=\"o\">=</span> <span class=\"n\">get_image</span><span class=\"p\">()</span>\n <span class=\"n\">image</span> <span class=\"o\">=</span> <span class=\"n\">cv2</span><span class=\"o\">.</span><span class=\"n\">imread</span><span class=\"p\">(</span><span class=\"n\">image_filename</span><span class=\"p\">)</span>\n <span class=\"n\">inputs</span> <span class=\"o\">=</span> <span class=\"n\">preprocess</span><span class=\"p\">(</span><span class=\"n\">image</span><span class=\"p\">,</span> <span class=\"n\">get_model</span><span class=\"p\">())</span>\n\n <span class=\"c1\"># Benchmark the Neuron R-CNN model for various numbers of loaded models</span>\n <span class=\"n\">benchmark</span><span class=\"p\">(</span><span class=\"n\">backbone_rpn_filename</span><span class=\"p\">,</span> <span class=\"n\">roi_head_filename</span><span class=\"p\">,</span> <span class=\"n\">inputs</span><span class=\"p\">,</span> <span class=\"n\">n_models</span><span class=\"o\">=</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"n\">n_threads</span><span class=\"o\">=</span><span class=\"mi\">1</span><span class=\"p\">)</span>\n <span class=\"n\">benchmark</span><span class=\"p\">(</span><span class=\"n\">backbone_rpn_filename</span><span class=\"p\">,</span> <span class=\"n\">roi_head_filename</span><span class=\"p\">,</span> <span class=\"n\">inputs</span><span class=\"p\">,</span> <span class=\"n\">n_models</span><span class=\"o\">=</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"n\">n_threads</span><span class=\"o\">=</span><span class=\"mi\">2</span><span class=\"p\">)</span>\n <span class=\"n\">benchmark</span><span class=\"p\">(</span><span class=\"n\">backbone_rpn_filename</span><span class=\"p\">,</span> <span class=\"n\">roi_head_filename</span><span class=\"p\">,</span> <span class=\"n\">inputs</span><span class=\"p\">,</span> <span class=\"n\">n_models</span><span class=\"o\">=</span><span class=\"mi\">2</span><span class=\"p\">,</span> <span class=\"n\">n_threads</span><span class=\"o\">=</span><span class=\"mi\">2</span><span class=\"p\">)</span>\n <span class=\"n\">benchmark</span><span class=\"p\">(</span><span class=\"n\">backbone_rpn_filename</span><span class=\"p\">,</span> <span class=\"n\">roi_head_filename</span><span class=\"p\">,</span> <span class=\"n\">inputs</span><span class=\"p\">,</span> <span class=\"n\">n_models</span><span class=\"o\">=</span><span class=\"mi\">2</span><span class=\"p\">,</span> <span class=\"n\">n_threads</span><span class=\"o\">=</span><span class=\"mi\">4</span><span class=\"p\">)</span>\n <span class=\"n\">benchmark</span><span class=\"p\">(</span><span class=\"n\">backbone_rpn_filename</span><span class=\"p\">,</span> <span class=\"n\">roi_head_filename</span><span class=\"p\">,</span> <span class=\"n\">inputs</span><span class=\"p\">,</span> <span class=\"n\">n_models</span><span class=\"o\">=</span><span class=\"mi\">4</span><span class=\"p\">,</span> <span class=\"n\">n_threads</span><span class=\"o\">=</span><span class=\"mi\">4</span><span class=\"p\">)</span>\n <span class=\"n\">benchmark</span><span class=\"p\">(</span><span class=\"n\">backbone_rpn_filename</span><span class=\"p\">,</span> <span class=\"n\">roi_head_filename</span><span class=\"p\">,</span> <span class=\"n\">inputs</span><span class=\"p\">,</span> <span class=\"n\">n_models</span><span class=\"o\">=</span><span class=\"mi\">4</span><span class=\"p\">,</span> <span class=\"n\">n_threads</span><span class=\"o\">=</span><span class=\"mi\">8</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code></p>\n</div>\n</div>\n</div>\n</div>\n\n<div class=\"section\">\n \n</div>\n\n </div>\n \n </main>\n <footer class=\"footer-article noprint\">\n \n <!-- Previous / next buttons -->\n<div class=\"prev-next-area\">\n <a class=\"left-prev\" id=\"prev-link\" href=\"../perf/neuron-cc/parallel-ncgs.html\" title=\"previous page\">\n <i class=\"fas fa-angle-left\"></i>\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">previous</p>\n <p class=\"prev-next-title\">Parallel Execution using NEURON_RT_NUM_CORES</p>\n </div>\n </a>\n <a class=\"right-next\" id=\"next-link\" href=\"../transformers-neuronx/generative-llm-inference-with-neuron.html\" title=\"next page\">\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">next</p>\n <p class=\"prev-next-title\">Generative LLM inference with Neuron</p>\n </div>\n <i class=\"fas fa-angle-right\"></i>\n </a>\n</div>\n </footer>\n </div>\n </div>\n <div class=\"footer-content row\">\n <footer class=\"col footer\"><p>\n \n By AWS<br>\n \n © Copyright 2023, Amazon.com.<br>\n</p>\n </footer>\n </div>\n \n</div>\n\n\n </div>\n </div>\n \n <!-- Scripts loaded after <body> so the DOM is not blocked -->\n <script src=\"../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf\"></script>\n\n\n \n</body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:23.276Z"}}},{"rowIdx":285,"cells":{"title":{"kind":"string","value":"Neuron FAQ — AWS Neuron Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/faq.html"},"markdown":{"kind":"string","value":"# Neuron FAQ — AWS Neuron Documentation\n\n- [repository](https://github.com/aws-neuron/aws-neuron-sdk)\n- [open issue](https://github.com/aws-neuron/aws-neuron-sdk/issues/new?title=Issue%20on%20page%20%2Fgeneral/faq.html&body=Your%20issue%20content%20here.)\n- [suggest edit](https://github.com/aws-neuron/aws-neuron-sdk/edit/v2.14.1/general/faq.rst)\n\n- [.rst](../_sources/general/faq.rst.txt)\n\nContents\n\n- [Neuron 2.x FAQ](#neuron-2-x-faq)\n- [Training Only FAQ](#training-only-faq)\n- [Inference Only FAQ](#inference-only-faq)\n- [Runtime FAQ](#runtime-faq)\n- [Compiler FAQ](#compiler-faq)\n- [Neuron Containers](#neuron-containers)\n- [ONNX FAQ](#onnx-faq)\n- [Support](#support)\n\n## Neuron FAQ\n\n## Contents\n\n- [Neuron 2.x FAQ](#neuron-2-x-faq)\n- [Training Only FAQ](#training-only-faq)\n- [Inference Only FAQ](#inference-only-faq)\n- [Runtime FAQ](#runtime-faq)\n- [Compiler FAQ](#compiler-faq)\n- [Neuron Containers](#neuron-containers)\n- [ONNX FAQ](#onnx-faq)\n- [Support](#support)\n\n_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`\n\n## Neuron FAQ[#](#neuron-faq \"Permalink to this headline\")\n\nTable of contents\n\n- [Neuron 2.x FAQ](#neuron-2-x-faq)\n \n- [Training Only FAQ](#training-only-faq)\n \n- [Inference Only FAQ](#inference-only-faq)\n \n- [Runtime FAQ](#runtime-faq)\n \n- [Compiler FAQ](#compiler-faq)\n \n- [Neuron Containers](#neuron-containers)\n \n- [ONNX FAQ](#onnx-faq)\n \n- [Support](#support)\n \n\n## [Neuron 2.x FAQ](#id2)[#](#neuron-2-x-faq \"Permalink to this headline\")\n\n- [Neuron 2.x Introduction at Trn1 GA - FAQ](faq/neuron2-intro-faq.html#neuron2-intro-faq)\n \n\n## [Training Only FAQ](#id3)[#](#training-only-faq \"Permalink to this headline\")\n\n- [Training with Neuron - FAQ](faq/training/neuron-training.html#neuron-training-faq)\n \n\n## [Inference Only FAQ](#id4)[#](#inference-only-faq \"Permalink to this headline\")\n\n- [Inference with Neuron - FAQ](faq/inference/neuron-faq.html#neuron-f1-faq)\n \n- [Troubleshooting for Inf1 - FAQ](faq/inference/trouble-shooting-faq.html#trouble-shooting-inf1-faq)\n \n- [TensorFlow 1.x FAQ](../frameworks/tensorflow/tensorflow-neuron/tf1_faq.html#tf1-faq)\n \n- [TensorFlow 2.x FAQ](../frameworks/tensorflow/tensorflow-neuron/tf2_faq.html#tf2-faq)\n \n- [NeuronPerf](../tools/neuronperf/neuronperf_faq.html#neuronperf-faq)\n \n\n## [Runtime FAQ](#id5)[#](#runtime-faq \"Permalink to this headline\")\n\n- [Neuron Runtime FAQ](../neuron-runtime/faq.html#neuron-runtime-faq)\n \n\n## [Compiler FAQ](#id6)[#](#compiler-faq \"Permalink to this headline\")\n\n- [Neuron Compiler FAQ (neuronx-cc)](../compiler/neuronx-cc/faq.html#neuronx-compiler-faq)\n \n- [Neuron Compiler FAQ (neuron-cc)](../compiler/neuron-cc/faq.html#neuron-compiler-faq)\n \n\n## [Neuron Containers](#id7)[#](#neuron-containers \"Permalink to this headline\")\n\n- [Neuron Containers FAQ](../containers/faq.html#container-faq)\n \n\n## [ONNX FAQ](#id8)[#](#onnx-faq \"Permalink to this headline\")\n\n- [ONNX FAQ](faq/onnx-faq.html#onnx-faq)\n \n\n## [Support](#id9)[#](#support \"Permalink to this headline\")\n\n- [Roadmap FAQ](faq/roadmap-faq.html#neuron-roadmap-faq)\n \n- [Contributing Guidelines FAQs](faq/contributing-faq.html#contribute-faq)\n \n\n_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`"},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Neuron FAQ — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link href=\"../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n\n \n <link rel=\"stylesheet\" href=\"../_static/vendor/fontawesome/5.13.0/css/all.min.css\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" 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<link rel=\"next\" title=\"Troubleshooting Guide\" href=\"troubleshooting.html\">\n <link rel=\"prev\" title=\"Generative LLM inference with Neuron\" href=\"appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\"> \n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n <meta name=\"docsearch:language\" content=\"en\">\n \n\n <!-- Google Analytics -->\n \n<style type=\"text/css\">\n ul.ablog-archive {\n list-style: none;\n overflow: auto;\n margin-left: 0px;\n }\n ul.ablog-archive li {\n float: left;\n margin-right: 5px;\n font-size: 80%;\n }\n ul.postlist a {\n font-style: italic;\n }\n ul.postlist-style-disc {\n list-style-type: disc;\n }\n ul.postlist-style-none {\n list-style-type: none;\n }\n ul.postlist-style-circle {\n list-style-type: circle;\n }\n</style>\n\n \n<!-- RTD Extra Head -->\n\n<link rel=\"stylesheet\" href=\"/_/static/css/readthedocs-doc-embed.css\" type=\"text/css\">\n\n<script type=\"application/json\" 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Documentation</h1>\n \n </a>\n</div><form class=\"bd-search d-flex align-items-center\" action=\"../search.html\" method=\"get\">\n <i class=\"icon fas fa-search\"></i>\n <input type=\"search\" class=\"form-control\" name=\"q\" id=\"search-input\" placeholder=\"Search the docs ...\" aria-label=\"Search the docs ...\" autocomplete=\"off\">\n</form><nav class=\"bd-links\" id=\"bd-docs-nav\" aria-label=\"Main\">\n <div class=\"bd-toc-item active\">\n <p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Overview\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/docs-quicklinks.html\">\n Quick Links\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/index.html\">\n Get Started with Neuron\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/github-samples.html\">\n GitHub Samples\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"benchmarks/index.html\">\n Performance\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../release-notes/index.html\">\n What’s New\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"announcements/index.html\">\n Announcements\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Frameworks\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/index.html\">\n PyTorch Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-1\" name=\"toctree-checkbox-1\" type=\"checkbox\">\n <label for=\"toctree-checkbox-1\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-setup.html\">\n Pytorch Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuronx.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-2\" name=\"toctree-checkbox-2\" type=\"checkbox\">\n <label for=\"toctree-checkbox-2\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorials-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-3\" name=\"toctree-checkbox-3\" type=\"checkbox\">\n <label for=\"toctree-checkbox-3\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/bert-base-cased-finetuned-mrpc-inference-on-trn1-tutorial.html\">\n Compiling and Deploying HuggingFace Pretrained BERT on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorial-torchserve-neuronx.html\">\n BERT TorchServe Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorial-libtorch.html\">\n LibTorch C++ Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-4\" name=\"toctree-checkbox-4\" type=\"checkbox\">\n <label for=\"toctree-checkbox-4\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx\">\n Transformers Neuron GitHub samples\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/inference-api-guide-torch-neuronx.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-5\" name=\"toctree-checkbox-5\" type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-26\" name=\"toctree-checkbox-26\" type=\"checkbox\">\n <label for=\"toctree-checkbox-26\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-28\" name=\"toctree-checkbox-28\" type=\"checkbox\">\n <label for=\"toctree-checkbox-28\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tracing-python-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label for=\"toctree-checkbox-31\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-32\" name=\"toctree-checkbox-32\" type=\"checkbox\">\n <label for=\"toctree-checkbox-32\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-33\" name=\"toctree-checkbox-33\" type=\"checkbox\">\n <label for=\"toctree-checkbox-33\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/api-compilation-python-api.html\">\n Neuron Apache MXNet (Incubating) Compilation Python API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-34\" name=\"toctree-checkbox-34\" type=\"checkbox\">\n <label for=\"toctree-checkbox-34\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/mxnet-neuron/flex-eg.html\">\n Flexible Execution Group (FlexEG) in Neuron-MXNet\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/misc-mxnet-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-35\" name=\"toctree-checkbox-35\" type=\"checkbox\">\n <label for=\"toctree-checkbox-35\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for Neuron Apache MXNet (Incubating)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/mxnet-neuron/mxnet-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-mxnet.html\">\n Neuron Apache MXNet (Incubating) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Libraries\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/index.html\">\n Transformers Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-36\" name=\"toctree-checkbox-36\" type=\"checkbox\">\n <label for=\"toctree-checkbox-36\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/setup/index.html\">\n Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-37\" name=\"toctree-checkbox-37\" type=\"checkbox\">\n <label for=\"toctree-checkbox-37\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/transformers-neuronx-developer-guide.html\">\n Transformers Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n transformers-neuronx\n </span>\n </code>\n ) Developer Guide\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/transformers-neuronx-tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-38\" name=\"toctree-checkbox-38\" type=\"checkbox\">\n <label for=\"toctree-checkbox-38\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" 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href=\"../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/misc-customops.html\">\n Misc (Neuron Custom C++ Operators)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-63\" name=\"toctree-checkbox-63\" type=\"checkbox\">\n <label for=\"toctree-checkbox-63\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/customcxxps/gpsimd-tools.html\">\n Neuron Custom C++ Tools Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/customcxxps/gpsimd-customop-lib.html\">\n Neuron Custom C++ Library Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" 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class=\"reference internal\" href=\"../tools/neuron-sys-tools/neuron-ls.html\">\n Neuron-LS User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/neuron-profile-user-guide.html\">\n Neuron Profile User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/neuron-sysfs-user-guide.html\">\n Neuron-Sysfs User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/nccom-test.html\">\n NCCOM-TEST User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" 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Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/rn.html\">\n What’s New\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-69\" name=\"toctree-checkbox-69\" type=\"checkbox\">\n <label for=\"toctree-checkbox-69\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tools/neuronperf.html\">\n NeuronPerf 1.x Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"calculator/neuron-calculator.html\">\n Neuron Calculator\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"setup/index.html\">\n Setup Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-70\" name=\"toctree-checkbox-70\" type=\"checkbox\">\n <label for=\"toctree-checkbox-70\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" name=\"toctree-checkbox-71\" type=\"checkbox\">\n <label for=\"toctree-checkbox-71\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-72\" name=\"toctree-checkbox-72\" type=\"checkbox\">\n <label for=\"toctree-checkbox-72\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/index.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-73\" name=\"toctree-checkbox-73\" type=\"checkbox\">\n <label for=\"toctree-checkbox-73\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/tutorial-infer.html\">\n Run inference in pytorch neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/k8s_rn50_demo.html\">\n Deploy a TensorFlow Resnet50 model as a Kubernetes service\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label for=\"toctree-checkbox-74\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/tutorial-training.html\">\n Run training in Pytorch Neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/k8s_mlp_train_demo.html\">\n Deploy a simple mlp training script as a Kubernetes job\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-75\" name=\"toctree-checkbox-75\" type=\"checkbox\">\n <label for=\"toctree-checkbox-75\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-79\" name=\"toctree-checkbox-79\" type=\"checkbox\">\n <label for=\"toctree-checkbox-79\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/index.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/index.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-80\" name=\"toctree-checkbox-80\" type=\"checkbox\">\n <label for=\"toctree-checkbox-80\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/ec2-flows.html\">\n AWS EC2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-82\" name=\"toctree-checkbox-82\" type=\"checkbox\">\n <label for=\"toctree-checkbox-82\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/inference/ec2-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-83\" name=\"toctree-checkbox-83\" type=\"checkbox\">\n <label for=\"toctree-checkbox-83\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/ec2-then-ec2-devflow.html\">\n Compile with Framework API and Deploy on EC2 Inf1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/ec2-then-ec2-devflow-inf2.html\">\n Compile with Framework API and Deploy on EC2 Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/training/ec2-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-84\" name=\"toctree-checkbox-84\" type=\"checkbox\">\n <label for=\"toctree-checkbox-84\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/training/ec2/ec2-training.html\">\n Train your model on EC2\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/eks-flows.html\">\n Amazon EKS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-85\" name=\"toctree-checkbox-85\" type=\"checkbox\">\n <label for=\"toctree-checkbox-85\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/inference/eks-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-86\" name=\"toctree-checkbox-86\" type=\"checkbox\">\n <label for=\"toctree-checkbox-86\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/training/eks-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/ecs-flows.html\">\n AWS ECS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-87\" name=\"toctree-checkbox-87\" type=\"checkbox\">\n <label for=\"toctree-checkbox-87\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/inference/ecs-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-88\" name=\"toctree-checkbox-88\" type=\"checkbox\">\n <label for=\"toctree-checkbox-88\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/training/ecs-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/sagemaker-flows.html\">\n Sagemaker\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-89\" name=\"toctree-checkbox-89\" type=\"checkbox\">\n <label for=\"toctree-checkbox-89\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/inference/sagemaker-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-90\" name=\"toctree-checkbox-90\" type=\"checkbox\">\n <label for=\"toctree-checkbox-90\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/byoc-hosting-devflow-inf2.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf2 or trn1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/byoc-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/neo-then-hosting-devflow.html\">\n Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/training/sagemaker-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-91\" name=\"toctree-checkbox-91\" type=\"checkbox\">\n <label for=\"toctree-checkbox-91\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/training/sm-devflow/sm-training-devflow.html\">\n Train your model on SageMaker\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sagemaker-samples\">\n AWS Neuron Sagemaker Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/parallelcluster-flows.html\">\n Parallel Cluster\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-92\" name=\"toctree-checkbox-92\" type=\"checkbox\">\n <label for=\"toctree-checkbox-92\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/inference/parallelcluster-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/training/parallelcluster-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-93\" name=\"toctree-checkbox-93\" type=\"checkbox\">\n <label for=\"toctree-checkbox-93\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/training/parallelcluster/parallelcluster-training.html\">\n Train your model on ParallelCluster\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/aws-batch-flows.html\">\n AWS Batch Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-94\" name=\"toctree-checkbox-94\" type=\"checkbox\">\n <label for=\"toctree-checkbox-94\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/inference/aws-batch-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/training/aws-batch-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Learning Neuron\n </span>\n</p>\n<ul class=\"current nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"arch/index.html\">\n Architecture\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-95\" name=\"toctree-checkbox-95\" type=\"checkbox\">\n <label for=\"toctree-checkbox-95\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/inf1-arch.html\">\n AWS Inf1 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/trn1-arch.html\">\n AWS Trn1/Trn1n Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/inf2-arch.html\">\n AWS Inf2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/inferentia.html\">\n Inferentia Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/inferentia2.html\">\n Inferentia2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/trainium.html\">\n Trainium Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/neuroncores-arch.html\">\n AWS NeuronCore Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/model-architecture-fit.html\">\n Neuron Model Architecture Fit Guidelines\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/glossary.html\">\n Neuron Glossary\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"arch/neuron-features/index.html\">\n Features\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-96\" name=\"toctree-checkbox-96\" type=\"checkbox\">\n <label for=\"toctree-checkbox-96\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/data-types.html\">\n Data Types\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/rounding-modes.html\">\n Rounding Modes\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuroncore-batching.html\">\n Neuron Batching\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuroncore-pipeline.html\">\n NeuronCore Pipeline\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/collective-communication.html\">\n Collective Communication\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/control-flow.html\">\n Neuron Control Flow\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/custom-c%2B%2B-operators.html\">\n Neuron Custom C++ Operators\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/dynamic-shapes.html\">\n Neuron Dynamic Shapes\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"appnotes/index.html\">\n Application Notes\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-97\" name=\"toctree-checkbox-97\" type=\"checkbox\">\n <label for=\"toctree-checkbox-97\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"announcements/neuron2.x/neuron2-intro.html\">\n Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"appnotes/neuron1x/introducing-libnrt.html\">\n Introducing Neuron Runtime 2.x (libnrt.so)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"appnotes/perf/neuron-cc/performance-tuning.html\">\n Performance Tuning\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"appnotes/perf/neuron-cc/parallel-ncgs.html\">\n Parallel Execution using NEURON_RT_NUM_CORES\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/rcnn-app-note.html\">\n Running R-CNNs on Inf1\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">\n Generative LLM inference with Neuron\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 current active\">\n <a class=\"current reference internal\" href=\"#\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n About Neuron\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../release-notes/release.html\">\n Release Details\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"roadmap-readme.html\">\n Roadmap\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-98\" name=\"toctree-checkbox-98\" type=\"checkbox\">\n <label for=\"toctree-checkbox-98\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference external\" href=\"https://github.com/orgs/aws-neuron/projects/1/views/1\">\n Neuron Public Roadmap\n </a>\n </li>\n </ul>\n 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class=\"headerbtn__text-container\">.rst</span>\n</a>\n\n </li>\n \n <li>\n \n<button onclick=\"printPdf(this)\" class=\"headerbtn\" data-toggle=\"tooltip\" data-placement=\"left\" title=\"\" data-original-title=\"Print to PDF\">\n \n\n<span class=\"headerbtn__icon-container\">\n <i class=\"fas fa-file-pdf\"></i>\n </span>\n<span class=\"headerbtn__text-container\">.pdf</span>\n</button>\n\n </li>\n \n </ul>\n </div>\n</div>\n<label for=\"__page-toc\" class=\"headerbtn headerbtn-page-toc\">\n \n\n<span class=\"headerbtn__icon-container\">\n <i class=\"fas fa-list\"></i>\n </span>\n\n</label>\n\n </div>\n</div>\n\n<!-- Table of contents -->\n<div class=\"col-md-3 bd-toc show noprint\">\n <div class=\"tocsection onthispage pt-5 pb-3\">\n <i class=\"fas fa-list\"></i> Contents\n </div>\n <nav id=\"bd-toc-nav\" aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-2-x-faq\">\n Neuron 2.x FAQ\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#training-only-faq\">\n Training Only FAQ\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#inference-only-faq\">\n Inference Only FAQ\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#runtime-faq\">\n Runtime FAQ\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiler-faq\">\n Compiler FAQ\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-containers\">\n Neuron Containers\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#onnx-faq\">\n ONNX FAQ\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#support\">\n Support\n </a>\n </li>\n</ul>\n\n </nav>\n</div>\n </div>\n <div class=\"article row\">\n <div class=\"col pl-md-3 pl-lg-5 content-container\">\n <!-- Table of contents that is only displayed when printing the page -->\n <div id=\"jb-print-docs-body\" class=\"onlyprint\">\n <h1>Neuron FAQ</h1>\n <!-- Table of contents -->\n <div id=\"print-main-content\">\n <div id=\"jb-print-toc\">\n \n <div>\n <h2> Contents </h2>\n </div>\n <nav aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-2-x-faq\">\n Neuron 2.x FAQ\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#training-only-faq\">\n Training Only FAQ\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#inference-only-faq\">\n Inference Only FAQ\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#runtime-faq\">\n Runtime FAQ\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compiler-faq\">\n Compiler FAQ\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-containers\">\n Neuron Containers\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#onnx-faq\">\n ONNX FAQ\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#support\">\n Support\n </a>\n </li>\n</ul>\n\n </nav>\n </div>\n </div>\n </div>\n <main id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n<div class=\"section\" id=\"neuron-faq\">\n<span id=\"id1\"></span><h1>Neuron FAQ<a class=\"headerlink\" href=\"#neuron-faq\" title=\"Permalink to this headline\">#</a></h1>\n<div class=\"contents local topic\" id=\"table-of-contents\">\n<p class=\"topic-title\">Table of contents</p>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"#neuron-2-x-faq\" id=\"id2\">Neuron 2.x FAQ</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#training-only-faq\" id=\"id3\">Training Only FAQ</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#inference-only-faq\" id=\"id4\">Inference Only FAQ</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#runtime-faq\" id=\"id5\">Runtime FAQ</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#compiler-faq\" id=\"id6\">Compiler FAQ</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#neuron-containers\" id=\"id7\">Neuron Containers</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#onnx-faq\" id=\"id8\">ONNX FAQ</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#support\" id=\"id9\">Support</a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"neuron-2-x-faq\">\n<h2><a class=\"toc-backref\" href=\"#id2\">Neuron 2.x FAQ</a><a class=\"headerlink\" href=\"#neuron-2-x-faq\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"faq/neuron2-intro-faq.html#neuron2-intro-faq\"><span class=\"std std-ref\">Neuron 2.x Introduction at Trn1 GA - FAQ</span></a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"training-only-faq\">\n<h2><a class=\"toc-backref\" href=\"#id3\">Training Only FAQ</a><a class=\"headerlink\" href=\"#training-only-faq\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"faq/training/neuron-training.html#neuron-training-faq\"><span class=\"std std-ref\">Training with Neuron - FAQ</span></a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"inference-only-faq\">\n<h2><a class=\"toc-backref\" href=\"#id4\">Inference Only FAQ</a><a class=\"headerlink\" href=\"#inference-only-faq\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"faq/inference/neuron-faq.html#neuron-f1-faq\"><span class=\"std std-ref\">Inference with Neuron - FAQ</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"faq/inference/trouble-shooting-faq.html#trouble-shooting-inf1-faq\"><span class=\"std std-ref\">Troubleshooting for Inf1 - FAQ</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tf1_faq.html#tf1-faq\"><span class=\"std std-ref\">TensorFlow 1.x FAQ</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tf2_faq.html#tf2-faq\"><span class=\"std std-ref\">TensorFlow 2.x FAQ</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_faq.html#neuronperf-faq\"><span class=\"std std-ref\">NeuronPerf</span></a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"runtime-faq\">\n<h2><a class=\"toc-backref\" href=\"#id5\">Runtime FAQ</a><a class=\"headerlink\" href=\"#runtime-faq\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../neuron-runtime/faq.html#neuron-runtime-faq\"><span class=\"std std-ref\">Neuron Runtime FAQ</span></a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"compiler-faq\">\n<h2><a class=\"toc-backref\" href=\"#id6\">Compiler FAQ</a><a class=\"headerlink\" href=\"#compiler-faq\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../compiler/neuronx-cc/faq.html#neuronx-compiler-faq\"><span class=\"std std-ref\">Neuron Compiler FAQ (neuronx-cc)</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"../compiler/neuron-cc/faq.html#neuron-compiler-faq\"><span class=\"std std-ref\">Neuron Compiler FAQ (neuron-cc)</span></a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"neuron-containers\">\n<h2><a class=\"toc-backref\" href=\"#id7\">Neuron Containers</a><a class=\"headerlink\" href=\"#neuron-containers\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../containers/faq.html#container-faq\"><span class=\"std std-ref\">Neuron Containers FAQ</span></a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"onnx-faq\">\n<h2><a class=\"toc-backref\" href=\"#id8\">ONNX FAQ</a><a class=\"headerlink\" href=\"#onnx-faq\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"faq/onnx-faq.html#onnx-faq\"><span class=\"std std-ref\">ONNX FAQ</span></a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"support\">\n<h2><a class=\"toc-backref\" href=\"#id9\">Support</a><a class=\"headerlink\" href=\"#support\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"faq/roadmap-faq.html#neuron-roadmap-faq\"><span class=\"std std-ref\">Roadmap FAQ</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"faq/contributing-faq.html#contribute-faq\"><span class=\"std std-ref\">Contributing Guidelines FAQs</span></a></p></li>\n</ul>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span 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Troubleshooting](#setup-troubleshooting)"},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Troubleshooting Guide — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link href=\"../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n\n \n <link rel=\"stylesheet\" href=\"../_static/vendor/fontawesome/5.13.0/css/all.min.css\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" href=\"../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" href=\"../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2\">\n\n <link rel=\"stylesheet\" type=\"text/css\" 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Table of Contents</div>\n</label>\n<!-- Headers at the top -->\n<div class=\"announcement header-item noprint\">Neuron 2.14.0 is released! check <a class=\"reference internal\" style=\"color:white;\" href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/latest/release-notes/index.html#latest-neuron-release\"> What's New </a> and <a class=\"reference internal\" style=\"color:white;\" href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/latest/general/announcements/index.html\"> Announcements </a></div>\n<div class=\"header header-item noprint\"></div>\n\n \n <div class=\"container-fluid\" id=\"banner\"></div>\n\n \n\n <div class=\"container-xl\">\n <div class=\"row\">\n \n<!-- Sidebar -->\n<div class=\"bd-sidebar noprint\" id=\"site-navigation\">\n <div class=\"bd-sidebar__content\">\n <div class=\"bd-sidebar__top\"><div class=\"navbar-brand-box\">\n <a class=\"navbar-brand text-wrap\" href=\"../index.html\">\n \n <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->\n \n \n \n <img src=\"../_static/Site-Merch_Neuron-ML-SDK_Editorial.png\" class=\"logo\" alt=\"logo\">\n \n \n <h1 class=\"site-logo\" id=\"site-title\">AWS Neuron Documentation</h1>\n \n </a>\n</div><form class=\"bd-search d-flex align-items-center\" action=\"../search.html\" method=\"get\">\n <i class=\"icon fas fa-search\"></i>\n <input type=\"search\" class=\"form-control\" name=\"q\" id=\"search-input\" placeholder=\"Search the docs ...\" aria-label=\"Search the docs ...\" autocomplete=\"off\">\n</form><nav class=\"bd-links\" id=\"bd-docs-nav\" aria-label=\"Main\">\n <div class=\"bd-toc-item active\">\n <p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Overview\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/docs-quicklinks.html\">\n Quick Links\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/index.html\">\n Get Started with Neuron\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/github-samples.html\">\n GitHub Samples\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"benchmarks/index.html\">\n Performance\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../release-notes/index.html\">\n What’s New\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"announcements/index.html\">\n Announcements\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Frameworks\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/index.html\">\n PyTorch Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-1\" name=\"toctree-checkbox-1\" type=\"checkbox\">\n <label for=\"toctree-checkbox-1\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-setup.html\">\n Pytorch Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuronx.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-2\" name=\"toctree-checkbox-2\" type=\"checkbox\">\n <label for=\"toctree-checkbox-2\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorials-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-3\" name=\"toctree-checkbox-3\" type=\"checkbox\">\n <label for=\"toctree-checkbox-3\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/bert-base-cased-finetuned-mrpc-inference-on-trn1-tutorial.html\">\n Compiling and Deploying HuggingFace Pretrained BERT on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorial-torchserve-neuronx.html\">\n BERT TorchServe Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorial-libtorch.html\">\n LibTorch C++ Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-4\" name=\"toctree-checkbox-4\" type=\"checkbox\">\n <label for=\"toctree-checkbox-4\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx\">\n Transformers Neuron GitHub samples\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/inference-api-guide-torch-neuronx.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-5\" name=\"toctree-checkbox-5\" type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-26\" name=\"toctree-checkbox-26\" type=\"checkbox\">\n <label for=\"toctree-checkbox-26\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-28\" name=\"toctree-checkbox-28\" type=\"checkbox\">\n <label for=\"toctree-checkbox-28\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tracing-python-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference 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Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 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Flexible Execution Group (FlexEG) in Neuron-MXNet\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/misc-mxnet-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-35\" name=\"toctree-checkbox-35\" type=\"checkbox\">\n <label for=\"toctree-checkbox-35\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for Neuron Apache MXNet (Incubating)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/mxnet-neuron/mxnet-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-mxnet.html\">\n Neuron Apache MXNet (Incubating) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Libraries\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/index.html\">\n Transformers Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-36\" name=\"toctree-checkbox-36\" type=\"checkbox\">\n <label for=\"toctree-checkbox-36\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/setup/index.html\">\n Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-37\" name=\"toctree-checkbox-37\" 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href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-66b-sampling.ipynb\">\n Hugging Face facebook/opt-66b autoregressive sampling on Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/transformers-neuronx-misc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-39\" name=\"toctree-checkbox-39\" type=\"checkbox\">\n <label for=\"toctree-checkbox-39\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/torch/transformers-neuronx/index.html\">\n Transformers Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n transformers-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/index.html\">\n Neuron Distributed\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-40\" name=\"toctree-checkbox-40\" type=\"checkbox\">\n <label for=\"toctree-checkbox-40\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/setup/index.html\">\n Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/app_notes.html\">\n App Notes\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-41\" name=\"toctree-checkbox-41\" type=\"checkbox\">\n <label for=\"toctree-checkbox-41\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tensor_parallelism_overview.html\">\n Tensor Parallelism Overview\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-42\" name=\"toctree-checkbox-42\" type=\"checkbox\">\n <label for=\"toctree-checkbox-42\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/api_guide.html\">\n API Reference Guide (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-43\" name=\"toctree-checkbox-43\" type=\"checkbox\">\n <label 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class=\"reference internal\" href=\"../libraries/neuronx-distributed/tutorials/training-gpt-neox.html\">\n Training GPT-NeoX 6.9B using TP and ZeRO-1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tutorials/training-gpt-neox-20b.html\">\n Training GPT-NeoX 20B using TP and ZeRO-1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/neuronx_distributed/t5-inference/t5-inference-tutorial.html\">\n T5 inference with Tensor Parallelism\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tutorials/inference.html\">\n Inference using Tensor Parallelism\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/neuronx-distributed-misc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-45\" 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href=\"../release-notes/runtime/aws-neuronx-runtime-lib/index.html\">\n Neuron Runtime Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/runtime/aws-neuronx-dkms/index.html\">\n Neuron Driver Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/runtime/aws-neuronx-collectives/index.html\">\n Neuron Collectives Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../compiler/index.html\">\n Neuron Compiler\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-50\" name=\"toctree-checkbox-50\" type=\"checkbox\">\n <label for=\"toctree-checkbox-50\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../compiler/neuronx-cc.html\">\n Neuron Compiler for Trn1 & Inf2\n </a>\n 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class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuronx-cc/index.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../compiler/neuron-cc.html\">\n Neuron Compiler for Inf1\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-55\" name=\"toctree-checkbox-55\" type=\"checkbox\">\n <label for=\"toctree-checkbox-55\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../compiler/neuron-cc/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-56\" name=\"toctree-checkbox-56\" type=\"checkbox\">\n <label for=\"toctree-checkbox-56\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" 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href=\"../compiler/neuron-cc/misc-neuron-cc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-58\" name=\"toctree-checkbox-58\" type=\"checkbox\">\n <label for=\"toctree-checkbox-58\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../compiler/neuron-cc/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html\">\n Neuron Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/index.html\">\n Neuron C++ Custom Operators\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-59\" 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href=\"../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/misc-customops.html\">\n Misc (Neuron Custom C++ Operators)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-63\" name=\"toctree-checkbox-63\" type=\"checkbox\">\n <label for=\"toctree-checkbox-63\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/customcxxps/gpsimd-tools.html\">\n Neuron Custom C++ Tools Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/customcxxps/gpsimd-customop-lib.html\">\n Neuron Custom C++ Library Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" 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class=\"reference internal\" href=\"../tools/neuron-sys-tools/neuron-ls.html\">\n Neuron-LS User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/neuron-profile-user-guide.html\">\n Neuron Profile User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/neuron-sysfs-user-guide.html\">\n Neuron-Sysfs User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/nccom-test.html\">\n NCCOM-TEST User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" 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class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_overview.html\">\n Overview\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_terminology.html\">\n Terminology\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_evaluate_guide.html\">\n Evaluate Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_compile_guide.html\">\n Compile Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_model_index_guide.html\">\n Model Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/rn.html\">\n What’s New\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-69\" name=\"toctree-checkbox-69\" type=\"checkbox\">\n <label for=\"toctree-checkbox-69\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tools/neuronperf.html\">\n NeuronPerf 1.x Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"calculator/neuron-calculator.html\">\n Neuron Calculator\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"setup/index.html\">\n Setup Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-70\" name=\"toctree-checkbox-70\" type=\"checkbox\">\n <label for=\"toctree-checkbox-70\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" name=\"toctree-checkbox-71\" type=\"checkbox\">\n <label for=\"toctree-checkbox-71\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-72\" name=\"toctree-checkbox-72\" type=\"checkbox\">\n <label for=\"toctree-checkbox-72\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/index.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-73\" name=\"toctree-checkbox-73\" type=\"checkbox\">\n <label for=\"toctree-checkbox-73\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/tutorial-infer.html\">\n Run inference in pytorch neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/k8s_rn50_demo.html\">\n Deploy a TensorFlow Resnet50 model as a Kubernetes service\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label for=\"toctree-checkbox-74\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/tutorial-training.html\">\n Run training in Pytorch Neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/k8s_mlp_train_demo.html\">\n Deploy a simple mlp training script as a Kubernetes job\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-75\" name=\"toctree-checkbox-75\" type=\"checkbox\">\n <label for=\"toctree-checkbox-75\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n 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href=\"https://github.com/aws-neuron/aws-neuron-sagemaker-samples\">\n AWS Neuron Sagemaker Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/parallelcluster-flows.html\">\n Parallel Cluster\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-92\" name=\"toctree-checkbox-92\" type=\"checkbox\">\n <label for=\"toctree-checkbox-92\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/inference/parallelcluster-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/training/parallelcluster-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-93\" name=\"toctree-checkbox-93\" type=\"checkbox\">\n <label for=\"toctree-checkbox-93\">\n <i class=\"fas fa-chevron-down\">\n </i>\n 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content-container\">\n <!-- Table of contents that is only displayed when printing the page -->\n <div id=\"jb-print-docs-body\" class=\"onlyprint\">\n <h1>Troubleshooting Guide</h1>\n <!-- Table of contents -->\n <div id=\"print-main-content\">\n <div id=\"jb-print-toc\">\n \n <div>\n <h2> Contents </h2>\n </div>\n <nav aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#training-only-troubleshooting\">\n Training Only Troubleshooting\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#inference-only-troubleshooting\">\n Inference Only Troubleshooting\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#runtime-troubleshooting\">\n Runtime Troubleshooting\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#containers-troubleshooting\">\n Containers Troubleshooting\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#setup-troubleshooting\">\n Setup Troubleshooting\n </a>\n </li>\n</ul>\n\n </nav>\n </div>\n </div>\n </div>\n <main id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n<div class=\"section\" id=\"troubleshooting-guide\">\n<span id=\"general-troubleshooting\"></span><h1>Troubleshooting Guide<a class=\"headerlink\" href=\"#troubleshooting-guide\" title=\"Permalink to this headline\">#</a></h1>\n<div class=\"contents local topic\" id=\"table-of-contents\">\n<p class=\"topic-title\">Table of contents</p>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"#training-only-troubleshooting\" id=\"id1\">Training Only Troubleshooting</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#inference-only-troubleshooting\" id=\"id2\">Inference Only Troubleshooting</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#runtime-troubleshooting\" id=\"id3\">Runtime Troubleshooting</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#containers-troubleshooting\" id=\"id4\">Containers Troubleshooting</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#setup-troubleshooting\" id=\"id5\">Setup Troubleshooting</a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"training-only-troubleshooting\">\n<h2><a class=\"toc-backref\" href=\"#id1\">Training Only Troubleshooting</a><a class=\"headerlink\" href=\"#training-only-troubleshooting\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/training-troubleshooting.html#pytorch-neuron-traning-troubleshooting\"><span class=\"std std-ref\">PyTorch Neuron for Training</span></a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"inference-only-troubleshooting\">\n<h2><a class=\"toc-backref\" href=\"#id2\">Inference Only Troubleshooting</a><a class=\"headerlink\" href=\"#inference-only-troubleshooting\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/troubleshooting-guide.html#pytorch-neuron-inference-troubleshooting\"><span class=\"std std-ref\">PyTorch Neuron for Inference</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_troubleshooting.html#neuronperf-troubleshooting\"><span class=\"std std-ref\">NeuronPerf</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/troubleshooting-guide.html#mxnet-troubleshooting-guide\"><span class=\"std std-ref\">MXNet Neuron</span></a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"runtime-troubleshooting\">\n<h2><a class=\"toc-backref\" href=\"#id3\">Runtime Troubleshooting</a><a class=\"headerlink\" href=\"#runtime-troubleshooting\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../neuron-runtime/nrt-troubleshoot.html#nrt-troubleshooting\"><span class=\"std std-ref\">Neuron Runtime Troubleshooting on Inf1 and Trn1</span></a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"containers-troubleshooting\">\n<h2><a class=\"toc-backref\" href=\"#id4\">Containers Troubleshooting</a><a class=\"headerlink\" href=\"#containers-troubleshooting\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../containers/troubleshooting.html#container-troubleshooting\"><span class=\"std std-ref\">Containers</span></a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"setup-troubleshooting\">\n<h2><a class=\"toc-backref\" href=\"#id5\">Setup Troubleshooting</a><a class=\"headerlink\" href=\"#setup-troubleshooting\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"setup/setup-troubleshooting.html#neuron-setup-troubleshooting\"><span class=\"std std-ref\">Neuron Setup Troubleshooting</span></a></p></li>\n</ul>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n</div>\n</div>\n\n<div class=\"section\">\n \n</div>\n\n </div>\n \n </main>\n <footer class=\"footer-article noprint\">\n \n <!-- Previous / next buttons -->\n<div class=\"prev-next-area\">\n <a class=\"left-prev\" id=\"prev-link\" href=\"faq.html\" title=\"previous page\">\n <i class=\"fas fa-angle-left\"></i>\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">previous</p>\n <p class=\"prev-next-title\">Neuron FAQ</p>\n </div>\n </a>\n <a class=\"right-next\" id=\"next-link\" href=\"../release-notes/release.html\" title=\"next page\">\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">next</p>\n <p class=\"prev-next-title\">Release Details</p>\n </div>\n <i class=\"fas fa-angle-right\"></i>\n </a>\n</div>\n </footer>\n </div>\n </div>\n <div class=\"footer-content row\">\n <footer class=\"col footer\"><p>\n \n By AWS<br>\n \n © Copyright 2023, Amazon.com.<br>\n</p>\n </footer>\n </div>\n \n</div>\n\n\n </div>\n </div>\n \n <!-- Scripts loaded after <body> so the DOM is not blocked -->\n <script src=\"../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf\"></script>\n\n\n \n</body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:23.735Z"}}},{"rowIdx":287,"cells":{"title":{"kind":"string","value":"Parallel Execution using NEURON_RT_NUM_CORES — AWS Neuron Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/appnotes/perf/neuron-cc/parallel-ncgs.html"},"markdown":{"kind":"string","value":"# Parallel Execution using NEURON\\_RT\\_NUM\\_CORES — AWS Neuron Documentation\n\n_This document is relevant for_: `Inf1`\n\n## Parallel Execution using NEURON\\_RT\\_NUM\\_CORES[#](#parallel-execution-using-neuron-rt-num-cores \"Permalink to this headline\")\n\n## Introduction[#](#introduction \"Permalink to this headline\")\n\nInf1 instances are available with a different number of Inferentia chips, each Inferentia chip is combined of 4 NeuronCores and an Inf1 instance includes 4 to 64 NeuronCores depending on the instance size. This guide will show you how to load one or more compiled models into different consecutive groups of NeuronCores using your framework of choice.\n\n## Data Parallel Execution[#](#data-parallel-execution \"Permalink to this headline\")\n\nIn PyTorch and TensorFlow, the same compiled model can run in parallel on an Inf1 instance by loading it multiple times, up to the total number of NeuronCores specified in NEURON\\_RT\\_NUM\\_CORES or NEURON\\_RT\\_VISIBLE\\_CORES. For more information about NEURON\\_RT\\_NUM\\_CORES and NEURON\\_RT\\_VISIBLE\\_CORES, please refer to [Neuron Runtime Configuration](../../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration).\n\n### Running multiple models using single process[#](#running-multiple-models-using-single-process \"Permalink to this headline\")\n\nTo run multiple models using single process, you set the environment variable `NEURON_RT_NUM_CORES` with a comma separated list of number of cores in each group.\n\nYou can set `NEURON_RT_NUM_CORES` environment variable at runtime:\n\n```\n#!/bin/bash\nNEURON_RT_NUM_CORES=13 python your_neuron_application.py\n\n```\n\nOr from within your python process running your models (NOTE: you can only set it once in the same process at the beginning of the script):\n\n```\n#!/usr/bin/env python\nimport os\n\n# Set Environment\nos.environ['NEURON_RT_NUM_CORES']='13'\n\n# Load models and run inferences ...\n\n```\n\nThe below examples allow you to load 4 models into 4 groups of NeuronCores within one process. For example, if there are 4 models A, B, C, D compiled to 2, 4, 3, and 4 NeuronCores respectively, you directly load the models A, B, C, D in sequence within your TensorFlow or PyTorch Neuron process. This example requires an inf1.6xlarge instance with 16 NeuronCores, as the total number of NeuronCores within the NeuronCore Groups is 13.\n\nIn MXNet, the mapping from models to NeuronCores is controlled by context `mx.neuron(neuron_core_index)` where `neuron_core_index` is the NeuronCore index at the start of the group. In the example above, you map model A to `mx.neuron(0)` context, model B to `mx.neuron(2)` context, model C to `mx.neuron(6)` context and model D to `mx.neuron(9)` context. For further details, please refer to [Flexible Execution Group (FlexEG) in Neuron-MXNet](../../mxnet-neuron/flex-eg.html#flexeg).\n\nFor PyTorch\n\nFor an automated data parallel solution in PyTorch, please see [Data Parallel Inference on Torch Neuron](../../torch-neuron/torch-neuron-dataparallel-app-note.html#torch-neuron-dataparallel-app-note) for more details.\n\nFor Tensorflow\n\n```\n# Set Environment\nos.environ['NEURON_RT_NUM_CORES']='13'\n\n# Load models (TF2)\nmodel0 = tf.keras.models.load_model(model0_file) # loaded into the first group of NC0-NC1\nmodel1 = tf.keras.models.load_model(model1_file) # loaded into the second group of NC2-NC5\nmodel2 = tf.keras.models.load_model(model1_file) # loaded into the third group of NC6-NC8\nmodel3 = tf.keras.models.load_model(model1_file) # loaded into the fourth group of NC9-NC12\n\n# run inference by simply calling the loaded model\nresults0 = model0(inputs0)\nresults1 = model1(inputs1)\nresults2 = model2(inputs2)\nresults3 = model3(inputs3)\n\n```\n\nFor MXNet 2.x:\n\n```\n# Set Environment\nos.environ['NEURON_RT_NUM_CORES']='13'\n\n# Load models (MXNet)\n# loaded into the first group of NC0-NC1\nsym, args, aux = mx.model.load_checkpoint(mx_model0_file, 0)\nmodel0 = sym.bind(ctx=mx.neuron(0), args=args, aux_states=aux, grad_req='null')\n# loaded into the second group of NC2-NC5\nsym, args, aux = mx.model.load_checkpoint(mx_model1_file, 0)\nmodel1 = sym.bind(ctx=mx.neuron(2), args=args, aux_states=aux, grad_req='null')\n# loaded into the third group of NC6-NC8\nsym, args, aux = mx.model.load_checkpoint(mx_model2_file, 0)\nmodel2 = sym.bind(ctx=mx.neuron(6), args=args, aux_states=aux, grad_req='null')\n# loaded into the fourth group of NC9-NC12\nsym, args, aux = mx.model.load_checkpoint(mx_model3_file, 0)\nmodel3 = sym.bind(ctx=mx.neuron(9), args=args, aux_states=aux, grad_req='null')\n\n# run inference by simply calling the loaded model\nresults0 = model0.forward(data=inputs0)\nresults1 = model1.forward(data=inputs1)\nresults2 = model2.forward(data=inputs2)\nresults3 = model3.forward(data=inputs3)\n\n```\n\nYou can identify the NeuronCores used by each application using the `neuron-top` command line tool. For more information about the neuron-top user interface, please see [Neuron Top User Guide](../../../../tools/neuron-sys-tools/neuron-top-user-guide.html#neuron-top-ug).\n\n[](../../../../_images/multi_1core_models_multi_processes.png)\n\n### Running multiple models using multiple processes[#](#running-multiple-models-using-multiple-processes \"Permalink to this headline\")\n\nYou can also run multiple models in parallel processes, when you set `NEURON_RT_NUM_CORES` per process:\n\n```\n$ NEURON_RT_NUM_CORES=2 python your_1st_neuron_application.py\n$ NEURON_RT_NUM_CORES=2 python your_2nd_neuron_application.py\n\n```\n\nThe first process automatically selects a first set of 2 unused NeuronCores for its new group. The second process automatically selects a new set of 2 unused NeuronCores for its new group.\n\n[](../../../../_images/multi_2cores_models_multi_processes.png)\n\n### Running multiple models on the same NeuronCore group[#](#running-multiple-models-on-the-same-neuroncore-group \"Permalink to this headline\")\n\nYou can load more than one model in a NeuronCore group within one process. The Neuron runtime will handle switching from one model to the next model within the NeuronCore group when the next model is run within the application. In TensorFlow or PyTorch, simply load the additional models after the initial number of models have been loaded, to fill the NeuronCore groups associated with the process.\n\nFor PyTorch:\n\n```\n# Set Environment\nos.environ['NEURON_RT_NUM_CORES']='2'\n\n# Load models (PT)\nmodel0 = torch.jit.load(model0_file) # loaded into the first group of NC0-NC1\nmodel1 = torch.jit.load(model1_file) # loaded into the first group of NC0-NC1\n\n# run inference by simply calling the loaded model\nresults0 = model0(inputs0)\nresults1 = model1(inputs1)\n\n```\n\nFor TensorFlow 2.x:\n\n```\n# Set Environment\nos.environ['NEURON_RT_NUM_CORES']='2'\n\n# Load models (TF2)\nmodel0 = tf.keras.models.load_model(model0_file) # loaded into the first group of NC0-NC1\nmodel1 = tf.keras.models.load_model(model1_file) # loaded into the first group of NC0-NC1\n\n# run inference by simply calling the loaded model\nresults0 = model0(inputs0)\nresults1 = model1(inputs1)\n\n```\n\nIn MXNet, use context `mx.neuron(neuron_core_index)` and use the same NeuronCore start index for the additional models.\n\n```\n# Set Environment\nos.environ['NEURON_RT_NUM_CORES']='2'\n\n# Load models (MXNet)\n# loaded into the first group of NC0-NC1\nsym, args, aux = mx.model.load_checkpoint(mx_model0_file, 0)\nmodel0 = sym.bind(ctx=mx.neuron(0), args=args, aux_states=aux, grad_req='null')\n# loaded into the first group of NC0-NC1\nsym, args, aux = mx.model.load_checkpoint(mx_model1_file, 0)\nmodel1 = sym.bind(ctx=mx.neuron(0), args=args, aux_states=aux, grad_req='null')\n\n# run inference by simply calling the loaded model\nresults0 = model0.forward(data=inputs0)\nresults1 = model1.forward(data=inputs1)\n\n```\n\nThe total `NEURON_RT_NUM_CORES` across all processes cannot exceed the number of NeuronCores available on the instance. For example, on an inf1.xlarge with default configurations where the total number of NeuronCores visible to TensorFlow-Neuron is 4, you can launch one process with `NEURON_RT_NUM_CORES=2` (pipelined) and another process with `NEURON_RT_NUM_CORES=2` (data-parallel).\n\nExamples using `NEURON_RT_NUM_CORES` include:\n\n- [PyTorch example](../../../../src/examples/pytorch/resnet50.html)\n \n- [MXNet example](../../../../src/examples/mxnet/resnet50_neuroncore_groups.html)\n \n\n## Auto Model Replication (Being Deprecated)[#](#auto-model-replication-being-deprecated \"Permalink to this headline\")\n\nThe Auto Model Replication feature in TensorFlow-Neuron enables you to load the model once and the data parallel replication would happen automatically. This reduces framework memory usage as you are not loading the same model multiple times. This feature is experimental and available in TensorFlow-Neuron only.\n\nTo enable Auto Model Replication, set NEURONCORE\\_GROUP\\_SIZES to Nx1 where N is the desired replication count (the number of NeuronCore groups, each group has size 1). For example, NEURONCORE\\_GROUP\\_SIZES=8x1 would automatically replicate the single-NeuronCore model 8 times.\n\n```\nos.environ['NEURONCORE_GROUP_SIZES'] = '4x1'\n\n```\n\nor\n\n```\nNEURONCORE_GROUP_SIZES=4x1 python3 application.py\n\n```\n\nWhen NEURONCORE\\_GROUP\\_SIZES is not set, the default is 4x1 where a single-NeuronCore model is replicated 4 times on any sized inf1 machine.\n\nThis feature is only available for models compiled with neuroncore-pipeline-cores set to 1 (default).\n\nYou will still need to use threads in the scaffolding code to feed the loaded replicated model instance in order to achieve high throughput.\n\nExample of auto model replication: [Running OpenPose on Inferentia](../../../../src/examples/tensorflow/openpose_demo/openpose.html)\n\n## FAQ[#](#faq \"Permalink to this headline\")\n\n### Can I mix data parallel and NeuronCore Pipeline?[#](#can-i-mix-data-parallel-and-neuroncore-pipeline \"Permalink to this headline\")\n\nYes. You can compile the model using neuroncore-pipeline-cores option. This tells the compiler to set compilation to the specified number of cores for [NeuronCore Pipeline](../../../arch/neuron-features/neuroncore-pipeline.html#neuroncore-pipeline). The Neuron Compiler will return a NEFF which fits within this limit. See the [Neuron compiler CLI Reference Guide (neuron-cc)](../../../../compiler/neuron-cc/command-line-reference.html#neuron-compiler-cli-reference) on how to use this option.\n\nFor example, on an inf1.2xlarge, you can load two model instances, each compiled with neuroncore-pipeline-cores set to 2, so that they can run in parallel. The model instances can be loaded from different saved models or from the same saved model.\n\n### Can I have a mix of multiple models in one Neuroncore group and single model in another one Neuroncore group?[#](#can-i-have-a-mix-of-multiple-models-in-one-neuroncore-group-and-single-model-in-another-one-neuroncore-group \"Permalink to this headline\")\n\nCurrently, you can do this in MXNet by setting up two Neuroncore groups, then load for example multiple models in one NCG using context mx.neuron(0), and load single model in the second NCG using context mx.neuron(2). You can also load single model in the first NCG and multiple models in the second NCG. For example:\n\n```\n# Set Environment\nos.environ['NEURON_RT_NUM_CORES']='6'\n\n# Load models (MXNet)\n# loaded into the first group of NC0-NC1\nsym, args, aux = mx.model.load_checkpoint(mx_model0_file, 0)\nmodel0 = sym.bind(ctx=mx.neuron(0), args=args, aux_states=aux, grad_req='null')\n# loaded into the second group of NC2-NC5\nsym, args, aux = mx.model.load_checkpoint(mx_model1_file, 0)\nmodel1 = sym.bind(ctx=mx.neuron(2), args=args, aux_states=aux, grad_req='null')\n# loaded into the second group of NC2-NC5\nsym, args, aux = mx.model.load_checkpoint(mx_model2_file, 0)\nmodel2 = sym.bind(ctx=mx.neuron(2), args=args, aux_states=aux, grad_req='null')\n# loaded into the second group of NC2-NC5\nsym, args, aux = mx.model.load_checkpoint(mx_model3_file, 0)\nmodel3 = sym.bind(ctx=mx.neuron(2), args=args, aux_states=aux, grad_req='null')\n\n# run inference by simply calling the loaded model\nresults0 = model0.forward(data=inputs0)\nresults1 = model1.forward(data=inputs1)\nresults2 = model2.forward(data=inputs2)\nresults3 = model3.forward(data=inputs3)\n\n```\n\nLoading multiple models in one NCG and single model in another NCG is currently not supported in TensorFlow and PyTorch.\n\n_This document is relevant for_: `Inf1`"},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Parallel Execution using NEURON_RT_NUM_CORES — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../../../../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link href=\"../../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n\n \n <link rel=\"stylesheet\" href=\"../../../../_static/vendor/fontawesome/5.13.0/css/all.min.css\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" 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class=\"reference internal\" href=\"../../../../frameworks/torch/inference-torch-neuronx.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-2\" name=\"toctree-checkbox-2\" type=\"checkbox\">\n <label for=\"toctree-checkbox-2\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/inference/tutorials-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-3\" name=\"toctree-checkbox-3\" type=\"checkbox\">\n <label for=\"toctree-checkbox-3\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../src/examples/pytorch/torch-neuronx/bert-base-cased-finetuned-mrpc-inference-on-trn1-tutorial.html\">\n Compiling and Deploying HuggingFace Pretrained BERT on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/inference/tutorial-torchserve-neuronx.html\">\n BERT TorchServe Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/tutorials/tutorial-libtorch.html\">\n LibTorch C++ Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-4\" name=\"toctree-checkbox-4\" type=\"checkbox\">\n <label for=\"toctree-checkbox-4\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx\">\n Transformers Neuron GitHub samples\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/inference-api-guide-torch-neuronx.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-5\" name=\"toctree-checkbox-5\" type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-26\" name=\"toctree-checkbox-26\" type=\"checkbox\">\n <label for=\"toctree-checkbox-26\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-28\" name=\"toctree-checkbox-28\" type=\"checkbox\">\n <label for=\"toctree-checkbox-28\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/api-tracing-python-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label for=\"toctree-checkbox-31\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-32\" name=\"toctree-checkbox-32\" type=\"checkbox\">\n <label for=\"toctree-checkbox-32\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-33\" name=\"toctree-checkbox-33\" type=\"checkbox\">\n <label for=\"toctree-checkbox-33\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/api-compilation-python-api.html\">\n Neuron Apache MXNet (Incubating) Compilation Python API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-34\" name=\"toctree-checkbox-34\" type=\"checkbox\">\n <label for=\"toctree-checkbox-34\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../mxnet-neuron/flex-eg.html\">\n Flexible Execution Group (FlexEG) in Neuron-MXNet\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/misc-mxnet-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-35\" name=\"toctree-checkbox-35\" type=\"checkbox\">\n <label for=\"toctree-checkbox-35\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../frameworks/mxnet-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for Neuron Apache MXNet (Incubating)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/mxnet-neuron/mxnet-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-mxnet.html\">\n Neuron Apache MXNet (Incubating) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Libraries\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../libraries/transformers-neuronx/index.html\">\n Transformers Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-36\" name=\"toctree-checkbox-36\" type=\"checkbox\">\n <label for=\"toctree-checkbox-36\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../libraries/transformers-neuronx/setup/index.html\">\n Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../libraries/transformers-neuronx/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-37\" name=\"toctree-checkbox-37\" type=\"checkbox\">\n <label for=\"toctree-checkbox-37\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../libraries/transformers-neuronx/transformers-neuronx-developer-guide.html\">\n Transformers Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n transformers-neuronx\n </span>\n </code>\n ) Developer Guide\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../libraries/transformers-neuronx/transformers-neuronx-tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-38\" name=\"toctree-checkbox-38\" type=\"checkbox\">\n <label for=\"toctree-checkbox-38\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/meta-llama-2-13b-sampling.ipynb\">\n Hugging Face meta-llama/Llama-2-13b autoregressive sampling on Inf2 & Trn1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-13b-sampling.ipynb\">\n Hugging Face facebook/opt-13b autoregressive sampling on Inf2 & Trn1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-30b-sampling.ipynb\">\n Hugging Face facebook/opt-30b autoregressive sampling on Inf2 & Trn1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-66b-sampling.ipynb\">\n Hugging Face facebook/opt-66b autoregressive sampling on Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../libraries/transformers-neuronx/transformers-neuronx-misc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-39\" name=\"toctree-checkbox-39\" type=\"checkbox\">\n <label for=\"toctree-checkbox-39\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../release-notes/torch/transformers-neuronx/index.html\">\n Transformers Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n transformers-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/index.html\">\n Neuron Distributed\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-40\" name=\"toctree-checkbox-40\" type=\"checkbox\">\n <label for=\"toctree-checkbox-40\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/setup/index.html\">\n Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/app_notes.html\">\n App Notes\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-41\" name=\"toctree-checkbox-41\" type=\"checkbox\">\n <label for=\"toctree-checkbox-41\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/tensor_parallelism_overview.html\">\n Tensor Parallelism Overview\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-42\" name=\"toctree-checkbox-42\" type=\"checkbox\">\n <label for=\"toctree-checkbox-42\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/api_guide.html\">\n API Reference Guide (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-43\" name=\"toctree-checkbox-43\" type=\"checkbox\">\n <label for=\"toctree-checkbox-43\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/tp_developer_guide.html\">\n Developer guide for Tensor Parallelism (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/tutorials/index.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-44\" name=\"toctree-checkbox-44\" type=\"checkbox\">\n <label for=\"toctree-checkbox-44\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/tutorials/training.html\">\n Training using Tensor Parallelism\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/tutorials/training-gpt-neox.html\">\n Training GPT-NeoX 6.9B using TP and ZeRO-1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/tutorials/training-gpt-neox-20b.html\">\n Training GPT-NeoX 20B using TP and ZeRO-1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../src/examples/pytorch/neuronx_distributed/t5-inference/t5-inference-tutorial.html\">\n T5 inference with Tensor Parallelism\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/tutorials/inference.html\">\n Inference using Tensor Parallelism\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../libraries/neuronx-distributed/neuronx-distributed-misc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-45\" name=\"toctree-checkbox-45\" type=\"checkbox\">\n <label for=\"toctree-checkbox-45\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../release-notes/neuronx-distributed/neuronx-distributed.html\">\n Neuron Distributed Release Notes (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../../../libraries/nemo-megatron/index.html\">\n AWS Neuron Reference for NeMo Megatron\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n User Guide\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../neuron-runtime/index.html\">\n Neuron Runtime\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-46\" name=\"toctree-checkbox-46\" type=\"checkbox\">\n <label for=\"toctree-checkbox-46\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../neuron-runtime/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" 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internal\" href=\"../../../../release-notes/runtime/aws-neuronx-collectives/index.html\">\n Neuron Collectives Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../compiler/index.html\">\n Neuron Compiler\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-50\" name=\"toctree-checkbox-50\" type=\"checkbox\">\n <label for=\"toctree-checkbox-50\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../compiler/neuronx-cc.html\">\n Neuron Compiler for Trn1 & Inf2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-51\" name=\"toctree-checkbox-51\" type=\"checkbox\">\n <label for=\"toctree-checkbox-51\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" 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fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../compiler/neuron-cc/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/compiler/neuron-cc/neuron-cc.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html\">\n Neuron Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../neuron-customops/index.html\">\n Neuron C++ Custom Operators\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-59\" name=\"toctree-checkbox-59\" type=\"checkbox\">\n <label for=\"toctree-checkbox-59\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a 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Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../neuron-customops/misc-customops.html\">\n Misc (Neuron Custom C++ Operators)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-63\" name=\"toctree-checkbox-63\" type=\"checkbox\">\n <label for=\"toctree-checkbox-63\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../release-notes/customcxxps/gpsimd-tools.html\">\n Neuron Custom C++ Tools Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../release-notes/customcxxps/gpsimd-customop-lib.html\">\n Neuron Custom C++ Library Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../tools/index.html\">\n Neuron Tools\n </a>\n <input 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href=\"../../../../tools/neuron-sys-tools/neuron-ls.html\">\n Neuron-LS User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuron-sys-tools/neuron-profile-user-guide.html\">\n Neuron Profile User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuron-sys-tools/neuron-sysfs-user-guide.html\">\n Neuron-Sysfs User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuron-sys-tools/nccom-test.html\">\n NCCOM-TEST User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" 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class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_model_index_guide.html\">\n Model Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/neuronperf_troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../tools/neuronperf/rn.html\">\n What’s New\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-69\" name=\"toctree-checkbox-69\" type=\"checkbox\">\n <label for=\"toctree-checkbox-69\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/tools/neuronperf.html\">\n NeuronPerf 1.x Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../../calculator/neuron-calculator.html\">\n Neuron Calculator\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../setup/index.html\">\n Setup Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-70\" name=\"toctree-checkbox-70\" type=\"checkbox\">\n <label for=\"toctree-checkbox-70\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" name=\"toctree-checkbox-71\" type=\"checkbox\">\n <label for=\"toctree-checkbox-71\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-72\" name=\"toctree-checkbox-72\" type=\"checkbox\">\n <label for=\"toctree-checkbox-72\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-73\" name=\"toctree-checkbox-73\" type=\"checkbox\">\n <label for=\"toctree-checkbox-73\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/inference/tutorial-infer.html\">\n Run inference in pytorch neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/inference/k8s_rn50_demo.html\">\n Deploy a TensorFlow Resnet50 model as a Kubernetes service\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label for=\"toctree-checkbox-74\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/training/tutorial-training.html\">\n Run training in Pytorch Neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/training/k8s_mlp_train_demo.html\">\n Deploy a simple mlp training script as a Kubernetes job\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-75\" name=\"toctree-checkbox-75\" type=\"checkbox\">\n <label for=\"toctree-checkbox-75\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-79\" name=\"toctree-checkbox-79\" type=\"checkbox\">\n <label for=\"toctree-checkbox-79\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/tutorials/training/index.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-80\" name=\"toctree-checkbox-80\" type=\"checkbox\">\n <label for=\"toctree-checkbox-80\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/ec2-flows.html\">\n AWS EC2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-82\" name=\"toctree-checkbox-82\" type=\"checkbox\">\n <label for=\"toctree-checkbox-82\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/ec2-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-83\" name=\"toctree-checkbox-83\" type=\"checkbox\">\n <label for=\"toctree-checkbox-83\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/ec2-then-ec2-devflow.html\">\n Compile with Framework API and Deploy on EC2 Inf1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/ec2-then-ec2-devflow-inf2.html\">\n Compile with Framework API and Deploy on EC2 Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/training/ec2-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-84\" name=\"toctree-checkbox-84\" type=\"checkbox\">\n <label for=\"toctree-checkbox-84\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/training/ec2/ec2-training.html\">\n Train your model on EC2\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/eks-flows.html\">\n Amazon EKS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-85\" name=\"toctree-checkbox-85\" type=\"checkbox\">\n <label for=\"toctree-checkbox-85\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/eks-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-86\" name=\"toctree-checkbox-86\" type=\"checkbox\">\n <label for=\"toctree-checkbox-86\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../devflows/training/eks-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/ecs-flows.html\">\n AWS ECS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-87\" name=\"toctree-checkbox-87\" type=\"checkbox\">\n <label for=\"toctree-checkbox-87\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/ecs-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-88\" name=\"toctree-checkbox-88\" type=\"checkbox\">\n <label for=\"toctree-checkbox-88\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../devflows/training/ecs-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/sagemaker-flows.html\">\n Sagemaker\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-89\" name=\"toctree-checkbox-89\" type=\"checkbox\">\n <label for=\"toctree-checkbox-89\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/sagemaker-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-90\" name=\"toctree-checkbox-90\" type=\"checkbox\">\n <label for=\"toctree-checkbox-90\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/byoc-hosting-devflow-inf2.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf2 or trn1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/byoc-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/neo-then-hosting-devflow.html\">\n Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/training/sagemaker-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-91\" name=\"toctree-checkbox-91\" type=\"checkbox\">\n <label for=\"toctree-checkbox-91\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/training/sm-devflow/sm-training-devflow.html\">\n Train your model on SageMaker\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sagemaker-samples\">\n AWS Neuron Sagemaker Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/parallelcluster-flows.html\">\n Parallel Cluster\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-92\" name=\"toctree-checkbox-92\" type=\"checkbox\">\n <label for=\"toctree-checkbox-92\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/parallelcluster-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/training/parallelcluster-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-93\" name=\"toctree-checkbox-93\" type=\"checkbox\">\n <label for=\"toctree-checkbox-93\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../devflows/training/parallelcluster/parallelcluster-training.html\">\n Train your model on ParallelCluster\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../devflows/aws-batch-flows.html\">\n AWS Batch Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-94\" name=\"toctree-checkbox-94\" type=\"checkbox\">\n <label for=\"toctree-checkbox-94\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../devflows/inference/aws-batch-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../devflows/training/aws-batch-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Learning Neuron\n </span>\n</p>\n<ul class=\"current nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../arch/index.html\">\n Architecture\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-95\" name=\"toctree-checkbox-95\" type=\"checkbox\">\n <label for=\"toctree-checkbox-95\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../arch/neuron-hardware/inf1-arch.html\">\n AWS Inf1 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../arch/neuron-hardware/trn1-arch.html\">\n AWS Trn1/Trn1n Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../arch/neuron-hardware/inf2-arch.html\">\n AWS Inf2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../arch/neuron-hardware/inferentia.html\">\n Inferentia Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../arch/neuron-hardware/inferentia2.html\">\n Inferentia2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../arch/neuron-hardware/trainium.html\">\n Trainium Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../arch/neuron-hardware/neuroncores-arch.html\">\n AWS NeuronCore Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../arch/model-architecture-fit.html\">\n Neuron Model Architecture Fit Guidelines\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../arch/glossary.html\">\n Neuron Glossary\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../arch/neuron-features/index.html\">\n Features\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-96\" name=\"toctree-checkbox-96\" type=\"checkbox\">\n 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href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.19.1/general/appnotes/perf/neuron-cc/parallel-ncgs.html\">v1.19.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.19.0/general/appnotes/perf/neuron-cc/parallel-ncgs.html\">v1.19.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.18.0/general/appnotes/perf/neuron-cc/parallel-ncgs.html\">v1.18.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.17.2/general/appnotes/perf/neuron-cc/parallel-ncgs.html\">v1.17.2</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.17.1/general/appnotes/perf/neuron-cc/parallel-ncgs.html\">v1.17.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.17.0/general/appnotes/perf/neuron-cc/parallel-ncgs.html\">v1.17.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.3/general/appnotes/perf/neuron-cc/parallel-ncgs.html\">v1.16.3</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.2/general/appnotes/perf/neuron-cc/parallel-ncgs.html\">v1.16.2</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.1/general/appnotes/perf/neuron-cc/parallel-ncgs.html\">v1.16.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.0/general/appnotes/perf/neuron-cc/parallel-ncgs.html\">v1.16.0</a>\n </dd>\n \n </dl>\n \n \n\n \n \n <dl>\n <dt>Downloads</dt>\n \n <dd><a href=\"//awsdocs-neuron.readthedocs-hosted.com/_/downloads/en/v2.14.1/pdf/\">PDF</a></dd>\n \n </dl>\n \n \n\n \n\n\n\n \n\n \n <dl>\n <dt>On GitHub</dt>\n <dd>\n <a href=\"https://github.com/aws/aws-neuron-sdk/blob/v2.14.1//general/appnotes/perf/neuron-cc/parallel-ncgs.rst\">View</a>\n </dd>\n \n </dl>\n \n \n\n \n\n <hr>\n\n \n<div>\n \n 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noprint\">\n <div class=\"tocsection onthispage pt-5 pb-3\">\n <i class=\"fas fa-list\"></i> Contents\n </div>\n <nav id=\"bd-toc-nav\" aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#introduction\">\n Introduction\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#data-parallel-execution\">\n Data Parallel Execution\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#running-multiple-models-using-single-process\">\n Running multiple models using single process\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#running-multiple-models-using-multiple-processes\">\n Running multiple models using multiple processes\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#running-multiple-models-on-the-same-neuroncore-group\">\n Running multiple models on the same NeuronCore group\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#auto-model-replication-in-tensorflow-neuron-tensorflow-neuron-experimental\">\n Auto Model Replication in TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) (Experimental)\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#auto-model-replication-being-deprecated\">\n Auto Model Replication (Being Deprecated)\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#faq\">\n FAQ\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#can-i-mix-data-parallel-and-neuroncore-pipeline\">\n Can I mix data parallel and NeuronCore Pipeline?\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#can-i-have-a-mix-of-multiple-models-in-one-neuroncore-group-and-single-model-in-another-one-neuroncore-group\">\n Can I have a mix of multiple models in one Neuroncore group and single model in another one Neuroncore group?\n </a>\n </li>\n </ul>\n </li>\n</ul>\n\n </nav>\n</div>\n </div>\n <div class=\"article row\">\n <div class=\"col pl-md-3 pl-lg-5 content-container\">\n <!-- Table of contents that is only displayed when printing the page -->\n <div id=\"jb-print-docs-body\" class=\"onlyprint\">\n <h1>Parallel Execution using NEURON_RT_NUM_CORES</h1>\n <!-- Table of contents -->\n <div id=\"print-main-content\">\n <div id=\"jb-print-toc\">\n \n <div>\n <h2> Contents </h2>\n </div>\n <nav aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#introduction\">\n Introduction\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#data-parallel-execution\">\n Data Parallel Execution\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#running-multiple-models-using-single-process\">\n Running multiple models using single process\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#running-multiple-models-using-multiple-processes\">\n Running multiple models using multiple processes\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#running-multiple-models-on-the-same-neuroncore-group\">\n Running multiple models on the same NeuronCore group\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#auto-model-replication-in-tensorflow-neuron-tensorflow-neuron-experimental\">\n Auto Model Replication in TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) (Experimental)\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#auto-model-replication-being-deprecated\">\n Auto Model Replication (Being Deprecated)\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#faq\">\n FAQ\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#can-i-mix-data-parallel-and-neuroncore-pipeline\">\n Can I mix data parallel and NeuronCore Pipeline?\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#can-i-have-a-mix-of-multiple-models-in-one-neuroncore-group-and-single-model-in-another-one-neuroncore-group\">\n Can I have a mix of multiple models in one Neuroncore group and single model in another one Neuroncore group?\n </a>\n </li>\n </ul>\n </li>\n</ul>\n\n </nav>\n </div>\n </div>\n </div>\n <main id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code></p>\n<div class=\"section\" id=\"parallel-execution-using-neuron-rt-num-cores\">\n<span id=\"parallel-exec-ncgs\"></span><h1>Parallel Execution using NEURON_RT_NUM_CORES<a class=\"headerlink\" href=\"#parallel-execution-using-neuron-rt-num-cores\" title=\"Permalink to this headline\">#</a></h1>\n<div class=\"admonition important\">\n<p class=\"admonition-title\">Important</p>\n<p><code class=\"docutils literal notranslate\"><span class=\"pre\">NEURONCORE_GROUP_SIZES</span></code> will no longer be supported starting Neuron 1.19.0 release if your application is using <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURONCORE_GROUP_SIZES</span></code> please\nsee <a class=\"reference internal\" href=\"../../neuron1x/introducing-libnrt.html#neuron-migrating-apps-neuron-to-libnrt\"><span class=\"std std-ref\">Migrate your application to Neuron Runtime 2.x (libnrt.so)</span></a> and <a class=\"reference internal\" href=\"../../../announcements/neuron1.x/eol-ncgs-env_2.html#eol-ncgs-env_2\"><span class=\"std std-ref\">Announcing end of support for NEURONCORE_GROUP_SIZES starting with Neuron 1.20.0 release</span></a> for more details.</p>\n</div>\n<div class=\"section\" id=\"introduction\">\n<h2>Introduction<a class=\"headerlink\" href=\"#introduction\" title=\"Permalink to this headline\">#</a></h2>\n<p>Inf1 instances are available with a different number of Inferentia\nchips, each Inferentia chip is combined of 4 NeuronCores and an Inf1\ninstance includes 4 to 64 NeuronCores depending on the instance size.\nThis guide will show you how to load one or more compiled models into\ndifferent consecutive groups of NeuronCores using your framework of choice.</p>\n</div>\n<div class=\"section\" id=\"data-parallel-execution\">\n<h2>Data Parallel Execution<a class=\"headerlink\" href=\"#data-parallel-execution\" title=\"Permalink to this headline\">#</a></h2>\n<p>In PyTorch and TensorFlow, the same compiled model can run in parallel on an Inf1 instance by loading it multiple times, up to the total number of NeuronCores specified in NEURON_RT_NUM_CORES or NEURON_RT_VISIBLE_CORES. For more information about NEURON_RT_NUM_CORES and NEURON_RT_VISIBLE_CORES, please refer to <a class=\"reference internal\" href=\"../../../../neuron-runtime/nrt-configurable-parameters.html#nrt-configuration\"><span class=\"std std-ref\">Neuron Runtime Configuration</span></a>.</p>\n<div class=\"section\" id=\"running-multiple-models-using-single-process\">\n<h3>Running multiple models using single process<a class=\"headerlink\" href=\"#running-multiple-models-using-single-process\" title=\"Permalink to this headline\">#</a></h3>\n<p>To run multiple models using single process, you set the environment\nvariable <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code> with a comma separated list of\nnumber of cores in each group.</p>\n<p>You can set <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code> environment variable at runtime:</p>\n<div class=\"highlight-bash notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"ch\">#!/bin/bash</span>\n<span class=\"nv\">NEURON_RT_NUM_CORES</span><span class=\"o\">=</span><span class=\"m\">13</span><span class=\"w\"> </span>python<span class=\"w\"> </span>your_neuron_application.py\n</pre></div>\n</div>\n<p>Or from within your python process running your models (NOTE: you can\nonly set it once in the same process at the beginning of the script):</p>\n<div class=\"highlight-bash notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"ch\">#!/usr/bin/env python</span>\nimport<span class=\"w\"> </span>os\n\n<span class=\"c1\"># Set Environment</span>\nos.environ<span class=\"o\">[</span><span class=\"s1\">'NEURON_RT_NUM_CORES'</span><span class=\"o\">]=</span><span class=\"s1\">'13'</span>\n\n<span class=\"c1\"># Load models and run inferences ...</span>\n</pre></div>\n</div>\n<p>The below examples allow you to load 4 models into 4 groups of NeuronCores\nwithin one process. For example, if there are 4 models A, B, C, D\ncompiled to 2, 4, 3, and 4 NeuronCores respectively, you directly load\nthe models A, B, C, D in sequence within your TensorFlow or PyTorch\nNeuron process. This example requires an inf1.6xlarge instance with 16\nNeuronCores, as the total number of NeuronCores within the NeuronCore\nGroups is 13.</p>\n<p>In MXNet, the mapping from models to NeuronCores is controlled by\ncontext <code class=\"docutils literal notranslate\"><span class=\"pre\">mx.neuron(neuron_core_index)</span></code> where <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron_core_index</span></code> is the NeuronCore\nindex at the start of the group. In the example above, you map model A to <code class=\"docutils literal notranslate\"><span class=\"pre\">mx.neuron(0)</span></code>\ncontext, model B to <code class=\"docutils literal notranslate\"><span class=\"pre\">mx.neuron(2)</span></code> context, model C to\n<code class=\"docutils literal notranslate\"><span class=\"pre\">mx.neuron(6)</span></code> context and model D to <code class=\"docutils literal notranslate\"><span class=\"pre\">mx.neuron(9)</span></code> context. For\nfurther details, please refer to <a class=\"reference internal\" href=\"../../mxnet-neuron/flex-eg.html#flexeg\"><span class=\"std std-ref\">Flexible Execution Group (FlexEG) in Neuron-MXNet</span></a>.</p>\n<p>For PyTorch</p>\n<p>For an automated data parallel solution in PyTorch, please see <a class=\"reference internal\" href=\"../../torch-neuron/torch-neuron-dataparallel-app-note.html#torch-neuron-dataparallel-app-note\"><span class=\"std std-ref\">Data Parallel Inference on Torch Neuron</span></a> for more details.</p>\n<p>For Tensorflow</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Set Environment</span>\n<span class=\"n\">os</span><span class=\"o\">.</span><span class=\"n\">environ</span><span class=\"p\">[</span><span class=\"s1\">'NEURON_RT_NUM_CORES'</span><span class=\"p\">]</span><span class=\"o\">=</span><span class=\"s1\">'13'</span>\n\n<span class=\"c1\"># Load models (TF2)</span>\n<span class=\"n\">model0</span> <span class=\"o\">=</span> <span class=\"n\">tf</span><span class=\"o\">.</span><span class=\"n\">keras</span><span class=\"o\">.</span><span class=\"n\">models</span><span class=\"o\">.</span><span class=\"n\">load_model</span><span class=\"p\">(</span><span class=\"n\">model0_file</span><span class=\"p\">)</span> <span class=\"c1\"># loaded into the first group of NC0-NC1</span>\n<span class=\"n\">model1</span> <span class=\"o\">=</span> <span class=\"n\">tf</span><span class=\"o\">.</span><span class=\"n\">keras</span><span class=\"o\">.</span><span class=\"n\">models</span><span class=\"o\">.</span><span class=\"n\">load_model</span><span class=\"p\">(</span><span class=\"n\">model1_file</span><span class=\"p\">)</span> <span class=\"c1\"># loaded into the second group of NC2-NC5</span>\n<span class=\"n\">model2</span> <span class=\"o\">=</span> <span class=\"n\">tf</span><span class=\"o\">.</span><span class=\"n\">keras</span><span class=\"o\">.</span><span class=\"n\">models</span><span class=\"o\">.</span><span class=\"n\">load_model</span><span class=\"p\">(</span><span class=\"n\">model1_file</span><span class=\"p\">)</span> <span class=\"c1\"># loaded into the third group of NC6-NC8</span>\n<span class=\"n\">model3</span> <span class=\"o\">=</span> <span class=\"n\">tf</span><span class=\"o\">.</span><span class=\"n\">keras</span><span class=\"o\">.</span><span class=\"n\">models</span><span class=\"o\">.</span><span class=\"n\">load_model</span><span class=\"p\">(</span><span class=\"n\">model1_file</span><span class=\"p\">)</span> <span class=\"c1\"># loaded into the fourth group of NC9-NC12</span>\n\n<span class=\"c1\"># run inference by simply calling the loaded model</span>\n<span class=\"n\">results0</span> <span class=\"o\">=</span> <span class=\"n\">model0</span><span class=\"p\">(</span><span class=\"n\">inputs0</span><span class=\"p\">)</span>\n<span class=\"n\">results1</span> <span class=\"o\">=</span> <span class=\"n\">model1</span><span class=\"p\">(</span><span class=\"n\">inputs1</span><span class=\"p\">)</span>\n<span class=\"n\">results2</span> <span class=\"o\">=</span> <span class=\"n\">model2</span><span class=\"p\">(</span><span class=\"n\">inputs2</span><span class=\"p\">)</span>\n<span class=\"n\">results3</span> <span class=\"o\">=</span> <span class=\"n\">model3</span><span class=\"p\">(</span><span class=\"n\">inputs3</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<p>For MXNet 2.x:</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Set Environment</span>\n<span class=\"n\">os</span><span class=\"o\">.</span><span class=\"n\">environ</span><span class=\"p\">[</span><span class=\"s1\">'NEURON_RT_NUM_CORES'</span><span class=\"p\">]</span><span class=\"o\">=</span><span class=\"s1\">'13'</span>\n\n<span class=\"c1\"># Load models (MXNet)</span>\n<span class=\"c1\"># loaded into the first group of NC0-NC1</span>\n<span class=\"n\">sym</span><span class=\"p\">,</span> <span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux</span> <span class=\"o\">=</span> <span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">load_checkpoint</span><span class=\"p\">(</span><span class=\"n\">mx_model0_file</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">)</span>\n<span class=\"n\">model0</span> <span class=\"o\">=</span> <span class=\"n\">sym</span><span class=\"o\">.</span><span class=\"n\">bind</span><span class=\"p\">(</span><span class=\"n\">ctx</span><span class=\"o\">=</span><span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">neuron</span><span class=\"p\">(</span><span class=\"mi\">0</span><span class=\"p\">),</span> <span class=\"n\">args</span><span class=\"o\">=</span><span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux_states</span><span class=\"o\">=</span><span class=\"n\">aux</span><span class=\"p\">,</span> <span class=\"n\">grad_req</span><span class=\"o\">=</span><span class=\"s1\">'null'</span><span class=\"p\">)</span>\n<span class=\"c1\"># loaded into the second group of NC2-NC5</span>\n<span class=\"n\">sym</span><span class=\"p\">,</span> <span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux</span> <span class=\"o\">=</span> <span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">load_checkpoint</span><span class=\"p\">(</span><span class=\"n\">mx_model1_file</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">)</span>\n<span class=\"n\">model1</span> <span class=\"o\">=</span> <span class=\"n\">sym</span><span class=\"o\">.</span><span class=\"n\">bind</span><span class=\"p\">(</span><span class=\"n\">ctx</span><span class=\"o\">=</span><span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">neuron</span><span class=\"p\">(</span><span class=\"mi\">2</span><span class=\"p\">),</span> <span class=\"n\">args</span><span class=\"o\">=</span><span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux_states</span><span class=\"o\">=</span><span class=\"n\">aux</span><span class=\"p\">,</span> <span class=\"n\">grad_req</span><span class=\"o\">=</span><span class=\"s1\">'null'</span><span class=\"p\">)</span>\n<span class=\"c1\"># loaded into the third group of NC6-NC8</span>\n<span class=\"n\">sym</span><span class=\"p\">,</span> <span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux</span> <span class=\"o\">=</span> <span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">load_checkpoint</span><span class=\"p\">(</span><span class=\"n\">mx_model2_file</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">)</span>\n<span class=\"n\">model2</span> <span class=\"o\">=</span> <span class=\"n\">sym</span><span class=\"o\">.</span><span class=\"n\">bind</span><span class=\"p\">(</span><span class=\"n\">ctx</span><span class=\"o\">=</span><span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">neuron</span><span class=\"p\">(</span><span class=\"mi\">6</span><span class=\"p\">),</span> <span class=\"n\">args</span><span class=\"o\">=</span><span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux_states</span><span class=\"o\">=</span><span class=\"n\">aux</span><span class=\"p\">,</span> <span class=\"n\">grad_req</span><span class=\"o\">=</span><span class=\"s1\">'null'</span><span class=\"p\">)</span>\n<span class=\"c1\"># loaded into the fourth group of NC9-NC12</span>\n<span class=\"n\">sym</span><span class=\"p\">,</span> <span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux</span> <span class=\"o\">=</span> <span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">load_checkpoint</span><span class=\"p\">(</span><span class=\"n\">mx_model3_file</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">)</span>\n<span class=\"n\">model3</span> <span class=\"o\">=</span> <span class=\"n\">sym</span><span class=\"o\">.</span><span class=\"n\">bind</span><span class=\"p\">(</span><span class=\"n\">ctx</span><span class=\"o\">=</span><span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">neuron</span><span class=\"p\">(</span><span class=\"mi\">9</span><span class=\"p\">),</span> <span class=\"n\">args</span><span class=\"o\">=</span><span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux_states</span><span class=\"o\">=</span><span class=\"n\">aux</span><span class=\"p\">,</span> <span class=\"n\">grad_req</span><span class=\"o\">=</span><span class=\"s1\">'null'</span><span class=\"p\">)</span>\n\n<span class=\"c1\"># run inference by simply calling the loaded model</span>\n<span class=\"n\">results0</span> <span class=\"o\">=</span> <span class=\"n\">model0</span><span class=\"o\">.</span><span class=\"n\">forward</span><span class=\"p\">(</span><span class=\"n\">data</span><span class=\"o\">=</span><span class=\"n\">inputs0</span><span class=\"p\">)</span>\n<span class=\"n\">results1</span> <span class=\"o\">=</span> <span class=\"n\">model1</span><span class=\"o\">.</span><span class=\"n\">forward</span><span class=\"p\">(</span><span class=\"n\">data</span><span class=\"o\">=</span><span class=\"n\">inputs1</span><span class=\"p\">)</span>\n<span class=\"n\">results2</span> <span class=\"o\">=</span> <span class=\"n\">model2</span><span class=\"o\">.</span><span class=\"n\">forward</span><span class=\"p\">(</span><span class=\"n\">data</span><span class=\"o\">=</span><span class=\"n\">inputs2</span><span class=\"p\">)</span>\n<span class=\"n\">results3</span> <span class=\"o\">=</span> <span class=\"n\">model3</span><span class=\"o\">.</span><span class=\"n\">forward</span><span class=\"p\">(</span><span class=\"n\">data</span><span class=\"o\">=</span><span class=\"n\">inputs3</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<p>You can identify the NeuronCores used by each application using the <code class=\"docutils literal notranslate\"><span class=\"pre\">neuron-top</span></code> command\nline tool. For more information about the neuron-top user interface, please see <a class=\"reference internal\" href=\"../../../../tools/neuron-sys-tools/neuron-top-user-guide.html#neuron-top-ug\"><span class=\"std std-ref\">Neuron Top User Guide</span></a>.</p>\n<div class=\"highlight-bash notranslate\"><div class=\"highlight\"><pre><span></span>$<span class=\"w\"> </span>neuron-top\n</pre></div>\n</div>\n<div class=\"figure align-default\">\n<a class=\"reference internal image-reference\" href=\"../../../../_images/multi_1core_models_multi_processes.png\"><img alt=\"../../../../_images/multi_1core_models_multi_processes.png\" src=\"../../../../_images/multi_1core_models_multi_processes.png\" style=\"width: 1076.0px; height: 373.6px;\"></a>\n</div>\n</div>\n<div class=\"section\" id=\"running-multiple-models-using-multiple-processes\">\n<h3>Running multiple models using multiple processes<a class=\"headerlink\" href=\"#running-multiple-models-using-multiple-processes\" title=\"Permalink to this headline\">#</a></h3>\n<p>You can also run multiple models in parallel processes, when you set\n<code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code> per process:</p>\n<div class=\"highlight-bash notranslate\"><div class=\"highlight\"><pre><span></span>$<span class=\"w\"> </span><span class=\"nv\">NEURON_RT_NUM_CORES</span><span class=\"o\">=</span><span class=\"m\">2</span><span class=\"w\"> </span>python<span class=\"w\"> </span>your_1st_neuron_application.py\n$<span class=\"w\"> </span><span class=\"nv\">NEURON_RT_NUM_CORES</span><span class=\"o\">=</span><span class=\"m\">2</span><span class=\"w\"> </span>python<span class=\"w\"> </span>your_2nd_neuron_application.py\n</pre></div>\n</div>\n<p>The first process automatically selects a first set of 2 unused\nNeuronCores for its new group. The second process automatically selects\na new set of 2 unused NeuronCores for its new group.</p>\n<div class=\"figure align-default\">\n<a class=\"reference internal image-reference\" href=\"../../../../_images/multi_2cores_models_multi_processes.png\"><img alt=\"../../../../_images/multi_2cores_models_multi_processes.png\" src=\"../../../../_images/multi_2cores_models_multi_processes.png\" style=\"width: 738.4000000000001px; height: 328.8px;\"></a>\n</div>\n</div>\n<div class=\"section\" id=\"running-multiple-models-on-the-same-neuroncore-group\">\n<h3>Running multiple models on the same NeuronCore group<a class=\"headerlink\" href=\"#running-multiple-models-on-the-same-neuroncore-group\" title=\"Permalink to this headline\">#</a></h3>\n<p>You can load more than one model in a NeuronCore group within one\nprocess. The Neuron runtime will handle switching from one model to the\nnext model within the NeuronCore group when the next model is run within\nthe application. In TensorFlow or PyTorch, simply load the additional\nmodels after the initial number of models have been loaded, to fill the\nNeuronCore groups associated with the process.</p>\n<p>For PyTorch:</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Set Environment</span>\n<span class=\"n\">os</span><span class=\"o\">.</span><span class=\"n\">environ</span><span class=\"p\">[</span><span class=\"s1\">'NEURON_RT_NUM_CORES'</span><span class=\"p\">]</span><span class=\"o\">=</span><span class=\"s1\">'2'</span>\n\n<span class=\"c1\"># Load models (PT)</span>\n<span class=\"n\">model0</span> <span class=\"o\">=</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">jit</span><span class=\"o\">.</span><span class=\"n\">load</span><span class=\"p\">(</span><span class=\"n\">model0_file</span><span class=\"p\">)</span> <span class=\"c1\"># loaded into the first group of NC0-NC1</span>\n<span class=\"n\">model1</span> <span class=\"o\">=</span> <span class=\"n\">torch</span><span class=\"o\">.</span><span class=\"n\">jit</span><span class=\"o\">.</span><span class=\"n\">load</span><span class=\"p\">(</span><span class=\"n\">model1_file</span><span class=\"p\">)</span> <span class=\"c1\"># loaded into the first group of NC0-NC1</span>\n\n<span class=\"c1\"># run inference by simply calling the loaded model</span>\n<span class=\"n\">results0</span> <span class=\"o\">=</span> <span class=\"n\">model0</span><span class=\"p\">(</span><span class=\"n\">inputs0</span><span class=\"p\">)</span>\n<span class=\"n\">results1</span> <span class=\"o\">=</span> <span class=\"n\">model1</span><span class=\"p\">(</span><span class=\"n\">inputs1</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<p>For TensorFlow 2.x:</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Set Environment</span>\n<span class=\"n\">os</span><span class=\"o\">.</span><span class=\"n\">environ</span><span class=\"p\">[</span><span class=\"s1\">'NEURON_RT_NUM_CORES'</span><span class=\"p\">]</span><span class=\"o\">=</span><span class=\"s1\">'2'</span>\n\n<span class=\"c1\"># Load models (TF2)</span>\n<span class=\"n\">model0</span> <span class=\"o\">=</span> <span class=\"n\">tf</span><span class=\"o\">.</span><span class=\"n\">keras</span><span class=\"o\">.</span><span class=\"n\">models</span><span class=\"o\">.</span><span class=\"n\">load_model</span><span class=\"p\">(</span><span class=\"n\">model0_file</span><span class=\"p\">)</span> <span class=\"c1\"># loaded into the first group of NC0-NC1</span>\n<span class=\"n\">model1</span> <span class=\"o\">=</span> <span class=\"n\">tf</span><span class=\"o\">.</span><span class=\"n\">keras</span><span class=\"o\">.</span><span class=\"n\">models</span><span class=\"o\">.</span><span class=\"n\">load_model</span><span class=\"p\">(</span><span class=\"n\">model1_file</span><span class=\"p\">)</span> <span class=\"c1\"># loaded into the first group of NC0-NC1</span>\n\n<span class=\"c1\"># run inference by simply calling the loaded model</span>\n<span class=\"n\">results0</span> <span class=\"o\">=</span> <span class=\"n\">model0</span><span class=\"p\">(</span><span class=\"n\">inputs0</span><span class=\"p\">)</span>\n<span class=\"n\">results1</span> <span class=\"o\">=</span> <span class=\"n\">model1</span><span class=\"p\">(</span><span class=\"n\">inputs1</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<p>In MXNet, use context <code class=\"docutils literal notranslate\"><span class=\"pre\">mx.neuron(neuron_core_index)</span></code> and use the\nsame NeuronCore start index for the additional models.</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Set Environment</span>\n<span class=\"n\">os</span><span class=\"o\">.</span><span class=\"n\">environ</span><span class=\"p\">[</span><span class=\"s1\">'NEURON_RT_NUM_CORES'</span><span class=\"p\">]</span><span class=\"o\">=</span><span class=\"s1\">'2'</span>\n\n<span class=\"c1\"># Load models (MXNet)</span>\n<span class=\"c1\"># loaded into the first group of NC0-NC1</span>\n<span class=\"n\">sym</span><span class=\"p\">,</span> <span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux</span> <span class=\"o\">=</span> <span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">load_checkpoint</span><span class=\"p\">(</span><span class=\"n\">mx_model0_file</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">)</span>\n<span class=\"n\">model0</span> <span class=\"o\">=</span> <span class=\"n\">sym</span><span class=\"o\">.</span><span class=\"n\">bind</span><span class=\"p\">(</span><span class=\"n\">ctx</span><span class=\"o\">=</span><span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">neuron</span><span class=\"p\">(</span><span class=\"mi\">0</span><span class=\"p\">),</span> <span class=\"n\">args</span><span class=\"o\">=</span><span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux_states</span><span class=\"o\">=</span><span class=\"n\">aux</span><span class=\"p\">,</span> <span class=\"n\">grad_req</span><span class=\"o\">=</span><span class=\"s1\">'null'</span><span class=\"p\">)</span>\n<span class=\"c1\"># loaded into the first group of NC0-NC1</span>\n<span class=\"n\">sym</span><span class=\"p\">,</span> <span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux</span> <span class=\"o\">=</span> <span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">load_checkpoint</span><span class=\"p\">(</span><span class=\"n\">mx_model1_file</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">)</span>\n<span class=\"n\">model1</span> <span class=\"o\">=</span> <span class=\"n\">sym</span><span class=\"o\">.</span><span class=\"n\">bind</span><span class=\"p\">(</span><span class=\"n\">ctx</span><span class=\"o\">=</span><span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">neuron</span><span class=\"p\">(</span><span class=\"mi\">0</span><span class=\"p\">),</span> <span class=\"n\">args</span><span class=\"o\">=</span><span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux_states</span><span class=\"o\">=</span><span class=\"n\">aux</span><span class=\"p\">,</span> <span class=\"n\">grad_req</span><span class=\"o\">=</span><span class=\"s1\">'null'</span><span class=\"p\">)</span>\n\n<span class=\"c1\"># run inference by simply calling the loaded model</span>\n<span class=\"n\">results0</span> <span class=\"o\">=</span> <span class=\"n\">model0</span><span class=\"o\">.</span><span class=\"n\">forward</span><span class=\"p\">(</span><span class=\"n\">data</span><span class=\"o\">=</span><span class=\"n\">inputs0</span><span class=\"p\">)</span>\n<span class=\"n\">results1</span> <span class=\"o\">=</span> <span class=\"n\">model1</span><span class=\"o\">.</span><span class=\"n\">forward</span><span class=\"p\">(</span><span class=\"n\">data</span><span class=\"o\">=</span><span class=\"n\">inputs1</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<p>The total <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code> across all processes cannot exceed\nthe number of NeuronCores available on the instance. For example,\non an inf1.xlarge with default configurations where the total number of\nNeuronCores visible to TensorFlow-Neuron is 4, you can launch one\nprocess with <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES=2</span></code> (pipelined) and another\nprocess with <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES=2</span></code> (data-parallel).</p>\n<p>Examples using <code class=\"docutils literal notranslate\"><span class=\"pre\">NEURON_RT_NUM_CORES</span></code> include:</p>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"../../../../src/examples/pytorch/resnet50.html\"><span class=\"std std-ref\">PyTorch example</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"../../../../src/examples/mxnet/resnet50_neuroncore_groups.html\"><span class=\"std std-ref\">MXNet example</span></a></p></li>\n</ul>\n</div>\n</div>\n<div class=\"section\" id=\"auto-model-replication-in-tensorflow-neuron-tensorflow-neuron-experimental\">\n<h2>Auto Model Replication in TensorFlow Neuron (<code class=\"docutils literal notranslate\"><span class=\"pre\">tensorflow-neuron</span></code>) (Experimental)<a class=\"headerlink\" href=\"#auto-model-replication-in-tensorflow-neuron-tensorflow-neuron-experimental\" title=\"Permalink to this headline\">#</a></h2>\n<p>Please see the below API documentation to see how to perform automatic replication on\nmultiple cores. Note that the automatic replication will only work on models compiled with pipeline size 1:\nvia <code class=\"docutils literal notranslate\"><span class=\"pre\">--neuroncore-pipeline-cores=1</span></code>. If auto replication is not enabled, the model will default to\nreplicate on up to 4 cores.</p>\n<p>Python API (TF 2.x only):</p>\n<p><a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html#tensorflow-ref-auto-replication-python-api\"><span class=\"std std-ref\">TensorFlow Neuron (tensorflow-neuron) Auto Multicore Replication (Experimental)</span></a></p>\n<p>CLI API (TF 1.x and TF 2.x):</p>\n<p><a class=\"reference internal\" href=\"../../../../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html#tensorflow-ref-auto-replication-cli-api\"><span class=\"std std-ref\">TensorFlow Neuron TF2.x (tensorflow-neuronx TF2.x) Auto Multicore Replication CLI (Experimental)</span></a></p>\n</div>\n<div class=\"section\" id=\"auto-model-replication-being-deprecated\">\n<h2>Auto Model Replication (Being Deprecated)<a class=\"headerlink\" href=\"#auto-model-replication-being-deprecated\" title=\"Permalink to this headline\">#</a></h2>\n<p>The Auto Model Replication feature in TensorFlow-Neuron enables you to\nload the model once and the data parallel replication would happen\nautomatically. This reduces framework memory usage as you are not\nloading the same model multiple times. This feature is experimental and\navailable in TensorFlow-Neuron only.</p>\n<p>To enable Auto Model Replication, set NEURONCORE_GROUP_SIZES to Nx1\nwhere N is the desired replication count (the number of NeuronCore\ngroups, each group has size 1). For example, NEURONCORE_GROUP_SIZES=8x1\nwould automatically replicate the single-NeuronCore model 8 times.</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"n\">os</span><span class=\"o\">.</span><span class=\"n\">environ</span><span class=\"p\">[</span><span class=\"s1\">'NEURONCORE_GROUP_SIZES'</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"s1\">'4x1'</span>\n</pre></div>\n</div>\n<p>or</p>\n<div class=\"highlight-bash notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"nv\">NEURONCORE_GROUP_SIZES</span><span class=\"o\">=</span>4x1<span class=\"w\"> </span>python3<span class=\"w\"> </span>application.py\n</pre></div>\n</div>\n<p>When NEURONCORE_GROUP_SIZES is not set, the default is 4x1 where a\nsingle-NeuronCore model is replicated 4 times on any sized inf1 machine.</p>\n<p>This feature is only available for models compiled with\nneuroncore-pipeline-cores set to 1 (default).</p>\n<p>You will still need to use threads in the scaffolding code to feed the\nloaded replicated model instance in order to achieve high throughput.</p>\n<p>Example of auto model replication: <a class=\"reference internal\" href=\"../../../../src/examples/tensorflow/openpose_demo/openpose.html\"><span class=\"std std-ref\">Running OpenPose on Inferentia</span></a></p>\n</div>\n<div class=\"section\" id=\"faq\">\n<h2>FAQ<a class=\"headerlink\" href=\"#faq\" title=\"Permalink to this headline\">#</a></h2>\n<div class=\"section\" id=\"can-i-mix-data-parallel-and-neuroncore-pipeline\">\n<h3>Can I mix data parallel and NeuronCore Pipeline?<a class=\"headerlink\" href=\"#can-i-mix-data-parallel-and-neuroncore-pipeline\" title=\"Permalink to this headline\">#</a></h3>\n<p>Yes. You can compile the model using neuroncore-pipeline-cores option.\nThis tells the compiler to set compilation to the specified number of\ncores for <a class=\"reference internal\" href=\"../../../arch/neuron-features/neuroncore-pipeline.html#neuroncore-pipeline\"><span class=\"std std-ref\">NeuronCore Pipeline</span></a>.\nThe Neuron Compiler will return a NEFF which fits within this limit. See\nthe <a class=\"reference internal\" href=\"../../../../compiler/neuron-cc/command-line-reference.html#neuron-compiler-cli-reference\"><span class=\"std std-ref\">Neuron compiler CLI Reference Guide (neuron-cc)</span></a>\non how to use this option.</p>\n<p>For example, on an inf1.2xlarge, you can load two model instances, each\ncompiled with neuroncore-pipeline-cores set to 2, so that they can run\nin parallel. The model instances can be loaded from different saved\nmodels or from the same saved model.</p>\n</div>\n<div class=\"section\" id=\"can-i-have-a-mix-of-multiple-models-in-one-neuroncore-group-and-single-model-in-another-one-neuroncore-group\">\n<h3>Can I have a mix of multiple models in one Neuroncore group and single model in another one Neuroncore group?<a class=\"headerlink\" href=\"#can-i-have-a-mix-of-multiple-models-in-one-neuroncore-group-and-single-model-in-another-one-neuroncore-group\" title=\"Permalink to this headline\">#</a></h3>\n<p>Currently, you can do this in MXNet by setting up two Neuroncore groups, then load\nfor example multiple models in one NCG using context mx.neuron(0), and\nload single model in the second NCG using context mx.neuron(2). You can\nalso load single model in the first NCG and multiple models in the\nsecond NCG. For example:</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Set Environment</span>\n<span class=\"n\">os</span><span class=\"o\">.</span><span class=\"n\">environ</span><span class=\"p\">[</span><span class=\"s1\">'NEURON_RT_NUM_CORES'</span><span class=\"p\">]</span><span class=\"o\">=</span><span class=\"s1\">'6'</span>\n\n<span class=\"c1\"># Load models (MXNet)</span>\n<span class=\"c1\"># loaded into the first group of NC0-NC1</span>\n<span class=\"n\">sym</span><span class=\"p\">,</span> <span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux</span> <span class=\"o\">=</span> <span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">load_checkpoint</span><span class=\"p\">(</span><span class=\"n\">mx_model0_file</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">)</span>\n<span class=\"n\">model0</span> <span class=\"o\">=</span> <span class=\"n\">sym</span><span class=\"o\">.</span><span class=\"n\">bind</span><span class=\"p\">(</span><span class=\"n\">ctx</span><span class=\"o\">=</span><span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">neuron</span><span class=\"p\">(</span><span class=\"mi\">0</span><span class=\"p\">),</span> <span class=\"n\">args</span><span class=\"o\">=</span><span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux_states</span><span class=\"o\">=</span><span class=\"n\">aux</span><span class=\"p\">,</span> <span class=\"n\">grad_req</span><span class=\"o\">=</span><span class=\"s1\">'null'</span><span class=\"p\">)</span>\n<span class=\"c1\"># loaded into the second group of NC2-NC5</span>\n<span class=\"n\">sym</span><span class=\"p\">,</span> <span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux</span> <span class=\"o\">=</span> <span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">load_checkpoint</span><span class=\"p\">(</span><span class=\"n\">mx_model1_file</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">)</span>\n<span class=\"n\">model1</span> <span class=\"o\">=</span> <span class=\"n\">sym</span><span class=\"o\">.</span><span class=\"n\">bind</span><span class=\"p\">(</span><span class=\"n\">ctx</span><span class=\"o\">=</span><span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">neuron</span><span class=\"p\">(</span><span class=\"mi\">2</span><span class=\"p\">),</span> <span class=\"n\">args</span><span class=\"o\">=</span><span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux_states</span><span class=\"o\">=</span><span class=\"n\">aux</span><span class=\"p\">,</span> <span class=\"n\">grad_req</span><span class=\"o\">=</span><span class=\"s1\">'null'</span><span class=\"p\">)</span>\n<span class=\"c1\"># loaded into the second group of NC2-NC5</span>\n<span class=\"n\">sym</span><span class=\"p\">,</span> <span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux</span> <span class=\"o\">=</span> <span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">load_checkpoint</span><span class=\"p\">(</span><span class=\"n\">mx_model2_file</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">)</span>\n<span class=\"n\">model2</span> <span class=\"o\">=</span> <span class=\"n\">sym</span><span class=\"o\">.</span><span class=\"n\">bind</span><span class=\"p\">(</span><span class=\"n\">ctx</span><span class=\"o\">=</span><span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">neuron</span><span class=\"p\">(</span><span class=\"mi\">2</span><span class=\"p\">),</span> <span class=\"n\">args</span><span class=\"o\">=</span><span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux_states</span><span class=\"o\">=</span><span class=\"n\">aux</span><span class=\"p\">,</span> <span class=\"n\">grad_req</span><span class=\"o\">=</span><span class=\"s1\">'null'</span><span class=\"p\">)</span>\n<span class=\"c1\"># loaded into the second group of NC2-NC5</span>\n<span class=\"n\">sym</span><span class=\"p\">,</span> <span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux</span> <span class=\"o\">=</span> <span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">model</span><span class=\"o\">.</span><span class=\"n\">load_checkpoint</span><span class=\"p\">(</span><span class=\"n\">mx_model3_file</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">)</span>\n<span class=\"n\">model3</span> <span class=\"o\">=</span> <span class=\"n\">sym</span><span class=\"o\">.</span><span class=\"n\">bind</span><span class=\"p\">(</span><span class=\"n\">ctx</span><span class=\"o\">=</span><span class=\"n\">mx</span><span class=\"o\">.</span><span class=\"n\">neuron</span><span class=\"p\">(</span><span class=\"mi\">2</span><span class=\"p\">),</span> <span class=\"n\">args</span><span class=\"o\">=</span><span class=\"n\">args</span><span class=\"p\">,</span> <span class=\"n\">aux_states</span><span class=\"o\">=</span><span class=\"n\">aux</span><span class=\"p\">,</span> <span class=\"n\">grad_req</span><span class=\"o\">=</span><span class=\"s1\">'null'</span><span class=\"p\">)</span>\n\n<span class=\"c1\"># run inference by simply calling the loaded model</span>\n<span class=\"n\">results0</span> <span class=\"o\">=</span> <span class=\"n\">model0</span><span class=\"o\">.</span><span class=\"n\">forward</span><span class=\"p\">(</span><span class=\"n\">data</span><span class=\"o\">=</span><span class=\"n\">inputs0</span><span class=\"p\">)</span>\n<span class=\"n\">results1</span> <span class=\"o\">=</span> <span class=\"n\">model1</span><span class=\"o\">.</span><span class=\"n\">forward</span><span class=\"p\">(</span><span class=\"n\">data</span><span class=\"o\">=</span><span class=\"n\">inputs1</span><span class=\"p\">)</span>\n<span class=\"n\">results2</span> <span class=\"o\">=</span> <span class=\"n\">model2</span><span class=\"o\">.</span><span class=\"n\">forward</span><span class=\"p\">(</span><span class=\"n\">data</span><span class=\"o\">=</span><span class=\"n\">inputs2</span><span class=\"p\">)</span>\n<span class=\"n\">results3</span> <span class=\"o\">=</span> <span class=\"n\">model3</span><span class=\"o\">.</span><span class=\"n\">forward</span><span class=\"p\">(</span><span class=\"n\">data</span><span class=\"o\">=</span><span class=\"n\">inputs3</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n<p>Loading multiple models in one NCG and single model in another NCG is\ncurrently not supported in TensorFlow and PyTorch.</p>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code></p>\n</div>\n</div>\n</div>\n\n<div class=\"section\">\n \n</div>\n\n </div>\n \n </main>\n <footer class=\"footer-article noprint\">\n \n <!-- Previous / next buttons -->\n<div class=\"prev-next-area\">\n <a class=\"left-prev\" id=\"prev-link\" href=\"performance-tuning.html\" title=\"previous page\">\n <i class=\"fas fa-angle-left\"></i>\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">previous</p>\n <p class=\"prev-next-title\">Performance Tuning</p>\n </div>\n </a>\n <a class=\"right-next\" id=\"next-link\" href=\"../../torch-neuron/rcnn-app-note.html\" title=\"next page\">\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">next</p>\n <p class=\"prev-next-title\">Running R-CNNs on Inf1</p>\n </div>\n <i class=\"fas fa-angle-right\"></i>\n </a>\n</div>\n </footer>\n </div>\n </div>\n <div class=\"footer-content row\">\n <footer class=\"col footer\"><p>\n \n By AWS<br>\n \n © Copyright 2023, Amazon.com.<br>\n</p>\n </footer>\n </div>\n \n</div>\n\n\n </div>\n </div>\n \n <!-- Scripts loaded after <body> so the DOM is not blocked -->\n <script src=\"../../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf\"></script>\n\n\n \n</body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:23.979Z"}}},{"rowIdx":288,"cells":{"title":{"kind":"string","value":"Generative LLM inference with Neuron — AWS Neuron Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html"},"markdown":{"kind":"string","value":"# Generative LLM inference with Neuron — AWS Neuron Documentation\n\n_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n`\n\n## Generative LLM inference with Neuron[#](#generative-llm-inference-with-neuron \"Permalink to this headline\")\n\nTable of contents\n\n- [Background](#background)\n \n- [Performance optimizations](#performance-optimizations)\n \n - [KV-caching:](#kv-caching)\n \n - [Model sharding:](#model-sharding)\n \n - [Computation/communication overlap:](#computation-communication-overlap)\n \n - [Compact data-types:](#compact-data-types)\n \n - [Bucketing:](#bucketing)\n \n- [Model partitioning](#model-partitioning)\n \n - [How many NeuronCores do I need?](#how-many-neuroncores-do-i-need)\n \n - [Which parallelism technique should I use?](#which-parallelism-technique-should-i-use)\n \n - [What batch-size should I use?](#what-batch-size-should-i-use)\n \n\n## [Background](#id2)[#](#background \"Permalink to this headline\")\n\nLarge Language Models (LLMs) generate human-like text through a process known as generative inference. Fundamentally, generative LLM inference generates text outputs given an input prompt, by iteratively predicting the next token in a sequence.\n\nThese models typically take a sequence of integers as input, which represent a sequence of tokens (words/subwords), and generate a prediction for the next token to be emitted. Below is a simple example that illustrates this in code:\n\n```\n# Vocabulary of tokens the model can parse. The position of each token in the\n# vocabulary is used as the token_id (an integer representing that token)\nvocab = [\"having\", \"I\", \"fun\", \"am\", \"learning\", \".\", \"Neuron\"]\n\n# input token_ids: list of integers that represent the input tokens in this\n# case: \"I\", \"am\", \"having\", \"fun\"\ninput_token_ids = [1, 3, 0, 2]\n\n\n# The LLM gets a vector of input token_ids, and generates a probability-distribution\n# for what the output token_id should be (with a probability score for each token_id\n# in the vocabulary)\noutput = LLM(input_token_ids)\n\n\n# by taking argmax on the output, we effectively perform a 'greedy sampling' process,\n# i.e. we choose the token_id with the highest probability. Other sampling techniques\n# also exist, e.g. Top-K. By choosing a probabilistic sampling method we enable the model\n# to generate different outputs when called multiple times with the same input.\nnext_token_id = np.argmax(output)\n\n\n# map the token_id back into an output token\nnext_token = vocab[next_token_id]\n\n```\n\nTo generate full sentences, the application iteratively invokes the LLM to generate the next token’s prediction, and at each iteration we append the predicted token back into the input:\n\n```\ndef generate(input_token_ids, n_tokens_to_generate):\n for _ in range(n_tokens_to_generate): # decode loop\n output = LLM(input_token_ids) # model forward pass\n\n next_token_id = np.argmax(output) # greedy sampling\n\n if (next_token_id == EOS_TOK_ID)\n break # break if generated End Of Sentence (EOS)\n\n # append the prediction to the input, and continue to the next out_token\n input_token_ids.append(int(next_token_id))\n\n return input_token_ids[-n_tokens_to_generate :] # only return generated token_ids\n\ninput_token_ids = [1, 3] # \"I\" \"am\"\noutput_token_ids = generate(input_tokens_ids, 4) # output_token_ids = [0, 2, 4, 6]\noutput_tokens = [vocab[i] for i in output_token_ids] # \"having\" \"fun\" \"learning\" “Neuron”\n\n```\n\nThis process, of predicting a future value (regression), and adding them back into the input (auto), is sometimes referred to as autoregression. For more details, Jay Mody’s [GPT in 60 Lines of NumPy](https://jaykmody.com/blog/gpt-from-scratch/) is an excellent writeup on GPTs (Generative Pre-trained Transformers).\n\n## [Performance optimizations](#id3)[#](#performance-optimizations \"Permalink to this headline\")\n\nThe sheer size of state-of-the-art LLMs, as well as the sequential nature of text generation, poses multiple challenges for efficient generative LLM deployment.\n\nFirst, the model is typically sharded across multiple devices in order to fit the model in device memory, which creates communication overhead and complexity among devices. Second, certain deployments have strict application-level latency bounds and hence require substantial latency optimizations, which is especially challenging due to the sequential nature of token-by-token generation. Finally, generating one token at a time often leads to poor device utilization due to low arithmetic intensity, which can be improved via batching (see [What batch-size should I use?](#what-batch-size-to-use)).\n\nThe Neuron SDK provides several built-in optimizations, to allow you to extract the optimal performance when deploying LLM models, including:\n\n### [KV-caching:](#id4)[#](#kv-caching \"Permalink to this headline\")\n\nThe [transformers-neuronx](https://github.com/aws-neuron/transformers-neuronx) library implements the KV-cache optimization, which saves compute resources by reusing previously calculated SelfAttention key-value pairs, instead of recalculating them for each generated token.\n\nTo illustrate this concept, we show the inner workings of the MaskedSelfAttention operator in the figure below.\n\nAt each token generation step, the Query vector of a single current token is multiplied by the Key vectors of all previous tokens in the sequence to create attention scores, and the scores are further multiplied by the Value vectors of all previous tokens.\n\n\n\nThe core idea behind this optimization is that instead of re-computing the Key and Value vectors for all previous tokens at each token generation step, Neuron can perform only the incremental computation for the current token and re-use previously computed Key/Value vectors from the KV-cache. The Key/Value vector of the current token is also appended to the KV-cache for the next token generation step.\n\n\n\nAs a final observation, one should note that the first token in the output sequence is unique in two ways:\n\n- There’s no KV-cache available at that point\n \n- Neuron needs to compute the entire KV-cache for <input\\_len> tokens (the input prompt), rather than one incremental KV-cache entry\n \n\nThis means that first-token latency is typically going to be higher than the following tokens.\n\n### [Model sharding:](#id5)[#](#model-sharding \"Permalink to this headline\")\n\nNeuron enables you to shard the model across devices via Tensor Parallelism, Pipeline Parallelism (coming soon), or a combination of the two (coming soon).\n\nTensor Parallelism shards each layer across multiple devices, and allows you to achieve the optimal latency.\n\nPipeline Parallelism places different layers on different devices and creates a pipeline between them (as the name suggests), and is mostly useful when optimizing throughput and/or cost-per-inference.\n\nTo find the optimal Tensor/Pipeline parallelism configuration for your model, see the [Model partitioning](#model-partitioning) section.\n\n### [Computation/communication overlap:](#id6)[#](#computation-communication-overlap \"Permalink to this headline\")\n\nThe Neuron compiler automatically fuses Collective Communication primitives (e.g. AllReduce) with the following computation (e.g. GEMM) in the compute graph. This helps to minimize any overhead caused by sharding the model across devices.\n\n### [Compact data-types:](#id7)[#](#compact-data-types \"Permalink to this headline\")\n\nNeuron supports INT8 (coming soon) and FP8 (coming soon), which can significantly reduce memory bandwidth and capacity requirements of the model. This is especially useful for Generative LLM inference which is typically memory bound. Therefore, using a compact data-type can improve the overall LLM inference performance with lower latency and higher throughput.\n\n### [Bucketing:](#id8)[#](#bucketing \"Permalink to this headline\")\n\nThe transformers-neuronx library automatically uses bucketing to process the input prompt and output tokens. Bucketing makes it possible to handle variable sequence lengths without requiring support for dynamic shapes. We use multiple progressively larger buckets to help minimize the portion of the KV-cache that we need to read for each token.\n\n## [Model partitioning](#id9)[#](#model-partitioning \"Permalink to this headline\")\n\n### [How many NeuronCores do I need?](#id10)[#](#how-many-neuroncores-do-i-need \"Permalink to this headline\")\n\nTransformer models are typically defined via a hyper-parameter configuration, such as the below:\n\n```\n{\n \"n_vocab\": 50257, # number of tokens in our vocabulary\n \"n_ctx\": 2048, # maximum possible sequence length of the input\n \"n_embd\": 9216, # embedding dimension (determines the \"width\" of the network)\n \"n_head\": 72, # number of attention heads (n_embd must be divisible by n_head)\n \"n_layer\": 64 # number of layers (determines the \"depth\" of the network)\n}\n\n```\n\nTo determine the number of NeuronCores needed to fit the model, we perform the following calculation:\n\n```\nweight_mem_footprint = 12 x <n_layer> x <n_embd>^2 x <dtype-size>\nKV_cache_mem_footprint = <batch-size> x <n_layer> x <n_ctx> x <n_embd> x 2 x <dtype-size>\n# <dtype-size> is 2 for BF16/FP16, or 1 for FP8/INT8\n\nmem_footprint = weight_mem_footprint + KV_cache_mem_footprint\n\n```\n\nAnd from here, determining the number of NeuronCores is straightforward:\n\n```\nnum_neuron_cores = ceil_to_closest_supported_size (mem_footprint / <NC-HBM-capacity>, <instance-type>) # 16GiB per Inferentia2/Trainium1 NeuronCore\n\n```\n\nAs an example, we examine running OPT-66B on Inf2, with batch-size of 16, the number of required NeuronCores can be computed as below.\n\n```\n# OPT-66B example (BF16, Inf2)\n# n_layer=64, n_ctx=2048, n_embd=9216, batch=16\nweight_mem_footprint = 12 x 64 x 9216^2 x 2 = 121.5 GiB\nKV_cache_mem_footprint = 16 x 64 x 2048 x 9216 x 2 x 2 = 72 GiB\n\nmem_footprint = 121.5GiB + 72GiB = 193.5 GiB\n\nnum_neuron_cores = ceil_to_closest_supported_size (193.5GiB / 16GiB, Inf2)\n = ceil_to_closest_supported_size (12.1) = 24\n ## Currently, the Neuron runtime supports tensor-parallelism degrees 2, 8, and 32 on Trn1\n ## and supports tensor-parallelism degrees 2, 4, 8, 12 and 24 on Inf2.\n\n```\n\nYou can use [Neuron Calculator](../../calculator/neuron-calculator.html#neuron-calculator) to compute the number of cores needed for a custom hyper-parameter configuration\n\n### [Which parallelism technique should I use?](#id11)[#](#which-parallelism-technique-should-i-use \"Permalink to this headline\")\n\nTensor parallelism improves latency, at the expense of increased intra-layer communication. Thus, as a general rule, we advise to use the smallest tensor parallelism degree that meets your latency requirement, and then use pipeline/data parallelism from that point on.\n\nIf latency is not a main concern in your application (e.g. model evaluation), and the primary goal is to maximize throughput (i.e., minimize total cost per token), then it is most efficient to use pipeline parallelism and increase the batch-size as much as possible.\n\n### [What batch-size should I use?](#id12)[#](#what-batch-size-should-i-use \"Permalink to this headline\")\n\nDue to the serial token generation nature of generative LLM inference, this workload tends to be extremely memory bound. This means that throughput (and thus cost per inference) will improve significantly by batching.\n\nAs a general rule, we recommend increasing the batch-size to the maximum amount that fits within the latency budget (up to batch=256, a larger batch-size beyond that typically does not help with performance).\n\nNote that the KV-cache grows linearly with the batch-size, and can grow to a point of running out of memory (typically referred to as OOM). If the latency budget allows, we recommend growing the batch-size to the maximum value that doesn’t result in OOM.\n\nUsers may also consider pipelining the model beyond what’s necessary to fit model parameters / KV-cache on devices, in order to free up device-memory space and thus allow the batch-size to grow higher without causing OOM issues.\n\n_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n`"},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Generative LLM inference with Neuron — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../../../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link href=\"../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n\n \n <link rel=\"stylesheet\" 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class=\"reference internal\" href=\"../../../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-4\" name=\"toctree-checkbox-4\" type=\"checkbox\">\n <label for=\"toctree-checkbox-4\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx\">\n Transformers Neuron GitHub samples\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/inference-api-guide-torch-neuronx.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-5\" name=\"toctree-checkbox-5\" type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" 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href=\"../../../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-28\" name=\"toctree-checkbox-28\" type=\"checkbox\">\n <label for=\"toctree-checkbox-28\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-tracing-python-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label for=\"toctree-checkbox-31\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-32\" name=\"toctree-checkbox-32\" type=\"checkbox\">\n <label for=\"toctree-checkbox-32\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-33\" name=\"toctree-checkbox-33\" type=\"checkbox\">\n <label for=\"toctree-checkbox-33\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/api-compilation-python-api.html\">\n Neuron Apache MXNet (Incubating) Compilation Python API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-34\" name=\"toctree-checkbox-34\" type=\"checkbox\">\n <label for=\"toctree-checkbox-34\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../mxnet-neuron/flex-eg.html\">\n Flexible Execution Group (FlexEG) in Neuron-MXNet\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/misc-mxnet-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-35\" name=\"toctree-checkbox-35\" type=\"checkbox\">\n <label for=\"toctree-checkbox-35\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for Neuron Apache MXNet (Incubating)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/mxnet-neuron/mxnet-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-mxnet.html\">\n Neuron Apache MXNet (Incubating) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Libraries\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/transformers-neuronx/index.html\">\n Transformers Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-36\" name=\"toctree-checkbox-36\" type=\"checkbox\">\n <label for=\"toctree-checkbox-36\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../libraries/transformers-neuronx/setup/index.html\">\n Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/transformers-neuronx/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-37\" name=\"toctree-checkbox-37\" type=\"checkbox\">\n <label for=\"toctree-checkbox-37\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../libraries/transformers-neuronx/transformers-neuronx-developer-guide.html\">\n Transformers Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n transformers-neuronx\n </span>\n </code>\n ) Developer Guide\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/transformers-neuronx/transformers-neuronx-tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-38\" name=\"toctree-checkbox-38\" type=\"checkbox\">\n <label for=\"toctree-checkbox-38\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/meta-llama-2-13b-sampling.ipynb\">\n Hugging Face meta-llama/Llama-2-13b autoregressive sampling on Inf2 & Trn1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-13b-sampling.ipynb\">\n Hugging Face facebook/opt-13b autoregressive sampling on Inf2 & Trn1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-30b-sampling.ipynb\">\n Hugging Face facebook/opt-30b autoregressive sampling on Inf2 & Trn1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-66b-sampling.ipynb\">\n Hugging Face facebook/opt-66b autoregressive sampling on Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/transformers-neuronx/transformers-neuronx-misc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-39\" name=\"toctree-checkbox-39\" type=\"checkbox\">\n <label for=\"toctree-checkbox-39\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/transformers-neuronx/index.html\">\n Transformers Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n transformers-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/index.html\">\n Neuron Distributed\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-40\" name=\"toctree-checkbox-40\" type=\"checkbox\">\n <label for=\"toctree-checkbox-40\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/setup/index.html\">\n Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/app_notes.html\">\n App 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notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-43\" name=\"toctree-checkbox-43\" type=\"checkbox\">\n <label for=\"toctree-checkbox-43\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/tp_developer_guide.html\">\n Developer guide for Tensor Parallelism (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/tutorials/index.html\">\n Tutorials\n </a>\n <input 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</a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/tutorials/inference.html\">\n Inference using Tensor Parallelism\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../libraries/neuronx-distributed/neuronx-distributed-misc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-45\" name=\"toctree-checkbox-45\" type=\"checkbox\">\n <label for=\"toctree-checkbox-45\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/neuronx-distributed/neuronx-distributed.html\">\n Neuron Distributed Release Notes (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../../libraries/nemo-megatron/index.html\">\n AWS Neuron Reference for NeMo Megatron\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n User Guide\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-runtime/index.html\">\n Neuron Runtime\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-46\" name=\"toctree-checkbox-46\" type=\"checkbox\">\n <label for=\"toctree-checkbox-46\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-runtime/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-47\" name=\"toctree-checkbox-47\" type=\"checkbox\">\n <label for=\"toctree-checkbox-47\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li 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href=\"../../../release-notes/compiler/neuron-cc/neuron-cc.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html\">\n Neuron Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/index.html\">\n Neuron C++ Custom Operators\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-59\" name=\"toctree-checkbox-59\" type=\"checkbox\">\n <label for=\"toctree-checkbox-59\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/api-reference-guide/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-60\" name=\"toctree-checkbox-60\" type=\"checkbox\">\n <label 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class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_evaluate_guide.html\">\n Evaluate Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_compile_guide.html\">\n Compile Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_model_index_guide.html\">\n Model Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/rn.html\">\n What’s New\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-69\" name=\"toctree-checkbox-69\" type=\"checkbox\">\n <label for=\"toctree-checkbox-69\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tools/neuronperf.html\">\n NeuronPerf 1.x Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../calculator/neuron-calculator.html\">\n Neuron Calculator\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../setup/index.html\">\n Setup Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-70\" name=\"toctree-checkbox-70\" type=\"checkbox\">\n <label for=\"toctree-checkbox-70\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" name=\"toctree-checkbox-71\" type=\"checkbox\">\n <label for=\"toctree-checkbox-71\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-72\" name=\"toctree-checkbox-72\" type=\"checkbox\">\n <label for=\"toctree-checkbox-72\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-73\" name=\"toctree-checkbox-73\" type=\"checkbox\">\n <label for=\"toctree-checkbox-73\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/tutorial-infer.html\">\n Run inference in pytorch neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/k8s_rn50_demo.html\">\n Deploy a TensorFlow Resnet50 model as a Kubernetes service\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label for=\"toctree-checkbox-74\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/tutorial-training.html\">\n Run training in Pytorch Neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/k8s_mlp_train_demo.html\">\n Deploy a simple mlp training script as a Kubernetes job\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-75\" name=\"toctree-checkbox-75\" type=\"checkbox\">\n <label for=\"toctree-checkbox-75\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-79\" name=\"toctree-checkbox-79\" type=\"checkbox\">\n <label for=\"toctree-checkbox-79\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/index.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-80\" name=\"toctree-checkbox-80\" type=\"checkbox\">\n <label for=\"toctree-checkbox-80\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/ec2-flows.html\">\n AWS EC2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-82\" name=\"toctree-checkbox-82\" type=\"checkbox\">\n <label for=\"toctree-checkbox-82\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-83\" name=\"toctree-checkbox-83\" type=\"checkbox\">\n <label for=\"toctree-checkbox-83\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-then-ec2-devflow.html\">\n Compile with Framework API and Deploy on EC2 Inf1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-then-ec2-devflow-inf2.html\">\n Compile with Framework API and Deploy on EC2 Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/training/ec2-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-84\" name=\"toctree-checkbox-84\" type=\"checkbox\">\n <label for=\"toctree-checkbox-84\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/training/ec2/ec2-training.html\">\n Train your model on EC2\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/eks-flows.html\">\n Amazon EKS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-85\" name=\"toctree-checkbox-85\" type=\"checkbox\">\n <label for=\"toctree-checkbox-85\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/eks-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-86\" name=\"toctree-checkbox-86\" type=\"checkbox\">\n <label for=\"toctree-checkbox-86\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/training/eks-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/ecs-flows.html\">\n AWS ECS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-87\" name=\"toctree-checkbox-87\" type=\"checkbox\">\n <label for=\"toctree-checkbox-87\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ecs-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-88\" name=\"toctree-checkbox-88\" type=\"checkbox\">\n <label for=\"toctree-checkbox-88\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/training/ecs-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/sagemaker-flows.html\">\n Sagemaker\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-89\" name=\"toctree-checkbox-89\" type=\"checkbox\">\n <label for=\"toctree-checkbox-89\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/sagemaker-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-90\" name=\"toctree-checkbox-90\" type=\"checkbox\">\n <label for=\"toctree-checkbox-90\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/byoc-hosting-devflow-inf2.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf2 or trn1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/byoc-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/neo-then-hosting-devflow.html\">\n Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/training/sagemaker-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-91\" name=\"toctree-checkbox-91\" type=\"checkbox\">\n <label for=\"toctree-checkbox-91\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/training/sm-devflow/sm-training-devflow.html\">\n Train your model on SageMaker\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sagemaker-samples\">\n AWS Neuron Sagemaker Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/parallelcluster-flows.html\">\n Parallel Cluster\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-92\" name=\"toctree-checkbox-92\" type=\"checkbox\">\n <label for=\"toctree-checkbox-92\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/inference/parallelcluster-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/training/parallelcluster-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-93\" name=\"toctree-checkbox-93\" type=\"checkbox\">\n <label for=\"toctree-checkbox-93\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/training/parallelcluster/parallelcluster-training.html\">\n Train your model on ParallelCluster\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/aws-batch-flows.html\">\n AWS Batch Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-94\" name=\"toctree-checkbox-94\" type=\"checkbox\">\n <label for=\"toctree-checkbox-94\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/inference/aws-batch-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/training/aws-batch-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Learning Neuron\n </span>\n</p>\n<ul class=\"current nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../arch/index.html\">\n Architecture\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-95\" name=\"toctree-checkbox-95\" type=\"checkbox\">\n <label for=\"toctree-checkbox-95\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inf1-arch.html\">\n AWS Inf1 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/trn1-arch.html\">\n AWS Trn1/Trn1n Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inf2-arch.html\">\n AWS Inf2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inferentia.html\">\n Inferentia Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inferentia2.html\">\n Inferentia2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/trainium.html\">\n Trainium Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/neuroncores-arch.html\">\n AWS NeuronCore Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/model-architecture-fit.html\">\n Neuron Model Architecture Fit Guidelines\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/glossary.html\">\n Neuron Glossary\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a 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href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.12.2/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v2.12.2</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.12.1/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v2.12.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.12.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v2.12.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.11.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v2.11.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.10.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v2.10.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.9.1/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v2.9.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.9.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v2.9.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.8.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v2.8.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.7.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v2.7.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.6.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v2.6.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.5.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v2.5.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.4.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v2.4.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.3.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v2.3.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.19.2/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v1.19.2</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.19.1/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v1.19.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.19.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v1.19.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.18.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v1.18.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.17.2/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v1.17.2</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.17.1/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v1.17.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.17.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v1.17.0</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.3/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v1.16.3</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.2/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v1.16.2</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.1/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v1.16.1</a>\n </dd>\n \n <dd>\n <a href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/v1.16.0/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">v1.16.0</a>\n </dd>\n \n </dl>\n \n \n\n \n \n <dl>\n <dt>Downloads</dt>\n \n <dd><a href=\"//awsdocs-neuron.readthedocs-hosted.com/_/downloads/en/v2.14.1/pdf/\">PDF</a></dd>\n \n </dl>\n \n \n\n \n\n\n\n \n\n \n <dl>\n <dt>On GitHub</dt>\n <dd>\n <a href=\"https://github.com/aws/aws-neuron-sdk/blob/v2.14.1//general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.rst\">View</a>\n </dd>\n \n </dl>\n \n \n\n \n\n <hr>\n\n \n<div>\n \n <div>\n Documentation hosted by <a href=\"https://readthedocs.com\">Read the Docs</a>\n </div>\n</div>\n\n\n \n </div>\n </div>\n \n\n</div>\n</div>\n</div>\n\n\n \n\n\n \n<!-- A tiny helper pixel to detect if we've scrolled -->\n<div class=\"sbt-scroll-pixel-helper\"></div>\n<!-- Main content -->\n<div class=\"col py-0 content-container\">\n \n <div class=\"header-article row sticky-top noprint\">\n \n\n\n\n<div class=\"col py-1 d-flex header-article-main\">\n <div class=\"header-article__left\">\n \n <label for=\"__navigation\" class=\"headerbtn\" data-toggle=\"tooltip\" data-placement=\"right\" title=\"\" data-original-title=\"Toggle navigation\">\n \n\n<span class=\"headerbtn__icon-container\">\n <i class=\"fas fa-bars\"></i>\n </span>\n\n</label>\n\n \n </div>\n <div 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</div>\n</div>\n<label for=\"__page-toc\" class=\"headerbtn headerbtn-page-toc\">\n \n\n<span class=\"headerbtn__icon-container\">\n <i class=\"fas fa-list\"></i>\n </span>\n\n</label>\n\n </div>\n</div>\n\n<!-- Table of contents -->\n<div class=\"col-md-3 bd-toc show noprint\">\n <div class=\"tocsection onthispage pt-5 pb-3\">\n <i class=\"fas fa-list\"></i> Contents\n </div>\n <nav id=\"bd-toc-nav\" aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#background\">\n Background\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#performance-optimizations\">\n Performance optimizations\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#kv-caching\">\n KV-caching:\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#model-sharding\">\n Model sharding:\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#computation-communication-overlap\">\n Computation/communication overlap:\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compact-data-types\">\n Compact data-types:\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#bucketing\">\n Bucketing:\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#model-partitioning\">\n Model partitioning\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#how-many-neuroncores-do-i-need\">\n How many NeuronCores do I need?\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#which-parallelism-technique-should-i-use\">\n Which parallelism technique should I use?\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#what-batch-size-should-i-use\">\n What batch-size should I use?\n </a>\n </li>\n </ul>\n </li>\n</ul>\n\n </nav>\n</div>\n </div>\n <div class=\"article row\">\n <div class=\"col pl-md-3 pl-lg-5 content-container\">\n <!-- Table of contents that is only displayed when printing the page -->\n <div id=\"jb-print-docs-body\" class=\"onlyprint\">\n <h1>Generative LLM inference with Neuron</h1>\n <!-- Table of contents -->\n <div id=\"print-main-content\">\n <div id=\"jb-print-toc\">\n \n <div>\n <h2> Contents </h2>\n </div>\n <nav aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#background\">\n Background\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#performance-optimizations\">\n Performance optimizations\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#kv-caching\">\n KV-caching:\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#model-sharding\">\n Model sharding:\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#computation-communication-overlap\">\n Computation/communication overlap:\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#compact-data-types\">\n Compact data-types:\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#bucketing\">\n Bucketing:\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#model-partitioning\">\n Model partitioning\n </a>\n <ul class=\"nav section-nav flex-column\">\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#how-many-neuroncores-do-i-need\">\n How many NeuronCores do I need?\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#which-parallelism-technique-should-i-use\">\n Which parallelism technique should I use?\n </a>\n </li>\n <li class=\"toc-h3 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#what-batch-size-should-i-use\">\n What batch-size should I use?\n </a>\n </li>\n </ul>\n </li>\n</ul>\n\n </nav>\n </div>\n </div>\n </div>\n <main id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n<div class=\"section\" id=\"generative-llm-inference-with-neuron\">\n<span id=\"neuron-llm-inference\"></span><h1>Generative LLM inference with Neuron<a class=\"headerlink\" href=\"#generative-llm-inference-with-neuron\" title=\"Permalink to this headline\">#</a></h1>\n<div class=\"contents local topic\" id=\"table-of-contents\">\n<p class=\"topic-title\">Table of contents</p>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"#background\" id=\"id2\">Background</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#performance-optimizations\" id=\"id3\">Performance optimizations</a></p>\n<ul>\n<li><p><a class=\"reference internal\" href=\"#kv-caching\" id=\"id4\">KV-caching:</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#model-sharding\" id=\"id5\">Model sharding:</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#computation-communication-overlap\" id=\"id6\">Computation/communication overlap:</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#compact-data-types\" id=\"id7\">Compact data-types:</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#bucketing\" id=\"id8\">Bucketing:</a></p></li>\n</ul>\n</li>\n<li><p><a class=\"reference internal\" href=\"#model-partitioning\" id=\"id9\">Model partitioning</a></p>\n<ul>\n<li><p><a class=\"reference internal\" href=\"#how-many-neuroncores-do-i-need\" id=\"id10\">How many NeuronCores do I need?</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#which-parallelism-technique-should-i-use\" id=\"id11\">Which parallelism technique should I use?</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#what-batch-size-should-i-use\" id=\"id12\">What batch-size should I use?</a></p></li>\n</ul>\n</li>\n</ul>\n</div>\n<div class=\"section\" id=\"background\">\n<h2><a class=\"toc-backref\" href=\"#id2\">Background</a><a class=\"headerlink\" href=\"#background\" title=\"Permalink to this headline\">#</a></h2>\n<p>Large Language Models (LLMs) generate human-like text through a\nprocess known as generative inference. Fundamentally, generative LLM\ninference generates text outputs given an input prompt, by\niteratively predicting the next token in a sequence.</p>\n<p>These models typically take a sequence of integers as input, which\nrepresent a sequence of tokens (words/subwords), and generate a\nprediction for the next token to be emitted. Below is a simple example\nthat illustrates this in code:</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Vocabulary of tokens the model can parse. The position of each token in the</span>\n<span class=\"c1\"># vocabulary is used as the token_id (an integer representing that token)</span>\n<span class=\"n\">vocab</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"s2\">\"having\"</span><span class=\"p\">,</span> <span class=\"s2\">\"I\"</span><span class=\"p\">,</span> <span class=\"s2\">\"fun\"</span><span class=\"p\">,</span> <span class=\"s2\">\"am\"</span><span class=\"p\">,</span> <span class=\"s2\">\"learning\"</span><span class=\"p\">,</span> <span class=\"s2\">\".\"</span><span class=\"p\">,</span> <span class=\"s2\">\"Neuron\"</span><span class=\"p\">]</span>\n\n<span class=\"c1\"># input token_ids: list of integers that represent the input tokens in this</span>\n<span class=\"c1\"># case: \"I\", \"am\", \"having\", \"fun\"</span>\n<span class=\"n\">input_token_ids</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"mi\">3</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"mi\">2</span><span class=\"p\">]</span>\n\n\n<span class=\"c1\"># The LLM gets a vector of input token_ids, and generates a probability-distribution</span>\n<span class=\"c1\"># for what the output token_id should be (with a probability score for each token_id</span>\n<span class=\"c1\"># in the vocabulary)</span>\n<span class=\"n\">output</span> <span class=\"o\">=</span> <span class=\"n\">LLM</span><span class=\"p\">(</span><span class=\"n\">input_token_ids</span><span class=\"p\">)</span>\n\n\n<span class=\"c1\"># by taking argmax on the output, we effectively perform a 'greedy sampling' process,</span>\n<span class=\"c1\"># i.e. we choose the token_id with the highest probability. Other sampling techniques</span>\n<span class=\"c1\"># also exist, e.g. Top-K. By choosing a probabilistic sampling method we enable the model</span>\n<span class=\"c1\"># to generate different outputs when called multiple times with the same input.</span>\n<span class=\"n\">next_token_id</span> <span class=\"o\">=</span> <span class=\"n\">np</span><span class=\"o\">.</span><span class=\"n\">argmax</span><span class=\"p\">(</span><span class=\"n\">output</span><span class=\"p\">)</span>\n\n\n<span class=\"c1\"># map the token_id back into an output token</span>\n<span class=\"n\">next_token</span> <span class=\"o\">=</span> <span class=\"n\">vocab</span><span class=\"p\">[</span><span class=\"n\">next_token_id</span><span class=\"p\">]</span>\n</pre></div>\n</div>\n<p>To generate full sentences, the application iteratively invokes the\nLLM to generate the next token’s prediction, and at each iteration we\nappend the predicted token back into the input:</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"k\">def</span> <span class=\"nf\">generate</span><span class=\"p\">(</span><span class=\"n\">input_token_ids</span><span class=\"p\">,</span> <span class=\"n\">n_tokens_to_generate</span><span class=\"p\">):</span>\n <span class=\"k\">for</span> <span class=\"n\">_</span> <span class=\"ow\">in</span> <span class=\"nb\">range</span><span class=\"p\">(</span><span class=\"n\">n_tokens_to_generate</span><span class=\"p\">):</span> <span class=\"c1\"># decode loop</span>\n <span class=\"n\">output</span> <span class=\"o\">=</span> <span class=\"n\">LLM</span><span class=\"p\">(</span><span class=\"n\">input_token_ids</span><span class=\"p\">)</span> <span class=\"c1\"># model forward pass</span>\n\n <span class=\"n\">next_token_id</span> <span class=\"o\">=</span> <span class=\"n\">np</span><span class=\"o\">.</span><span class=\"n\">argmax</span><span class=\"p\">(</span><span class=\"n\">output</span><span class=\"p\">)</span> <span class=\"c1\"># greedy sampling</span>\n\n <span class=\"k\">if</span> <span class=\"p\">(</span><span class=\"n\">next_token_id</span> <span class=\"o\">==</span> <span class=\"n\">EOS_TOK_ID</span><span class=\"p\">)</span>\n <span class=\"k\">break</span> <span class=\"c1\"># break if generated End Of Sentence (EOS)</span>\n\n <span class=\"c1\"># append the prediction to the input, and continue to the next out_token</span>\n <span class=\"n\">input_token_ids</span><span class=\"o\">.</span><span class=\"n\">append</span><span class=\"p\">(</span><span class=\"nb\">int</span><span class=\"p\">(</span><span class=\"n\">next_token_id</span><span class=\"p\">))</span>\n\n <span class=\"k\">return</span> <span class=\"n\">input_token_ids</span><span class=\"p\">[</span><span class=\"o\">-</span><span class=\"n\">n_tokens_to_generate</span> <span class=\"p\">:]</span> <span class=\"c1\"># only return generated token_ids</span>\n\n<span class=\"n\">input_token_ids</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"mi\">3</span><span class=\"p\">]</span> <span class=\"c1\"># \"I\" \"am\"</span>\n<span class=\"n\">output_token_ids</span> <span class=\"o\">=</span> <span class=\"n\">generate</span><span class=\"p\">(</span><span class=\"n\">input_tokens_ids</span><span class=\"p\">,</span> <span class=\"mi\">4</span><span class=\"p\">)</span> <span class=\"c1\"># output_token_ids = [0, 2, 4, 6]</span>\n<span class=\"n\">output_tokens</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"n\">vocab</span><span class=\"p\">[</span><span class=\"n\">i</span><span class=\"p\">]</span> <span class=\"k\">for</span> <span class=\"n\">i</span> <span class=\"ow\">in</span> <span class=\"n\">output_token_ids</span><span class=\"p\">]</span> <span class=\"c1\"># \"having\" \"fun\" \"learning\" “Neuron”</span>\n</pre></div>\n</div>\n<p>This process, of predicting a future value (regression), and adding\nthem back into the input (auto), is sometimes referred to as\nautoregression. For more details, Jay Mody’s <a class=\"reference external\" href=\"https://jaykmody.com/blog/gpt-from-scratch/\">GPT in 60 Lines of\nNumPy</a> is an\nexcellent writeup on GPTs (Generative Pre-trained Transformers).</p>\n</div>\n<div class=\"section\" id=\"performance-optimizations\">\n<h2><a class=\"toc-backref\" href=\"#id3\">Performance optimizations</a><a class=\"headerlink\" href=\"#performance-optimizations\" title=\"Permalink to this headline\">#</a></h2>\n<p>The sheer size of state-of-the-art LLMs, as well as the sequential\nnature of text generation, poses multiple challenges for efficient\ngenerative LLM deployment.</p>\n<p>First, the model is typically sharded across multiple devices in order to fit the model\nin device memory, which creates communication overhead and complexity among devices.\nSecond, certain deployments have strict application-level latency bounds and hence require\nsubstantial latency optimizations, which is especially challenging due to the sequential nature\nof token-by-token generation. Finally, generating one token at a time often leads to poor\ndevice utilization due to low arithmetic intensity, which can be improved via batching (see <a class=\"reference internal\" href=\"#what-batch-size-to-use\"><span class=\"std std-ref\">What batch-size should I use?</span></a>).</p>\n<p>The Neuron SDK provides several built-in\noptimizations, to allow you to extract the optimal performance when\ndeploying LLM models, including:</p>\n<div class=\"section\" id=\"kv-caching\">\n<h3><a class=\"toc-backref\" href=\"#id4\">KV-caching:</a><a class=\"headerlink\" href=\"#kv-caching\" title=\"Permalink to this headline\">#</a></h3>\n<p>The <a class=\"reference external\" href=\"https://github.com/aws-neuron/transformers-neuronx\">transformers-neuronx</a>\nlibrary implements the KV-cache optimization, which saves compute\nresources by reusing previously calculated SelfAttention key-value\npairs, instead of recalculating them for each generated token.</p>\n<p>To illustrate this concept, we show the\ninner workings of the MaskedSelfAttention operator in the figure below.</p>\n<p>At each token generation step, the Query vector of a single current token is multiplied by the Key vectors of all\nprevious tokens in the sequence to create attention scores, and the scores are further multiplied by the Value\nvectors of all previous tokens.</p>\n<img alt=\"../../../_images/masked-self-attention-operator.png\" src=\"../../../_images/masked-self-attention-operator.png\">\n<p>The core idea behind this optimization is that instead of re-computing the Key and Value vectors\nfor all previous tokens at each token generation step, Neuron can perform only the incremental\ncomputation for the current token and re-use previously computed Key/Value vectors from the KV-cache.\nThe Key/Value vector of the current token is also appended to the KV-cache for the next token generation step.</p>\n<img alt=\"../../../_images/kv-cache-optimization.png\" src=\"../../../_images/kv-cache-optimization.png\">\n<p>As a final observation, one should note that the first token in the\noutput sequence is unique in two ways:</p>\n<div class=\"docutils container\">\n<ul class=\"simple\">\n<li><p>There’s no KV-cache available at that point</p></li>\n<li><p>Neuron needs to compute the entire KV-cache for <input_len> tokens (the\ninput prompt), rather than one incremental KV-cache entry</p></li>\n</ul>\n</div>\n<p>This means that first-token latency is typically going to be higher\nthan the following tokens.</p>\n</div>\n<div class=\"section\" id=\"model-sharding\">\n<h3><a class=\"toc-backref\" href=\"#id5\">Model sharding:</a><a class=\"headerlink\" href=\"#model-sharding\" title=\"Permalink to this headline\">#</a></h3>\n<p>Neuron enables you to shard the model across devices via Tensor\nParallelism, Pipeline Parallelism (coming soon), or a combination of the two (coming soon).</p>\n<p>Tensor Parallelism shards each layer across multiple devices, and\nallows you to achieve the optimal latency.</p>\n<p>Pipeline Parallelism places different layers on different devices and\ncreates a pipeline between them (as the name suggests), and is mostly\nuseful when optimizing throughput and/or cost-per-inference.</p>\n<p>To find the optimal Tensor/Pipeline parallelism configuration for your\nmodel, see the <a class=\"reference internal\" href=\"#model-partitioning\"><span class=\"std std-ref\">Model partitioning</span></a> section.</p>\n</div>\n<div class=\"section\" id=\"computation-communication-overlap\">\n<h3><a class=\"toc-backref\" href=\"#id6\">Computation/communication overlap:</a><a class=\"headerlink\" href=\"#computation-communication-overlap\" title=\"Permalink to this headline\">#</a></h3>\n<p>The Neuron compiler automatically fuses Collective Communication\nprimitives (e.g. AllReduce) with the following computation (e.g.\nGEMM) in the compute graph. This helps to minimize any overhead caused by sharding the\nmodel across devices.</p>\n</div>\n<div class=\"section\" id=\"compact-data-types\">\n<h3><a class=\"toc-backref\" href=\"#id7\">Compact data-types:</a><a class=\"headerlink\" href=\"#compact-data-types\" title=\"Permalink to this headline\">#</a></h3>\n<p>Neuron supports INT8 (coming soon) and FP8 (coming soon), which can significantly reduce memory bandwidth and capacity requirements of the model.\nThis is especially useful for Generative LLM inference which is typically memory bound. Therefore, using a compact data-type can improve the overall\nLLM inference performance with lower latency and higher throughput.</p>\n</div>\n<div class=\"section\" id=\"bucketing\">\n<h3><a class=\"toc-backref\" href=\"#id8\">Bucketing:</a><a class=\"headerlink\" href=\"#bucketing\" title=\"Permalink to this headline\">#</a></h3>\n<p>The transformers-neuronx library automatically uses bucketing to process the input prompt and output tokens. Bucketing makes\nit possible to handle variable sequence lengths without requiring support for dynamic shapes. We use multiple progressively\nlarger buckets to help minimize the portion of the KV-cache that we need to read for each token.</p>\n</div>\n</div>\n<div class=\"section\" id=\"model-partitioning\">\n<span id=\"id1\"></span><h2><a class=\"toc-backref\" href=\"#id9\">Model partitioning</a><a class=\"headerlink\" href=\"#model-partitioning\" title=\"Permalink to this headline\">#</a></h2>\n<div class=\"section\" id=\"how-many-neuroncores-do-i-need\">\n<h3><a class=\"toc-backref\" href=\"#id10\">How many NeuronCores do I need?</a><a class=\"headerlink\" href=\"#how-many-neuroncores-do-i-need\" title=\"Permalink to this headline\">#</a></h3>\n<p>Transformer models are typically defined via a hyper-parameter configuration, such\nas the below:</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"p\">{</span>\n <span class=\"s2\">\"n_vocab\"</span><span class=\"p\">:</span> <span class=\"mi\">50257</span><span class=\"p\">,</span> <span class=\"c1\"># number of tokens in our vocabulary</span>\n <span class=\"s2\">\"n_ctx\"</span><span class=\"p\">:</span> <span class=\"mi\">2048</span><span class=\"p\">,</span> <span class=\"c1\"># maximum possible sequence length of the input</span>\n <span class=\"s2\">\"n_embd\"</span><span class=\"p\">:</span> <span class=\"mi\">9216</span><span class=\"p\">,</span> <span class=\"c1\"># embedding dimension (determines the \"width\" of the network)</span>\n <span class=\"s2\">\"n_head\"</span><span class=\"p\">:</span> <span class=\"mi\">72</span><span class=\"p\">,</span> <span class=\"c1\"># number of attention heads (n_embd must be divisible by n_head)</span>\n <span class=\"s2\">\"n_layer\"</span><span class=\"p\">:</span> <span class=\"mi\">64</span> <span class=\"c1\"># number of layers (determines the \"depth\" of the network)</span>\n<span class=\"p\">}</span>\n</pre></div>\n</div>\n<p>To determine the number of NeuronCores needed to fit the model, we\nperform the following calculation:</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"n\">weight_mem_footprint</span> <span class=\"o\">=</span> <span class=\"mi\">12</span> <span class=\"n\">x</span> <span class=\"o\"><</span><span class=\"n\">n_layer</span><span class=\"o\">></span> <span class=\"n\">x</span> <span class=\"o\"><</span><span class=\"n\">n_embd</span><span class=\"o\">>^</span><span class=\"mi\">2</span> <span class=\"n\">x</span> <span class=\"o\"><</span><span class=\"n\">dtype</span><span class=\"o\">-</span><span class=\"n\">size</span><span class=\"o\">></span>\n<span class=\"n\">KV_cache_mem_footprint</span> <span class=\"o\">=</span> <span class=\"o\"><</span><span class=\"n\">batch</span><span class=\"o\">-</span><span class=\"n\">size</span><span class=\"o\">></span> <span class=\"n\">x</span> <span class=\"o\"><</span><span class=\"n\">n_layer</span><span class=\"o\">></span> <span class=\"n\">x</span> <span class=\"o\"><</span><span class=\"n\">n_ctx</span><span class=\"o\">></span> <span class=\"n\">x</span> <span class=\"o\"><</span><span class=\"n\">n_embd</span><span class=\"o\">></span> <span class=\"n\">x</span> <span class=\"mi\">2</span> <span class=\"n\">x</span> <span class=\"o\"><</span><span class=\"n\">dtype</span><span class=\"o\">-</span><span class=\"n\">size</span><span class=\"o\">></span>\n<span class=\"c1\"># <dtype-size> is 2 for BF16/FP16, or 1 for FP8/INT8</span>\n\n<span class=\"n\">mem_footprint</span> <span class=\"o\">=</span> <span class=\"n\">weight_mem_footprint</span> <span class=\"o\">+</span> <span class=\"n\">KV_cache_mem_footprint</span>\n</pre></div>\n</div>\n<p>And from here, determining the number of NeuronCores is straightforward:</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"n\">num_neuron_cores</span> <span class=\"o\">=</span> <span class=\"n\">ceil_to_closest_supported_size</span> <span class=\"p\">(</span><span class=\"n\">mem_footprint</span> <span class=\"o\">/</span> <span class=\"o\"><</span><span class=\"n\">NC</span><span class=\"o\">-</span><span class=\"n\">HBM</span><span class=\"o\">-</span><span class=\"n\">capacity</span><span class=\"o\">></span><span class=\"p\">,</span> <span class=\"o\"><</span><span class=\"n\">instance</span><span class=\"o\">-</span><span class=\"nb\">type</span><span class=\"o\">></span><span class=\"p\">)</span> <span class=\"c1\"># 16GiB per Inferentia2/Trainium1 NeuronCore</span>\n</pre></div>\n</div>\n<p>As an example, we examine running OPT-66B on Inf2, with batch-size of 16,\nthe number of required NeuronCores can be computed as below.</p>\n<div class=\"highlight-python notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># OPT-66B example (BF16, Inf2)</span>\n<span class=\"c1\"># n_layer=64, n_ctx=2048, n_embd=9216, batch=16</span>\n<span class=\"n\">weight_mem_footprint</span> <span class=\"o\">=</span> <span class=\"mi\">12</span> <span class=\"n\">x</span> <span class=\"mi\">64</span> <span class=\"n\">x</span> <span class=\"mi\">9216</span><span class=\"o\">^</span><span class=\"mi\">2</span> <span class=\"n\">x</span> <span class=\"mi\">2</span> <span class=\"o\">=</span> <span class=\"mf\">121.5</span> <span class=\"n\">GiB</span>\n<span class=\"n\">KV_cache_mem_footprint</span> <span class=\"o\">=</span> <span class=\"mi\">16</span> <span class=\"n\">x</span> <span class=\"mi\">64</span> <span class=\"n\">x</span> <span class=\"mi\">2048</span> <span class=\"n\">x</span> <span class=\"mi\">9216</span> <span class=\"n\">x</span> <span class=\"mi\">2</span> <span class=\"n\">x</span> <span class=\"mi\">2</span> <span class=\"o\">=</span> <span class=\"mi\">72</span> <span class=\"n\">GiB</span>\n\n<span class=\"n\">mem_footprint</span> <span class=\"o\">=</span> <span class=\"mf\">121.5</span><span class=\"n\">GiB</span> <span class=\"o\">+</span> <span class=\"mi\">72</span><span class=\"n\">GiB</span> <span class=\"o\">=</span> <span class=\"mf\">193.5</span> <span class=\"n\">GiB</span>\n\n<span class=\"n\">num_neuron_cores</span> <span class=\"o\">=</span> <span class=\"n\">ceil_to_closest_supported_size</span> <span class=\"p\">(</span><span class=\"mf\">193.5</span><span class=\"n\">GiB</span> <span class=\"o\">/</span> <span class=\"mi\">16</span><span class=\"n\">GiB</span><span class=\"p\">,</span> <span class=\"n\">Inf2</span><span class=\"p\">)</span>\n <span class=\"o\">=</span> <span class=\"n\">ceil_to_closest_supported_size</span> <span class=\"p\">(</span><span class=\"mf\">12.1</span><span class=\"p\">)</span> <span class=\"o\">=</span> <span class=\"mi\">24</span>\n <span class=\"c1\">## Currently, the Neuron runtime supports tensor-parallelism degrees 2, 8, and 32 on Trn1</span>\n <span class=\"c1\">## and supports tensor-parallelism degrees 2, 4, 8, 12 and 24 on Inf2.</span>\n</pre></div>\n</div>\n<p>You can use <a class=\"reference internal\" href=\"../../calculator/neuron-calculator.html#neuron-calculator\"><span class=\"std std-ref\">Neuron Calculator</span></a> to compute the number of cores needed for a custom hyper-parameter configuration</p>\n</div>\n<div class=\"section\" id=\"which-parallelism-technique-should-i-use\">\n<h3><a class=\"toc-backref\" href=\"#id11\">Which parallelism technique should I use?</a><a class=\"headerlink\" href=\"#which-parallelism-technique-should-i-use\" title=\"Permalink to this headline\">#</a></h3>\n<p>Tensor parallelism improves latency, at the expense of increased\nintra-layer communication. Thus, as a general rule, we advise to use\nthe smallest tensor parallelism degree that meets your latency\nrequirement, and then use pipeline/data parallelism from that point on.</p>\n<p>If latency is not a main concern in your application (e.g. model evaluation),\nand the primary goal is to maximize throughput (i.e., minimize total cost per token),\nthen it is most efficient to use pipeline parallelism and increase the batch-size\nas much as possible.</p>\n</div>\n<div class=\"section\" id=\"what-batch-size-should-i-use\">\n<span id=\"what-batch-size-to-use\"></span><h3><a class=\"toc-backref\" href=\"#id12\">What batch-size should I use?</a><a class=\"headerlink\" href=\"#what-batch-size-should-i-use\" title=\"Permalink to this headline\">#</a></h3>\n<p>Due to the serial token generation nature of generative LLM inference,\nthis workload tends to be extremely memory bound. This means that\nthroughput (and thus cost per inference) will improve significantly by\nbatching.</p>\n<p>As a general rule, we recommend increasing the batch-size to the\nmaximum amount that fits within the latency budget (up to batch=256,\na larger batch-size beyond that typically does not help with performance).</p>\n<p>Note that the KV-cache grows linearly with the batch-size, and can\ngrow to a point of running out of memory (typically referred to as\nOOM). If the latency budget allows, we recommend growing the\nbatch-size to the maximum value that doesn’t result in OOM.</p>\n<p>Users may also consider pipelining the model beyond what’s necessary\nto fit model parameters / KV-cache on devices, in order to free up\ndevice-memory space and thus allow the batch-size to grow higher\nwithout causing OOM issues.</p>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n</div>\n</div>\n</div>\n\n<div class=\"section\">\n \n</div>\n\n </div>\n \n </main>\n <footer class=\"footer-article noprint\">\n \n <!-- Previous / next buttons -->\n<div class=\"prev-next-area\">\n <a class=\"left-prev\" id=\"prev-link\" href=\"../torch-neuron/rcnn-app-note.html\" title=\"previous page\">\n <i class=\"fas fa-angle-left\"></i>\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">previous</p>\n <p class=\"prev-next-title\">Running R-CNNs on Inf1</p>\n </div>\n </a>\n <a class=\"right-next\" id=\"next-link\" href=\"../../faq.html\" title=\"next page\">\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">next</p>\n <p class=\"prev-next-title\">Neuron FAQ</p>\n </div>\n <i class=\"fas fa-angle-right\"></i>\n </a>\n</div>\n </footer>\n </div>\n </div>\n <div class=\"footer-content row\">\n <footer class=\"col footer\"><p>\n \n By AWS<br>\n \n © Copyright 2023, Amazon.com.<br>\n</p>\n </footer>\n </div>\n \n</div>\n\n\n </div>\n </div>\n \n <!-- Scripts loaded after <body> so the DOM is not blocked -->\n <script src=\"../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf\"></script>\n\n\n \n</body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:24.166Z"}}},{"rowIdx":289,"cells":{"title":{"kind":"string","value":""},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/_sources/general/quick-start/index.rst.txt"},"markdown":{"kind":"string","value":"```\n.. _neuron-quickstart:\n\nGet Started with Neuron\n=======================\nThis section walks you through the various options to get started with Neuron. You have to install Neuron on Trainium and Inferentia powered instances to enable deep-learning acceleration. \n\n\n.. card:: Get Started with PyTorch\n :link: pytorch-neuronx-main\n :link-type: ref\n :class-body: sphinx-design-class-title-small\n\n\n.. card:: Get Started with TensorFlow\n :link: tensorflow-neuron-main\n :link-type: ref\n :class-body: sphinx-design-class-title-small\n\n\n.. card:: Get Started with MXNet\n :link: mxnet-neuron-main\n :link-type: ref\n :class-body: sphinx-design-class-title-small\n\n\n\n\n```"},"html":{"kind":"string","value":"<html><head><meta name=\"color-scheme\" content=\"light dark\"></head><body><pre style=\"word-wrap: break-word; white-space: pre-wrap;\">.. _neuron-quickstart:\n\nGet Started with Neuron\n=======================\nThis section walks you through the various options to get started with Neuron. You have to install Neuron on Trainium and Inferentia powered instances to enable deep-learning acceleration. \n\n\n.. card:: Get Started with PyTorch\n :link: pytorch-neuronx-main\n :link-type: ref\n :class-body: sphinx-design-class-title-small\n\n\n.. card:: Get Started with TensorFlow\n :link: tensorflow-neuron-main\n :link-type: ref\n :class-body: sphinx-design-class-title-small\n\n\n.. card:: Get Started with MXNet\n :link: mxnet-neuron-main\n :link-type: ref\n :class-body: sphinx-design-class-title-small\n\n\n\n</pre></body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:24.257Z"}}},{"rowIdx":290,"cells":{"title":{"kind":"string","value":"Roadmap — AWS Neuron Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/roadmap-readme.html"},"markdown":{"kind":"string","value":"# Roadmap — AWS Neuron Documentation\n\nToggle in-page Table of Contents\n\n_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`\n\n## Roadmap[#](#roadmap \"Permalink to this headline\")\n\nThe AWS Neuron feature roadmap provides visibility onto what we are working on in terms of functional and performance in the near future. We hope this will help you better plan how to use Neuron with your products. We’d love to get our customers feedback as well, to help us ensure we are working on the most important requests.\n\n- [Neuron Public Roadmap](https://github.com/orgs/aws-neuron/projects/1/views/1)\n\n_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`"},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Roadmap — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link href=\"../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n\n \n <link rel=\"stylesheet\" href=\"../_static/vendor/fontawesome/5.13.0/css/all.min.css\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" href=\"../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2\">\n <link 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<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Overview\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/docs-quicklinks.html\">\n Quick Links\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/index.html\">\n Get Started with Neuron\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/github-samples.html\">\n GitHub Samples\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"benchmarks/index.html\">\n Performance\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../release-notes/index.html\">\n What’s New\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"announcements/index.html\">\n Announcements\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Frameworks\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/index.html\">\n PyTorch Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-1\" name=\"toctree-checkbox-1\" type=\"checkbox\">\n <label for=\"toctree-checkbox-1\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-setup.html\">\n Pytorch Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuronx.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-2\" name=\"toctree-checkbox-2\" type=\"checkbox\">\n <label for=\"toctree-checkbox-2\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorials-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-3\" name=\"toctree-checkbox-3\" type=\"checkbox\">\n <label for=\"toctree-checkbox-3\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/bert-base-cased-finetuned-mrpc-inference-on-trn1-tutorial.html\">\n Compiling and Deploying HuggingFace Pretrained BERT on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorial-torchserve-neuronx.html\">\n BERT TorchServe Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorial-libtorch.html\">\n LibTorch C++ Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-4\" name=\"toctree-checkbox-4\" type=\"checkbox\">\n <label for=\"toctree-checkbox-4\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx\">\n Transformers Neuron GitHub samples\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/inference-api-guide-torch-neuronx.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-5\" name=\"toctree-checkbox-5\" type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n 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class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label 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href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-33\" name=\"toctree-checkbox-33\" type=\"checkbox\">\n <label for=\"toctree-checkbox-33\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/api-compilation-python-api.html\">\n Neuron Apache MXNet (Incubating) Compilation Python API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-34\" 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href=\"../release-notes/mxnet-neuron/mxnet-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-mxnet.html\">\n Neuron Apache MXNet (Incubating) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Libraries\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/index.html\">\n Transformers Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-36\" name=\"toctree-checkbox-36\" type=\"checkbox\">\n <label for=\"toctree-checkbox-36\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" 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href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-30b-sampling.ipynb\">\n Hugging Face facebook/opt-30b autoregressive sampling on Inf2 & Trn1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-66b-sampling.ipynb\">\n Hugging Face facebook/opt-66b autoregressive sampling on Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/transformers-neuronx-misc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-39\" name=\"toctree-checkbox-39\" type=\"checkbox\">\n <label for=\"toctree-checkbox-39\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" 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</li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-43\" name=\"toctree-checkbox-43\" type=\"checkbox\">\n <label for=\"toctree-checkbox-43\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tp_developer_guide.html\">\n Developer guide for Tensor Parallelism (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tutorials/index.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-44\" name=\"toctree-checkbox-44\" type=\"checkbox\">\n <label 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href=\"../libraries/neuronx-distributed/tutorials/inference.html\">\n Inference using Tensor Parallelism\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/neuronx-distributed-misc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-45\" name=\"toctree-checkbox-45\" type=\"checkbox\">\n <label for=\"toctree-checkbox-45\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/neuronx-distributed/neuronx-distributed.html\">\n Neuron Distributed Release Notes (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../libraries/nemo-megatron/index.html\">\n AWS Neuron Reference for NeMo Megatron\n 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href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html\">\n Neuron Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/index.html\">\n Neuron C++ Custom Operators\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-59\" name=\"toctree-checkbox-59\" type=\"checkbox\">\n <label for=\"toctree-checkbox-59\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/api-reference-guide/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-60\" name=\"toctree-checkbox-60\" type=\"checkbox\">\n <label for=\"toctree-checkbox-60\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" 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</li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" name=\"toctree-checkbox-66\" type=\"checkbox\">\n <label for=\"toctree-checkbox-66\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/tutorials/tutorial-tensorboard-scalars-mnist.html\">\n Track Training Progress in TensorBoard using PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/getting-started-tensorboard-neuronx-plugin.html\">\n TensorBoard Plugin for Neuron (Trn1)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" 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has-children\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/index.html\">\n NeuronPerf (Beta)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-68\" name=\"toctree-checkbox-68\" type=\"checkbox\">\n <label for=\"toctree-checkbox-68\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_overview.html\">\n Overview\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_terminology.html\">\n Terminology\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" 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</label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" 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Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n 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class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" 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class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li 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<i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/training/ec2/ec2-training.html\">\n Train your model on EC2\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/eks-flows.html\">\n Amazon EKS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-85\" name=\"toctree-checkbox-85\" type=\"checkbox\">\n <label for=\"toctree-checkbox-85\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/inference/eks-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-86\" name=\"toctree-checkbox-86\" type=\"checkbox\">\n <label for=\"toctree-checkbox-86\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/training/eks-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/ecs-flows.html\">\n AWS ECS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-87\" name=\"toctree-checkbox-87\" type=\"checkbox\">\n <label for=\"toctree-checkbox-87\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/inference/ecs-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-88\" name=\"toctree-checkbox-88\" type=\"checkbox\">\n <label for=\"toctree-checkbox-88\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/training/ecs-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/sagemaker-flows.html\">\n Sagemaker\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-89\" name=\"toctree-checkbox-89\" type=\"checkbox\">\n <label for=\"toctree-checkbox-89\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/inference/sagemaker-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-90\" name=\"toctree-checkbox-90\" type=\"checkbox\">\n <label for=\"toctree-checkbox-90\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/byoc-hosting-devflow-inf2.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf2 or trn1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/byoc-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/neo-then-hosting-devflow.html\">\n Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/training/sagemaker-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-91\" name=\"toctree-checkbox-91\" type=\"checkbox\">\n <label for=\"toctree-checkbox-91\">\n <i class=\"fas 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class=\"reference internal\" href=\"devflows/training/parallelcluster-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-93\" name=\"toctree-checkbox-93\" type=\"checkbox\">\n <label for=\"toctree-checkbox-93\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/training/parallelcluster/parallelcluster-training.html\">\n Train your model on ParallelCluster\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/aws-batch-flows.html\">\n AWS Batch Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-94\" name=\"toctree-checkbox-94\" type=\"checkbox\">\n <label for=\"toctree-checkbox-94\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/inference/aws-batch-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/training/aws-batch-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Learning Neuron\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"arch/index.html\">\n Architecture\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-95\" name=\"toctree-checkbox-95\" type=\"checkbox\">\n <label for=\"toctree-checkbox-95\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/inf1-arch.html\">\n AWS Inf1 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/trn1-arch.html\">\n AWS Trn1/Trn1n Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/inf2-arch.html\">\n AWS Inf2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/inferentia.html\">\n Inferentia Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/inferentia2.html\">\n Inferentia2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/trainium.html\">\n Trainium Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/neuroncores-arch.html\">\n AWS NeuronCore Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/model-architecture-fit.html\">\n Neuron Model Architecture Fit Guidelines\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/glossary.html\">\n Neuron Glossary\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"arch/neuron-features/index.html\">\n Features\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-96\" name=\"toctree-checkbox-96\" type=\"checkbox\">\n <label for=\"toctree-checkbox-96\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/data-types.html\">\n Data Types\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/rounding-modes.html\">\n Rounding Modes\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuroncore-batching.html\">\n Neuron Batching\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuroncore-pipeline.html\">\n NeuronCore Pipeline\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/collective-communication.html\">\n Collective Communication\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/control-flow.html\">\n Neuron Control Flow\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/custom-c%2B%2B-operators.html\">\n Neuron Custom C++ Operators\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/dynamic-shapes.html\">\n Neuron Dynamic Shapes\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"appnotes/index.html\">\n Application Notes\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-97\" name=\"toctree-checkbox-97\" type=\"checkbox\">\n <label for=\"toctree-checkbox-97\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"announcements/neuron2.x/neuron2-intro.html\">\n Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"appnotes/neuron1x/introducing-libnrt.html\">\n Introducing Neuron Runtime 2.x (libnrt.so)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"appnotes/perf/neuron-cc/performance-tuning.html\">\n Performance Tuning\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"appnotes/perf/neuron-cc/parallel-ncgs.html\">\n Parallel Execution using NEURON_RT_NUM_CORES\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/rcnn-app-note.html\">\n Running R-CNNs on Inf1\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">\n Generative LLM inference with Neuron\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n About Neuron\n </span>\n</p>\n<ul class=\"current nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../release-notes/release.html\">\n Release Details\n </a>\n </li>\n <li class=\"toctree-l1 current active has-children\">\n <a class=\"current reference internal\" href=\"#\">\n Roadmap\n </a>\n <input checked=\"\" class=\"toctree-checkbox\" id=\"toctree-checkbox-98\" name=\"toctree-checkbox-98\" type=\"checkbox\">\n <label for=\"toctree-checkbox-98\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference external\" href=\"https://github.com/orgs/aws-neuron/projects/1/views/1\">\n Neuron Public Roadmap\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"support.html\">\n Support\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-99\" name=\"toctree-checkbox-99\" type=\"checkbox\">\n <label for=\"toctree-checkbox-99\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"sdk-policy.html\">\n SDK Maintenance Policy\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"security.html\">\n Security Disclosures\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"contact.html\">\n Contact Us\n </a>\n </li>\n </ul>\n </li>\n</ul>\n\n </div>\n</nav></div>\n <div class=\"bd-sidebar__bottom\">\n <!-- To handle the deprecated key -->\n \n <div class=\"navbar_extra_footer\">\n Theme by the <a href=\"https://ebp.jupyterbook.org\">Executable Book Project</a>\n </div>\n \n </div>\n </div>\n <div id=\"rtd-footer-container\"></div>\n</div>\n\n\n \n\n\n \n<!-- A tiny helper pixel to detect if we've scrolled -->\n<div class=\"sbt-scroll-pixel-helper\"></div>\n<!-- Main content -->\n<div class=\"col py-0 content-container\">\n \n <div class=\"header-article row sticky-top noprint\">\n \n\n\n\n<div class=\"col py-1 d-flex header-article-main\">\n <div class=\"header-article__left\">\n \n <label for=\"__navigation\" class=\"headerbtn\" data-toggle=\"tooltip\" data-placement=\"right\" title=\"\" data-original-title=\"Toggle navigation\">\n \n\n<span class=\"headerbtn__icon-container\">\n <i class=\"fas fa-bars\"></i>\n 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href=\"https://github.com/aws-neuron/aws-neuron-sdk/issues/new?title=Issue%20on%20page%20%2Fgeneral/roadmap-readme.html&body=Your%20issue%20content%20here.\" class=\"headerbtn\" data-toggle=\"tooltip\" data-placement=\"left\" title=\"\" data-original-title=\"Open an issue\">\n \n\n<span class=\"headerbtn__icon-container\">\n <i class=\"fas fa-lightbulb\"></i>\n </span>\n<span class=\"headerbtn__text-container\">open issue</span>\n</a>\n\n </li>\n \n <li>\n <a href=\"https://github.com/aws-neuron/aws-neuron-sdk/edit/v2.14.1/general/roadmap-readme.rst\" class=\"headerbtn\" data-toggle=\"tooltip\" data-placement=\"left\" title=\"\" data-original-title=\"Edit this page\">\n \n\n<span class=\"headerbtn__icon-container\">\n <i class=\"fas fa-pencil-alt\"></i>\n </span>\n<span class=\"headerbtn__text-container\">suggest edit</span>\n</a>\n\n </li>\n \n </ul>\n </div>\n</div>\n\n<div class=\"menu-dropdown menu-dropdown-download-buttons\">\n <button class=\"headerbtn menu-dropdown__trigger\" 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class=\"col pl-md-3 pl-lg-5 content-container\">\n <!-- Table of contents that is only displayed when printing the page -->\n <div id=\"jb-print-docs-body\" class=\"onlyprint\">\n <h1>Roadmap</h1>\n <!-- Table of contents -->\n <div id=\"print-main-content\">\n <div id=\"jb-print-toc\">\n \n </div>\n </div>\n </div>\n <main id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n<div class=\"section\" id=\"roadmap\">\n<span id=\"neuron-roadmap\"></span><h1>Roadmap<a class=\"headerlink\" href=\"#roadmap\" title=\"Permalink to this headline\">#</a></h1>\n<p>The AWS Neuron feature roadmap provides visibility onto what we are\nworking on in terms of functional and performance in the near future. We\nhope this will help you better plan how to use Neuron with your\nproducts. We’d love to get our customers feedback as well, to help us\nensure we are working on the most important requests.</p>\n<div class=\"toctree-wrapper compound\">\n<ul>\n<li class=\"toctree-l1\"><a class=\"reference external\" href=\"https://github.com/orgs/aws-neuron/projects/1/views/1\">Neuron Public Roadmap</a></li>\n</ul>\n</div>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n</div>\n\n<div class=\"section\">\n \n</div>\n\n </div>\n \n </main>\n <footer class=\"footer-article noprint\">\n \n <!-- Previous / next buttons -->\n<div class=\"prev-next-area\">\n <a class=\"left-prev\" id=\"prev-link\" href=\"../release-notes/release.html\" title=\"previous page\">\n <i class=\"fas fa-angle-left\"></i>\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">previous</p>\n <p class=\"prev-next-title\">Release Details</p>\n </div>\n </a>\n <a class=\"right-next\" id=\"next-link\" href=\"support.html\" title=\"next page\">\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">next</p>\n <p class=\"prev-next-title\">Support</p>\n </div>\n <i class=\"fas fa-angle-right\"></i>\n </a>\n</div>\n </footer>\n </div>\n </div>\n <div class=\"footer-content row\">\n <footer class=\"col footer\"><p>\n \n By AWS<br>\n \n © Copyright 2023, Amazon.com.<br>\n</p>\n </footer>\n </div>\n \n</div>\n\n\n </div>\n </div>\n \n <!-- Scripts loaded after <body> so the DOM is not blocked -->\n <script src=\"../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf\"></script>\n\n\n \n</body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:24.372Z"}}},{"rowIdx":291,"cells":{"title":{"kind":"string","value":""},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/_sources/general/benchmarks/index.rst.txt"},"markdown":{"kind":"string","value":"```\n.. _benchmark:\n\nNeuron Performance\n==================\nThe Neuron Performance pages provide a reference to the expected performance of various open-source models for popular deep learning in Natural Language Processing (NLP), Computer Vision (CV) and Recommender model tasks. We have included with each model links to allow you to setup and reconstruct the test with a few steps.\n\n.. card:: Inf1 Performance Numbers\n :link: appnote-performance-benchmark\n :link-type: ref\n\n.. card:: Inf2 Performance Numbers\n :link: inf2-performance\n :link-type: ref\n\n.. card:: Trn1/Trn1n Performance Numbers \n :link: trn1-performance\n :link-type: ref\n\n\n\n\n```"},"html":{"kind":"string","value":"<html><head><meta name=\"color-scheme\" content=\"light dark\"></head><body><pre style=\"word-wrap: break-word; white-space: pre-wrap;\">.. _benchmark:\n\nNeuron Performance\n==================\nThe Neuron Performance pages provide a reference to the expected performance of various open-source models for popular deep learning in Natural Language Processing (NLP), Computer Vision (CV) and Recommender model tasks. We have included with each model links to allow you to setup and reconstruct the test with a few steps.\n\n.. card:: Inf1 Performance Numbers\n :link: appnote-performance-benchmark\n :link-type: ref\n\n.. card:: Inf2 Performance Numbers\n :link: inf2-performance\n :link-type: ref\n\n.. card:: Trn1/Trn1n Performance Numbers \n :link: trn1-performance\n :link-type: ref\n\n\n\n</pre></body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:24.430Z"}}},{"rowIdx":292,"cells":{"title":{"kind":"string","value":"SDK Maintenance Policy — AWS Neuron Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/sdk-policy.html"},"markdown":{"kind":"string","value":"# SDK Maintenance Policy — AWS Neuron Documentation\n\n_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`\n\n## SDK Maintenance Policy[#](#neuron-maintenance-policy \"Permalink to this headline\")\n\nTable of Contents\n\n- [Overview](#overview)\n \n- [Neuron SDK](#neuron-sdk)\n \n- [Dependency Software](#dependency-software)\n \n- [Neuron SDK version life-cycle](#neuron-sdk-version-life-cycle)\n \n- [Dependency Software version life-cycle](#dependency-software-version-life-cycle)\n \n- [Communication](#communication)\n \n- [Licenses](#licenses)\n \n\n## [Overview](#id2)[#](#overview \"Permalink to this headline\")\n\nThis document outlines the maintenance policy for AWS Neuron Software Development Kit (SDK) and its underlying dependencies. AWS regularly provides the Neuron SDK with updates that may contain support for new or updated APIs, new features, enhancements, bug fixes, security patches, or documentation updates. Updates may also address changes with dependencies, language runtimes, and operating systems. Neuron SDK releases are available as Conda ( up to [Neuron 1.13.0](announcements/neuron1.x/announcements.html#eol-conda-packages) ) and Pip Packages that can be installed within Amazon Machine Images (AMIs).\n\nWe recommend users to stay up-to-date with SDK releases to keep up with the latest features, security updates, and underlying dependencies. Continued use of an unsupported SDK version is not recommended and is done at the user’s discretion.\n\n## [Neuron SDK](#id3)[#](#neuron-sdk \"Permalink to this headline\")\n\nAWS Neuron is the SDK for [AWS Inferentia](https://aws.amazon.com/machine-learning/inferentia/), the custom designed machine learning chips enabling high-performance deep learning inference applications on [EC2 Inf1 instances](https://aws.amazon.com/ec2/instance-types/inf1/). Neuron includes a deep learning compiler, runtime and tools that are natively integrated into TensorFlow, PyTorch and MXNet. With Neuron, you can develop, profile, and deploy high-performance inference applications on top of [EC2 Inf1 instances](https://aws.amazon.com/ec2/instance-types/inf1/).\n\nThe Neuron SDK release versions are in the form of X.Y.Z where X represents the major version and Y represent the minor version. Increasing the major version of an SDK indicates that this SDK underwent significant and substantial changes, and some of those changes may not maintain the same programming model. Increasing the minor version of an SDK indicates that this SDK underwent addition of new features, support of new dependency software versions, end-of-support of certain dependency software, enhacement and/or bugfixes. Applications may need to be updated in order for them to work with the newest SDK version. It is important to update major versions carefully and in accordance with the upgrade guidelines provided by AWS.\n\n## [Dependency Software](#id4)[#](#dependency-software \"Permalink to this headline\")\n\nNeuron SDK has underlying dependencies, such as language runtimes, operating systems, or third party libraries and machine learning frameworks. These dependencies are typically tied to the language community or the vendor who owns that particular component. The following terms are used to classify underlying dependencies:\n\n- Operating system (OS): Examples include Amazon Linux AMI, Amazon Linux 2.\n \n- Language runtime: Examples include Python.\n \n- Third party library / framework: Examples include PyTorch, TensorFlow, MXNet and ONNX.\n \n\nEach community or vendor maintains their own versioning policy and publishes their own end-of-support schedule for their product.\n\n## [Neuron SDK version life-cycle](#id5)[#](#neuron-sdk-version-life-cycle \"Permalink to this headline\")\n\nThe life-cycle for Neuron SDK version consists of 3 phases, which are outlined below.\n\n- **Supported (Phase 1)**\n \n During this phase, AWS will provide critical bugfixes and security patches. Usually AWS will support each Neuron SDK version for at least 12 months, but AWS reserves the right to stop supporting an SDK version before the 12 months period.\n \n Note\n \n AWS will address new features or Dependency Software updates by publishing a new version with an increment in the Neuron SDK minor version.\n \n- **End-of-Support Announcement (Phase 2)**\n \n AWS will announce the End-of-Support phase at least 3 months before a specific Neuron SDK version enters End-of-Support phase. During this period, the SDK will continue to be supported.\n \n- **End-of-Support (Phase 3)**\n \n When a Neuron SDK version reaches end-of support, it will no longer receive critical bugfixes and security patches. Previously published Neuron SDK versions will continue to be available via Conda ( up to [Neuron 1.13.0](announcements/neuron1.x/announcements.html#eol-conda-packages) ) or Pip packages. Use of an SDK version which has reached end-of-support is done at the user’s discretion. We recommend users to upgrade to the latest Neuron SDK version.\n \n\n## [Dependency Software version life-cycle](#id6)[#](#dependency-software-version-life-cycle \"Permalink to this headline\")\n\nThe life-cycle for Dependency Software version consists of 4 phases, but there may not be a Phase 3 (Maintenance) period in some cases. The phases are outlined below.\n\n- **Supported (Phase 1)**\n \n During this phase, Dependency Software version is supported. AWS will provide regular updates, bug fixes and/or security patches to the Dependency Software version, AWS will address those updates and bug fixes by including them in a new Neuron SDK version with an increment in the Neuron SDK minor version. There is no minimum support period for a Dependency Software version.\n \n- **Maintenance and/or End-of-Support Announcement (Phase 2)**\n \n AWS will announce the Maintenance phase or the End-of-Support phase of Dependency Software version.\n \n Since each community or vendor maintains their own versioning policy and publishes their own end-of-support schedule for their product, there is no minimum duration to do the announcement before Dependency Software version enters Maintenance phase or End-of-Support phase and in some cases the announcement can happen at the same time when the Dependency Software version enters Maintenance phase or End-of-Support phase.\n \n During this period, the Dependency Software version will continue to be supported.\n \n- **Maintenance (Phase 3)**\n \n During the maintenance phase, AWS limits Dependency Software version to address critical bug fixes and security issues only. There is no minimum Maintenance period.\n \n This phase is optional and AWS will reserve the right to skip it for specific Dependency Software products.\n \n- **End-of-Support (Phase 4)**\n \n When a Dependency Software version reaches end-of support, it will no longer receive updates or releases. Previously published releases will continue to be available via Conda ( up to [Neuron 1.13.0](announcements/neuron1.x/announcements.html#eol-conda-packages) ) or Pip packages. Use of an SDK which has reached end-of-support is done at the user’s discretion. We recommend users to upgrade to the new major version.\n \n When a Dependency Software version reaches end-of support, it will no longer receive critical bugfixes and security patches. Previously published Dependency Software versions will continue to be available via Neuron SDK Conda ( up to [Neuron 1.13.0](announcements/neuron1.x/announcements.html#eol-conda-packages) ) or Pip packages.\n \n Use of a Dependency Software version which has reached end-of-support is done at the user’s discretion. We recommend users to upgrade to the latest Neuron SDK version that include the latest Dependency Software versions.\n \n\nNote\n\nAWS reserves the right to stop support for an underlying dependency without a maintenance phase.\n\n## [Communication](#id7)[#](#communication \"Permalink to this headline\")\n\nMaintenance and End-Of-Support announcements are communicated as follows:\n\n- Neuron SDK documentation.\n \n\nTo see the list of available Neuron SDK versions and supported Dependency Software versions see [Release Content](../release-notes/releasecontent.html#neuron-release-content) and [What’s New](../release-notes/index.html#neuron-whatsnew) in latest Neuron version.\n\n## [Licenses](#id8)[#](#licenses \"Permalink to this headline\")\n\nThe license files for the Neuron SDK packages are located in the installation directories.\n\nFor RPM/YUM packages, first follow Neuron SDK setup instructions to install RPM/YUM packages, then do:\n\n```\n# The following command assumes you have already installed RPM/YUM packages per Neuron SDK setup instructions\nif [ $USER == \"ubuntu\" ]; then sudo dpkg -L $(sudo dpkg-query -f '${binary:Package}\\n' -W | grep neuron) | grep -i license; else rpm -ql $(rpm -qa | grep neuron) | grep -i license; fi\n\n```\n\nExample output:\n\n```\n/usr/share/doc/aws-neuronx-tools/LICENSE.txt\n/usr/share/doc/aws-neuronx-tools/THIRD-PARTY-LICENSES.txt\n/usr/share/doc/aws-neuronx-oci-hook/LICENSE.txt\n/usr/share/doc/aws-neuronx-oci-hook/THIRD-PARTY-LICENSES.txt\n/usr/share/doc/aws-neuronx-collectives/LICENSE.txt\n/usr/share/doc/aws-neuronx-runtime-lib/LICENSE.txt\n/usr/src/aws-neuronx-2.7.33.0/LICENSE\n\n```\n\nFor the Python packages, you can see the locations of licenses in the site-packages directory of the Python environment using the following commands:\n\n```\n# The following installation instructions are only for license check, not development or deployment.\n# See Neuron SDK setup instruction for proper development or deployment setups.\npython -m venv check_license_venv\nsource check_license_venv/bin/activate\npip install -U pip\npython -m pip config set global.extra-index-url \"https://pip.repos.neuron.amazonaws.com\"\npython -m pip install neuron-cc neuronx-cc torch-neuron torch-neuronx tensorflow-neuron tensorflow-neuronx tensorboard-plugin-neuron tensorboard-plugin-neuronx mx_neuron\nls $VIRTUAL_ENV/lib/python*/site-packages/{libneuronxla,torch_xla,torch_neuron,tensorflow_neuron,tensorboard_plugin_neuron,mx_neuron,neuron}*/*LICENSE*\n\n```\n\nExample output:\n\n```\n/home/ec2-user/test_venv/lib/python3.7/site-packages/libneuronxla/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/libneuronxla/THIRD-PARTY-LICENSES.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/mx_neuron/THIRD-PARTY-LICENSES.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/neuron_cc-1.14.3.0+adaa2ac56.dist-info/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/neuronx_cc-2.5.0.28+1be23f232.dist-info/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/neuronx_hwm-2.5.0.0+dad732dd6.dist-info/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorboard_plugin_neuron/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorboard_plugin_neuron/THIRD-PARTY-LICENSES.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorboard_plugin_neuronx/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorboard_plugin_neuronx/THIRD-PARTY-LICENSES.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorflow_neuron/LICENSE\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorflow_neuron/THIRD-PARTY-LICENSES.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorflow_neuronx/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/torch_neuron-1.13.1.2.6.5.0.dist-info/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/torch_neuronx/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/torch_xla-1.13.0+torchneuron5.dist-info/LICENSE\n\n```\n\nNeuron documentation, samples and tools packages on GitHub licenses are available in the respective GitHub repositories:\n\n[https://github.com/aws-neuron/aws-neuron-sdk/blob/master/LICENSE-DOCUMENTATION](https://github.com/aws-neuron/aws-neuron-sdk/blob/master/LICENSE-DOCUMENTATION)\n\n[https://github.com/aws-neuron/transformers-neuronx/blob/master/LICENSE](https://github.com/aws-neuron/transformers-neuronx/blob/master/LICENSE)\n\n[https://github.com/aws-neuron/aws-neuron-samples/blob/master/LICENSE](https://github.com/aws-neuron/aws-neuron-samples/blob/master/LICENSE)\n\n[https://github.com/aws-neuron/aws-neuron-sdk/blob/master/src/neuronperf/LICENSE](https://github.com/aws-neuron/aws-neuron-sdk/blob/master/src/neuronperf/LICENSE)\n\n[https://github.com/aws-neuron/aws-neuron-reference-for-megatron-lm/blob/master/LICENSE](https://github.com/aws-neuron/aws-neuron-reference-for-megatron-lm/blob/master/LICENSE)\n\n[https://github.com/aws-neuron/aws-neuron-parallelcluster-samples/blob/master/LICENSE](https://github.com/aws-neuron/aws-neuron-parallelcluster-samples/blob/master/LICENSE)\n\n[https://github.com/aws-neuron/aws-neuron-tensorflow/blob/master/LICENSE](https://github.com/aws-neuron/aws-neuron-tensorflow/blob/master/LICENSE)\n\n[https://github.com/aws-neuron/aws-neuron-tensorflow/blob/master/THIRD-PARTY-LICENSES.txt](https://github.com/aws-neuron/aws-neuron-tensorflow/blob/master/THIRD-PARTY-LICENSES.txt)\n\n[https://github.com/aws-neuron/neuronx-nemo-megatron/blob/main/THIRD-PARTY-LICENSES](https://github.com/aws-neuron/neuronx-nemo-megatron/blob/main/THIRD-PARTY-LICENSES)\n\n_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`"},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>SDK Maintenance Policy — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link href=\"../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n\n \n <link rel=\"stylesheet\" href=\"../_static/vendor/fontawesome/5.13.0/css/all.min.css\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" href=\"../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" href=\"../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2\">\n\n <link rel=\"stylesheet\" type=\"text/css\" 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Table of Contents</div>\n</label>\n<!-- Headers at the top -->\n<div class=\"announcement header-item noprint\">Neuron 2.14.0 is released! check <a class=\"reference internal\" style=\"color:white;\" href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/latest/release-notes/index.html#latest-neuron-release\"> What's New </a> and <a class=\"reference internal\" style=\"color:white;\" href=\"https://awsdocs-neuron.readthedocs-hosted.com/en/latest/general/announcements/index.html\"> Announcements </a></div>\n<div class=\"header header-item noprint\"></div>\n\n \n <div class=\"container-fluid\" id=\"banner\"></div>\n\n \n\n <div class=\"container-xl\">\n <div class=\"row\">\n \n<!-- Sidebar -->\n<div class=\"bd-sidebar noprint\" id=\"site-navigation\">\n <div class=\"bd-sidebar__content\">\n <div class=\"bd-sidebar__top\"><div class=\"navbar-brand-box\">\n <a class=\"navbar-brand text-wrap\" href=\"../index.html\">\n \n <!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->\n \n \n \n <img src=\"../_static/Site-Merch_Neuron-ML-SDK_Editorial.png\" class=\"logo\" alt=\"logo\">\n \n \n <h1 class=\"site-logo\" id=\"site-title\">AWS Neuron Documentation</h1>\n \n </a>\n</div><form class=\"bd-search d-flex align-items-center\" action=\"../search.html\" method=\"get\">\n <i class=\"icon fas fa-search\"></i>\n <input type=\"search\" class=\"form-control\" name=\"q\" id=\"search-input\" placeholder=\"Search the docs ...\" aria-label=\"Search the docs ...\" autocomplete=\"off\">\n</form><nav class=\"bd-links\" id=\"bd-docs-nav\" aria-label=\"Main\">\n <div class=\"bd-toc-item active\">\n <p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Overview\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/docs-quicklinks.html\">\n Quick Links\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/index.html\">\n Get Started with Neuron\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/github-samples.html\">\n GitHub Samples\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"benchmarks/index.html\">\n Performance\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../release-notes/index.html\">\n What’s New\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"announcements/index.html\">\n Announcements\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Frameworks\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/index.html\">\n PyTorch Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-1\" name=\"toctree-checkbox-1\" type=\"checkbox\">\n <label for=\"toctree-checkbox-1\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-setup.html\">\n Pytorch Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuronx.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-2\" name=\"toctree-checkbox-2\" type=\"checkbox\">\n <label for=\"toctree-checkbox-2\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorials-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-3\" name=\"toctree-checkbox-3\" type=\"checkbox\">\n <label for=\"toctree-checkbox-3\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/bert-base-cased-finetuned-mrpc-inference-on-trn1-tutorial.html\">\n Compiling and Deploying HuggingFace Pretrained BERT on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorial-torchserve-neuronx.html\">\n BERT TorchServe Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorial-libtorch.html\">\n LibTorch C++ Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-4\" name=\"toctree-checkbox-4\" type=\"checkbox\">\n <label for=\"toctree-checkbox-4\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx\">\n Transformers Neuron GitHub samples\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/inference-api-guide-torch-neuronx.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-5\" name=\"toctree-checkbox-5\" type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" 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href=\"../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-26\" name=\"toctree-checkbox-26\" type=\"checkbox\">\n <label for=\"toctree-checkbox-26\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-28\" name=\"toctree-checkbox-28\" type=\"checkbox\">\n <label for=\"toctree-checkbox-28\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tracing-python-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label for=\"toctree-checkbox-31\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" 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Flexible Execution Group (FlexEG) in Neuron-MXNet\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/misc-mxnet-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-35\" name=\"toctree-checkbox-35\" type=\"checkbox\">\n <label for=\"toctree-checkbox-35\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for Neuron Apache MXNet (Incubating)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/mxnet-neuron/mxnet-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-mxnet.html\">\n Neuron Apache MXNet (Incubating) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Libraries\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/index.html\">\n Transformers Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-36\" name=\"toctree-checkbox-36\" type=\"checkbox\">\n <label for=\"toctree-checkbox-36\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/setup/index.html\">\n Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-37\" name=\"toctree-checkbox-37\" 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class=\"reference internal\" href=\"../libraries/neuronx-distributed/index.html\">\n Neuron Distributed\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-40\" name=\"toctree-checkbox-40\" type=\"checkbox\">\n <label for=\"toctree-checkbox-40\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/setup/index.html\">\n Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/app_notes.html\">\n App Notes\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-41\" name=\"toctree-checkbox-41\" type=\"checkbox\">\n <label for=\"toctree-checkbox-41\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tensor_parallelism_overview.html\">\n Tensor Parallelism Overview\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-42\" name=\"toctree-checkbox-42\" type=\"checkbox\">\n <label for=\"toctree-checkbox-42\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/api_guide.html\">\n API Reference Guide (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-43\" name=\"toctree-checkbox-43\" type=\"checkbox\">\n <label 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class=\"reference internal\" href=\"../libraries/neuronx-distributed/tutorials/training-gpt-neox.html\">\n Training GPT-NeoX 6.9B using TP and ZeRO-1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tutorials/training-gpt-neox-20b.html\">\n Training GPT-NeoX 20B using TP and ZeRO-1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/neuronx_distributed/t5-inference/t5-inference-tutorial.html\">\n T5 inference with Tensor Parallelism\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tutorials/inference.html\">\n Inference using Tensor Parallelism\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/neuronx-distributed-misc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-45\" 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href=\"../release-notes/runtime/aws-neuronx-runtime-lib/index.html\">\n Neuron Runtime Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/runtime/aws-neuronx-dkms/index.html\">\n Neuron Driver Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/runtime/aws-neuronx-collectives/index.html\">\n Neuron Collectives Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../compiler/index.html\">\n Neuron Compiler\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-50\" name=\"toctree-checkbox-50\" type=\"checkbox\">\n <label for=\"toctree-checkbox-50\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../compiler/neuronx-cc.html\">\n Neuron Compiler for Trn1 & Inf2\n </a>\n 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class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuronx-cc/index.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../compiler/neuron-cc.html\">\n Neuron Compiler for Inf1\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-55\" name=\"toctree-checkbox-55\" type=\"checkbox\">\n <label for=\"toctree-checkbox-55\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../compiler/neuron-cc/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-56\" name=\"toctree-checkbox-56\" type=\"checkbox\">\n <label for=\"toctree-checkbox-56\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" 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href=\"../compiler/neuron-cc/misc-neuron-cc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-58\" name=\"toctree-checkbox-58\" type=\"checkbox\">\n <label for=\"toctree-checkbox-58\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../compiler/neuron-cc/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html\">\n Neuron Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/index.html\">\n Neuron C++ Custom Operators\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-59\" 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href=\"../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/misc-customops.html\">\n Misc (Neuron Custom C++ Operators)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-63\" name=\"toctree-checkbox-63\" type=\"checkbox\">\n <label for=\"toctree-checkbox-63\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/customcxxps/gpsimd-tools.html\">\n Neuron Custom C++ Tools Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/customcxxps/gpsimd-customop-lib.html\">\n Neuron Custom C++ Library Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../tools/index.html\">\n Neuron Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-64\" name=\"toctree-checkbox-64\" type=\"checkbox\">\n <label for=\"toctree-checkbox-64\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/index.html\">\n System Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-65\" name=\"toctree-checkbox-65\" type=\"checkbox\">\n <label for=\"toctree-checkbox-65\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/neuron-monitor-user-guide.html\">\n Neuron-Monitor User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/neuron-top-user-guide.html\">\n Neuron-Top User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/neuron-ls.html\">\n Neuron-LS User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/neuron-profile-user-guide.html\">\n Neuron Profile User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/neuron-sysfs-user-guide.html\">\n Neuron-Sysfs User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuron-sys-tools/nccom-test.html\">\n NCCOM-TEST User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" 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class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_overview.html\">\n Overview\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_terminology.html\">\n Terminology\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_evaluate_guide.html\">\n Evaluate Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_compile_guide.html\">\n Compile Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_model_index_guide.html\">\n Model Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/rn.html\">\n What’s New\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-69\" name=\"toctree-checkbox-69\" type=\"checkbox\">\n <label for=\"toctree-checkbox-69\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tools/neuronperf.html\">\n NeuronPerf 1.x Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"calculator/neuron-calculator.html\">\n Neuron Calculator\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"setup/index.html\">\n Setup Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-70\" name=\"toctree-checkbox-70\" type=\"checkbox\">\n <label for=\"toctree-checkbox-70\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" name=\"toctree-checkbox-71\" type=\"checkbox\">\n <label for=\"toctree-checkbox-71\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-72\" name=\"toctree-checkbox-72\" type=\"checkbox\">\n <label for=\"toctree-checkbox-72\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/index.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-73\" name=\"toctree-checkbox-73\" type=\"checkbox\">\n <label for=\"toctree-checkbox-73\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/tutorial-infer.html\">\n Run inference in pytorch neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/k8s_rn50_demo.html\">\n Deploy a TensorFlow Resnet50 model as a Kubernetes service\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label for=\"toctree-checkbox-74\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/tutorial-training.html\">\n Run training in Pytorch Neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/k8s_mlp_train_demo.html\">\n Deploy a simple mlp training script as a Kubernetes job\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-75\" name=\"toctree-checkbox-75\" type=\"checkbox\">\n <label for=\"toctree-checkbox-75\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n 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(EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" 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Communication\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/control-flow.html\">\n Neuron Control Flow\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/custom-c%2B%2B-operators.html\">\n Neuron Custom C++ Operators\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/dynamic-shapes.html\">\n Neuron Dynamic Shapes\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"appnotes/index.html\">\n Application Notes\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-97\" name=\"toctree-checkbox-97\" type=\"checkbox\">\n <label for=\"toctree-checkbox-97\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"announcements/neuron2.x/neuron2-intro.html\">\n Introducing first release of 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class=\"headerbtn__icon-container\">\n <i class=\"fas fa-file\"></i>\n </span>\n<span class=\"headerbtn__text-container\">.rst</span>\n</a>\n\n </li>\n \n <li>\n \n<button onclick=\"printPdf(this)\" class=\"headerbtn\" data-toggle=\"tooltip\" data-placement=\"left\" title=\"\" data-original-title=\"Print to PDF\">\n \n\n<span class=\"headerbtn__icon-container\">\n <i class=\"fas fa-file-pdf\"></i>\n </span>\n<span class=\"headerbtn__text-container\">.pdf</span>\n</button>\n\n </li>\n \n </ul>\n </div>\n</div>\n<label for=\"__page-toc\" class=\"headerbtn headerbtn-page-toc\">\n \n\n<span class=\"headerbtn__icon-container\">\n <i class=\"fas fa-list\"></i>\n </span>\n\n</label>\n\n </div>\n</div>\n\n<!-- Table of contents -->\n<div class=\"col-md-3 bd-toc show noprint\">\n <div class=\"tocsection onthispage pt-5 pb-3\">\n <i class=\"fas fa-list\"></i> Contents\n </div>\n <nav id=\"bd-toc-nav\" aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#overview\">\n Overview\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-sdk\">\n Neuron SDK\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#dependency-software\">\n Dependency Software\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-sdk-version-life-cycle\">\n Neuron SDK version life-cycle\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#dependency-software-version-life-cycle\">\n Dependency Software version life-cycle\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#communication\">\n Communication\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#licenses\">\n Licenses\n </a>\n </li>\n</ul>\n\n </nav>\n</div>\n </div>\n <div class=\"article row\">\n <div class=\"col pl-md-3 pl-lg-5 content-container\">\n <!-- Table of contents that is only displayed when printing the page -->\n <div id=\"jb-print-docs-body\" class=\"onlyprint\">\n <h1>SDK Maintenance Policy</h1>\n <!-- Table of contents -->\n <div id=\"print-main-content\">\n <div id=\"jb-print-toc\">\n \n <div>\n <h2> Contents </h2>\n </div>\n <nav aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#overview\">\n Overview\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-sdk\">\n Neuron SDK\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#dependency-software\">\n Dependency Software\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#neuron-sdk-version-life-cycle\">\n Neuron SDK version life-cycle\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#dependency-software-version-life-cycle\">\n Dependency Software version life-cycle\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#communication\">\n Communication\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#licenses\">\n Licenses\n </a>\n </li>\n</ul>\n\n </nav>\n </div>\n </div>\n </div>\n <main id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n<div class=\"section\" id=\"neuron-maintenance-policy\">\n<span id=\"sdk-maintenance-policy\"></span><span id=\"id1\"></span><h1>SDK Maintenance Policy<a class=\"headerlink\" href=\"#neuron-maintenance-policy\" title=\"Permalink to this headline\">#</a></h1>\n<div class=\"contents local topic\" id=\"table-of-contents\">\n<p class=\"topic-title\">Table of Contents</p>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"#overview\" id=\"id2\">Overview</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#neuron-sdk\" id=\"id3\">Neuron SDK</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#dependency-software\" id=\"id4\">Dependency Software</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#neuron-sdk-version-life-cycle\" id=\"id5\">Neuron SDK version life-cycle</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#dependency-software-version-life-cycle\" id=\"id6\">Dependency Software version life-cycle</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#communication\" id=\"id7\">Communication</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#licenses\" id=\"id8\">Licenses</a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"overview\">\n<h2><a class=\"toc-backref\" href=\"#id2\">Overview</a><a class=\"headerlink\" href=\"#overview\" title=\"Permalink to this headline\">#</a></h2>\n<p>This document outlines the maintenance policy for AWS Neuron Software Development Kit (SDK) and its underlying dependencies. AWS regularly provides the Neuron SDK with updates that may contain support for new or updated APIs, new features, enhancements, bug fixes, security patches, or documentation updates. Updates may also address changes with dependencies, language runtimes, and operating systems. Neuron SDK releases are available as Conda ( up to <a class=\"reference internal\" href=\"announcements/neuron1.x/announcements.html#eol-conda-packages\"><span class=\"std std-ref\">Neuron 1.13.0</span></a> ) and Pip Packages that can be installed within Amazon Machine Images (AMIs).</p>\n<p>We recommend users to stay up-to-date with SDK releases to keep up with the latest features, security updates, and underlying dependencies. Continued use of an unsupported SDK version is not recommended and is done at the user’s discretion.</p>\n</div>\n<div class=\"section\" id=\"neuron-sdk\">\n<h2><a class=\"toc-backref\" href=\"#id3\">Neuron SDK</a><a class=\"headerlink\" href=\"#neuron-sdk\" title=\"Permalink to this headline\">#</a></h2>\n<p>AWS Neuron is the SDK for <a class=\"reference external\" href=\"https://aws.amazon.com/machine-learning/inferentia/\">AWS Inferentia</a>, the custom designed machine learning chips enabling high-performance deep learning inference applications on <a class=\"reference external\" href=\"https://aws.amazon.com/ec2/instance-types/inf1/\">EC2 Inf1 instances</a>. Neuron includes a deep learning compiler, runtime and tools that are natively integrated into TensorFlow, PyTorch and MXNet. With Neuron, you can develop, profile, and deploy high-performance inference applications on top of <a class=\"reference external\" href=\"https://aws.amazon.com/ec2/instance-types/inf1/\">EC2 Inf1 instances</a>.</p>\n<p>The Neuron SDK release versions are in the form of X.Y.Z where X represents the major version and Y represent the minor version. Increasing the major version of an SDK indicates that this SDK underwent significant and substantial changes, and some of those changes may not maintain the same programming model.\nIncreasing the minor version of an SDK indicates that this SDK underwent addition of new features, support of new dependency software versions, end-of-support of certain dependency software, enhacement and/or bugfixes.\nApplications may need to be updated in order for them to work with the newest SDK version. It is important to update major versions carefully and in accordance with the upgrade guidelines provided by AWS.</p>\n</div>\n<div class=\"section\" id=\"dependency-software\">\n<h2><a class=\"toc-backref\" href=\"#id4\">Dependency Software</a><a class=\"headerlink\" href=\"#dependency-software\" title=\"Permalink to this headline\">#</a></h2>\n<p>Neuron SDK has underlying dependencies, such as language runtimes, operating systems, or third party libraries and machine learning frameworks. These dependencies are typically tied to the language community or the vendor who owns that particular component. The following terms are used to classify underlying dependencies:</p>\n<ul class=\"simple\">\n<li><p>Operating system (OS): Examples include Amazon Linux AMI, Amazon Linux 2.</p></li>\n<li><p>Language runtime: Examples include Python.</p></li>\n<li><p>Third party library / framework: Examples include PyTorch, TensorFlow, MXNet and ONNX.</p></li>\n</ul>\n<p>Each community or vendor maintains their own versioning policy and publishes their own end-of-support schedule for their product.</p>\n</div>\n<div class=\"section\" id=\"neuron-sdk-version-life-cycle\">\n<h2><a class=\"toc-backref\" href=\"#id5\">Neuron SDK version life-cycle</a><a class=\"headerlink\" href=\"#neuron-sdk-version-life-cycle\" title=\"Permalink to this headline\">#</a></h2>\n<p>The life-cycle for Neuron SDK version consists of 3 phases, which are outlined below.</p>\n<ul>\n<li><p><strong>Supported (Phase 1)</strong></p>\n<p>During this phase, AWS will provide critical bugfixes and security patches. Usually AWS will support each Neuron SDK version for at least 12 months, but AWS reserves the right to stop supporting an SDK version before the 12 months period.</p>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p>AWS will address new features or Dependency Software updates by publishing a new version with an increment in the Neuron SDK minor version.</p>\n</div>\n</li>\n<li><p><strong>End-of-Support Announcement (Phase 2)</strong></p>\n<p>AWS will announce the End-of-Support phase at least 3 months before a specific Neuron SDK version enters End-of-Support phase. During this period, the SDK will continue to be supported.</p>\n</li>\n<li><p><strong>End-of-Support (Phase 3)</strong></p>\n<p>When a Neuron SDK version reaches end-of support, it will no longer receive critical bugfixes and security patches. Previously published Neuron SDK versions will continue to be available via Conda ( up to <a class=\"reference internal\" href=\"announcements/neuron1.x/announcements.html#eol-conda-packages\"><span class=\"std std-ref\">Neuron 1.13.0</span></a> ) or Pip packages.\nUse of an SDK version which has reached end-of-support is done at the user’s discretion. We recommend users to upgrade to the latest Neuron SDK version.</p>\n</li>\n</ul>\n</div>\n<div class=\"section\" id=\"dependency-software-version-life-cycle\">\n<h2><a class=\"toc-backref\" href=\"#id6\">Dependency Software version life-cycle</a><a class=\"headerlink\" href=\"#dependency-software-version-life-cycle\" title=\"Permalink to this headline\">#</a></h2>\n<p>The life-cycle for Dependency Software version consists of 4 phases, but there may not be a Phase 3 (Maintenance) period in some cases. The phases are outlined below.</p>\n<ul>\n<li><p><strong>Supported (Phase 1)</strong></p>\n<p>During this phase, Dependency Software version is supported. AWS will provide regular updates, bug fixes and/or security patches to the Dependency Software version, AWS will address those updates and bug fixes by including them in a new Neuron SDK version with an increment in the Neuron SDK minor version. There is no minimum support period for a Dependency Software version.</p>\n</li>\n<li><p><strong>Maintenance and/or End-of-Support Announcement (Phase 2)</strong></p>\n<p>AWS will announce the Maintenance phase or the End-of-Support phase of Dependency Software version.</p>\n<p>Since each community or vendor maintains their own versioning policy and publishes their own end-of-support schedule for their product, there is no minimum duration to do the announcement before Dependency Software version enters Maintenance phase or End-of-Support phase and in some cases the announcement can happen at the same time when the Dependency Software version enters Maintenance phase or End-of-Support phase.</p>\n<p>During this period, the Dependency Software version will continue to be supported.</p>\n</li>\n<li><p><strong>Maintenance (Phase 3)</strong></p>\n<p>During the maintenance phase, AWS limits Dependency Software version to address critical bug fixes and security issues only. There is no minimum Maintenance period.</p>\n<p>This phase is optional and AWS will reserve the right to skip it for specific Dependency Software products.</p>\n</li>\n<li><p><strong>End-of-Support (Phase 4)</strong></p>\n<p>When a Dependency Software version reaches end-of support, it will no longer receive updates or releases. Previously published releases will continue to be available via Conda ( up to <a class=\"reference internal\" href=\"announcements/neuron1.x/announcements.html#eol-conda-packages\"><span class=\"std std-ref\">Neuron 1.13.0</span></a> ) or Pip packages. Use of an SDK which has reached end-of-support is done at the user’s discretion. We recommend users to upgrade to the new major version.</p>\n<p>When a Dependency Software version reaches end-of support, it will no longer receive critical bugfixes and security patches. Previously published Dependency Software versions will continue to be available via Neuron SDK Conda ( up to <a class=\"reference internal\" href=\"announcements/neuron1.x/announcements.html#eol-conda-packages\"><span class=\"std std-ref\">Neuron 1.13.0</span></a> ) or Pip packages.</p>\n<p>Use of a Dependency Software version which has reached end-of-support is done at the user’s discretion. We recommend users to upgrade to the latest Neuron SDK version that include the latest Dependency Software versions.</p>\n</li>\n</ul>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p>AWS reserves the right to stop support for an underlying dependency without a maintenance phase.</p>\n</div>\n</div>\n<div class=\"section\" id=\"communication\">\n<h2><a class=\"toc-backref\" href=\"#id7\">Communication</a><a class=\"headerlink\" href=\"#communication\" title=\"Permalink to this headline\">#</a></h2>\n<p>Maintenance and End-Of-Support announcements are communicated as follows:</p>\n<ul class=\"simple\">\n<li><p>Neuron SDK documentation.</p></li>\n</ul>\n<p>To see the list of available Neuron SDK versions and supported Dependency Software versions see <a class=\"reference internal\" href=\"../release-notes/releasecontent.html#neuron-release-content\"><span class=\"std std-ref\">Release Content</span></a> and <a class=\"reference internal\" href=\"../release-notes/index.html#neuron-whatsnew\"><span class=\"std std-ref\">What’s New</span></a> in latest Neuron version.</p>\n</div>\n<div class=\"section\" id=\"licenses\">\n<h2><a class=\"toc-backref\" href=\"#id8\">Licenses</a><a class=\"headerlink\" href=\"#licenses\" title=\"Permalink to this headline\">#</a></h2>\n<p>The license files for the Neuron SDK packages are located in the installation directories.</p>\n<p>For RPM/YUM packages, first follow Neuron SDK setup instructions to install RPM/YUM packages, then do:</p>\n<div class=\"highlight-bash notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># The following command assumes you have already installed RPM/YUM packages per Neuron SDK setup instructions</span>\n<span class=\"k\">if</span><span class=\"w\"> </span><span class=\"o\">[</span><span class=\"w\"> </span><span class=\"nv\">$USER</span><span class=\"w\"> </span><span class=\"o\">==</span><span class=\"w\"> </span><span class=\"s2\">\"ubuntu\"</span><span class=\"w\"> </span><span class=\"o\">]</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"k\">then</span><span class=\"w\"> </span>sudo<span class=\"w\"> </span>dpkg<span class=\"w\"> </span>-L<span class=\"w\"> </span><span class=\"k\">$(</span>sudo<span class=\"w\"> </span>dpkg-query<span class=\"w\"> </span>-f<span class=\"w\"> </span><span class=\"s1\">'${binary:Package}\\n'</span><span class=\"w\"> </span>-W<span class=\"w\"> </span><span class=\"p\">|</span><span class=\"w\"> </span>grep<span class=\"w\"> </span>neuron<span class=\"k\">)</span><span class=\"w\"> </span><span class=\"p\">|</span><span class=\"w\"> </span>grep<span class=\"w\"> </span>-i<span class=\"w\"> </span>license<span class=\"p\">;</span><span class=\"w\"> </span><span class=\"k\">else</span><span class=\"w\"> </span>rpm<span class=\"w\"> </span>-ql<span class=\"w\"> </span><span class=\"k\">$(</span>rpm<span class=\"w\"> </span>-qa<span class=\"w\"> </span><span class=\"p\">|</span><span class=\"w\"> </span>grep<span class=\"w\"> </span>neuron<span class=\"k\">)</span><span class=\"w\"> </span><span class=\"p\">|</span><span class=\"w\"> </span>grep<span class=\"w\"> </span>-i<span class=\"w\"> </span>license<span class=\"p\">;</span><span class=\"w\"> </span><span class=\"k\">fi</span>\n</pre></div>\n</div>\n<p>Example output:</p>\n<div class=\"highlight-bash notranslate\"><div class=\"highlight\"><pre><span></span>/usr/share/doc/aws-neuronx-tools/LICENSE.txt\n/usr/share/doc/aws-neuronx-tools/THIRD-PARTY-LICENSES.txt\n/usr/share/doc/aws-neuronx-oci-hook/LICENSE.txt\n/usr/share/doc/aws-neuronx-oci-hook/THIRD-PARTY-LICENSES.txt\n/usr/share/doc/aws-neuronx-collectives/LICENSE.txt\n/usr/share/doc/aws-neuronx-runtime-lib/LICENSE.txt\n/usr/src/aws-neuronx-2.7.33.0/LICENSE\n</pre></div>\n</div>\n<p>For the Python packages, you can see the locations of licenses in the site-packages directory of the Python environment using the following commands:</p>\n<div class=\"highlight-bash notranslate\"><div class=\"highlight\"><pre><span></span><span class=\"c1\"># The following installation instructions are only for license check, not development or deployment.</span>\n<span class=\"c1\"># See Neuron SDK setup instruction for proper development or deployment setups.</span>\npython<span class=\"w\"> </span>-m<span class=\"w\"> </span>venv<span class=\"w\"> </span>check_license_venv\n<span class=\"nb\">source</span><span class=\"w\"> </span>check_license_venv/bin/activate\npip<span class=\"w\"> </span>install<span class=\"w\"> </span>-U<span class=\"w\"> </span>pip\npython<span class=\"w\"> </span>-m<span class=\"w\"> </span>pip<span class=\"w\"> </span>config<span class=\"w\"> </span><span class=\"nb\">set</span><span class=\"w\"> </span>global.extra-index-url<span class=\"w\"> </span><span class=\"s2\">\"https://pip.repos.neuron.amazonaws.com\"</span>\npython<span class=\"w\"> </span>-m<span class=\"w\"> </span>pip<span class=\"w\"> </span>install<span class=\"w\"> </span>neuron-cc<span class=\"w\"> </span>neuronx-cc<span class=\"w\"> </span>torch-neuron<span class=\"w\"> </span>torch-neuronx<span class=\"w\"> </span>tensorflow-neuron<span class=\"w\"> </span>tensorflow-neuronx<span class=\"w\"> </span>tensorboard-plugin-neuron<span class=\"w\"> </span>tensorboard-plugin-neuronx<span class=\"w\"> </span>mx_neuron\nls<span class=\"w\"> </span><span class=\"nv\">$VIRTUAL_ENV</span>/lib/python*/site-packages/<span class=\"o\">{</span>libneuronxla,torch_xla,torch_neuron,tensorflow_neuron,tensorboard_plugin_neuron,mx_neuron,neuron<span class=\"o\">}</span>*/*LICENSE*\n</pre></div>\n</div>\n<p>Example output:</p>\n<div class=\"highlight-bash notranslate\"><div class=\"highlight\"><pre><span></span>/home/ec2-user/test_venv/lib/python3.7/site-packages/libneuronxla/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/libneuronxla/THIRD-PARTY-LICENSES.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/mx_neuron/THIRD-PARTY-LICENSES.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/neuron_cc-1.14.3.0+adaa2ac56.dist-info/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/neuronx_cc-2.5.0.28+1be23f232.dist-info/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/neuronx_hwm-2.5.0.0+dad732dd6.dist-info/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorboard_plugin_neuron/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorboard_plugin_neuron/THIRD-PARTY-LICENSES.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorboard_plugin_neuronx/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorboard_plugin_neuronx/THIRD-PARTY-LICENSES.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorflow_neuron/LICENSE\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorflow_neuron/THIRD-PARTY-LICENSES.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/tensorflow_neuronx/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/torch_neuron-1.13.1.2.6.5.0.dist-info/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/torch_neuronx/LICENSE.txt\n/home/ec2-user/test_venv/lib/python3.7/site-packages/torch_xla-1.13.0+torchneuron5.dist-info/LICENSE\n</pre></div>\n</div>\n<p>Neuron documentation, samples and tools packages on GitHub licenses are available in the respective GitHub repositories:</p>\n<p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/master/LICENSE-DOCUMENTATION\">https://github.com/aws-neuron/aws-neuron-sdk/blob/master/LICENSE-DOCUMENTATION</a></p>\n<p><a class=\"reference external\" href=\"https://github.com/aws-neuron/transformers-neuronx/blob/master/LICENSE\">https://github.com/aws-neuron/transformers-neuronx/blob/master/LICENSE</a></p>\n<p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/LICENSE\">https://github.com/aws-neuron/aws-neuron-samples/blob/master/LICENSE</a></p>\n<p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/master/src/neuronperf/LICENSE\">https://github.com/aws-neuron/aws-neuron-sdk/blob/master/src/neuronperf/LICENSE</a></p>\n<p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-reference-for-megatron-lm/blob/master/LICENSE\">https://github.com/aws-neuron/aws-neuron-reference-for-megatron-lm/blob/master/LICENSE</a></p>\n<p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples/blob/master/LICENSE\">https://github.com/aws-neuron/aws-neuron-parallelcluster-samples/blob/master/LICENSE</a></p>\n<p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-tensorflow/blob/master/LICENSE\">https://github.com/aws-neuron/aws-neuron-tensorflow/blob/master/LICENSE</a></p>\n<p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-tensorflow/blob/master/THIRD-PARTY-LICENSES.txt\">https://github.com/aws-neuron/aws-neuron-tensorflow/blob/master/THIRD-PARTY-LICENSES.txt</a></p>\n<p><a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron/blob/main/THIRD-PARTY-LICENSES\">https://github.com/aws-neuron/neuronx-nemo-megatron/blob/main/THIRD-PARTY-LICENSES</a></p>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n</div>\n</div>\n\n<div class=\"section\">\n \n</div>\n\n </div>\n \n </main>\n <footer class=\"footer-article noprint\">\n \n <!-- Previous / next buttons -->\n<div class=\"prev-next-area\">\n <a class=\"left-prev\" id=\"prev-link\" href=\"support.html\" title=\"previous page\">\n <i class=\"fas fa-angle-left\"></i>\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">previous</p>\n <p 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\n</body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:24.521Z"}}},{"rowIdx":293,"cells":{"title":{"kind":"string","value":""},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/_sources/index.rst.txt"},"markdown":{"kind":"string","value":"```\nWelcome to AWS Neuron\n=====================\n\n.. meta::\n :description: Neuron SDK is powering AWS Inferentia and Trainium based instances, natively integrated into PyTorch and TensorFlow. Enabling you to quicky start with Amazon EC2, AWS Sagemaker, ECS and EKS.\n\nAWS Neuron is the SDK used to run deep learning workloads on AWS Inferentia and AWS Trainium based instances. It supports customers in their end-to-end ML development lifecycle to build new models, train and optimize these models, and then deploy them for production. To learn about the model architectures currently supported on Inf1, Inf2, Trn1 and Trn1n instances, please see :ref:`model_architecture_fit`. To learn about upcoming capabilities, please view the :ref:`neuron_roadmap`.\n\nAWS Neuron includes a deep learning compiler, runtime, and tools that are natively integrated into TensorFlow, PyTorch and Apache MXNet (incubating). The EC2 Trn1/Trn1n instances are optimized for the highest performance and best price-performance training in AWS. The EC2 Inf2 instances are designed for high-performance deep learning inference applications. With Neuron, customers can quickly start using Inf/Trn instances through services like Amazon Sagemaker, Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), AWS Batch, and AWS Parallel Cluster. \n\nCheck :ref:`announcements-main` and check :ref:`latest-neuron-release` for latest release.\n\n\n.. grid:: 2\n\n\n .. card:: Get Started with Neuron\n :link: neuron-quickstart\n :link-type: ref\n\n\n .. card:: Neuron Quick Links\n :link: docs-quick-links\n :link-type: ref\n\n\n.. toctree::\n :maxdepth: 1\n :caption: Overview\n \n Quick Links </general/quick-start/docs-quicklinks>\n Get Started with Neuron </general/quick-start/index>\n GitHub Samples </general/quick-start/github-samples>\n Performance </general/benchmarks/index>\n What’s New </release-notes/index>\n /general/announcements/blogs\n Announcements </general/announcements/index>\n\n.. toctree::\n :maxdepth: 1\n :caption: ML Frameworks\n\n PyTorch Neuron </frameworks/torch/index>\n TensorFlow Neuron </frameworks/tensorflow/index>\n Apache MXNet (Incubating) </frameworks/mxnet-neuron/index>\n\n\n.. toctree::\n :maxdepth: 1\n :caption: ML Libraries\n\n Transformers Neuron </libraries/transformers-neuronx/index>\n Neuron Distributed </libraries/neuronx-distributed/index>\n AWS Neuron Reference for NeMo Megatron </libraries/nemo-megatron/index>\n\n\n\n.. toctree::\n :maxdepth: 1\n :caption: User Guide\n\n Neuron Runtime </neuron-runtime/index>\n Neuron Compiler </compiler/index>\n Neuron C++ Custom Operators </neuron-customops/index>\n Neuron Tools </tools/index>\n Neuron Calculator </general/calculator/neuron-calculator>\n Setup Guide </general/setup/index>\n Containers Deployment </containers/index>\n Developer Flows </general/devflows/index>\n\n.. toctree::\n :maxdepth: 1\n :caption: Learning Neuron\n\n Architecture </general/arch/index>\n Features </general/arch/neuron-features/index>\n Application Notes </general/appnotes/index>\n FAQ </general/faq>\n Troubleshooting </general/troubleshooting>\n\n\n.. toctree::\n :maxdepth: 1\n :caption: About Neuron\n \n /release-notes/release\n Roadmap </general/roadmap-readme>\n Support </general/support>\n\n\n\n```"},"html":{"kind":"string","value":"<html><head><meta name=\"color-scheme\" content=\"light dark\"></head><body><pre style=\"word-wrap: break-word; white-space: pre-wrap;\">Welcome to AWS Neuron\n=====================\n\n.. meta::\n :description: Neuron SDK is powering AWS Inferentia and Trainium based instances, natively integrated into PyTorch and TensorFlow. Enabling you to quicky start with Amazon EC2, AWS Sagemaker, ECS and EKS.\n\nAWS Neuron is the SDK used to run deep learning workloads on AWS Inferentia and AWS Trainium based instances. It supports customers in their end-to-end ML development lifecycle to build new models, train and optimize these models, and then deploy them for production. To learn about the model architectures currently supported on Inf1, Inf2, Trn1 and Trn1n instances, please see :ref:`model_architecture_fit`. To learn about upcoming capabilities, please view the :ref:`neuron_roadmap`.\n\nAWS Neuron includes a deep learning compiler, runtime, and tools that are natively integrated into TensorFlow, PyTorch and Apache MXNet (incubating). The EC2 Trn1/Trn1n instances are optimized for the highest performance and best price-performance training in AWS. The EC2 Inf2 instances are designed for high-performance deep learning inference applications. With Neuron, customers can quickly start using Inf/Trn instances through services like Amazon Sagemaker, Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), AWS Batch, and AWS Parallel Cluster. \n\nCheck :ref:`announcements-main` and check :ref:`latest-neuron-release` for latest release.\n\n\n.. grid:: 2\n\n\n .. card:: Get Started with Neuron\n :link: neuron-quickstart\n :link-type: ref\n\n\n .. card:: Neuron Quick Links\n :link: docs-quick-links\n :link-type: ref\n\n\n.. toctree::\n :maxdepth: 1\n :caption: Overview\n \n Quick Links </general/quick-start/docs-quicklinks>\n Get Started with Neuron </general/quick-start/index>\n GitHub Samples </general/quick-start/github-samples>\n Performance </general/benchmarks/index>\n What’s New </release-notes/index>\n /general/announcements/blogs\n Announcements </general/announcements/index>\n\n.. toctree::\n :maxdepth: 1\n :caption: ML Frameworks\n\n PyTorch Neuron </frameworks/torch/index>\n TensorFlow Neuron </frameworks/tensorflow/index>\n Apache MXNet (Incubating) </frameworks/mxnet-neuron/index>\n\n\n.. toctree::\n :maxdepth: 1\n :caption: ML Libraries\n\n Transformers Neuron </libraries/transformers-neuronx/index>\n Neuron Distributed </libraries/neuronx-distributed/index>\n AWS Neuron Reference for NeMo Megatron </libraries/nemo-megatron/index>\n\n\n\n.. toctree::\n :maxdepth: 1\n :caption: User Guide\n\n Neuron Runtime </neuron-runtime/index>\n Neuron Compiler </compiler/index>\n Neuron C++ Custom Operators </neuron-customops/index>\n Neuron Tools </tools/index>\n Neuron Calculator </general/calculator/neuron-calculator>\n Setup Guide </general/setup/index>\n Containers Deployment </containers/index>\n Developer Flows </general/devflows/index>\n\n.. toctree::\n :maxdepth: 1\n :caption: Learning Neuron\n\n Architecture </general/arch/index>\n Features </general/arch/neuron-features/index>\n Application Notes </general/appnotes/index>\n FAQ </general/faq>\n Troubleshooting </general/troubleshooting>\n\n\n.. toctree::\n :maxdepth: 1\n :caption: About Neuron\n \n /release-notes/release\n Roadmap </general/roadmap-readme>\n Support </general/support>\n\n\n</pre></body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:24.592Z"}}},{"rowIdx":294,"cells":{"title":{"kind":"string","value":""},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/_sources/general/quick-start/docs-quicklinks.rst.txt"},"markdown":{"kind":"string","value":"```\n.. _docs-quick-links:\n\nNeuron Quick Links\n==================\n\n.. grid:: 2\n\n\n .. dropdown:: Overview\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * :ref:`neuron-quickstart`\n * :ref:`neuron-github-samples`\n * :ref:`benchmark`\n * :ref:`neuron-whatsnew`\n * :ref:`announcements-main`\n \n\n .. dropdown:: ML Frameworks\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * :ref:`pytorch-neuronx-main`\n * :ref:`tensorflow-neuron-main`\n * :ref:`mxnet-neuron-main`\n\n .. dropdown:: ML Libraries\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * :ref:`transformers_neuronx_readme`\n * :ref:`neuronx-distributed-index`\n \n \n .. dropdown:: User Guide\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * :ref:`neuron_runtime`\n * :ref:`neuron_cc`\n * :ref:`neuron_c++customops`\n * :ref:`neuron-tools`\n * :ref:`setup-guide-index`\n * :ref:`neuron_containers`\n * :ref:`neuron-devflows`\n\n\n .. dropdown:: Learn Neuron\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n \n * :ref:`neuron-architecture-index`\n * :ref:`neuron-features-index`\n * :ref:`neuron-appnotes-index`\n * :ref:`neuron_faq`\n * :ref:`general-troubleshooting`\n\n\n .. dropdown:: About Neuron\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * :ref:`latest-release`\n * :ref:`neuron_roadmap`\n * :ref:`neuron_support` \n\n\n\n```"},"html":{"kind":"string","value":"<html><head><meta name=\"color-scheme\" content=\"light dark\"></head><body><pre style=\"word-wrap: break-word; white-space: pre-wrap;\">.. _docs-quick-links:\n\nNeuron Quick Links\n==================\n\n.. grid:: 2\n\n\n .. dropdown:: Overview\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * :ref:`neuron-quickstart`\n * :ref:`neuron-github-samples`\n * :ref:`benchmark`\n * :ref:`neuron-whatsnew`\n * :ref:`announcements-main`\n \n\n .. dropdown:: ML Frameworks\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * :ref:`pytorch-neuronx-main`\n * :ref:`tensorflow-neuron-main`\n * :ref:`mxnet-neuron-main`\n\n .. dropdown:: ML Libraries\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * :ref:`transformers_neuronx_readme`\n * :ref:`neuronx-distributed-index`\n \n \n .. dropdown:: User Guide\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * :ref:`neuron_runtime`\n * :ref:`neuron_cc`\n * :ref:`neuron_c++customops`\n * :ref:`neuron-tools`\n * :ref:`setup-guide-index`\n * :ref:`neuron_containers`\n * :ref:`neuron-devflows`\n\n\n .. dropdown:: Learn Neuron\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n \n * :ref:`neuron-architecture-index`\n * :ref:`neuron-features-index`\n * :ref:`neuron-appnotes-index`\n * :ref:`neuron_faq`\n * :ref:`general-troubleshooting`\n\n\n .. dropdown:: About Neuron\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * :ref:`latest-release`\n * :ref:`neuron_roadmap`\n * :ref:`neuron_support` \n\n\n</pre></body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:24.598Z"}}},{"rowIdx":295,"cells":{"title":{"kind":"string","value":"Release Details — AWS Neuron Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/release-notes/release.html"},"markdown":{"kind":"string","value":"# Release Details — AWS Neuron Documentation\n\nToggle in-page Table of Contents"},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Release Details — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link 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href=\"../general/quick-start/index.html\">\n Get Started with Neuron\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../general/quick-start/github-samples.html\">\n GitHub Samples\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../general/benchmarks/index.html\">\n Performance\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"index.html\">\n What’s New\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../general/announcements/index.html\">\n Announcements\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Frameworks\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/index.html\">\n PyTorch Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-1\" name=\"toctree-checkbox-1\" type=\"checkbox\">\n <label for=\"toctree-checkbox-1\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-setup.html\">\n Pytorch Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuronx.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-2\" name=\"toctree-checkbox-2\" type=\"checkbox\">\n <label for=\"toctree-checkbox-2\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorials-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-3\" name=\"toctree-checkbox-3\" type=\"checkbox\">\n <label for=\"toctree-checkbox-3\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/bert-base-cased-finetuned-mrpc-inference-on-trn1-tutorial.html\">\n Compiling and Deploying HuggingFace Pretrained BERT on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorial-torchserve-neuronx.html\">\n BERT TorchServe Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorial-libtorch.html\">\n LibTorch C++ Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-4\" name=\"toctree-checkbox-4\" type=\"checkbox\">\n <label for=\"toctree-checkbox-4\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx\">\n Transformers Neuron GitHub samples\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/inference-api-guide-torch-neuronx.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-5\" name=\"toctree-checkbox-5\" type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/appnotes/torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/appnotes/torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/appnotes/torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-26\" name=\"toctree-checkbox-26\" type=\"checkbox\">\n <label for=\"toctree-checkbox-26\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-28\" name=\"toctree-checkbox-28\" type=\"checkbox\">\n <label for=\"toctree-checkbox-28\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tracing-python-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label for=\"toctree-checkbox-31\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-32\" name=\"toctree-checkbox-32\" type=\"checkbox\">\n <label for=\"toctree-checkbox-32\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-33\" name=\"toctree-checkbox-33\" type=\"checkbox\">\n <label for=\"toctree-checkbox-33\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/api-compilation-python-api.html\">\n Neuron Apache MXNet (Incubating) Compilation Python API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-34\" name=\"toctree-checkbox-34\" type=\"checkbox\">\n <label for=\"toctree-checkbox-34\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/appnotes/mxnet-neuron/flex-eg.html\">\n Flexible Execution Group (FlexEG) in Neuron-MXNet\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/misc-mxnet-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-35\" name=\"toctree-checkbox-35\" type=\"checkbox\">\n <label for=\"toctree-checkbox-35\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for Neuron Apache MXNet (Incubating)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"mxnet-neuron/mxnet-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-mxnet.html\">\n Neuron Apache MXNet (Incubating) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Libraries\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/index.html\">\n Transformers Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-36\" name=\"toctree-checkbox-36\" type=\"checkbox\">\n <label for=\"toctree-checkbox-36\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/setup/index.html\">\n Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-37\" name=\"toctree-checkbox-37\" type=\"checkbox\">\n <label for=\"toctree-checkbox-37\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/transformers-neuronx-developer-guide.html\">\n Transformers Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n transformers-neuronx\n </span>\n </code>\n ) Developer Guide\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/transformers-neuronx-tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-38\" name=\"toctree-checkbox-38\" type=\"checkbox\">\n <label for=\"toctree-checkbox-38\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/meta-llama-2-13b-sampling.ipynb\">\n Hugging Face meta-llama/Llama-2-13b autoregressive sampling on Inf2 & Trn1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-13b-sampling.ipynb\">\n Hugging Face facebook/opt-13b autoregressive sampling on Inf2 & Trn1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-30b-sampling.ipynb\">\n Hugging Face facebook/opt-30b autoregressive sampling on Inf2 & Trn1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-66b-sampling.ipynb\">\n Hugging Face facebook/opt-66b autoregressive sampling on Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" 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What's New\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/getting-started-tensorboard-neuron-plugin.html\">\n TensorBoard Plugin for Neuron (Inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../tools/helper-tools/index.html\">\n Helper Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-67\" name=\"toctree-checkbox-67\" type=\"checkbox\">\n <label for=\"toctree-checkbox-67\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/helper-tools/tutorial-neuron-check-model.html\">\n Check Model\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/helper-tools/tutorial-neuron-gatherinfo.html\">\n GatherInfo\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" 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Evaluate Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_compile_guide.html\">\n Compile Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_model_index_guide.html\">\n Model Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" 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class=\"reference internal\" href=\"../general/setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../general/setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" 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class=\"reference internal\" href=\"../containers/tutorials/inference/index.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-73\" name=\"toctree-checkbox-73\" type=\"checkbox\">\n <label for=\"toctree-checkbox-73\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/tutorial-infer.html\">\n Run inference in pytorch neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/k8s_rn50_demo.html\">\n Deploy a TensorFlow Resnet50 model as a Kubernetes service\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label 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Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-79\" name=\"toctree-checkbox-79\" type=\"checkbox\">\n <label for=\"toctree-checkbox-79\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/inference/index.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/tutorials/training/index.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-80\" name=\"toctree-checkbox-80\" type=\"checkbox\">\n <label for=\"toctree-checkbox-80\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/ec2-flows.html\">\n AWS EC2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-82\" name=\"toctree-checkbox-82\" type=\"checkbox\">\n <label for=\"toctree-checkbox-82\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/ec2-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-83\" name=\"toctree-checkbox-83\" type=\"checkbox\">\n <label for=\"toctree-checkbox-83\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/ec2-then-ec2-devflow.html\">\n Compile with Framework API and Deploy on EC2 Inf1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/ec2-then-ec2-devflow-inf2.html\">\n Compile with Framework API and Deploy on EC2 Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/training/ec2-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-84\" name=\"toctree-checkbox-84\" type=\"checkbox\">\n <label for=\"toctree-checkbox-84\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/training/ec2/ec2-training.html\">\n Train your model on EC2\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/eks-flows.html\">\n Amazon EKS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-85\" name=\"toctree-checkbox-85\" type=\"checkbox\">\n <label for=\"toctree-checkbox-85\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/eks-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-86\" name=\"toctree-checkbox-86\" type=\"checkbox\">\n <label for=\"toctree-checkbox-86\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../general/devflows/training/eks-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/ecs-flows.html\">\n AWS ECS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-87\" name=\"toctree-checkbox-87\" type=\"checkbox\">\n <label for=\"toctree-checkbox-87\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/ecs-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-88\" name=\"toctree-checkbox-88\" type=\"checkbox\">\n <label for=\"toctree-checkbox-88\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../general/devflows/training/ecs-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/sagemaker-flows.html\">\n Sagemaker\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-89\" name=\"toctree-checkbox-89\" type=\"checkbox\">\n <label for=\"toctree-checkbox-89\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/sagemaker-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-90\" name=\"toctree-checkbox-90\" type=\"checkbox\">\n <label for=\"toctree-checkbox-90\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/byoc-hosting-devflow-inf2.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf2 or trn1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/byoc-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/neo-then-hosting-devflow.html\">\n Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/training/sagemaker-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-91\" name=\"toctree-checkbox-91\" type=\"checkbox\">\n <label for=\"toctree-checkbox-91\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/training/sm-devflow/sm-training-devflow.html\">\n Train your model on SageMaker\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sagemaker-samples\">\n AWS Neuron Sagemaker Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/parallelcluster-flows.html\">\n Parallel Cluster\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-92\" name=\"toctree-checkbox-92\" type=\"checkbox\">\n <label for=\"toctree-checkbox-92\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/parallelcluster-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/training/parallelcluster-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-93\" name=\"toctree-checkbox-93\" type=\"checkbox\">\n <label for=\"toctree-checkbox-93\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../general/devflows/training/parallelcluster/parallelcluster-training.html\">\n Train your model on ParallelCluster\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../general/devflows/aws-batch-flows.html\">\n AWS Batch Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-94\" name=\"toctree-checkbox-94\" type=\"checkbox\">\n <label for=\"toctree-checkbox-94\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../general/devflows/inference/aws-batch-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../general/devflows/training/aws-batch-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Learning Neuron\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../general/arch/index.html\">\n Architecture\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-95\" name=\"toctree-checkbox-95\" type=\"checkbox\">\n <label for=\"toctree-checkbox-95\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a 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New</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"index.html#latest-neuron-release-artifacts\"><span class=\"std std-ref\">Release Artifacts</span></a></p></li>\n</ul>\n</div>\n<div class=\"section\" id=\"previous-releases\">\n<h2>Previous Releases<a class=\"headerlink\" href=\"#previous-releases\" title=\"Permalink to this headline\">#</a></h2>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"prev/rn.html#prev-rn\"><span class=\"std std-ref\">Previous Releases Notes (Neuron 2.x)</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"prev/content.html#pre-release-content\"><span class=\"std std-ref\">Previous Releases Artifacts (Neuron 2.x)</span></a></p></li>\n<li><p><a class=\"reference internal\" href=\"neuron1/prev/rn.html#prev-n1-rn\"><span class=\"std std-ref\">Previous Release Notes (Neuron 1.x)</span></a></p></li>\n</ul>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span 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issues](https://github.com/aws/aws-neuron-sdk/issues) or [Neuron AWS forums](https://forums.aws.amazon.com/forum.jspa?forumID=355) for an answer, if none of those resources have an answer to your question please open a ticket.\n\nIf you have an urgent need for a feature you can also contact us directly at [aws-neuron-support@amazon.com](mailto:aws-neuron-support%40amazon.com).\n\n_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`"},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Contact Us — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link href=\"../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n\n \n <link rel=\"stylesheet\" 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aria-label=\"Main\">\n <div class=\"bd-toc-item active\">\n <p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Overview\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/docs-quicklinks.html\">\n Quick Links\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/index.html\">\n Get Started with Neuron\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/github-samples.html\">\n GitHub Samples\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"benchmarks/index.html\">\n Performance\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../release-notes/index.html\">\n What’s New\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"announcements/index.html\">\n Announcements\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Frameworks\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/index.html\">\n PyTorch Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-1\" name=\"toctree-checkbox-1\" type=\"checkbox\">\n <label for=\"toctree-checkbox-1\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-setup.html\">\n Pytorch Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuronx.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-2\" name=\"toctree-checkbox-2\" type=\"checkbox\">\n <label for=\"toctree-checkbox-2\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorials-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-3\" name=\"toctree-checkbox-3\" type=\"checkbox\">\n <label for=\"toctree-checkbox-3\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/bert-base-cased-finetuned-mrpc-inference-on-trn1-tutorial.html\">\n Compiling and Deploying HuggingFace Pretrained BERT on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/inference/tutorial-torchserve-neuronx.html\">\n BERT TorchServe Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorial-libtorch.html\">\n LibTorch C++ Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-4\" name=\"toctree-checkbox-4\" type=\"checkbox\">\n <label for=\"toctree-checkbox-4\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx\">\n Transformers Neuron GitHub samples\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/inference-api-guide-torch-neuronx.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-5\" name=\"toctree-checkbox-5\" type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" 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href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" 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has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" 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href=\"../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-26\" name=\"toctree-checkbox-26\" type=\"checkbox\">\n <label for=\"toctree-checkbox-26\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-28\" name=\"toctree-checkbox-28\" type=\"checkbox\">\n <label for=\"toctree-checkbox-28\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tracing-python-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label for=\"toctree-checkbox-31\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-32\" name=\"toctree-checkbox-32\" type=\"checkbox\">\n <label for=\"toctree-checkbox-32\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-33\" name=\"toctree-checkbox-33\" type=\"checkbox\">\n <label for=\"toctree-checkbox-33\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/api-compilation-python-api.html\">\n Neuron Apache MXNet (Incubating) Compilation Python API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-34\" name=\"toctree-checkbox-34\" type=\"checkbox\">\n <label for=\"toctree-checkbox-34\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/mxnet-neuron/flex-eg.html\">\n Flexible Execution Group (FlexEG) in Neuron-MXNet\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/misc-mxnet-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-35\" name=\"toctree-checkbox-35\" type=\"checkbox\">\n <label for=\"toctree-checkbox-35\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" 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href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html\">\n Neuron Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/index.html\">\n Neuron C++ Custom Operators\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-59\" name=\"toctree-checkbox-59\" type=\"checkbox\">\n <label for=\"toctree-checkbox-59\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/api-reference-guide/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-60\" name=\"toctree-checkbox-60\" type=\"checkbox\">\n <label for=\"toctree-checkbox-60\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" 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</li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" name=\"toctree-checkbox-66\" type=\"checkbox\">\n <label for=\"toctree-checkbox-66\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/tutorials/tutorial-tensorboard-scalars-mnist.html\">\n Track Training Progress in TensorBoard using PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/getting-started-tensorboard-neuronx-plugin.html\">\n TensorBoard Plugin for Neuron (Trn1)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/tools/tensorboard-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/getting-started-tensorboard-neuron-plugin.html\">\n TensorBoard Plugin for Neuron (Inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../tools/helper-tools/index.html\">\n Helper Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-67\" name=\"toctree-checkbox-67\" type=\"checkbox\">\n <label for=\"toctree-checkbox-67\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/helper-tools/tutorial-neuron-check-model.html\">\n Check Model\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/helper-tools/tutorial-neuron-gatherinfo.html\">\n GatherInfo\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/index.html\">\n NeuronPerf (Beta)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-68\" name=\"toctree-checkbox-68\" type=\"checkbox\">\n <label for=\"toctree-checkbox-68\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_overview.html\">\n Overview\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_terminology.html\">\n Terminology\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" 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</label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" 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Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n 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class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" 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class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li 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<i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/training/ec2/ec2-training.html\">\n Train your model on EC2\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/eks-flows.html\">\n Amazon EKS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-85\" name=\"toctree-checkbox-85\" type=\"checkbox\">\n <label for=\"toctree-checkbox-85\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/inference/eks-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-86\" name=\"toctree-checkbox-86\" type=\"checkbox\">\n <label for=\"toctree-checkbox-86\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/training/eks-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/ecs-flows.html\">\n AWS ECS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-87\" name=\"toctree-checkbox-87\" type=\"checkbox\">\n <label for=\"toctree-checkbox-87\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/inference/ecs-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-88\" name=\"toctree-checkbox-88\" type=\"checkbox\">\n <label for=\"toctree-checkbox-88\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/training/ecs-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/sagemaker-flows.html\">\n Sagemaker\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-89\" name=\"toctree-checkbox-89\" type=\"checkbox\">\n <label for=\"toctree-checkbox-89\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/inference/sagemaker-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-90\" name=\"toctree-checkbox-90\" type=\"checkbox\">\n <label for=\"toctree-checkbox-90\">\n <i 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href=\"appnotes/torch-neuron/rcnn-app-note.html\">\n Running R-CNNs on Inf1\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">\n Generative LLM inference with Neuron\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n About Neuron\n </span>\n</p>\n<ul class=\"current nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../release-notes/release.html\">\n Release Details\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"roadmap-readme.html\">\n Roadmap\n </a>\n <input class=\"toctree-checkbox\" 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id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n<div class=\"section\" id=\"contact-us\">\n<span id=\"id1\"></span><h1>Contact Us<a class=\"headerlink\" href=\"#contact-us\" title=\"Permalink to this headline\">#</a></h1>\n<p>For support please checkout the <a class=\"reference external\" href=\"https://github.com/aws/aws-neuron-sdk/issues\">Github issues</a> or <a class=\"reference external\" href=\"https://forums.aws.amazon.com/forum.jspa?forumID=355\">Neuron AWS forums</a> for an answer, if none of those resources have an answer to your\nquestion please open a ticket.</p>\n<p>If you have an urgent need for a feature you can also contact us directly at <a class=\"reference external\" href=\"mailto:aws-neuron-support%40amazon.com\">aws-neuron-support<span>@</span>amazon<span>.</span>com</a>.</p>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n</div>\n\n<div class=\"section\">\n \n</div>\n\n </div>\n \n </main>\n <footer class=\"footer-article noprint\">\n \n <!-- Previous / next buttons -->\n<div class=\"prev-next-area\">\n <a class=\"left-prev\" id=\"prev-link\" href=\"security.html\" title=\"previous page\">\n <i class=\"fas fa-angle-left\"></i>\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">previous</p>\n <p class=\"prev-next-title\">Security Disclosures</p>\n </div>\n </a>\n</div>\n </footer>\n </div>\n </div>\n <div class=\"footer-content row\">\n <footer class=\"col footer\"><p>\n \n By AWS<br>\n \n © Copyright 2023, Amazon.com.<br>\n</p>\n </footer>\n </div>\n \n</div>\n\n\n </div>\n </div>\n \n <!-- Scripts loaded after <body> so the DOM is not blocked -->\n <script src=\"../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf\"></script>\n\n\n \n</body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:25.072Z"}}},{"rowIdx":297,"cells":{"title":{"kind":"string","value":""},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/_sources/general/quick-start/github-samples.rst.txt"},"markdown":{"kind":"string","value":"```\n.. _neuron-github-samples:\n\nNeuron GitHub Samples\n=====================\n\n.. grid:: 2\n\n .. dropdown:: Training Samples for ``Trn1``\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * `PyTorch Neuron (torch-neuronx) samples for Trn1 <https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx#training>`_\n * `Nemo Megatron for Neuron for Trn1 <https://github.com/aws-neuron/neuronx-nemo-megatron>`_\n * `AWS Neuron samples for ParallelCluster <https://github.com/aws-neuron/aws-neuron-parallelcluster-samples>`_\n * `AWS Neuron samples for EKS <https://github.com/aws-neuron/aws-neuron-eks-samples>`_\n * `AWS Neuron samples for SageMaker <https://github.com/aws-neuron/aws-neuron-sagemaker-samples>`_\n\n\n .. dropdown:: Inference Samples for ``Inf2 & Trn1``\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * `PyTorch Neuron (torch-neuronx) samples for Inf2 & Trn1 <https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx#inference>`_\n * `Transformers Neuron (transformers-neuronx) samples <https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx>`_\n * `AWS Neuron samples for SageMaker <https://github.com/aws-neuron/aws-neuron-sagemaker-samples>`_\n\n .. dropdown:: Inference Samples for ``Inf1``\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * `PyTorch Neuron (torch-neuron) samples for Inf1 <https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron>`_\n * `TensorFlow Neuron (tensorflow-neuron) samples for Inf1 <https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron>`_\n\n \n\n```"},"html":{"kind":"string","value":"<html><head><meta name=\"color-scheme\" content=\"light dark\"></head><body><pre style=\"word-wrap: break-word; white-space: pre-wrap;\">.. _neuron-github-samples:\n\nNeuron GitHub Samples\n=====================\n\n.. grid:: 2\n\n .. dropdown:: Training Samples for ``Trn1``\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * `PyTorch Neuron (torch-neuronx) samples for Trn1 <https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx#training>`_\n * `Nemo Megatron for Neuron for Trn1 <https://github.com/aws-neuron/neuronx-nemo-megatron>`_\n * `AWS Neuron samples for ParallelCluster <https://github.com/aws-neuron/aws-neuron-parallelcluster-samples>`_\n * `AWS Neuron samples for EKS <https://github.com/aws-neuron/aws-neuron-eks-samples>`_\n * `AWS Neuron samples for SageMaker <https://github.com/aws-neuron/aws-neuron-sagemaker-samples>`_\n\n\n .. dropdown:: Inference Samples for ``Inf2 & Trn1``\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * `PyTorch Neuron (torch-neuronx) samples for Inf2 & Trn1 <https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx#inference>`_\n * `Transformers Neuron (transformers-neuronx) samples <https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx>`_\n * `AWS Neuron samples for SageMaker <https://github.com/aws-neuron/aws-neuron-sagemaker-samples>`_\n\n .. dropdown:: Inference Samples for ``Inf1``\n :class-title: sphinx-design-class-title-small\n :class-body: sphinx-design-class-body-small\n :animate: fade-in\n :open:\n\n * `PyTorch Neuron (torch-neuron) samples for Inf1 <https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron>`_\n * `TensorFlow Neuron (tensorflow-neuron) samples for Inf1 <https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron>`_\n\n \n</pre></body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:25.155Z"}}},{"rowIdx":298,"cells":{"title":{"kind":"string","value":"Security Disclosures — AWS Neuron Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/security.html"},"markdown":{"kind":"string","value":"# Security Disclosures — AWS Neuron Documentation\n\n_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`\n\n## Security Disclosures[#](#security-disclosures \"Permalink to this headline\")\n\nIf you think you’ve found a potential security issue, please do not post it in the Issues. Instead, please follow the instructions here ([https://aws.amazon.com/security/vulnerability-reporting/](https://aws.amazon.com/security/vulnerability-reporting/)) or email AWS security directly ([mailto:aws-security@amazon.com](mailto:aws-security%40amazon.com)).\n\n_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`"},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Security Disclosures — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link href=\"../_static/styles/theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n<link href=\"../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf\" rel=\"stylesheet\">\n\n \n <link rel=\"stylesheet\" href=\"../_static/vendor/fontawesome/5.13.0/css/all.min.css\">\n <link rel=\"preload\" as=\"font\" type=\"font/woff2\" crossorigin=\"\" 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<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Overview\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/docs-quicklinks.html\">\n Quick Links\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/index.html\">\n Get Started with Neuron\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"quick-start/github-samples.html\">\n GitHub Samples\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"benchmarks/index.html\">\n Performance\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../release-notes/index.html\">\n What’s New\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"announcements/index.html\">\n Announcements\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Frameworks\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/index.html\">\n PyTorch Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-1\" name=\"toctree-checkbox-1\" type=\"checkbox\">\n <label for=\"toctree-checkbox-1\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-setup.html\">\n Pytorch Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuronx.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-2\" name=\"toctree-checkbox-2\" type=\"checkbox\">\n <label for=\"toctree-checkbox-2\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 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</li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-4\" name=\"toctree-checkbox-4\" type=\"checkbox\">\n <label for=\"toctree-checkbox-4\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx\">\n Transformers Neuron GitHub samples\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/inference-api-guide-torch-neuronx.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-5\" name=\"toctree-checkbox-5\" type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"appnotes/torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n 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class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/inference-mxnet-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-31\" name=\"toctree-checkbox-31\" type=\"checkbox\">\n <label 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href=\"../frameworks/mxnet-neuron/tutorials/tutorials-mxnet-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-33\" name=\"toctree-checkbox-33\" type=\"checkbox\">\n <label for=\"toctree-checkbox-33\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/api-compilation-python-api.html\">\n Neuron Apache MXNet (Incubating) Compilation Python API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../frameworks/mxnet-neuron/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-34\" 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href=\"../release-notes/mxnet-neuron/mxnet-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-mxnet.html\">\n Neuron Apache MXNet (Incubating) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Libraries\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/index.html\">\n Transformers Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-36\" name=\"toctree-checkbox-36\" type=\"checkbox\">\n <label for=\"toctree-checkbox-36\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" 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href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-30b-sampling.ipynb\">\n Hugging Face facebook/opt-30b autoregressive sampling on Inf2 & Trn1\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/facebook-opt-66b-sampling.ipynb\">\n Hugging Face facebook/opt-66b autoregressive sampling on Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/transformers-neuronx/transformers-neuronx-misc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-39\" name=\"toctree-checkbox-39\" type=\"checkbox\">\n <label for=\"toctree-checkbox-39\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" 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</li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/developer-guide.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-43\" name=\"toctree-checkbox-43\" type=\"checkbox\">\n <label for=\"toctree-checkbox-43\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tp_developer_guide.html\">\n Developer guide for Tensor Parallelism (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/tutorials/index.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-44\" name=\"toctree-checkbox-44\" type=\"checkbox\">\n <label 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href=\"../libraries/neuronx-distributed/tutorials/inference.html\">\n Inference using Tensor Parallelism\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../libraries/neuronx-distributed/neuronx-distributed-misc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-45\" name=\"toctree-checkbox-45\" type=\"checkbox\">\n <label for=\"toctree-checkbox-45\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/neuronx-distributed/neuronx-distributed.html\">\n Neuron Distributed Release Notes (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuronx-distributed\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../libraries/nemo-megatron/index.html\">\n AWS Neuron Reference for NeMo Megatron\n 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href=\"../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html\">\n Neuron Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/index.html\">\n Neuron C++ Custom Operators\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-59\" name=\"toctree-checkbox-59\" type=\"checkbox\">\n <label for=\"toctree-checkbox-59\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../neuron-customops/api-reference-guide/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-60\" name=\"toctree-checkbox-60\" type=\"checkbox\">\n <label for=\"toctree-checkbox-60\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" 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</li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" name=\"toctree-checkbox-66\" type=\"checkbox\">\n <label for=\"toctree-checkbox-66\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/tutorials/tutorial-tensorboard-scalars-mnist.html\">\n Track Training Progress in TensorBoard using PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/tensorboard/getting-started-tensorboard-neuronx-plugin.html\">\n TensorBoard Plugin for Neuron (Trn1)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" 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has-children\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/index.html\">\n NeuronPerf (Beta)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-68\" name=\"toctree-checkbox-68\" type=\"checkbox\">\n <label for=\"toctree-checkbox-68\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_overview.html\">\n Overview\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_terminology.html\">\n Terminology\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" 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</label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" 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Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n 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class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" 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class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li 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<i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/training/ec2/ec2-training.html\">\n Train your model on EC2\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/eks-flows.html\">\n Amazon EKS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-85\" name=\"toctree-checkbox-85\" type=\"checkbox\">\n <label for=\"toctree-checkbox-85\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/inference/eks-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-86\" name=\"toctree-checkbox-86\" type=\"checkbox\">\n <label for=\"toctree-checkbox-86\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/training/eks-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/ecs-flows.html\">\n AWS ECS\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-87\" name=\"toctree-checkbox-87\" type=\"checkbox\">\n <label for=\"toctree-checkbox-87\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/inference/ecs-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-88\" name=\"toctree-checkbox-88\" type=\"checkbox\">\n <label for=\"toctree-checkbox-88\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/training/ecs-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/sagemaker-flows.html\">\n Sagemaker\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-89\" name=\"toctree-checkbox-89\" type=\"checkbox\">\n <label for=\"toctree-checkbox-89\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/inference/sagemaker-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-90\" name=\"toctree-checkbox-90\" type=\"checkbox\">\n <label for=\"toctree-checkbox-90\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/byoc-hosting-devflow-inf2.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf2 or trn1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/byoc-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/inference/neo-then-hosting-devflow.html\">\n Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"devflows/training/sagemaker-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-91\" name=\"toctree-checkbox-91\" type=\"checkbox\">\n <label for=\"toctree-checkbox-91\">\n <i class=\"fas 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class=\"reference internal\" href=\"devflows/training/parallelcluster-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-93\" name=\"toctree-checkbox-93\" type=\"checkbox\">\n <label for=\"toctree-checkbox-93\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"devflows/training/parallelcluster/parallelcluster-training.html\">\n Train your model on ParallelCluster\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"devflows/aws-batch-flows.html\">\n AWS Batch Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-94\" name=\"toctree-checkbox-94\" type=\"checkbox\">\n <label for=\"toctree-checkbox-94\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/inference/aws-batch-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"devflows/training/aws-batch-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Learning Neuron\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"arch/index.html\">\n Architecture\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-95\" name=\"toctree-checkbox-95\" type=\"checkbox\">\n <label for=\"toctree-checkbox-95\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/inf1-arch.html\">\n AWS Inf1 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/trn1-arch.html\">\n AWS Trn1/Trn1n Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/inf2-arch.html\">\n AWS Inf2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/inferentia.html\">\n Inferentia Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/inferentia2.html\">\n Inferentia2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/trainium.html\">\n Trainium Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-hardware/neuroncores-arch.html\">\n AWS NeuronCore Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/model-architecture-fit.html\">\n Neuron Model Architecture Fit Guidelines\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/glossary.html\">\n Neuron Glossary\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"arch/neuron-features/index.html\">\n Features\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-96\" name=\"toctree-checkbox-96\" type=\"checkbox\">\n <label for=\"toctree-checkbox-96\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/data-types.html\">\n Data Types\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/rounding-modes.html\">\n Rounding Modes\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuroncore-batching.html\">\n Neuron Batching\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"arch/neuron-features/neuroncore-pipeline.html\">\n NeuronCore Pipeline\n 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class=\"col pl-md-3 pl-lg-5 content-container\">\n <!-- Table of contents that is only displayed when printing the page -->\n <div id=\"jb-print-docs-body\" class=\"onlyprint\">\n <h1>Security Disclosures</h1>\n <!-- Table of contents -->\n <div id=\"print-main-content\">\n <div id=\"jb-print-toc\">\n \n </div>\n </div>\n </div>\n <main id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n<div class=\"section\" id=\"security-disclosures\">\n<span id=\"security\"></span><h1>Security Disclosures<a class=\"headerlink\" href=\"#security-disclosures\" title=\"Permalink to this headline\">#</a></h1>\n<p>If you think you’ve found a potential security issue, please do not post it in the Issues. Instead, please follow the instructions here\n(<a class=\"reference external\" href=\"https://aws.amazon.com/security/vulnerability-reporting/\">https://aws.amazon.com/security/vulnerability-reporting/</a>) or email AWS\nsecurity directly (<a class=\"reference external\" href=\"mailto:aws-security%40amazon.com\">mailto:aws-security<span>@</span>amazon<span>.</span>com</a>).</p>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1</span></code>, <code class=\"docutils literal notranslate\"><span class=\"pre\">Trn1n</span></code></p>\n</div>\n\n<div class=\"section\">\n \n</div>\n\n </div>\n \n </main>\n <footer class=\"footer-article noprint\">\n \n <!-- Previous / next buttons -->\n<div class=\"prev-next-area\">\n <a class=\"left-prev\" id=\"prev-link\" href=\"sdk-policy.html\" title=\"previous page\">\n <i class=\"fas fa-angle-left\"></i>\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">previous</p>\n <p class=\"prev-next-title\">SDK Maintenance Policy</p>\n </div>\n </a>\n <a class=\"right-next\" id=\"next-link\" href=\"contact.html\" title=\"next page\">\n <div class=\"prev-next-info\">\n <p class=\"prev-next-subtitle\">next</p>\n <p class=\"prev-next-title\">Contact Us</p>\n </div>\n <i class=\"fas fa-angle-right\"></i>\n </a>\n</div>\n </footer>\n </div>\n </div>\n <div class=\"footer-content row\">\n <footer class=\"col footer\"><p>\n \n By AWS<br>\n \n © Copyright 2023, Amazon.com.<br>\n</p>\n </footer>\n </div>\n \n</div>\n\n\n </div>\n </div>\n \n <!-- Scripts loaded after <body> so the DOM is not blocked -->\n <script src=\"../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf\"></script>\n\n\n \n</body></html>"},"crawlDate":{"kind":"string","value":"2023-09-29T20:54:25.356Z"}}},{"rowIdx":299,"cells":{"title":{"kind":"string","value":"Inf2 Performance — AWS Neuron Documentation"},"url":{"kind":"string","value":"https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/benchmarks/inf2/inf2-performance.html#inf2-performance"},"markdown":{"kind":"string","value":"# Inf2 Performance — AWS Neuron Documentation\n\n_This document is relevant for_: `Inf2`\n\n## Inf2 Performance[#](#inf2-performance \"Permalink to this headline\")\n\nTable of contents\n\n- [Language Models Inference Performance](#language-models-inference-performance)\n \n- [Large Language Models Inference Performance](#large-language-models-inference-performance)\n \n- [Vision Models Inference Performance](#vision-models-inference-performance)\n \n\n_Last update: September 15th, 2023_\n\n## [Language Models Inference Performance](#id2)[#](#language-models-inference-performance \"Permalink to this headline\")\n\nThroughput optimized\n\n \n| \nModel\n\n | \n\nScripts\n\n | \n\nFramework\n\n | \n\nInst. Type\n\n | \n\nTask\n\n | \n\nThroughput (inference/second)\n\n | \n\nLatency P50 (ms)\n\n | \n\nLatency P99 (ms)\n\n | \n\nCost per 1M inferences\n\n | \n\nApplication Type\n\n | \n\nNeuron Version\n\n | \n\nRun Mode\n\n | \n\nBatch Size\n\n | \n\nSequence Length\n\n | \n\nModel Data Type\n\n | \n\nCompilation Autocast Data Type\n\n | \n\nOS Type\n\n |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| \n\nalbert-base-v2\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n3025.78\n\n | \n\n10.52\n\n | \n\n10.9\n\n | \n\n$0.070\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n16\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nbert-base-cased\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n2822.93\n\n | \n\n11.08\n\n | \n\n13.57\n\n | \n\n$0.075\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n16\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nbert-base-cased-finetuned-mrpc\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nSequence Classification\n\n | \n\n3318.35\n\n | \n\n9.47\n\n | \n\n11.87\n\n | \n\n$0.063\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n16\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nbert-base-uncased\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n2862.04\n\n | \n\n10.96\n\n | \n\n12.65\n\n | \n\n$0.074\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n16\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nbert-large-cased\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n847.4\n\n | \n\n9.2\n\n | \n\n12.05\n\n | \n\n$0.248\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n4\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nbert-large-uncased\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n849.77\n\n | \n\n18.64\n\n | \n\n23.8\n\n | \n\n$0.248\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n8\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ncamembert-base\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n2901.54\n\n | \n\n10.96\n\n | \n\n11.43\n\n | \n\n$0.073\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n16\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ndistilbert-base-cased\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n5224.7\n\n | \n\n6.03\n\n | \n\n6.61\n\n | \n\n$0.040\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n16\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ndistilbert-base-cased-distilled-squad\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n5299.93\n\n | \n\n5.97\n\n | \n\n6.55\n\n | \n\n$0.040\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n16\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ndistilbert-base-uncased\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n5254.63\n\n | \n\n6.01\n\n | \n\n6.6\n\n | \n\n$0.040\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n16\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ngoogle/electra-base-discriminator\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n2945.94\n\n | \n\n10.66\n\n | \n\n11.72\n\n | \n\n$0.071\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n16\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ngpt2\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n3094.11\n\n | \n\n10.18\n\n | \n\n11.13\n\n | \n\n$0.068\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n16\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ngpt2-large\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.48xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n402.67\n\n | \n\n40.1\n\n | \n\n45.93\n\n | \n\n$8.955\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n8\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ngpt2-medium\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n1009.97\n\n | \n\n15.13\n\n | \n\n19.09\n\n | \n\n$0.208\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n8\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nroberta-base\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n2885.51\n\n | \n\n11.0\n\n | \n\n11.6\n\n | \n\n$0.073\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n16\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nroberta-large\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n965.33\n\n | \n\n16.1\n\n | \n\n19.26\n\n | \n\n$0.218\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n8\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nxlm-roberta-base\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.48xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n48.66\n\n | \n\n649.81\n\n | \n\n820.93\n\n | \n\n$74.103\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n16\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n\nLatency optimized\n\n \n| \nModel\n\n | \n\nScripts\n\n | \n\nFramework\n\n | \n\nInst. Type\n\n | \n\nTask\n\n | \n\nThroughput (inference/second)\n\n | \n\nLatency P50 (ms)\n\n | \n\nLatency P99 (ms)\n\n | \n\nCost per 1M inferences\n\n | \n\nApplication Type\n\n | \n\nNeuron Version\n\n | \n\nRun Mode\n\n | \n\nBatch Size\n\n | \n\nSequence Length\n\n | \n\nModel Data Type\n\n | \n\nCompilation Autocast Data Type\n\n | \n\nOS Type\n\n |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| \n\nalbert-base-v2\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n2057.27\n\n | \n\n0.96\n\n | \n\n1.04\n\n | \n\n$0.102\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nbert-base-cased\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n1942.72\n\n | \n\n1.02\n\n | \n\n1.1\n\n | \n\n$0.108\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nbert-base-cased-finetuned-mrpc\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nSequence Classification\n\n | \n\n2062.41\n\n | \n\n0.97\n\n | \n\n0.99\n\n | \n\n$0.102\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nbert-base-uncased\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n1950.12\n\n | \n\n1.01\n\n | \n\n1.09\n\n | \n\n$0.108\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nbert-large-cased\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n704.26\n\n | \n\n2.82\n\n | \n\n3.04\n\n | \n\n$0.299\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nbert-large-uncased\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n690.38\n\n | \n\n2.83\n\n | \n\n3.21\n\n | \n\n$0.305\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ncamembert-base\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n1946.72\n\n | \n\n1.02\n\n | \n\n1.1\n\n | \n\n$0.108\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ndistilbert-base-cased\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n3113.8\n\n | \n\n0.65\n\n | \n\n0.69\n\n | \n\n$0.068\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ndistilbert-base-cased-distilled-squad\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n3102.22\n\n | \n\n0.69\n\n | \n\n0.7\n\n | \n\n$0.068\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ndistilbert-base-uncased\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n3098.39\n\n | \n\n0.64\n\n | \n\n0.7\n\n | \n\n$0.068\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ngoogle/electra-base-discriminator\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n1968.69\n\n | \n\n1.01\n\n | \n\n1.08\n\n | \n\n$0.107\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ngpt2\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n1981.38\n\n | \n\n1.0\n\n | \n\n1.07\n\n | \n\n$0.106\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ngpt2-large\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.48xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n326.17\n\n | \n\n6.12\n\n | \n\n6.21\n\n | \n\n$11.055\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\ngpt2-medium\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n737.3\n\n | \n\n2.7\n\n | \n\n2.79\n\n | \n\n$0.286\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nroberta-base\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n1950.42\n\n | \n\n1.02\n\n | \n\n1.1\n\n | \n\n$0.108\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nroberta-large\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n709.55\n\n | \n\n2.81\n\n | \n\n2.89\n\n | \n\n$0.297\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n| \n\nxlm-roberta-base\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.48xlarge\n\n | \n\nRaw Output (AutoModel)\n\n | \n\n35.64\n\n | \n\n50.34\n\n | \n\n65.41\n\n | \n\n$101.174\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\n128\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n | \n\nU22\n\n |\n\n## [Large Language Models Inference Performance](#id3)[#](#large-language-models-inference-performance \"Permalink to this headline\")\n\nThroughput optimized\n\n \n| \nModel\n\n | \n\nScripts\n\n | \n\nFramework\n\n | \n\nInst. Type\n\n | \n\nTask\n\n | \n\nThroughput (tokens/second)\n\n | \n\nLatency per Token P50 (ms)\n\n | \n\nLatency per Token P99 (ms)\n\n | \n\nCost per 1M inferences\n\n | \n\nApplication Type\n\n | \n\nNeuron Version\n\n | \n\nRun Mode\n\n | \n\nTP Degree\n\n | \n\nDP Degree\n\n | \n\nBatch Size\n\n | \n\nSequence Length\n\n | \n\nInput Length\n\n | \n\nOutput Length\n\n | \n\nModel Data Type\n\n | \n\nCompilation Autocast Data Type\n\n |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| \n\nLlama-2-13b\n\n | \n\n[Sample](https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/meta-llama-2-13b-sampling.ipynb)\n\n | \n\nTransformers Neuron\n\n | \n\nInf2.48xlarge\n\n | \n\nText Generation\n\n | \n\n122.4\n\n | \n\n8.2\n\n | \n\n8.3\n\n | \n\n$29.459\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nTensor Parallel\n\n | \n\n24\n\n | \n\n1\n\n | \n\n1\n\n | \n\n256\n\n | \n\n64\n\n | \n\n192\n\n | \n\nFP16\n\n | \n\nMatmult-BF16\n\n |\n| \n\nopt-13b\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/opt_benchmark.py)\n\n | \n\nTransformers Neuron\n\n | \n\nInf2.48xlarge\n\n | \n\nText Generation\n\n | \n\n3014.3\n\n | \n\n68.9\n\n | \n\n80.0\n\n | \n\n$1.196\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nTensor Parallel\n\n | \n\n8\n\n | \n\n1\n\n | \n\n256\n\n | \n\n128\n\n | \n\n9\n\n | \n\n119\n\n | \n\nFP16\n\n | \n\nMatmult-BF16\n\n |\n| \n\nopt-30b\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/opt_benchmark.py)\n\n | \n\nTransformers Neuron\n\n | \n\nInf2.48xlarge\n\n | \n\nText Generation\n\n | \n\n2023.7\n\n | \n\n110.9\n\n | \n\n117.8\n\n | \n\n$1.782\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nTensor Parallel\n\n | \n\n8\n\n | \n\n1\n\n | \n\n256\n\n | \n\n128\n\n | \n\n9\n\n | \n\n119\n\n | \n\nFP16\n\n | \n\nMatmult-BF16\n\n |\n| \n\nopt-66b\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/opt_benchmark.py)\n\n | \n\nTransformers Neuron\n\n | \n\nInf2.48xlarge\n\n | \n\nText Generation\n\n | \n\n1782.9\n\n | \n\n126.6\n\n | \n\n144.6\n\n | \n\n$2.022\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nTensor Parallel\n\n | \n\n24\n\n | \n\n1\n\n | \n\n256\n\n | \n\n128\n\n | \n\n9\n\n | \n\n119\n\n | \n\nFP16\n\n | \n\nMatmult-BF16\n\n |\n\nNote\n\n**Throughput (tokens/second)** counts both input and output tokens\n\n**Latency per Token** counts both input and output tokens\n\nLatency optimized\n\n \n| \nModel\n\n | \n\nScripts\n\n | \n\nFramework\n\n | \n\nInst. Type\n\n | \n\nTask\n\n | \n\nThroughput (tokens/second)\n\n | \n\nLatency per Token P50 (ms)\n\n | \n\nLatency per Token P99 (ms)\n\n | \n\nCost per 1M inferences\n\n | \n\nApplication Type\n\n | \n\nNeuron Version\n\n | \n\nRun Mode\n\n | \n\nTP Degree\n\n | \n\nDP Degree\n\n | \n\nBatch Size\n\n | \n\nSequence Length\n\n | \n\nInput Length\n\n | \n\nOutput Length\n\n | \n\nModel Data Type\n\n | \n\nCompilation Autocast Data Type\n\n |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| \n\nLlama-2-13b\n\n | \n\n[Sample](https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/meta-llama-2-13b-sampling.ipynb)\n\n | \n\nTransformers Neuron\n\n | \n\nInf2.48xlarge\n\n | \n\nText Generation\n\n | \n\n122.4\n\n | \n\n8.2\n\n | \n\n8.3\n\n | \n\n$29.459\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nTensor Parallel\n\n | \n\n24\n\n | \n\n1\n\n | \n\n1\n\n | \n\n256\n\n | \n\n64\n\n | \n\n192\n\n | \n\nFP16\n\n | \n\nMatmult-BF16\n\n |\n| \n\nopt-13b\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/opt_benchmark.py)\n\n | \n\nTransformers Neuron\n\n | \n\nInf2.48xlarge\n\n | \n\nText Generation\n\n | \n\n54.8\n\n | \n\n17.9\n\n | \n\n18.5\n\n | \n\n$65.800\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nTensor Parallel\n\n | \n\n8\n\n | \n\n1\n\n | \n\n1\n\n | \n\n2048\n\n | \n\n9\n\n | \n\n2039\n\n | \n\nFP16\n\n | \n\nMatmult-BF16\n\n |\n| \n\nopt-30b\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/opt_benchmark.py)\n\n | \n\nTransformers Neuron\n\n | \n\nInf2.48xlarge\n\n | \n\nText Generation\n\n | \n\n26.0\n\n | \n\n38.2\n\n | \n\n39.8\n\n | \n\n$138.686\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nTensor Parallel\n\n | \n\n8\n\n | \n\n1\n\n | \n\n1\n\n | \n\n2048\n\n | \n\n9\n\n | \n\n2039\n\n | \n\nFP16\n\n | \n\nMatmult-BF16\n\n |\n| \n\nopt-66b\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/opt_benchmark.py)\n\n | \n\nTransformers Neuron\n\n | \n\nInf2.48xlarge\n\n | \n\nText Generation\n\n | \n\n30.1\n\n | \n\n32.6\n\n | \n\n73.5\n\n | \n\n$119.795\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nTensor Parallel\n\n | \n\n24\n\n | \n\n1\n\n | \n\n1\n\n | \n\n2048\n\n | \n\n9\n\n | \n\n2039\n\n | \n\nFP16\n\n | \n\nMatmult-BF16\n\n |\n\nNote\n\n**Throughput (tokens/second)** counts both input and output tokens\n\n**Latency per Token** counts both input and output tokens\n\n## [Vision Models Inference Performance](#id4)[#](#vision-models-inference-performance \"Permalink to this headline\")\n\nThroughput optimized\n\n \n| \nModel\n\n | \n\nImage Size\n\n | \n\nScripts\n\n | \n\nFramework\n\n | \n\nInst. Type\n\n | \n\nTask\n\n | \n\nThroughput (inference/sec)\n\n | \n\nLatency P50 (ms)\n\n | \n\nLatency P99 (ms)\n\n | \n\nCost per 1M images\n\n | \n\nApplication Type\n\n | \n\nNeuron Version\n\n | \n\nRun Mode\n\n | \n\nBatch Size\n\n | \n\nModel Data Type\n\n | \n\nCompilation Autocast Data Type\n\n |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| \n\nStable Diffusion 1.5\n\n | \n\n512x512\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sd_15_512_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Generation\n\n | \n\n0.42\n\n | \n\n2383.7\n\n | \n\n2743.7\n\n | \n\n$501.323\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nStable Diffusion 2.1\n\n | \n\n512x512\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sd2_512_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Generation\n\n | \n\n0.56\n\n | \n\n1782.1\n\n | \n\n1992.1\n\n | \n\n$375.992\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32, BF16\n\n | \n\nMatmult-BF16\n\n |\n| \n\nStable Diffusion 2.1\n\n | \n\n768x768\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sd2_768_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Generation\n\n | \n\n0.17\n\n | \n\n5943.1\n\n | \n\n6607.0\n\n | \n\n$1,238.562\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nStable Diffusion XL Base\n\n | \n\n1024x1024\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sdxl_base_1024_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Generation\n\n | \n\n0.07\n\n | \n\n14919.73\n\n | \n\n16639.5\n\n | \n\n$3,007.937\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nStable Diffusion XL Base & Refiner\n\n | \n\n1024x1024\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sdxl_base_and_refiner_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Generation\n\n | \n\n0.08\n\n | \n\n13007.9\n\n | \n\n14895.1\n\n | \n\n$2,631.944\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nUNet\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/unet_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Segmentation\n\n | \n\n866.96\n\n | \n\n18.37\n\n | \n\n18.86\n\n | \n\n$0.243\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n4\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\ndeepmind/multimodal-perceiver\n\n | \n\n16x224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-multimodal_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nMultimodal Autoencoding\n\n | \n\n0.85\n\n | \n\n1255.36\n\n | \n\n1277.71\n\n | \n\n$247.712\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nNone\n\n |\n| \n\ndeepmind/vision-perceiver-conv\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-vision_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n112.23\n\n | \n\n17.26\n\n | \n\n21.76\n\n | \n\n$1.876\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\ndeepmind/vision-perceiver-fourier\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-vision_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n62.94\n\n | \n\n59.48\n\n | \n\n66.74\n\n | \n\n$3.345\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\ndeepmind/vision-perceiver-learned\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-vision_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n86.68\n\n | \n\n44.53\n\n | \n\n62.59\n\n | \n\n$2.429\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\ngoogle/vit-base-patch16-224\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/hf-google-vit_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n1632.36\n\n | \n\n4.72\n\n | \n\n5.9\n\n | \n\n$0.129\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n2\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nopenai/clip-vit-base-patch32\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/hf-openai-clip_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n5178.83\n\n | \n\n48.97\n\n | \n\n57.0\n\n | \n\n$0.041\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n64\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nopenai/clip-vit-large-patch14\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/hf-openai-clip_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n201.0\n\n | \n\n78.33\n\n | \n\n92.45\n\n | \n\n$1.048\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n4\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nresnet101\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n3066.24\n\n | \n\n83.38\n\n | \n\n83.56\n\n | \n\n$0.069\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n64\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nresnet152\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n2323.2\n\n | \n\n110.06\n\n | \n\n110.21\n\n | \n\n$0.091\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n64\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nresnet18\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n6635.04\n\n | \n\n4.8\n\n | \n\n4.88\n\n | \n\n$0.032\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n8\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nresnet34\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n4848.72\n\n | \n\n6.56\n\n | \n\n6.66\n\n | \n\n$0.043\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n8\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nresnet50\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n4269.12\n\n | \n\n7.49\n\n | \n\n7.55\n\n | \n\n$0.049\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n8\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nvgg11\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/vgg_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n3955.2\n\n | \n\n64.15\n\n | \n\n64.24\n\n | \n\n$0.053\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n64\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nvgg16\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/vgg_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n1964.16\n\n | \n\n16.27\n\n | \n\n16.35\n\n | \n\n$0.107\n\n | \n\nBatch\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n8\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n\nNote\n\n**Cost per 1M images** is calculated using On-Demand hourly rate.\n\n**Real Time** application refers to batch size 1 inference for minimal latency. **Batch** application refers to maximum throughput with minimum cost-per-inference.\n\nLatency optimized\n\n \n| \nModel\n\n | \n\nImage Size\n\n | \n\nScripts\n\n | \n\nFramework\n\n | \n\nInst. Type\n\n | \n\nTask\n\n | \n\nThroughput (inference/sec)\n\n | \n\nLatency P50 (ms)\n\n | \n\nLatency P99 (ms)\n\n | \n\nCost per 1M images\n\n | \n\nApplication Type\n\n | \n\nNeuron Version\n\n | \n\nRun Mode\n\n | \n\nBatch Size\n\n | \n\nModel Data Type\n\n | \n\nCompilation Autocast Data Type\n\n |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| \n\nStable Diffusion 1.5\n\n | \n\n512x512\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sd_15_512_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Generation\n\n | \n\n0.42\n\n | \n\n2383.7\n\n | \n\n2743.7\n\n | \n\n$501.323\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nStable Diffusion 2.1\n\n | \n\n512x512\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sd2_512_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Generation\n\n | \n\n0.56\n\n | \n\n1782.1\n\n | \n\n1992.1\n\n | \n\n$375.992\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32, BF16\n\n | \n\nMatmult-BF16\n\n |\n| \n\nStable Diffusion 2.1\n\n | \n\n768x768\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sd2_768_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Generation\n\n | \n\n0.17\n\n | \n\n5943.1\n\n | \n\n6607.0\n\n | \n\n$1,238.562\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nStable Diffusion XL Base\n\n | \n\n1024x1024\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sdxl_base_1024_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Generation\n\n | \n\n0.07\n\n | \n\n14919.73\n\n | \n\n16639.5\n\n | \n\n$3,007.937\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nStable Diffusion XL Base & Refiner\n\n | \n\n1024x1024\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sdxl_base_and_refiner_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Generation\n\n | \n\n0.08\n\n | \n\n13007.9\n\n | \n\n14895.1\n\n | \n\n$2,631.944\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nUNet\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/unet_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Segmentation\n\n | \n\n420.16\n\n | \n\n2.37\n\n | \n\n2.41\n\n | \n\n$0.501\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\ndeepmind/multimodal-perceiver\n\n | \n\n16x224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-multimodal_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nMultimodal Autoencoding\n\n | \n\n0.85\n\n | \n\n1255.36\n\n | \n\n1277.71\n\n | \n\n$247.712\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nNone\n\n |\n| \n\ndeepmind/vision-perceiver-conv\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-vision_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n71.51\n\n | \n\n14.4\n\n | \n\n14.5\n\n | \n\n$2.944\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\ndeepmind/vision-perceiver-fourier\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-vision_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n33.97\n\n | \n\n30.15\n\n | \n\n30.2\n\n | \n\n$6.198\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\ndeepmind/vision-perceiver-learned\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-vision_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n52.59\n\n | \n\n20.8\n\n | \n\n20.9\n\n | \n\n$4.004\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\ngoogle/vit-base-patch16-224\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/hf-google-vit_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n709.47\n\n | \n\n1.41\n\n | \n\n1.43\n\n | \n\n$0.297\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nopenai/clip-vit-base-patch32\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/hf-openai-clip_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n163.44\n\n | \n\n6.11\n\n | \n\n6.14\n\n | \n\n$1.288\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nopenai/clip-vit-large-patch14\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/hf-openai-clip_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n61.81\n\n | \n\n16.17\n\n | \n\n16.22\n\n | \n\n$3.406\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nresnet101\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n882.61\n\n | \n\n1.13\n\n | \n\n1.15\n\n | \n\n$0.239\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nresnet152\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n736.91\n\n | \n\n1.35\n\n | \n\n1.39\n\n | \n\n$0.286\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nresnet18\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n1385.04\n\n | \n\n0.72\n\n | \n\n0.75\n\n | \n\n$0.152\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nresnet34\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n1187.64\n\n | \n\n0.83\n\n | \n\n0.88\n\n | \n\n$0.177\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nresnet50\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n1044.93\n\n | \n\n0.95\n\n | \n\n0.98\n\n | \n\n$0.202\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nvgg11\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/vgg_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n524.1\n\n | \n\n1.9\n\n | \n\n1.96\n\n | \n\n$0.402\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n| \n\nvgg16\n\n | \n\n224x224\n\n | \n\n[Benchmark](https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/vgg_benchmark.py)\n\n | \n\nPyTorch 1.13.1\n\n | \n\nInf2.xlarge\n\n | \n\nImage Classification\n\n | \n\n435.54\n\n | \n\n2.29\n\n | \n\n2.33\n\n | \n\n$0.483\n\n | \n\nReal Time\n\n | \n\n2.14.0\n\n | \n\nData Parallel\n\n | \n\n1\n\n | \n\nFP32\n\n | \n\nMatmult-BF16\n\n |\n\nNote\n\n**Cost per 1M images** is calculated using On-Demand hourly rate.\n\n**Real Time** application refers to batch size 1 inference for minimal latency. **Batch** application refers to maximum throughput with minimum cost-per-inference.\n\n_This document is relevant for_: `Inf2`"},"html":{"kind":"string","value":"<!DOCTYPE html><html lang=\"en\"><head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Inf2 Performance — AWS Neuron Documentation</title>\n \n <!-- Loaded before other Sphinx assets -->\n <link 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GitHub Samples\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../index.html\">\n Performance\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../../release-notes/index.html\">\n What’s New\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../announcements/index.html\">\n Announcements\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n ML Frameworks\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/index.html\">\n PyTorch Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-1\" name=\"toctree-checkbox-1\" type=\"checkbox\">\n <label for=\"toctree-checkbox-1\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-setup.html\">\n Pytorch Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/inference-torch-neuronx.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-2\" name=\"toctree-checkbox-2\" type=\"checkbox\">\n <label for=\"toctree-checkbox-2\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/inference/tutorials-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-3\" name=\"toctree-checkbox-3\" type=\"checkbox\">\n <label for=\"toctree-checkbox-3\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../src/examples/pytorch/torch-neuronx/bert-base-cased-finetuned-mrpc-inference-on-trn1-tutorial.html\">\n Compiling and Deploying HuggingFace Pretrained BERT on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/inference/tutorial-torchserve-neuronx.html\">\n BERT TorchServe Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorial-libtorch.html\">\n LibTorch C++ Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../src/examples/pytorch/torch-neuronx/resnet50-inference-on-trn1-tutorial.html\">\n Compiling and Deploying ResNet50 on Trn1 or Inf2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../src/examples/pytorch/torch-neuronx/t5-inference-tutorial.html\">\n T5 model inference on Trn1 or Inf2\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/additional-examples-inference-torch-neuronx.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-4\" name=\"toctree-checkbox-4\" type=\"checkbox\">\n <label for=\"toctree-checkbox-4\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/transformers-neuronx\">\n Transformers Neuron GitHub samples\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/inference-api-guide-torch-neuronx.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-5\" name=\"toctree-checkbox-5\" type=\"checkbox\">\n <label for=\"toctree-checkbox-5\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-trace.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Tracing API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) NeuronCore Placement APIs\n <strong>\n [Experimental]\n </strong>\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-analyze.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Analyze API for Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/inference/api-torch-neuronx-data-parallel.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) DataParallel API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-6\" name=\"toctree-checkbox-6\" type=\"checkbox\">\n <label for=\"toctree-checkbox-6\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/core-placement.html\">\n NeuronCore Allocation and Model Placement for Inference (\n <span class=\"xref std std-ref\">\n torch-neuronx\n </span>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/inference/trace-vs-xla-lazytensor.html\">\n Comparison of Traced Inference versus XLA\n <span class=\"xref std std-ref\">\n Lazy Tensor\n </span>\n Inference (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../appnotes/torch-neuronx/torch-neuronx-dataparallel-app-note.html\">\n Data Parallel Inference on torch_neuronx\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/misc-inference-torch-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-7\" name=\"toctree-checkbox-7\" type=\"checkbox\">\n <label for=\"toctree-checkbox-7\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/inference-torch-neuron.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-8\" name=\"toctree-checkbox-8\" type=\"checkbox\">\n <label for=\"toctree-checkbox-8\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-inference-torch-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-9\" name=\"toctree-checkbox-9\" type=\"checkbox\">\n <label for=\"toctree-checkbox-9\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-torch-neuron-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/tutorials/tutorials-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/additional-examples-inference-torch-neuron.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-10\" name=\"toctree-checkbox-10\" type=\"checkbox\">\n <label for=\"toctree-checkbox-10\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-reference-guide-torch-neuron.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-11\" name=\"toctree-checkbox-11\" type=\"checkbox\">\n <label for=\"toctree-checkbox-11\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-compilation-python-api.html\">\n PyTorch Neuron trace Python API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-torch-neuron-dataparallel-api.html\">\n torch.neuron.DataParallel API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/api-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement API [Experimental]\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/developer-guide-torch-neuron.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-12\" name=\"toctree-checkbox-12\" type=\"checkbox\">\n <label for=\"toctree-checkbox-12\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../appnotes/torch-neuron/bucketing-app-note.html\">\n Running Inference on Variable Input Shapes with Bucketing\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../appnotes/torch-neuron/torch-neuron-dataparallel-app-note.html\">\n Data Parallel Inference on PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/guides/torch-lstm-support.html\">\n Developer Guide - PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n <code class=\"xref py py-class docutils literal notranslate\">\n <span class=\"pre\">\n LSTM\n </span>\n </code>\n Support\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/guides/core-placement/torch-core-placement.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Core Placement\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/misc-inference-torch-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-13\" name=\"toctree-checkbox-13\" type=\"checkbox\">\n <label for=\"toctree-checkbox-13\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-pytorch.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuron/troubleshooting-guide.html\">\n Troubleshooting Guide for PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuron/torch-neuron.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuron\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/training-torch-neuronx.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-14\" name=\"toctree-checkbox-14\" type=\"checkbox\">\n <label for=\"toctree-checkbox-14\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/tutorials-training-torch-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-15\" name=\"toctree-checkbox-15\" type=\"checkbox\">\n <label for=\"toctree-checkbox-15\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/bert.html\">\n Hugging Face BERT Pretraining Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/mlp.html\">\n Multi-Layer Perceptron Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html\">\n PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/finetune_t5.html\">\n Fine-tune T5 model on Trn1\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/zero1_gpt2.html\">\n ZeRO-1 Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/tutorials/training/analyze_for_training.html\">\n Analyze for Training Tutorial\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/additional-examples-training.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-16\" name=\"toctree-checkbox-16\" type=\"checkbox\">\n <label for=\"toctree-checkbox-16\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/neuronx-nemo-megatron\">\n AWS Neuron Reference for Nemo Megatron GitHub Repository\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-eks-samples\">\n AWS Neuron Samples for EKS\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-parallelcluster-samples\">\n AWS Neuron Samples for AWS ParallelCluster\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/torch-neuronx/training\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/index.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-17\" name=\"toctree-checkbox-17\" type=\"checkbox\">\n <label for=\"toctree-checkbox-17\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/pytorch-neuron-parallel-compile.html\">\n PyTorch Neuron neuron_parallel_compile CLI (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/training/torch-neuron-envvars.html\">\n PyTorch Neuron Environment Variables (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../arch/neuron-features/neuron-caching.html\">\n Neuron Persistent Cache\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/api-reference-guide/torch-neuronx-profiling-api.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) Profiling API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/index.html\">\n Developer Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-18\" name=\"toctree-checkbox-18\" type=\"checkbox\">\n <label for=\"toctree-checkbox-18\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-programming-guide.html\">\n Developer Guide for Training with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/training/pytorch-neuron-debug.html\">\n How to debug models in PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/programming-guide/torch-neuronx-profiling-dev-guide.html\">\n Developer Guide for Profiling with PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/misc-training.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-19\" name=\"toctree-checkbox-19\" type=\"checkbox\">\n <label for=\"toctree-checkbox-19\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/pytorch-neuron-supported-operators.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) - Supported Operators\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/setup-trn1-multi-node-execution.html\">\n How to prepare trn1.32xlarge for multi-node execution\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/torch/torch-neuronx/training-troubleshooting.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) for Training Troubleshooting Guide\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/torch/torch-neuronx/index.html\">\n PyTorch Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n torch-neuronx\n </span>\n </code>\n ) release notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/index.html\">\n TensorFlow Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-20\" name=\"toctree-checkbox-20\" type=\"checkbox\">\n <label for=\"toctree-checkbox-20\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-setup.html\">\n Tensorflow Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx-inference.html\">\n Inference (Inf2 & Trn1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-21\" name=\"toctree-checkbox-21\" type=\"checkbox\">\n <label for=\"toctree-checkbox-21\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorials-tensorflow-neuronx.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-22\" name=\"toctree-checkbox-22\" type=\"checkbox\">\n <label for=\"toctree-checkbox-22\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../src/examples/tensorflow/tensorflow-neuronx/tfneuronx-roberta-base-tutorial.html\">\n HuggingFace Roberta-Base\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tutorials/tutorial-tensorflowx-serving-NeuronRT-Visible-Cores.html\">\n Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-23\" name=\"toctree-checkbox-23\" type=\"checkbox\">\n <label for=\"toctree-checkbox-23\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tfneuronx-python-tracing-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tf-neuronx-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/tfnx-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuronx/misc-tensorflow-neuronx.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-24\" name=\"toctree-checkbox-24\" type=\"checkbox\">\n <label for=\"toctree-checkbox-24\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuronx/tensorflow-neuronx.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuronx\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron-inference.html\">\n Inference (Inf1)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-25\" name=\"toctree-checkbox-25\" type=\"checkbox\">\n <label for=\"toctree-checkbox-25\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-neuron.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-26\" name=\"toctree-checkbox-26\" type=\"checkbox\">\n <label for=\"toctree-checkbox-26\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-computervision.html\">\n Computer Vision Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-nlp.html\">\n Natural Language Processing (NLP) Tutorials\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tutorials/tutorials-tensorflow-utilizing-neuron-capabilities.html\">\n Utilizing Neuron Capabilities Tutorials\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/additional-examples.html\">\n Additional Examples\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-27\" name=\"toctree-checkbox-27\" type=\"checkbox\">\n <label for=\"toctree-checkbox-27\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/tree/master/tensorflow-neuron/inference\">\n AWS Neuron Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-28\" name=\"toctree-checkbox-28\" type=\"checkbox\">\n <label for=\"toctree-checkbox-28\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-tracing-python-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Tracing API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-tfn-analyze-model-api.html\">\n TensorFlow 2.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) analyze_model API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-compilation-python-api.html\">\n TensorFlow 1.x (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Compilation API\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/api-auto-replication-api.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n </code>\n ) Auto Multicore Replication (Experimental)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/misc-tensorflow-neuron.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-29\" name=\"toctree-checkbox-29\" type=\"checkbox\">\n <label for=\"toctree-checkbox-29\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tensorflow/tensorflow-neuron/tensorflow-neuron-v2.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/tensorflow-neuron/tensorflow2-accelerated-ops.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF2.x)\n </span>\n </code>\n ) Accelerated (torch-neuron) Python APIs and Graph Ops\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/neuron-cc-ops-tensorflow.html\">\n TensorFlow Neuron (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n tensorflow-neuron\n </span>\n <span class=\"pre\">\n (TF1.x)\n </span>\n </code>\n ) Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/tensorflow/training.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/index.html\">\n Apache MXNet (Incubating)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-30\" name=\"toctree-checkbox-30\" type=\"checkbox\">\n <label for=\"toctree-checkbox-30\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../frameworks/mxnet-neuron/mxnet-neuron-setup.html\">\n MXNet Neuron Setup\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" 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href=\"../../../libraries/nemo-megatron/index.html\">\n AWS Neuron Reference for NeMo Megatron\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n User Guide\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-runtime/index.html\">\n Neuron Runtime\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-46\" name=\"toctree-checkbox-46\" type=\"checkbox\">\n <label for=\"toctree-checkbox-46\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-runtime/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-47\" name=\"toctree-checkbox-47\" type=\"checkbox\">\n <label for=\"toctree-checkbox-47\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li 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</li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../compiler/neuronx-cc/misc-neuronx-cc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-54\" name=\"toctree-checkbox-54\" type=\"checkbox\">\n <label for=\"toctree-checkbox-54\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../compiler/neuronx-cc/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuronx-cc/index.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../compiler/neuron-cc.html\">\n Neuron Compiler for Inf1\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-55\" name=\"toctree-checkbox-55\" type=\"checkbox\">\n <label for=\"toctree-checkbox-55\">\n 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type=\"checkbox\">\n <label for=\"toctree-checkbox-57\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../appnotes/neuron-cc/mixed-precision.html\">\n Mixed precision and performance-accuracy tuning (\n <code class=\"docutils literal notranslate\">\n <span class=\"pre\">\n neuron-cc\n </span>\n </code>\n )\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../compiler/neuron-cc/misc-neuron-cc.html\">\n Misc\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-58\" name=\"toctree-checkbox-58\" type=\"checkbox\">\n <label for=\"toctree-checkbox-58\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../compiler/neuron-cc/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/compiler/neuron-cc/neuron-cc-ops/index.html\">\n Neuron Supported operators\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/index.html\">\n Neuron C++ Custom Operators\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-59\" name=\"toctree-checkbox-59\" type=\"checkbox\">\n <label for=\"toctree-checkbox-59\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/api-reference-guide/api-reference-guide.html\">\n API Reference Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-60\" name=\"toctree-checkbox-60\" type=\"checkbox\">\n <label 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class=\"reference internal\" href=\"../../../neuron-customops/tutorials/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-62\" name=\"toctree-checkbox-62\" type=\"checkbox\">\n <label for=\"toctree-checkbox-62\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-training.html\">\n Neuron Custom C++ Operators in MLP Training\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/tutorials/customop-mlp-perf-opt.html\">\n Neuron Custom C++ Operators Performance Optimization\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../neuron-customops/misc-customops.html\">\n Misc (Neuron Custom C++ Operators)\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-63\" name=\"toctree-checkbox-63\" type=\"checkbox\">\n <label for=\"toctree-checkbox-63\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/customcxxps/gpsimd-tools.html\">\n Neuron Custom C++ Tools Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/customcxxps/gpsimd-customop-lib.html\">\n Neuron Custom C++ Library Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/index.html\">\n Neuron Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-64\" name=\"toctree-checkbox-64\" type=\"checkbox\">\n <label for=\"toctree-checkbox-64\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" 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class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/neuron-sysfs-user-guide.html\">\n Neuron-Sysfs User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuron-sys-tools/nccom-test.html\">\n NCCOM-TEST User Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/tools/aws-neuronx-tools.html\">\n What's New\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/tensorboard/index.html\">\n TensorBoard\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-66\" name=\"toctree-checkbox-66\" type=\"checkbox\">\n <label for=\"toctree-checkbox-66\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/tutorials/tutorial-tensorboard-scalars-mnist.html\">\n Track Training Progress in TensorBoard using PyTorch Neuron\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/tensorboard/getting-started-tensorboard-neuronx-plugin.html\">\n TensorBoard Plugin for Neuron (Trn1)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/tools/tensorboard-neuron.html\">\n What's New\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/tensorboard/getting-started-tensorboard-neuron-plugin.html\">\n TensorBoard Plugin for Neuron (Inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/helper-tools/index.html\">\n Helper Tools\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-67\" name=\"toctree-checkbox-67\" type=\"checkbox\">\n <label for=\"toctree-checkbox-67\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a 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class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_examples.html\">\n Examples\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_benchmark_guide.html\">\n Benchmark Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_evaluate_guide.html\">\n Evaluate Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_compile_guide.html\">\n Compile Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_model_index_guide.html\">\n Model Index Guide\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_api.html\">\n API\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_framework_notes.html\">\n Framework Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/neuronperf_troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../tools/neuronperf/rn.html\">\n What’s New\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-69\" name=\"toctree-checkbox-69\" type=\"checkbox\">\n <label for=\"toctree-checkbox-69\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/tools/neuronperf.html\">\n NeuronPerf 1.x Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../calculator/neuron-calculator.html\">\n Neuron Calculator\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../setup/index.html\">\n Setup Guide\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-70\" name=\"toctree-checkbox-70\" type=\"checkbox\">\n <label for=\"toctree-checkbox-70\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/torch-neuronx.html\">\n PyTorch Neuron (torch-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/torch-neuron.html\">\n PyTorch Neuron (torch-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/tensorflow-neuronx.html\">\n Tensorflow Neuron (tensorflow-neuronx)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/tensorflow-neuron.html\">\n Tensorflow Neuron (tensorflow-neuron)\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../setup/mxnet-neuron.html\">\n MxNet Neuron (mxnet-neuron)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/index.html\">\n Containers Deployment\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-71\" name=\"toctree-checkbox-71\" type=\"checkbox\">\n <label for=\"toctree-checkbox-71\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-72\" name=\"toctree-checkbox-72\" type=\"checkbox\">\n <label for=\"toctree-checkbox-72\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-73\" name=\"toctree-checkbox-73\" type=\"checkbox\">\n <label for=\"toctree-checkbox-73\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/tutorial-infer.html\">\n Run inference in pytorch neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/k8s_rn50_demo.html\">\n Deploy a TensorFlow Resnet50 model as a Kubernetes service\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/index.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-74\" name=\"toctree-checkbox-74\" type=\"checkbox\">\n <label for=\"toctree-checkbox-74\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/tutorial-training.html\">\n Run training in Pytorch Neuron container\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/k8s_mlp_train_demo.html\">\n Deploy a simple mlp training script as a Kubernetes job\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-75\" name=\"toctree-checkbox-75\" type=\"checkbox\">\n <label for=\"toctree-checkbox-75\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-76\" name=\"toctree-checkbox-76\" type=\"checkbox\">\n <label for=\"toctree-checkbox-76\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/index.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-77\" name=\"toctree-checkbox-77\" type=\"checkbox\">\n <label for=\"toctree-checkbox-77\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/index.html\">\n Deploy Containers with Neuron\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-78\" name=\"toctree-checkbox-78\" type=\"checkbox\">\n <label for=\"toctree-checkbox-78\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/locate-neuron-dlc-image.html\">\n Locate Neuron DLC Image\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/getting-started.html\">\n Getting Started\n </a>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../../containers/kubernetes-getting-started.html\">\n Kubernetes Getting Started\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials.html\">\n Tutorials\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-79\" name=\"toctree-checkbox-79\" type=\"checkbox\">\n <label for=\"toctree-checkbox-79\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/inference/index.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/tutorials/training/index.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/developerflows.html\">\n Developer Flows\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-80\" name=\"toctree-checkbox-80\" type=\"checkbox\">\n <label for=\"toctree-checkbox-80\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ec2-devflow.html\">\n Deploy Neuron Container on EC2\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-ecs-devflow.html\">\n Deploy Neuron Container on Elastic Container Service (ECS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/dlc-then-eks-devflow.html\">\n Deploy Neuron Container on Elastic Kubernetes Service (EKS)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/container-sm-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../../containers/faq-troubleshooting-releasenote.html\">\n FAQ, Troubleshooting and Release Note\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-81\" name=\"toctree-checkbox-81\" type=\"checkbox\">\n <label for=\"toctree-checkbox-81\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../containers/troubleshooting.html\">\n Troubleshooting Neuron Containers\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-containers.html\">\n Neuron Containers Release Notes\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../../release-notes/containers/neuron-k8.html\">\n Neuron K8 Release Notes\n </a>\n </li>\n </ul>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/ec2-flows.html\">\n AWS EC2\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-82\" name=\"toctree-checkbox-82\" type=\"checkbox\">\n <label for=\"toctree-checkbox-82\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/ec2-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-83\" name=\"toctree-checkbox-83\" type=\"checkbox\">\n <label for=\"toctree-checkbox-83\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n 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href=\"../../devflows/training/ecs-flows.html\">\n Training\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/sagemaker-flows.html\">\n Sagemaker\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-89\" name=\"toctree-checkbox-89\" type=\"checkbox\">\n <label for=\"toctree-checkbox-89\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/inference/sagemaker-flows.html\">\n Inference\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-90\" name=\"toctree-checkbox-90\" type=\"checkbox\">\n <label for=\"toctree-checkbox-90\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/byoc-hosting-devflow-inf2.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf2 or trn1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/byoc-hosting-devflow.html\">\n Bring Your Own Neuron Container to Sagemaker Hosting (inf1)\n </a>\n </li>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/inference/neo-then-hosting-devflow.html\">\n Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1)\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/training/sagemaker-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-91\" name=\"toctree-checkbox-91\" type=\"checkbox\">\n <label for=\"toctree-checkbox-91\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l4\">\n <a class=\"reference internal\" href=\"../../devflows/training/sm-devflow/sm-training-devflow.html\">\n Train your model on SageMaker\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l3\">\n <a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sagemaker-samples\">\n AWS Neuron Sagemaker Samples GitHub Repository\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l2 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/parallelcluster-flows.html\">\n Parallel Cluster\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-92\" name=\"toctree-checkbox-92\" type=\"checkbox\">\n <label for=\"toctree-checkbox-92\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l3\">\n <a class=\"reference internal\" href=\"../../devflows/inference/parallelcluster-flows.html\">\n Inference\n </a>\n </li>\n <li class=\"toctree-l3 has-children\">\n <a class=\"reference internal\" href=\"../../devflows/training/parallelcluster-flows.html\">\n Training\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-93\" name=\"toctree-checkbox-93\" type=\"checkbox\">\n <label 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</li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n Learning Neuron\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../arch/index.html\">\n Architecture\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-95\" name=\"toctree-checkbox-95\" type=\"checkbox\">\n <label for=\"toctree-checkbox-95\">\n <i class=\"fas fa-chevron-down\">\n </i>\n </label>\n <ul>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inf1-arch.html\">\n AWS Inf1 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/trn1-arch.html\">\n AWS Trn1/Trn1n Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../arch/neuron-hardware/inf2-arch.html\">\n AWS Inf2 Architecture\n </a>\n </li>\n <li class=\"toctree-l2\">\n 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on Inf1\n </a>\n </li>\n <li class=\"toctree-l2\">\n <a class=\"reference internal\" href=\"../../appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html\">\n Generative LLM inference with Neuron\n </a>\n </li>\n </ul>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../faq.html\">\n FAQ\n </a>\n </li>\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../troubleshooting.html\">\n Troubleshooting\n </a>\n </li>\n</ul>\n<p aria-level=\"2\" class=\"caption\" role=\"heading\">\n <span class=\"caption-text\">\n About Neuron\n </span>\n</p>\n<ul class=\"nav bd-sidenav\">\n <li class=\"toctree-l1\">\n <a class=\"reference internal\" href=\"../../../release-notes/release.html\">\n Release Details\n </a>\n </li>\n <li class=\"toctree-l1 has-children\">\n <a class=\"reference internal\" href=\"../../roadmap-readme.html\">\n Roadmap\n </a>\n <input class=\"toctree-checkbox\" id=\"toctree-checkbox-98\" 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class=\"headerbtn__icon-container\">\n <i class=\"fas fa-list\"></i>\n </span>\n\n</label>\n\n </div>\n</div>\n\n<!-- Table of contents -->\n<div class=\"col-md-3 bd-toc show noprint\">\n <div class=\"tocsection onthispage pt-5 pb-3\">\n <i class=\"fas fa-list\"></i> Contents\n </div>\n <nav id=\"bd-toc-nav\" aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#language-models-inference-performance\">\n Language Models Inference Performance\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#large-language-models-inference-performance\">\n Large Language Models Inference Performance\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#vision-models-inference-performance\">\n Vision Models Inference Performance\n </a>\n </li>\n</ul>\n\n </nav>\n</div>\n </div>\n <div class=\"article row\">\n <div class=\"col pl-md-3 pl-lg-5 content-container\">\n <!-- Table of contents that is only displayed when printing the page -->\n <div id=\"jb-print-docs-body\" class=\"onlyprint\">\n <h1>Inf2 Performance</h1>\n <!-- Table of contents -->\n <div id=\"print-main-content\">\n <div id=\"jb-print-toc\">\n \n <div>\n <h2> Contents </h2>\n </div>\n <nav aria-label=\"Page\">\n <ul class=\"visible nav section-nav flex-column\">\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#language-models-inference-performance\">\n Language Models Inference Performance\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#large-language-models-inference-performance\">\n Large Language Models Inference Performance\n </a>\n </li>\n <li class=\"toc-h2 nav-item toc-entry\">\n <a class=\"reference internal nav-link\" href=\"#vision-models-inference-performance\">\n Vision Models Inference Performance\n </a>\n </li>\n</ul>\n\n </nav>\n </div>\n </div>\n </div>\n <main id=\"main-content\" role=\"main\">\n \n <div>\n <p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code></p>\n<div class=\"section\" id=\"inf2-performance\">\n<span id=\"id1\"></span><h1>Inf2 Performance<a class=\"headerlink\" href=\"#inf2-performance\" title=\"Permalink to this headline\">#</a></h1>\n<div class=\"contents local topic\" id=\"table-of-contents\">\n<p class=\"topic-title\">Table of contents</p>\n<ul class=\"simple\">\n<li><p><a class=\"reference internal\" href=\"#language-models-inference-performance\" id=\"id2\">Language Models Inference Performance</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#large-language-models-inference-performance\" id=\"id3\">Large Language Models Inference Performance</a></p></li>\n<li><p><a class=\"reference internal\" href=\"#vision-models-inference-performance\" id=\"id4\">Vision Models Inference Performance</a></p></li>\n</ul>\n</div>\n<p><em>Last update: September 15th, 2023</em></p>\n<div class=\"section\" id=\"language-models-inference-performance\">\n<span id=\"inf2-inference-perf\"></span><h2><a class=\"toc-backref\" href=\"#id2\">Language Models Inference Performance</a><a class=\"headerlink\" href=\"#language-models-inference-performance\" title=\"Permalink to this headline\">#</a></h2>\n<div class=\"sd-tab-set docutils\">\n<input checked=\"checked\" id=\"sd-tab-item-0\" name=\"sd-tab-set-0\" type=\"radio\">\n<label class=\"sd-tab-label\" for=\"sd-tab-item-0\">\nThroughput optimized</label><div class=\"sd-tab-content docutils\">\n<table class=\"table\">\n<colgroup>\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n</colgroup>\n<thead>\n<tr class=\"row-odd\"><th class=\"head\"><p>Model</p></th>\n<th class=\"head\"><p>Scripts</p></th>\n<th class=\"head\"><p>Framework</p></th>\n<th class=\"head\"><p>Inst. Type</p></th>\n<th class=\"head\"><p>Task</p></th>\n<th class=\"head\"><p>Throughput (inference/second)</p></th>\n<th class=\"head\"><p>Latency P50 (ms)</p></th>\n<th class=\"head\"><p>Latency P99 (ms)</p></th>\n<th class=\"head\"><p>Cost per 1M inferences</p></th>\n<th class=\"head\"><p>Application Type</p></th>\n<th class=\"head\"><p>Neuron Version</p></th>\n<th class=\"head\"><p>Run Mode</p></th>\n<th class=\"head\"><p>Batch Size</p></th>\n<th class=\"head\"><p>Sequence Length</p></th>\n<th class=\"head\"><p>Model Data Type</p></th>\n<th class=\"head\"><p>Compilation Autocast Data Type</p></th>\n<th class=\"head\"><p>OS Type</p></th>\n</tr>\n</thead>\n<tbody>\n<tr class=\"row-even\"><td><p>albert-base-v2</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>3025.78</p></td>\n<td><p>10.52</p></td>\n<td><p>10.9</p></td>\n<td><p>$0.070</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>16</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>bert-base-cased</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>2822.93</p></td>\n<td><p>11.08</p></td>\n<td><p>13.57</p></td>\n<td><p>$0.075</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>16</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>bert-base-cased-finetuned-mrpc</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Sequence Classification</p></td>\n<td><p>3318.35</p></td>\n<td><p>9.47</p></td>\n<td><p>11.87</p></td>\n<td><p>$0.063</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>16</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>bert-base-uncased</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>2862.04</p></td>\n<td><p>10.96</p></td>\n<td><p>12.65</p></td>\n<td><p>$0.074</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>16</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>bert-large-cased</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>847.4</p></td>\n<td><p>9.2</p></td>\n<td><p>12.05</p></td>\n<td><p>$0.248</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>4</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>bert-large-uncased</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>849.77</p></td>\n<td><p>18.64</p></td>\n<td><p>23.8</p></td>\n<td><p>$0.248</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>8</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>camembert-base</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>2901.54</p></td>\n<td><p>10.96</p></td>\n<td><p>11.43</p></td>\n<td><p>$0.073</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>16</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>distilbert-base-cased</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>5224.7</p></td>\n<td><p>6.03</p></td>\n<td><p>6.61</p></td>\n<td><p>$0.040</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>16</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>distilbert-base-cased-distilled-squad</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>5299.93</p></td>\n<td><p>5.97</p></td>\n<td><p>6.55</p></td>\n<td><p>$0.040</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>16</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>distilbert-base-uncased</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>5254.63</p></td>\n<td><p>6.01</p></td>\n<td><p>6.6</p></td>\n<td><p>$0.040</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>16</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>google/electra-base-discriminator</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>2945.94</p></td>\n<td><p>10.66</p></td>\n<td><p>11.72</p></td>\n<td><p>$0.071</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>16</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>gpt2</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>3094.11</p></td>\n<td><p>10.18</p></td>\n<td><p>11.13</p></td>\n<td><p>$0.068</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>16</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>gpt2-large</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.48xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>402.67</p></td>\n<td><p>40.1</p></td>\n<td><p>45.93</p></td>\n<td><p>$8.955</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>8</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>gpt2-medium</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>1009.97</p></td>\n<td><p>15.13</p></td>\n<td><p>19.09</p></td>\n<td><p>$0.208</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>8</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>roberta-base</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>2885.51</p></td>\n<td><p>11.0</p></td>\n<td><p>11.6</p></td>\n<td><p>$0.073</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>16</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>roberta-large</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>965.33</p></td>\n<td><p>16.1</p></td>\n<td><p>19.26</p></td>\n<td><p>$0.218</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>8</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>xlm-roberta-base</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.48xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>48.66</p></td>\n<td><p>649.81</p></td>\n<td><p>820.93</p></td>\n<td><p>$74.103</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>16</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n</tbody>\n</table>\n</div>\n<input id=\"sd-tab-item-1\" name=\"sd-tab-set-0\" type=\"radio\">\n<label class=\"sd-tab-label\" for=\"sd-tab-item-1\">\nLatency optimized</label><div class=\"sd-tab-content docutils\">\n<table class=\"table\">\n<colgroup>\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n</colgroup>\n<thead>\n<tr class=\"row-odd\"><th class=\"head\"><p>Model</p></th>\n<th class=\"head\"><p>Scripts</p></th>\n<th class=\"head\"><p>Framework</p></th>\n<th class=\"head\"><p>Inst. Type</p></th>\n<th class=\"head\"><p>Task</p></th>\n<th class=\"head\"><p>Throughput (inference/second)</p></th>\n<th class=\"head\"><p>Latency P50 (ms)</p></th>\n<th class=\"head\"><p>Latency P99 (ms)</p></th>\n<th class=\"head\"><p>Cost per 1M inferences</p></th>\n<th class=\"head\"><p>Application Type</p></th>\n<th class=\"head\"><p>Neuron Version</p></th>\n<th class=\"head\"><p>Run Mode</p></th>\n<th class=\"head\"><p>Batch Size</p></th>\n<th class=\"head\"><p>Sequence Length</p></th>\n<th class=\"head\"><p>Model Data Type</p></th>\n<th class=\"head\"><p>Compilation Autocast Data Type</p></th>\n<th class=\"head\"><p>OS Type</p></th>\n</tr>\n</thead>\n<tbody>\n<tr class=\"row-even\"><td><p>albert-base-v2</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>2057.27</p></td>\n<td><p>0.96</p></td>\n<td><p>1.04</p></td>\n<td><p>$0.102</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>bert-base-cased</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>1942.72</p></td>\n<td><p>1.02</p></td>\n<td><p>1.1</p></td>\n<td><p>$0.108</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>bert-base-cased-finetuned-mrpc</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Sequence Classification</p></td>\n<td><p>2062.41</p></td>\n<td><p>0.97</p></td>\n<td><p>0.99</p></td>\n<td><p>$0.102</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>bert-base-uncased</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>1950.12</p></td>\n<td><p>1.01</p></td>\n<td><p>1.09</p></td>\n<td><p>$0.108</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>bert-large-cased</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>704.26</p></td>\n<td><p>2.82</p></td>\n<td><p>3.04</p></td>\n<td><p>$0.299</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>bert-large-uncased</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>690.38</p></td>\n<td><p>2.83</p></td>\n<td><p>3.21</p></td>\n<td><p>$0.305</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>camembert-base</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>1946.72</p></td>\n<td><p>1.02</p></td>\n<td><p>1.1</p></td>\n<td><p>$0.108</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>distilbert-base-cased</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>3113.8</p></td>\n<td><p>0.65</p></td>\n<td><p>0.69</p></td>\n<td><p>$0.068</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>distilbert-base-cased-distilled-squad</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>3102.22</p></td>\n<td><p>0.69</p></td>\n<td><p>0.7</p></td>\n<td><p>$0.068</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>distilbert-base-uncased</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>3098.39</p></td>\n<td><p>0.64</p></td>\n<td><p>0.7</p></td>\n<td><p>$0.068</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>google/electra-base-discriminator</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>1968.69</p></td>\n<td><p>1.01</p></td>\n<td><p>1.08</p></td>\n<td><p>$0.107</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>gpt2</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>1981.38</p></td>\n<td><p>1.0</p></td>\n<td><p>1.07</p></td>\n<td><p>$0.106</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>gpt2-large</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.48xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>326.17</p></td>\n<td><p>6.12</p></td>\n<td><p>6.21</p></td>\n<td><p>$11.055</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>gpt2-medium</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>737.3</p></td>\n<td><p>2.7</p></td>\n<td><p>2.79</p></td>\n<td><p>$0.286</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>roberta-base</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>1950.42</p></td>\n<td><p>1.02</p></td>\n<td><p>1.1</p></td>\n<td><p>$0.108</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>roberta-large</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>709.55</p></td>\n<td><p>2.81</p></td>\n<td><p>2.89</p></td>\n<td><p>$0.297</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>xlm-roberta-base</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/inf2_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.48xlarge</p></td>\n<td><p>Raw Output (AutoModel)</p></td>\n<td><p>35.64</p></td>\n<td><p>50.34</p></td>\n<td><p>65.41</p></td>\n<td><p>$101.174</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>128</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n<td><p>U22</p></td>\n</tr>\n</tbody>\n</table>\n</div>\n</div>\n</div>\n<div class=\"section\" id=\"large-language-models-inference-performance\">\n<h2><a class=\"toc-backref\" href=\"#id3\">Large Language Models Inference Performance</a><a class=\"headerlink\" href=\"#large-language-models-inference-performance\" title=\"Permalink to this headline\">#</a></h2>\n<div class=\"sd-tab-set docutils\">\n<input checked=\"checked\" id=\"sd-tab-item-2\" name=\"sd-tab-set-1\" type=\"radio\">\n<label class=\"sd-tab-label\" for=\"sd-tab-item-2\">\nThroughput optimized</label><div class=\"sd-tab-content docutils\">\n<table class=\"table\">\n<colgroup>\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n</colgroup>\n<thead>\n<tr class=\"row-odd\"><th class=\"head\"><p>Model</p></th>\n<th class=\"head\"><p>Scripts</p></th>\n<th class=\"head\"><p>Framework</p></th>\n<th class=\"head\"><p>Inst. Type</p></th>\n<th class=\"head\"><p>Task</p></th>\n<th class=\"head\"><p>Throughput (tokens/second)</p></th>\n<th class=\"head\"><p>Latency per Token P50 (ms)</p></th>\n<th class=\"head\"><p>Latency per Token P99 (ms)</p></th>\n<th class=\"head\"><p>Cost per 1M inferences</p></th>\n<th class=\"head\"><p>Application Type</p></th>\n<th class=\"head\"><p>Neuron Version</p></th>\n<th class=\"head\"><p>Run Mode</p></th>\n<th class=\"head\"><p>TP Degree</p></th>\n<th class=\"head\"><p>DP Degree</p></th>\n<th class=\"head\"><p>Batch Size</p></th>\n<th class=\"head\"><p>Sequence Length</p></th>\n<th class=\"head\"><p>Input Length</p></th>\n<th class=\"head\"><p>Output Length</p></th>\n<th class=\"head\"><p>Model Data Type</p></th>\n<th class=\"head\"><p>Compilation Autocast Data Type</p></th>\n</tr>\n</thead>\n<tbody>\n<tr class=\"row-even\"><td><p>Llama-2-13b</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/meta-llama-2-13b-sampling.ipynb\">Sample</a></p></td>\n<td><p>Transformers Neuron</p></td>\n<td><p>Inf2.48xlarge</p></td>\n<td><p>Text Generation</p></td>\n<td><p>122.4</p></td>\n<td><p>8.2</p></td>\n<td><p>8.3</p></td>\n<td><p>$29.459</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Tensor Parallel</p></td>\n<td><p>24</p></td>\n<td><p>1</p></td>\n<td><p>1</p></td>\n<td><p>256</p></td>\n<td><p>64</p></td>\n<td><p>192</p></td>\n<td><p>FP16</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>opt-13b</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/opt_benchmark.py\">Benchmark</a></p></td>\n<td><p>Transformers Neuron</p></td>\n<td><p>Inf2.48xlarge</p></td>\n<td><p>Text Generation</p></td>\n<td><p>3014.3</p></td>\n<td><p>68.9</p></td>\n<td><p>80.0</p></td>\n<td><p>$1.196</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Tensor Parallel</p></td>\n<td><p>8</p></td>\n<td><p>1</p></td>\n<td><p>256</p></td>\n<td><p>128</p></td>\n<td><p>9</p></td>\n<td><p>119</p></td>\n<td><p>FP16</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>opt-30b</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/opt_benchmark.py\">Benchmark</a></p></td>\n<td><p>Transformers Neuron</p></td>\n<td><p>Inf2.48xlarge</p></td>\n<td><p>Text Generation</p></td>\n<td><p>2023.7</p></td>\n<td><p>110.9</p></td>\n<td><p>117.8</p></td>\n<td><p>$1.782</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Tensor Parallel</p></td>\n<td><p>8</p></td>\n<td><p>1</p></td>\n<td><p>256</p></td>\n<td><p>128</p></td>\n<td><p>9</p></td>\n<td><p>119</p></td>\n<td><p>FP16</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>opt-66b</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/opt_benchmark.py\">Benchmark</a></p></td>\n<td><p>Transformers Neuron</p></td>\n<td><p>Inf2.48xlarge</p></td>\n<td><p>Text Generation</p></td>\n<td><p>1782.9</p></td>\n<td><p>126.6</p></td>\n<td><p>144.6</p></td>\n<td><p>$2.022</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Tensor Parallel</p></td>\n<td><p>24</p></td>\n<td><p>1</p></td>\n<td><p>256</p></td>\n<td><p>128</p></td>\n<td><p>9</p></td>\n<td><p>119</p></td>\n<td><p>FP16</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n</tbody>\n</table>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p><strong>Throughput (tokens/second)</strong> counts both input and output tokens</p>\n<p><strong>Latency per Token</strong> counts both input and output tokens</p>\n</div>\n</div>\n<input id=\"sd-tab-item-3\" name=\"sd-tab-set-1\" type=\"radio\">\n<label class=\"sd-tab-label\" for=\"sd-tab-item-3\">\nLatency optimized</label><div class=\"sd-tab-content docutils\">\n<table class=\"table\">\n<colgroup>\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n<col style=\"width: 5%\">\n</colgroup>\n<thead>\n<tr class=\"row-odd\"><th class=\"head\"><p>Model</p></th>\n<th class=\"head\"><p>Scripts</p></th>\n<th class=\"head\"><p>Framework</p></th>\n<th class=\"head\"><p>Inst. Type</p></th>\n<th class=\"head\"><p>Task</p></th>\n<th class=\"head\"><p>Throughput (tokens/second)</p></th>\n<th class=\"head\"><p>Latency per Token P50 (ms)</p></th>\n<th class=\"head\"><p>Latency per Token P99 (ms)</p></th>\n<th class=\"head\"><p>Cost per 1M inferences</p></th>\n<th class=\"head\"><p>Application Type</p></th>\n<th class=\"head\"><p>Neuron Version</p></th>\n<th class=\"head\"><p>Run Mode</p></th>\n<th class=\"head\"><p>TP Degree</p></th>\n<th class=\"head\"><p>DP Degree</p></th>\n<th class=\"head\"><p>Batch Size</p></th>\n<th class=\"head\"><p>Sequence Length</p></th>\n<th class=\"head\"><p>Input Length</p></th>\n<th class=\"head\"><p>Output Length</p></th>\n<th class=\"head\"><p>Model Data Type</p></th>\n<th class=\"head\"><p>Compilation Autocast Data Type</p></th>\n</tr>\n</thead>\n<tbody>\n<tr class=\"row-even\"><td><p>Llama-2-13b</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/transformers-neuronx/inference/meta-llama-2-13b-sampling.ipynb\">Sample</a></p></td>\n<td><p>Transformers Neuron</p></td>\n<td><p>Inf2.48xlarge</p></td>\n<td><p>Text Generation</p></td>\n<td><p>122.4</p></td>\n<td><p>8.2</p></td>\n<td><p>8.3</p></td>\n<td><p>$29.459</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Tensor Parallel</p></td>\n<td><p>24</p></td>\n<td><p>1</p></td>\n<td><p>1</p></td>\n<td><p>256</p></td>\n<td><p>64</p></td>\n<td><p>192</p></td>\n<td><p>FP16</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>opt-13b</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/opt_benchmark.py\">Benchmark</a></p></td>\n<td><p>Transformers Neuron</p></td>\n<td><p>Inf2.48xlarge</p></td>\n<td><p>Text Generation</p></td>\n<td><p>54.8</p></td>\n<td><p>17.9</p></td>\n<td><p>18.5</p></td>\n<td><p>$65.800</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Tensor Parallel</p></td>\n<td><p>8</p></td>\n<td><p>1</p></td>\n<td><p>1</p></td>\n<td><p>2048</p></td>\n<td><p>9</p></td>\n<td><p>2039</p></td>\n<td><p>FP16</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>opt-30b</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/opt_benchmark.py\">Benchmark</a></p></td>\n<td><p>Transformers Neuron</p></td>\n<td><p>Inf2.48xlarge</p></td>\n<td><p>Text Generation</p></td>\n<td><p>26.0</p></td>\n<td><p>38.2</p></td>\n<td><p>39.8</p></td>\n<td><p>$138.686</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Tensor Parallel</p></td>\n<td><p>8</p></td>\n<td><p>1</p></td>\n<td><p>1</p></td>\n<td><p>2048</p></td>\n<td><p>9</p></td>\n<td><p>2039</p></td>\n<td><p>FP16</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>opt-66b</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/opt_benchmark.py\">Benchmark</a></p></td>\n<td><p>Transformers Neuron</p></td>\n<td><p>Inf2.48xlarge</p></td>\n<td><p>Text Generation</p></td>\n<td><p>30.1</p></td>\n<td><p>32.6</p></td>\n<td><p>73.5</p></td>\n<td><p>$119.795</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Tensor Parallel</p></td>\n<td><p>24</p></td>\n<td><p>1</p></td>\n<td><p>1</p></td>\n<td><p>2048</p></td>\n<td><p>9</p></td>\n<td><p>2039</p></td>\n<td><p>FP16</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n</tbody>\n</table>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p><strong>Throughput (tokens/second)</strong> counts both input and output tokens</p>\n<p><strong>Latency per Token</strong> counts both input and output tokens</p>\n</div>\n</div>\n</div>\n</div>\n<div class=\"section\" id=\"vision-models-inference-performance\">\n<h2><a class=\"toc-backref\" href=\"#id4\">Vision Models Inference Performance</a><a class=\"headerlink\" href=\"#vision-models-inference-performance\" title=\"Permalink to this headline\">#</a></h2>\n<div class=\"sd-tab-set docutils\">\n<input checked=\"checked\" id=\"sd-tab-item-4\" name=\"sd-tab-set-2\" type=\"radio\">\n<label class=\"sd-tab-label\" for=\"sd-tab-item-4\">\nThroughput optimized</label><div class=\"sd-tab-content docutils\">\n<table class=\"table\">\n<colgroup>\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n</colgroup>\n<thead>\n<tr class=\"row-odd\"><th class=\"head\"><p>Model</p></th>\n<th class=\"head\"><p>Image Size</p></th>\n<th class=\"head\"><p>Scripts</p></th>\n<th class=\"head\"><p>Framework</p></th>\n<th class=\"head\"><p>Inst. Type</p></th>\n<th class=\"head\"><p>Task</p></th>\n<th class=\"head\"><p>Throughput (inference/sec)</p></th>\n<th class=\"head\"><p>Latency P50 (ms)</p></th>\n<th class=\"head\"><p>Latency P99 (ms)</p></th>\n<th class=\"head\"><p>Cost per 1M images</p></th>\n<th class=\"head\"><p>Application Type</p></th>\n<th class=\"head\"><p>Neuron Version</p></th>\n<th class=\"head\"><p>Run Mode</p></th>\n<th class=\"head\"><p>Batch Size</p></th>\n<th class=\"head\"><p>Model Data Type</p></th>\n<th class=\"head\"><p>Compilation Autocast Data Type</p></th>\n</tr>\n</thead>\n<tbody>\n<tr class=\"row-even\"><td><p>Stable Diffusion 1.5</p></td>\n<td><p>512x512</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sd_15_512_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Generation</p></td>\n<td><p>0.42</p></td>\n<td><p>2383.7</p></td>\n<td><p>2743.7</p></td>\n<td><p>$501.323</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>Stable Diffusion 2.1</p></td>\n<td><p>512x512</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sd2_512_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Generation</p></td>\n<td><p>0.56</p></td>\n<td><p>1782.1</p></td>\n<td><p>1992.1</p></td>\n<td><p>$375.992</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32, BF16</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>Stable Diffusion 2.1</p></td>\n<td><p>768x768</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sd2_768_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Generation</p></td>\n<td><p>0.17</p></td>\n<td><p>5943.1</p></td>\n<td><p>6607.0</p></td>\n<td><p>$1,238.562</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>Stable Diffusion XL Base</p></td>\n<td><p>1024x1024</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sdxl_base_1024_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Generation</p></td>\n<td><p>0.07</p></td>\n<td><p>14919.73</p></td>\n<td><p>16639.5</p></td>\n<td><p>$3,007.937</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>Stable Diffusion XL Base & Refiner</p></td>\n<td><p>1024x1024</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sdxl_base_and_refiner_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Generation</p></td>\n<td><p>0.08</p></td>\n<td><p>13007.9</p></td>\n<td><p>14895.1</p></td>\n<td><p>$2,631.944</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>UNet</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/unet_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Segmentation</p></td>\n<td><p>866.96</p></td>\n<td><p>18.37</p></td>\n<td><p>18.86</p></td>\n<td><p>$0.243</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>4</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>deepmind/multimodal-perceiver</p></td>\n<td><p>16x224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-multimodal_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Multimodal Autoencoding</p></td>\n<td><p>0.85</p></td>\n<td><p>1255.36</p></td>\n<td><p>1277.71</p></td>\n<td><p>$247.712</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>None</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>deepmind/vision-perceiver-conv</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-vision_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>112.23</p></td>\n<td><p>17.26</p></td>\n<td><p>21.76</p></td>\n<td><p>$1.876</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>deepmind/vision-perceiver-fourier</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-vision_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>62.94</p></td>\n<td><p>59.48</p></td>\n<td><p>66.74</p></td>\n<td><p>$3.345</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>deepmind/vision-perceiver-learned</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-vision_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>86.68</p></td>\n<td><p>44.53</p></td>\n<td><p>62.59</p></td>\n<td><p>$2.429</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>google/vit-base-patch16-224</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/hf-google-vit_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>1632.36</p></td>\n<td><p>4.72</p></td>\n<td><p>5.9</p></td>\n<td><p>$0.129</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>2</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>openai/clip-vit-base-patch32</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/hf-openai-clip_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>5178.83</p></td>\n<td><p>48.97</p></td>\n<td><p>57.0</p></td>\n<td><p>$0.041</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>64</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>openai/clip-vit-large-patch14</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/hf-openai-clip_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>201.0</p></td>\n<td><p>78.33</p></td>\n<td><p>92.45</p></td>\n<td><p>$1.048</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>4</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>resnet101</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>3066.24</p></td>\n<td><p>83.38</p></td>\n<td><p>83.56</p></td>\n<td><p>$0.069</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>64</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>resnet152</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>2323.2</p></td>\n<td><p>110.06</p></td>\n<td><p>110.21</p></td>\n<td><p>$0.091</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>64</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>resnet18</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>6635.04</p></td>\n<td><p>4.8</p></td>\n<td><p>4.88</p></td>\n<td><p>$0.032</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>8</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>resnet34</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>4848.72</p></td>\n<td><p>6.56</p></td>\n<td><p>6.66</p></td>\n<td><p>$0.043</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>8</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>resnet50</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>4269.12</p></td>\n<td><p>7.49</p></td>\n<td><p>7.55</p></td>\n<td><p>$0.049</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>8</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>vgg11</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/vgg_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>3955.2</p></td>\n<td><p>64.15</p></td>\n<td><p>64.24</p></td>\n<td><p>$0.053</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>64</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>vgg16</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/vgg_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>1964.16</p></td>\n<td><p>16.27</p></td>\n<td><p>16.35</p></td>\n<td><p>$0.107</p></td>\n<td><p>Batch</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>8</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n</tbody>\n</table>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p><strong>Cost per 1M images</strong> is calculated using On-Demand hourly rate.</p>\n<p><strong>Real Time</strong> application refers to batch size 1 inference for minimal latency. <strong>Batch</strong> application refers to maximum throughput with minimum cost-per-inference.</p>\n</div>\n</div>\n<input id=\"sd-tab-item-5\" name=\"sd-tab-set-2\" type=\"radio\">\n<label class=\"sd-tab-label\" for=\"sd-tab-item-5\">\nLatency optimized</label><div class=\"sd-tab-content docutils\">\n<table class=\"table\">\n<colgroup>\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n<col style=\"width: 6%\">\n</colgroup>\n<thead>\n<tr class=\"row-odd\"><th class=\"head\"><p>Model</p></th>\n<th class=\"head\"><p>Image Size</p></th>\n<th class=\"head\"><p>Scripts</p></th>\n<th class=\"head\"><p>Framework</p></th>\n<th class=\"head\"><p>Inst. Type</p></th>\n<th class=\"head\"><p>Task</p></th>\n<th class=\"head\"><p>Throughput (inference/sec)</p></th>\n<th class=\"head\"><p>Latency P50 (ms)</p></th>\n<th class=\"head\"><p>Latency P99 (ms)</p></th>\n<th class=\"head\"><p>Cost per 1M images</p></th>\n<th class=\"head\"><p>Application Type</p></th>\n<th class=\"head\"><p>Neuron Version</p></th>\n<th class=\"head\"><p>Run Mode</p></th>\n<th class=\"head\"><p>Batch Size</p></th>\n<th class=\"head\"><p>Model Data Type</p></th>\n<th class=\"head\"><p>Compilation Autocast Data Type</p></th>\n</tr>\n</thead>\n<tbody>\n<tr class=\"row-even\"><td><p>Stable Diffusion 1.5</p></td>\n<td><p>512x512</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sd_15_512_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Generation</p></td>\n<td><p>0.42</p></td>\n<td><p>2383.7</p></td>\n<td><p>2743.7</p></td>\n<td><p>$501.323</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>Stable Diffusion 2.1</p></td>\n<td><p>512x512</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sd2_512_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Generation</p></td>\n<td><p>0.56</p></td>\n<td><p>1782.1</p></td>\n<td><p>1992.1</p></td>\n<td><p>$375.992</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32, BF16</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>Stable Diffusion 2.1</p></td>\n<td><p>768x768</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sd2_768_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Generation</p></td>\n<td><p>0.17</p></td>\n<td><p>5943.1</p></td>\n<td><p>6607.0</p></td>\n<td><p>$1,238.562</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>Stable Diffusion XL Base</p></td>\n<td><p>1024x1024</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sdxl_base_1024_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Generation</p></td>\n<td><p>0.07</p></td>\n<td><p>14919.73</p></td>\n<td><p>16639.5</p></td>\n<td><p>$3,007.937</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>Stable Diffusion XL Base & Refiner</p></td>\n<td><p>1024x1024</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/sdxl_base_and_refiner_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Generation</p></td>\n<td><p>0.08</p></td>\n<td><p>13007.9</p></td>\n<td><p>14895.1</p></td>\n<td><p>$2,631.944</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>UNet</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/unet_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Segmentation</p></td>\n<td><p>420.16</p></td>\n<td><p>2.37</p></td>\n<td><p>2.41</p></td>\n<td><p>$0.501</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>deepmind/multimodal-perceiver</p></td>\n<td><p>16x224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-multimodal_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Multimodal Autoencoding</p></td>\n<td><p>0.85</p></td>\n<td><p>1255.36</p></td>\n<td><p>1277.71</p></td>\n<td><p>$247.712</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>None</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>deepmind/vision-perceiver-conv</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-vision_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>71.51</p></td>\n<td><p>14.4</p></td>\n<td><p>14.5</p></td>\n<td><p>$2.944</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>deepmind/vision-perceiver-fourier</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-vision_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>33.97</p></td>\n<td><p>30.15</p></td>\n<td><p>30.2</p></td>\n<td><p>$6.198</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>deepmind/vision-perceiver-learned</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/perceiver-vision_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>52.59</p></td>\n<td><p>20.8</p></td>\n<td><p>20.9</p></td>\n<td><p>$4.004</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>google/vit-base-patch16-224</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/hf-google-vit_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>709.47</p></td>\n<td><p>1.41</p></td>\n<td><p>1.43</p></td>\n<td><p>$0.297</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>openai/clip-vit-base-patch32</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/hf-openai-clip_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>163.44</p></td>\n<td><p>6.11</p></td>\n<td><p>6.14</p></td>\n<td><p>$1.288</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>openai/clip-vit-large-patch14</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/hf-openai-clip_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>61.81</p></td>\n<td><p>16.17</p></td>\n<td><p>16.22</p></td>\n<td><p>$3.406</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>resnet101</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>882.61</p></td>\n<td><p>1.13</p></td>\n<td><p>1.15</p></td>\n<td><p>$0.239</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>resnet152</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>736.91</p></td>\n<td><p>1.35</p></td>\n<td><p>1.39</p></td>\n<td><p>$0.286</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>resnet18</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>1385.04</p></td>\n<td><p>0.72</p></td>\n<td><p>0.75</p></td>\n<td><p>$0.152</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>resnet34</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>1187.64</p></td>\n<td><p>0.83</p></td>\n<td><p>0.88</p></td>\n<td><p>$0.177</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>resnet50</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/resnet_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>1044.93</p></td>\n<td><p>0.95</p></td>\n<td><p>0.98</p></td>\n<td><p>$0.202</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-even\"><td><p>vgg11</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/vgg_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>524.1</p></td>\n<td><p>1.9</p></td>\n<td><p>1.96</p></td>\n<td><p>$0.402</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n<tr class=\"row-odd\"><td><p>vgg16</p></td>\n<td><p>224x224</p></td>\n<td><p><a class=\"reference external\" href=\"https://github.com/aws-neuron/aws-neuron-sdk/blob/v2.14.1/src/benchmark/pytorch/vgg_benchmark.py\">Benchmark</a></p></td>\n<td><p>PyTorch 1.13.1</p></td>\n<td><p>Inf2.xlarge</p></td>\n<td><p>Image Classification</p></td>\n<td><p>435.54</p></td>\n<td><p>2.29</p></td>\n<td><p>2.33</p></td>\n<td><p>$0.483</p></td>\n<td><p>Real Time</p></td>\n<td><p>2.14.0</p></td>\n<td><p>Data Parallel</p></td>\n<td><p>1</p></td>\n<td><p>FP32</p></td>\n<td><p>Matmult-BF16</p></td>\n</tr>\n</tbody>\n</table>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p><strong>Cost per 1M images</strong> is calculated using On-Demand hourly rate.</p>\n<p><strong>Real Time</strong> application refers to batch size 1 inference for minimal latency. <strong>Batch</strong> application refers to maximum throughput with minimum cost-per-inference.</p>\n</div>\n</div>\n</div>\n<div class=\"admonition note\">\n<p class=\"admonition-title\">Note</p>\n<p>See <a class=\"reference internal\" href=\"../../arch/glossary.html#neuron-hw-glossary\"><span class=\"std std-ref\">Neuron Glossary</span></a> for abbreviations and terms</p>\n</div>\n<p><em>This document is relevant for</em>: <code class=\"docutils literal notranslate\"><span class=\"pre\">Inf2</span></code></p>\n</div>\n</div>\n\n<div class=\"section\">\n \n</div>\n\n </div>\n \n </main>\n <footer class=\"footer-article noprint\">\n \n <!-- Previous / next buttons -->\n<div class=\"prev-next-area\">\n</div>\n </footer>\n </div>\n </div>\n <div class=\"footer-content row\">\n <footer class=\"col footer\"><p>\n \n By AWS<br>\n \n © Copyright 2023, Amazon.com.<br>\n</p>\n </footer>\n </div>\n \n</div>\n\n\n </div>\n </div>\n \n <!-- Scripts loaded after <body> so the DOM is not blocked -->\n <script src=\"../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf\"></script>\n\n\n 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NeuronPerf FAQ — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/tools/neuronperf/neuronperf_faq.html | # NeuronPerf FAQ — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## NeuronPerf FAQ[#](#neuronperf-faq "Permalink to this headline")
Table of contents
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NeuronPerf Framework Notes — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/tools/neuronperf/neuronperf_framework_notes.html | # NeuronPerf Framework Notes — AWS Neuron Documentation
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_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## NeuronPerf Framework Notes[#](#neuronperf-framework-notes "Permalink to this headline")
## PyTorch[#](#pytorch "Permalink to this headline")
> - Requires: `... | <!DOCTYPE html><html lang="en"><head>
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What’s New — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/tools/neuronperf/rn.html | # What’s New — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## What’s New[#](#what-s-new "Permalink to this headline")
- [NeuronPerf 1.x Release Notes](../../release-notes/tools/neuronperf.html)
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n` | <!DOCTYPE html><html lang="en"><head>
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NeuronPerf Troubleshooting — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/tools/neuronperf/neuronperf_troubleshooting.html | # NeuronPerf Troubleshooting — AWS Neuron Documentation
Table of contents
- [Compilation issues](#compilation-issues)
- [Model fails to compile](#model-fails-to-compile)
- [Benchmarking Issues](#benchmarking-issues)
- [Benchmarking terminates early with errors](#benchmarking-termina... | <!DOCTYPE html><html lang="en"><head>
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Neuron Calculator — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/calculator/neuron-calculator.html | # Neuron Calculator — AWS Neuron Documentation
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## Neuron Calculator[#](#neuron-calculator "Permalink to this headline")
## Number of NeuronCores needed for LLM Inference
Please enter model configurations (You can enter multip... | <!DOCTYPE html><html lang="en"><head>
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NeuronPerf 1.x Release Notes — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/release-notes/tools/neuronperf.html | # NeuronPerf 1.x Release Notes — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## NeuronPerf 1.x Release Notes[#](#neuronperf-1-x-release-notes "Permalink to this headline")
[NeuronPerf](../../tools/neuronperf/index.html#neuronperf) is a lightweight Python library with a s... | <!DOCTYPE html><html lang="en"><head>
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PyTorch Neuron (torch-neuron) Setup — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/setup/torch-neuron.html | # PyTorch Neuron (torch-neuron) Setup — AWS Neuron Documentation
_This document is relevant for_: `Inf1`
## PyTorch Neuron (`torch-neuron`) Setup[#](#pytorch-neuron-torch-neuron-setup "Permalink to this headline")
Note
This Setup guide is relevant for `Inf1` instances.
Table of contents
- [`torch-neuron` setup ... | <!DOCTYPE html><html lang="en"><head>
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PyTorch Neuron (torch-neuronx) Setup — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/setup/torch-neuronx.html | # PyTorch Neuron (torch-neuronx) Setup — AWS Neuron Documentation
_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n`
## PyTorch Neuron (`torch-neuronx`) Setup[#](#pytorch-neuron-torch-neuronx-setup "Permalink to this headline")
Note
This Setup guide is relevant for `Inf2` & `Trn1` / `Trn1n` instances.
Table ... | <!DOCTYPE html><html lang="en"><head>
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Setup Guide — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/setup/index.html | # Setup Guide — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## Setup Guide[#](#setup-guide "Permalink to this headline")
This section walks you through the various options to install and upgrade Neuron. You have to install Neuron on Trainium and Inferentia powered instan... | <!DOCTYPE html><html lang="en"><head>
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Tensorflow Neuron (tensorflow-neuronx) Setup — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/setup/tensorflow-neuronx.html | # Tensorflow Neuron (tensorflow-neuronx) Setup — AWS Neuron Documentation
_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n`
## Tensorflow Neuron (`tensorflow-neuronx`) Setup[#](#tensorflow-neuron-tensorflow-neuronx-setup "Permalink to this headline")
Note
This Setup guide is relevant for `Inf2` & `Trn1` / `T... | <!DOCTYPE html><html lang="en"><head>
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MxNet Neuron (mxnet-neuron) Setup — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/setup/mxnet-neuron.html | # MxNet Neuron (mxnet-neuron) Setup — AWS Neuron Documentation
_This document is relevant for_: `Inf1`
## MxNet Neuron (`mxnet-neuron`) Setup[#](#mxnet-neuron-mxnet-neuron-setup "Permalink to this headline")
Note
This Setup guide is relevant for `Inf1` instances.
Table of contents
- [`mxnet-neuron` setup on Ubu... | <!DOCTYPE html><html lang="en"><head>
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Tensorflow Neuron (tensorflow-neuron) Setup — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/setup/tensorflow-neuron.html | # Tensorflow Neuron (tensorflow-neuron) Setup — AWS Neuron Documentation
_This document is relevant for_: `Inf1`
## Tensorflow Neuron (`tensorflow-neuron`) Setup[#](#tensorflow-neuron-tensorflow-neuron-setup "Permalink to this headline")
Note
This Setup guide is relevant for `Inf1` instances.
Table of contents
- ... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
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Containers - Locate Neuron DLC Image — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/locate-neuron-dlc-image.html | # Locate Neuron DLC Image — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## Containers - Locate Neuron DLC Image[#](#containers-locate-neuron-dlc-image "Permalink to this headline")
Locate specific Neuron DLC release
In the [DLC release page](https://github.com/aws/deep-... | <!DOCTYPE html><html lang="en"><head>
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<title>Containers - Locate Neuron DLC Image — AWS Neuron Documentation</title>
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Containers - Getting Started — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/getting-started.html | # Getting Started — AWS Neuron Documentation
## Containers - Getting Started[#](#containers-getting-started "Permalink to this headline")
Training
```
# Configure Linux for Neuron repository updates
sudo tee /etc/yum.repos.d/neuron.repo > /dev/null <<EOF
[neuron]
name=Neuron YUM Repository
baseurl=https://yum.repos... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Containers - Getting Started — AWS Neuron Documentation</title>
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Deploy Containers with Neuron — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/index.html | # Deploy Containers with Neuron — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## Deploy Containers with Neuron[#](#deploy-containers-with-neuron "Permalink to this headline")
In this section you will find resources to help you use containers for your accelerated deep lea... | <!DOCTYPE html><html lang="en"><head>
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<title>Deploy Containers with Neuron — AWS Neuron Documentation</title>
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Containers - Kubernetes - Getting Started — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/kubernetes-getting-started.html | # Containers - Kubernetes - Getting Started — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## Containers - Kubernetes - Getting Started[#](#containers-kubernetes-getting-started "Permalink to this headline")
- Working kubernetes cluster
- Inf1/Trn1 instances as w... | <!DOCTYPE html><html lang="en"><head>
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<link href="../_static/styles/theme.css?... | 2023-09-29T20:54:02.220Z |
Containers – Inference Tutorials — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/tutorials/inference/index.html | # Containers – Inference Tutorials — AWS Neuron Documentation
next
Run inference in pytorch neuron container | <!DOCTYPE html><html lang="en"><head>
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Containers - Tutorials — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/tutorials.html | # Tutorials — AWS Neuron Documentation
- [repository](https://github.com/aws-neuron/aws-neuron-sdk)
- [open issue](https://github.com/aws-neuron/aws-neuron-sdk/issues/new?title=Issue%20on%20page%20%2Fcontainers/tutorials.html&body=Your%20issue%20content%20here.)
- [suggest edit](https://github.com/aws-neuron/aws... | <!DOCTYPE html><html lang="en"><head>
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Run inference in pytorch neuron container — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/tutorials/inference/tutorial-infer.html | # Run inference in pytorch neuron container — AWS Neuron Documentation
## [Overview](#id1)[#](#overview "Permalink to this headline")
This tutorial demonstrates how to run a pytorch DLC on an inferentia instance.
By the end of this tutorial you will be able to run the inference using the container
You will use an i... | <!DOCTYPE html><html lang="en"><head>
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<title>Run inference in pytorch neuron container — AWS Neuron Documentation</title>
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Deploy a TensorFlow Resnet50 model as a Kubernetes service — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/tutorials/inference/k8s_rn50_demo.html | # Deploy a TensorFlow Resnet50 model as a Kubernetes service — AWS Neuron Documentation
## Contents
- [Prerequisite:](#prerequisite)
- [Deploy a TensorFlow Serving application image](#deploy-a-tensorflow-serving-application-image)
- [Make predictions against your TensorFlow Serving service](#make-predictions-ag... | <!DOCTYPE html><html lang="en"><head>
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<title>Deploy a TensorFlow Resnet50 model as a Kubernetes service — AWS Neuron Documentation</title>
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<link href="../../../_s... | 2023-09-29T20:54:03.426Z |
Containers - Developer Flows — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/developerflows.html | # Developer Flows — AWS Neuron Documentation
- [repository](https://github.com/aws-neuron/aws-neuron-sdk)
- [open issue](https://github.com/aws-neuron/aws-neuron-sdk/issues/new?title=Issue%20on%20page%20%2Fcontainers/developerflows.html&body=Your%20issue%20content%20here.)
- [suggest edit](https://github.com/aws... | <!DOCTYPE html><html lang="en"><head>
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<title>Containers - Developer Flows — AWS Neuron Documentation</title>
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<link href="../_static/styles/theme.css?digest=199951... | 2023-09-29T20:54:04.589Z |
Containers – Training Tutorials — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/tutorials/training/index.html | # Containers – Training Tutorials — AWS Neuron Documentation
- [repository](https://github.com/aws-neuron/aws-neuron-sdk)
- [open issue](https://github.com/aws-neuron/aws-neuron-sdk/issues/new?title=Issue%20on%20page%20%2Fcontainers/tutorials/training/index.html&body=Your%20issue%20content%20here.)
- [suggest ed... | <!DOCTYPE html><html lang="en"><head>
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<title>Containers – Training Tutorials — AWS Neuron Documentation</title>
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Run training in Pytorch Neuron container — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/tutorials/training/tutorial-training.html | # Run training in Pytorch Neuron container — AWS Neuron Documentation
Toggle in-page Table of Contents
## Run training in Pytorch Neuron container
_This document is relevant for_: `Trn1`, `Trn1n`
## Run training in Pytorch Neuron container[#](#run-training-in-pytorch-neuron-container "Permalink to this headline")
... | <!DOCTYPE html><html lang="en"><head>
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<title>Run training in Pytorch Neuron container — AWS Neuron Documentation</title>
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Deploy a simple mlp training script as a Kubernetes job — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/tutorials/training/k8s_mlp_train_demo.html | # Deploy a simple mlp training script as a Kubernetes job — AWS Neuron Documentation
Toggle in-page Table of Contents
_This document is relevant for_: `Trn1`, `Trn1n`
## Deploy a simple mlp training script as a Kubernetes job[#](#deploy-a-simple-mlp-training-script-as-a-kubernetes-job "Permalink to this headline")
... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Deploy a simple mlp training script as a Kubernetes job — AWS Neuron Documentation</title>
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<link href="../../../_stat... | 2023-09-29T20:54:05.254Z |
Deploy Neuron Container on EC2 — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/dlc-then-ec2-devflow.html | # Deploy Neuron Container on EC2 — AWS Neuron Documentation
_This document is relevant for_: `Inf1`
## Deploy Neuron Container on EC2[#](#deploy-neuron-container-on-ec2 "Permalink to this headline")
Table of Contents
- [Description](#description)
- [Setup Environment](#setup-environment)
## [Descript... | <!DOCTYPE html><html lang="en"><head>
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<title>Deploy Neuron Container on EC2 — AWS Neuron Documentation</title>
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Bring Your Own Neuron Container to Sagemaker Hosting (inf1) — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/container-sm-hosting-devflow.html | # Bring Your Own Neuron Container to Sagemaker Hosting (inf1) — AWS Neuron Documentation
Toggle in-page Table of Contents
_This document is relevant for_: `Inf1`
## Bring Your Own Neuron Container to Sagemaker Hosting (inf1)[#](#bring-your-own-neuron-container-to-sagemaker-hosting-inf1 "Permalink to this headline")
... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
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<title>Bring Your Own Neuron Container to Sagemaker Hosting (inf1) — AWS Neuron Documentation</title>
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<link href="../_static... | 2023-09-29T20:54:05.866Z |
Neuron Containers FAQ — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/faq.html | # Neuron Containers FAQ — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## Neuron Containers FAQ[#](#neuron-containers-faq "Permalink to this headline")
Table of Contents
- [Where can I find DLC images](#where-can-i-find-dlc-images)
- [What is OCI Neuron Hook and... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Neuron Containers FAQ — AWS Neuron Documentation</title>
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<link href="../_static/styles/theme.css?digest=1999514e3f237... | 2023-09-29T20:54:06.009Z |
Containers - FAQ, Troubleshooting & ReleaseNotes — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/faq-troubleshooting-releasenote.html | # FAQ, Troubleshooting & ReleaseNotes — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## Containers - FAQ, Troubleshooting & ReleaseNotes[#](#containers-faq-troubleshooting-releasenotes "Permalink to this headline")
- [Neuron Containers FAQ](faq.html#container-faq)
... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Containers - FAQ, Troubleshooting & ReleaseNotes — AWS Neuron Documentation</title>
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Deploy Neuron Container on Elastic Container Service (ECS) — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/dlc-then-ecs-devflow.html | # Deploy Neuron Container on Elastic Container Service (ECS) — AWS Neuron Documentation
## [Description](#id1)[#](#description "Permalink to this headline")
[](../_images/dlc-on-ecs-dev-flow.png)
You can use the Neuron version of the [AWS Dee... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Deploy Neuron Container on Elastic Container Service (ECS) — AWS Neuron Documentation</title>
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Troubleshooting Neuron Containers — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/troubleshooting.html | # Troubleshooting Neuron Containers — AWS Neuron Documentation
Toggle in-page Table of Contents
Contents
- [Neuron Device Not found](#neuron-device-not-found)
- [Solution](#solution)
- [Contiguous Device ID’s](#contiguous-device-id-s)
- [Solution](#id1)
## Contents
- [Neuron Device Not found](#ne... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Troubleshooting Neuron Containers — AWS Neuron Documentation</title>
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<link href="../_static/styles/theme.css?digest=1... | 2023-09-29T20:54:07.076Z |
Deploy Neuron Container on Elastic Kubernetes Service (EKS) — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/containers/dlc-then-eks-devflow.html | # Deploy Neuron Container on Elastic Kubernetes Service (EKS) — AWS Neuron Documentation
## [Description](#id2)[#](#description "Permalink to this headline")
[](../_images/dlc-on-eks-dev-flow.png)
You can use the Neuron version of the [AWS De... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Deploy Neuron Container on Elastic Kubernetes Service (EKS) — AWS Neuron Documentation</title>
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<link href="../_static... | 2023-09-29T20:54:07.360Z |
Developer Flows — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/index.html | # Developer Flows — AWS Neuron Documentation
## Developer Flows[#](#developer-flows "Permalink to this headline")
Neuron can be used in a wide selection of development flows. Each flow has its own starting point and requirements which are required to enable deep learning acceleration with AWS Neuron.
Training
Note
... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
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Neuron Containers Release Notes — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/release-notes/containers/neuron-containers.html | # Neuron Containers Release Notes — AWS Neuron Documentation
Toggle in-page Table of Contents
Contents
- [Neuron 2.5.0](#neuron-2-5-0)
- [Neuron 2.4.0](#neuron-2-4-0)
- [Neuron 2.3.0](#neuron-2-3-0)
- [Neuron 1.19.0](#neuron-1-19-0)
- [Neuron 1.16.0](#neuron-1-16-0)
- [New in this release](#new-in-th... | <!DOCTYPE html><html lang="en"><head>
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<title>Neuron Containers Release Notes — AWS Neuron Documentation</title>
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<link href="../../_static/styles/theme.css?digest=... | 2023-09-29T20:54:07.533Z |
EC2 Flows - Inference — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/inference/ec2-flows.html | # EC2 Flows - Inference — AWS Neuron Documentation
next
Compile with Framework API and Deploy on EC2 Inf1 | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
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<title>EC2 Flows - Inference — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1999514... | 2023-09-29T20:54:07.831Z |
AWS EC2 — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/ec2-flows.html | # AWS EC2 — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## AWS EC2[#](#aws-ec2 "Permalink to this headline")
Inference
- [Compile with Framework API and Deploy on EC2 Inf1](inference/ec2-then-ec2-devflow.html#ec2-then-ec2-devflow)
- [Compile with Framework API ... | <!DOCTYPE html><html lang="en"><head>
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<link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" re... | 2023-09-29T20:54:08.151Z |
EC2 Flows- Training — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/training/ec2-flows.html | # EC2 Flows- Training — AWS Neuron Documentation
- [repository](https://github.com/aws-neuron/aws-neuron-sdk)
- [open issue](https://github.com/aws-neuron/aws-neuron-sdk/issues/new?title=Issue%20on%20page%20%2Fgeneral/devflows/training/ec2-flows.html&body=Your%20issue%20content%20here.)
- [suggest edit](https://... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
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<title>EC2 Flows- Training — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1999514e3... | 2023-09-29T20:54:08.617Z |
Train your model on EC2 — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/training/ec2/ec2-training.html | # Train your model on EC2 — AWS Neuron Documentation
_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n`
## Train your model on EC2[#](#train-your-model-on-ec2 "Permalink to this headline")
Table of Contents
- [Description](#description)
- [Setup Environment](#setup-environment)
- [1\. Laun... | <!DOCTYPE html><html lang="en"><head>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Train your model on EC2 — AWS Neuron Documentation</title>
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<link href="../../../../_static/styles/theme.css?digest=19... | 2023-09-29T20:54:08.778Z |
Compile with Framework API and Deploy on EC2 Inf1 — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/inference/ec2-then-ec2-devflow.html | # Compile with Framework API and Deploy on EC2 Inf1 — AWS Neuron Documentation
_This document is relevant for_: `Inf1`
## Compile with Framework API and Deploy on EC2 Inf1[#](#compile-with-framework-api-and-deploy-on-ec2-inf1 "Permalink to this headline")
Table of Contents
- [Description](#description)
- [... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Compile with Framework API and Deploy on EC2 Inf1 — AWS Neuron Documentation</title>
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<link href="../../../_static/sty... | 2023-09-29T20:54:09.003Z |
Compile with Framework API and Deploy on EC2 Inf2 — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/inference/ec2-then-ec2-devflow-inf2.html | # Compile with Framework API and Deploy on EC2 Inf2 — AWS Neuron Documentation
_This document is relevant for_: `Inf1`
## Compile with Framework API and Deploy on EC2 Inf2[#](#compile-with-framework-api-and-deploy-on-ec2-inf2 "Permalink to this headline")
Table of Contents
- [Description](#description)
- [... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Compile with Framework API and Deploy on EC2 Inf2 — AWS Neuron Documentation</title>
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<link href="../../../_static/sty... | 2023-09-29T20:54:09.388Z |
Amazon EKS — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/eks-flows.html | # Amazon EKS — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## Amazon EKS[#](#amazon-eks "Permalink to this headline")
Training
Note
Amazon EKS support is coming soon.
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n` | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Amazon EKS — AWS Neuron Documentation</title>
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<link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf"... | 2023-09-29T20:54:09.558Z |
EKS Flows - Inference — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/inference/eks-flows.html | # EKS Flows - Inference — AWS Neuron Documentation
next
Deploy Neuron Container on Elastic Kubernetes Service (EKS) | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>EKS Flows - Inference — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1999514... | 2023-09-29T20:54:09.870Z |
EKS Flows - Training — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/training/eks-flows.html | # EKS Flows - Training — AWS Neuron Documentation
_This document is relevant for_: `Trn1`, `Trn1n`
## EKS Flows - Training[#](#eks-flows-training "Permalink to this headline")
Note
Amazon EKS support is coming soon.
_This document is relevant for_: `Trn1`, `Trn1n` | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>EKS Flows - Training — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1999514e... | 2023-09-29T20:54:10.126Z |
Deploy Neuron Container on Elastic Kubernetes Service (EKS) — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/inference/dlc-then-eks-devflow.html | # Deploy Neuron Container on Elastic Kubernetes Service (EKS) — AWS Neuron Documentation
## [Description](#id2)[#](#description "Permalink to this headline")
[](../../../_images/dlc-on-eks-dev-flow.png)
You can use the Neuron version of... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
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<title>Deploy Neuron Container on Elastic Kubernetes Service (EKS) — AWS Neuron Documentation</title>
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AWS ECS — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/ecs-flows.html | # AWS ECS — AWS Neuron Documentation
Note
Amazon ECS supports Trn1.
An example of how to train a model with Neuron using ECS is coming soon. | <!DOCTYPE html><html lang="en"><head>
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ECS FLOWS - Inference — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/inference/ecs-flows.html | # ECS FLOWS - Inference — AWS Neuron Documentation
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Deploy Neuron Container on Elastic Container Service (ECS) | <!DOCTYPE html><html lang="en"><head>
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<title>ECS FLOWS - Inference — AWS Neuron Documentation</title>
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Deploy Neuron Container on Elastic Container Service (ECS) — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/inference/dlc-then-ecs-devflow.html | # Deploy Neuron Container on Elastic Container Service (ECS) — AWS Neuron Documentation
## [Description](#id1)[#](#description "Permalink to this headline")
[](../../../_images/dlc-on-ecs-dev-flow.png)
You can use the Neuron version of ... | <!DOCTYPE html><html lang="en"><head>
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ECS Flows- Training — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/training/ecs-flows.html | # ECS Flows- Training — AWS Neuron Documentation
Toggle in-page Table of Contents
_This document is relevant for_: `Trn1`, `Trn1n`
## ECS Flows- Training[#](#ecs-flows-training "Permalink to this headline")
Note
Amazon ECS supports Trn1.
An example of how to train a model with Neuron using ECS is coming soon.
_T... | <!DOCTYPE html><html lang="en"><head>
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Sagemaker Flows - Inference — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/inference/sagemaker-flows.html | # Sagemaker Flows - Inference — AWS Neuron Documentation
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Bring Your Own Neuron Container to Sagemaker Hosting (inf2 or trn1) | <!DOCTYPE html><html lang="en"><head>
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Parallel Cluster Flows- Training — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/training/parallelcluster-flows.html | # Parallel Cluster Flows- Training — AWS Neuron Documentation
- [repository](https://github.com/aws-neuron/aws-neuron-sdk)
- [open issue](https://github.com/aws-neuron/aws-neuron-sdk/issues/new?title=Issue%20on%20page%20%2Fgeneral/devflows/training/parallelcluster-flows.html&body=Your%20issue%20content%20here.)
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Sagemaker Flows- Training — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/training/sagemaker-flows.html | # Sagemaker Flows- Training — AWS Neuron Documentation
- [repository](https://github.com/aws-neuron/aws-neuron-sdk)
- [open issue](https://github.com/aws-neuron/aws-neuron-sdk/issues/new?title=Issue%20on%20page%20%2Fgeneral/devflows/training/sagemaker-flows.html&body=Your%20issue%20content%20here.)
- [suggest ed... | <!DOCTYPE html><html lang="en"><head>
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Parallel Cluster Flows - Inference — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/inference/parallelcluster-flows.html | # Parallel Cluster Flows - Inference — AWS Neuron Documentation
## Parallel Cluster Flows - Inference
_This document is relevant for_: `Inf1`
## Parallel Cluster Flows - Inference[#](#parallel-cluster-flows-inference "Permalink to this headline")
Note
AWS ParallelCluster support is coming soon.
_This document is ... | <!DOCTYPE html><html lang="en"><head>
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<title>Parallel Cluster Flows - Inference — AWS Neuron Documentation</title>
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Parallel Cluster — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/parallelcluster-flows.html | # Parallel Cluster — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## Parallel Cluster[#](#parallel-cluster "Permalink to this headline")
Inference
Note
AWS ParallelCluster support is coming soon.
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n` | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
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<title>Parallel Cluster — AWS Neuron Documentation</title>
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AWS Batch Flows — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/aws-batch-flows.html | # AWS Batch Flows — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## AWS Batch Flows[#](#aws-batch-flows "Permalink to this headline")
Inference
Note
AWS Batch supports Inf1.
An example of how to deploy a model with Neuron using Batch is coming soon.
Training
Note
AW... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
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<title>AWS Batch Flows — AWS Neuron Documentation</title>
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Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1) — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/inference/neo-then-hosting-devflow.html | # Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1) — AWS Neuron Documentation
_This document is relevant for_: `Inf1`
## Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1)[#](#compile-with-sagemaker-neo-and-deploy-on-sagemaker-hosting-inf1 "Permalink to this headline")
Table of Conten... | <!DOCTYPE html><html lang="en"><head>
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<title>Compile with Sagemaker Neo and Deploy on Sagemaker Hosting (inf1) — AWS Neuron Documentation</title>
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<link href="../.... | 2023-09-29T20:54:15.003Z |
Train your model on SageMaker — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/training/sm-devflow/sm-training-devflow.html | # Train your model on SageMaker — AWS Neuron Documentation
Toggle in-page Table of Contents
_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n`
## Train your model on SageMaker[#](#train-your-model-on-sagemaker "Permalink to this headline")
Table of Contents
- [Description](#description)
- [Setup env... | <!DOCTYPE html><html lang="en"><head>
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<title>Train your model on SageMaker — AWS Neuron Documentation</title>
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Bring Your Own Neuron Container to Sagemaker Hosting (inf2 or trn1) — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/inference/byoc-hosting-devflow-inf2.html | # Bring Your Own Neuron Container to Sagemaker Hosting (inf2 or trn1) — AWS Neuron Documentation
## [Description](#id2)[#](#description "Permalink to this headline")
[](../../../_images/byoc-then-hosting-dev-flow.png)
You can u... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
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<title>Bring Your Own Neuron Container to Sagemaker Hosting (inf2 or trn1) — AWS Neuron Documentation</title>
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<link href="..... | 2023-09-29T20:54:15.283Z |
Sagemaker — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/sagemaker-flows.html | # Sagemaker — AWS Neuron Documentation
Toggle in-page Table of Contents | <!DOCTYPE html><html lang="en"><head>
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Bring Your Own Neuron Container to Sagemaker Hosting (inf1) — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/inference/byoc-hosting-devflow.html | # Bring Your Own Neuron Container to Sagemaker Hosting (inf1) — AWS Neuron Documentation
If using an **EC2 instance for compilation** you can use an Inf1 instance to compile and test a model. Follow these steps to launch an Inf1 instance:
> - Please follow the instructions at [launch an Amazon EC2 Instance](https:/... | <!DOCTYPE html><html lang="en"><head>
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<link href="../../../_... | 2023-09-29T20:54:15.768Z |
AWS Batch Flows - Inference — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/inference/aws-batch-flows.html | # AWS Batch Flows - Inference — AWS Neuron Documentation
## AWS Batch Flows - Inference
_This document is relevant for_: `Inf1`
## AWS Batch Flows - Inference[#](#aws-batch-flows-inference "Permalink to this headline")
Note
AWS Batch supports Inf1.
An example of how to deploy a model with Neuron using Batch is co... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AWS Batch Flows - Inference — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1... | 2023-09-29T20:54:16.200Z |
Train your model on ParallelCluster — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/training/parallelcluster/parallelcluster-training.html | # Train your model on ParallelCluster — AWS Neuron Documentation
Toggle in-page Table of Contents
_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n`
## Train your model on ParallelCluster[#](#train-your-model-on-parallelcluster "Permalink to this headline")
Table of Contents
- [Description](#description)
... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Train your model on ParallelCluster — AWS Neuron Documentation</title>
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AWS Batch Flows- Training — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/devflows/training/aws-batch-flows.html | # AWS Batch Flows- Training — AWS Neuron Documentation
Toggle in-page Table of Contents
_This document is relevant for_: `Trn1`, `Trn1n`
## AWS Batch Flows- Training[#](#aws-batch-flows-training "Permalink to this headline")
Note
AWS Batch support is coming soon.
_This document is relevant for_: `Trn1`, `Trn1n` | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AWS Batch Flows- Training — AWS Neuron Documentation</title>
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Neuron Architecture — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/index.html | # Neuron Architecture — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## Neuron Architecture[#](#neuron-architecture "Permalink to this headline")
The Neuron Architecture provides insights into Neuron enabled instances system, software and chip capabilities. The EC2 Trn an... | <!DOCTYPE html><html lang="en"><head>
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<title>Neuron Architecture — AWS Neuron Documentation</title>
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AWS Inf1 Architecture — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-hardware/inf1-arch.html | # AWS Inf1 Architecture — AWS Neuron Documentation
Toggle in-page Table of Contents
Contents
- [Inf1 Architecture](#inf1-architecture)
## Contents
- [Inf1 Architecture](#inf1-architecture)
_This document is relevant for_: `Inf1`
## AWS Inf1 Architecture[#](#aws-inf1-architecture "Permalink to this headline")... | <!DOCTYPE html><html lang="en"><head>
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<title>AWS Inf1 Architecture — AWS Neuron Documentation</title>
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Data Types — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-features/data-types.html | # Data Types — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## Data Types[#](#data-types "Permalink to this headline")
Table of contents
- [Introduction](#introduction)
- [NeuronCore v1 Data Types](#neuroncore-v1-data-types)
- [Neuron Data-Types](#id1... | <!DOCTYPE html><html lang="en"><head>
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AWS NeuronCore Architecture — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-hardware/neuroncores-arch.html | # AWS NeuronCore Architecture — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## AWS NeuronCore Architecture[#](#aws-neuroncore-architecture "Permalink to this headline")
see [NeuronCore-v1 Architecture](neuron-core-v1.html#neuroncores-v1-arch) and [NeuronCore-v2 Architect... | <!DOCTYPE html><html lang="en"><head>
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<title>AWS NeuronCore Architecture — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1... | 2023-09-29T20:54:18.391Z |
Neuron Features — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-features/index.html | # Neuron Features — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## Neuron Features[#](#neuron-features "Permalink to this headline")
Neuron features provide insights into Neuron capabilities that enable high-performance and improve usability of developing and deploying d... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Neuron Features — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1999514e3f237... | 2023-09-29T20:54:18.584Z |
Inferentia Architecture — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-hardware/inferentia.html | # Inferentia Architecture — AWS Neuron Documentation
## Inferentia Architecture[#](#inferentia-architecture "Permalink to this headline")
At the heart of the Inf1 instance are 16 x Inferentia devices (each Inferentia include 4 x [NeuronCore-v1](neuron-core-v1.html#neuroncores-v1-arch)), as depicted below:
Table of contents
- [Introduction](#introduction)
- [Model Support Overvie... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Model Architecture Fit Guidelines — AWS Neuron Documentation</title>
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<link href="../../_static/styles/theme.css?diges... | 2023-09-29T20:54:18.951Z |
AWS Trn1/Trn1n Architecture — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-hardware/trn1-arch.html | # AWS Trn1/Trn1n Architecture — AWS Neuron Documentation
Toggle in-page Table of Contents
_This document is relevant for_: `Trn1`, `Trn1n`
## AWS Trn1/Trn1n Architecture[#](#aws-trn1-trn1n-architecture "Permalink to this headline")
In this page, we provide an architectural overview of the AWS Trn1/Trn1n instances, ... | <!DOCTYPE html><html lang="en"><head>
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<title>AWS Trn1/Trn1n Architecture — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1... | 2023-09-29T20:54:19.031Z |
AWS Inf2 Architecture — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-hardware/inf2-arch.html | # AWS Inf2 Architecture — AWS Neuron Documentation
Toggle in-page Table of Contents
Contents
- [Inf2 Architecture](#inf2-architecture)
## Contents
- [Inf2 Architecture](#inf2-architecture)
_This document is relevant for_: `Inf2`
## AWS Inf2 Architecture[#](#aws-inf2-architecture "Permalink to this headline")... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AWS Inf2 Architecture — AWS Neuron Documentation</title>
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Inferentia2 Architecture — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-hardware/inferentia2.html | # Inferentia2 Architecture — AWS Neuron Documentation
Toggle in-page Table of Contents
_This document is relevant for_: `Inf2`
## Inferentia2 Architecture[#](#inferentia2-architecture "Permalink to this headline")
At the heart of the Inf2 instance are up to 12 Inferentia2 devices (each Inferentia2 include 2 [Neuron... | <!DOCTYPE html><html lang="en"><head>
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<title>Inferentia2 Architecture — AWS Neuron Documentation</title>
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Neuron Glossary — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/glossary.html | # Neuron Glossary — AWS Neuron Documentation
Table of contents
- [Terms](#terms)
- [Neuron Devices (Accelerated Machine Learning chips)](#neuron-devices-accelerated-machine-learning-chips)
- [Neuron powered Instances](#neuron-powered-instances)
- [NeuronCore terms](#neuronco... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
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<title>Neuron Glossary — AWS Neuron Documentation</title>
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<link href="../../_static/styles/theme.css?digest=1999514e3f237ded... | 2023-09-29T20:54:19.613Z |
Trainium Architecture — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-hardware/trainium.html | # Trainium Architecture — AWS Neuron Documentation
Toggle in-page Table of Contents
_This document is relevant for_: `Trn1`, `Trn1n`
## Trainium Architecture[#](#trainium-architecture "Permalink to this headline")
At the heart of the Trn1 instance are 16 x Trainium devices (each Trainium include 2 x [NeuronCore-v2]... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
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<title>Trainium Architecture — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1999514... | 2023-09-29T20:54:20.221Z |
Neuron Rounding Modes — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-features/rounding-modes.html | # Neuron Rounding Modes — AWS Neuron Documentation
_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n`
## Neuron Rounding Modes[#](#neuron-rounding-modes "Permalink to this headline")
Table of contents
- [Round Nearest, ties to Even (RNE)](#round-nearest-ties-to-even-rne)
- [Stochastic Rounding (SR)](... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
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<title>Neuron Rounding Modes — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1999514... | 2023-09-29T20:54:20.314Z |
Neuron Batching — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-features/neuroncore-batching.html | # Neuron Batching — AWS Neuron Documentation
## Neuron Batching[#](#neuron-batching "Permalink to this headline")
Batching refers to the process of grouping multiple samples together, and processing them as a group (i.e. passing them together through the neural network). Batching is typically used as an optimization ... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Neuron Batching — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1999514e3f237... | 2023-09-29T20:54:20.406Z |
NeuronCore Pipeline — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-features/neuroncore-pipeline.html | # NeuronCore Pipeline — AWS Neuron Documentation
Toggle in-page Table of Contents
_This document is relevant for_: `Inf1`
## NeuronCore Pipeline[#](#neuroncore-pipeline "Permalink to this headline")
The Neuron software feature referred to as a NeuronCore Pipeline refers to the process of sharding a compute-graph ac... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>NeuronCore Pipeline — AWS Neuron Documentation</title>
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Neuron Custom C++ Operators — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-features/custom-c%2B%2B-operators.html | # Neuron Custom C++ Operators — AWS Neuron Documentation
Toggle in-page Table of Contents
_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n`
## Neuron Custom C++ Operators[#](#neuron-custom-c-operators "Permalink to this headline")
Neuron Custom C++ Operators enable developers to write C++ Custom Operators (“... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Neuron Custom C++ Operators — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1... | 2023-09-29T20:54:20.831Z |
Neuron Control Flow — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-features/control-flow.html | # Neuron Control Flow — AWS Neuron Documentation
_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n`
## Neuron Control Flow[#](#neuron-control-flow "Permalink to this headline")
_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n` | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Neuron Control Flow — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1999514e3... | 2023-09-29T20:54:21.104Z |
Neuron Dynamic Shapes — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/arch/neuron-features/dynamic-shapes.html | # Neuron Dynamic Shapes — AWS Neuron Documentation
_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n`
## Neuron Dynamic Shapes[#](#neuron-dynamic-shapes "Permalink to this headline")
_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n` | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Neuron Dynamic Shapes — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1999514... | 2023-09-29T20:54:21.279Z |
Misc(Neuron Runtime) — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/neuron-runtime/misc-runtime.html | # Misc(Neuron Runtime) — AWS Neuron Documentation
- [repository](https://github.com/aws-neuron/aws-neuron-sdk)
- [open issue](https://github.com/aws-neuron/aws-neuron-sdk/issues/new?title=Issue%20on%20page%20%2Fneuron-runtime/misc-runtime.html&body=Your%20issue%20content%20here.)
- [suggest edit](https://github.... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Misc(Neuron Runtime) — AWS Neuron Documentation</title>
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<link href="../_static/styles/theme.css?digest=1999514e3f237d... | 2023-09-29T20:54:21.629Z |
Introducing Neuron Runtime 2.x (libnrt.so) — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/appnotes/neuron1x/introducing-libnrt.html | # Introducing Neuron Runtime 2.x (libnrt.so) — AWS Neuron Documentation
_This document is relevant for_: `Inf1`
## Introducing Neuron Runtime 2.x (libnrt.so)[#](#introducing-neuron-runtime-2-x-libnrt-so "Permalink to this headline")
Table of contents
- [What are we changing?](#what-are-we-changing)
- [Why ... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Introducing Neuron Runtime 2.x (libnrt.so) — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/the... | 2023-09-29T20:54:21.812Z |
Neuron Application Notes — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/appnotes/index.html | # Neuron Application Notes — AWS Neuron Documentation
next
Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA) | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Neuron Application Notes — AWS Neuron Documentation</title>
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<link href="../../_static/styles/theme.css?digest=1999514... | 2023-09-29T20:54:22.240Z |
Performance Tuning — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/appnotes/perf/neuron-cc/performance-tuning.html | # Performance Tuning — AWS Neuron Documentation
_This document is relevant for_: `Inf1`
## Performance Tuning[#](#performance-tuning "Permalink to this headline")
This guide is intended to provide the reader with an in-depth understanding on how to optimize neural network performance on Inferentia for both throughpu... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Performance Tuning — AWS Neuron Documentation</title>
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<link href="../../../../_static/styles/theme.css?digest=1999514... | 2023-09-29T20:54:22.319Z |
Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA) — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/announcements/neuron2.x/neuron2-intro.html | # Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA) — AWS Neuron Documentation
## Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA)[#](#introducing-first-release-of-neuron-2-x-enabling-ec2-trn1-general-availability-ga "Permalink to this headline")
Ne... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Introducing first release of Neuron 2.x enabling EC2 Trn1 general availability (GA) — AWS Neuron Documentation</title>
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... | 2023-09-29T20:54:22.596Z |
Running R-CNNs on Inf1 — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/appnotes/torch-neuron/rcnn-app-note.html | # Running R-CNNs on Inf1 — AWS Neuron Documentation
```
import time
import os
import urllib.request
from typing import Any, Union, Callable
import cv2
import numpy as np
from concurrent.futures import ThreadPoolExecutor
import torch
import torch_neuron
from detectron2 import model_zoo
from detectron2.engine import ... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Running R-CNNs on Inf1 — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=199951... | 2023-09-29T20:54:23.276Z |
Neuron FAQ — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/faq.html | # Neuron FAQ — AWS Neuron Documentation
- [repository](https://github.com/aws-neuron/aws-neuron-sdk)
- [open issue](https://github.com/aws-neuron/aws-neuron-sdk/issues/new?title=Issue%20on%20page%20%2Fgeneral/faq.html&body=Your%20issue%20content%20here.)
- [suggest edit](https://github.com/aws-neuron/aws-neuron-... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
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<title>Neuron FAQ — AWS Neuron Documentation</title>
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<link href="../_static/styles/theme.css?digest=1999514e3f237ded88cf" re... | 2023-09-29T20:54:23.538Z |
Troubleshooting Guide — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/troubleshooting.html | # Troubleshooting Guide — AWS Neuron Documentation
Table of contents
- [Training Only Troubleshooting](#training-only-troubleshooting)
- [Inference Only Troubleshooting](#inference-only-troubleshooting)
- [Runtime Troubleshooting](#runtime-troubleshooting)
- [Containers Troubleshooting](#contai... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Troubleshooting Guide — AWS Neuron Documentation</title>
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<link href="../_static/styles/theme.css?digest=1999514e3f237... | 2023-09-29T20:54:23.735Z |
Parallel Execution using NEURON_RT_NUM_CORES — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/appnotes/perf/neuron-cc/parallel-ncgs.html | # Parallel Execution using NEURON\_RT\_NUM\_CORES — AWS Neuron Documentation
_This document is relevant for_: `Inf1`
## Parallel Execution using NEURON\_RT\_NUM\_CORES[#](#parallel-execution-using-neuron-rt-num-cores "Permalink to this headline")
## Introduction[#](#introduction "Permalink to this headline")
Inf1 i... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Parallel Execution using NEURON_RT_NUM_CORES — AWS Neuron Documentation</title>
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<link href="../../../../_static/style... | 2023-09-29T20:54:23.979Z |
Generative LLM inference with Neuron — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/appnotes/transformers-neuronx/generative-llm-inference-with-neuron.html | # Generative LLM inference with Neuron — AWS Neuron Documentation
_This document is relevant for_: `Inf2`, `Trn1`, `Trn1n`
## Generative LLM inference with Neuron[#](#generative-llm-inference-with-neuron "Permalink to this headline")
Table of contents
- [Background](#background)
- [Performance optimization... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Generative LLM inference with Neuron — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css... | 2023-09-29T20:54:24.166Z |
https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/_sources/general/quick-start/index.rst.txt | ```
.. _neuron-quickstart:
Get Started with Neuron
=======================
This section walks you through the various options to get started with Neuron. You have to install Neuron on Trainium and Inferentia powered instances to enable deep-learning acceleration.
.. card:: Get Started with PyTorch
:link: pytorc... | <html><head><meta name="color-scheme" content="light dark"></head><body><pre style="word-wrap: break-word; white-space: pre-wrap;">.. _neuron-quickstart:
Get Started with Neuron
=======================
This section walks you through the various options to get started with Neuron. You have to install Neuron on Trainium... | 2023-09-29T20:54:24.257Z | |
Roadmap — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/roadmap-readme.html | # Roadmap — AWS Neuron Documentation
Toggle in-page Table of Contents
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## Roadmap[#](#roadmap "Permalink to this headline")
The AWS Neuron feature roadmap provides visibility onto what we are working on in terms of functional and performance in the nea... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Roadmap — AWS Neuron Documentation</title>
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<link href="../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="... | 2023-09-29T20:54:24.372Z |
https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/_sources/general/benchmarks/index.rst.txt | ```
.. _benchmark:
Neuron Performance
==================
The Neuron Performance pages provide a reference to the expected performance of various open-source models for popular deep learning in Natural Language Processing (NLP), Computer Vision (CV) and Recommender model tasks. We have included with each model links to... | <html><head><meta name="color-scheme" content="light dark"></head><body><pre style="word-wrap: break-word; white-space: pre-wrap;">.. _benchmark:
Neuron Performance
==================
The Neuron Performance pages provide a reference to the expected performance of various open-source models for popular deep learning in... | 2023-09-29T20:54:24.430Z | |
SDK Maintenance Policy — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/sdk-policy.html | # SDK Maintenance Policy — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## SDK Maintenance Policy[#](#neuron-maintenance-policy "Permalink to this headline")
Table of Contents
- [Overview](#overview)
- [Neuron SDK](#neuron-sdk)
- [Dependency Software](#de... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>SDK Maintenance Policy — AWS Neuron Documentation</title>
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<link href="../_static/styles/theme.css?digest=1999514e3f23... | 2023-09-29T20:54:24.521Z |
https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/_sources/index.rst.txt | ```
Welcome to AWS Neuron
=====================
.. meta::
:description: Neuron SDK is powering AWS Inferentia and Trainium based instances, natively integrated into PyTorch and TensorFlow. Enabling you to quicky start with Amazon EC2, AWS Sagemaker, ECS and EKS.
AWS Neuron is the SDK used to run deep learning work... | <html><head><meta name="color-scheme" content="light dark"></head><body><pre style="word-wrap: break-word; white-space: pre-wrap;">Welcome to AWS Neuron
=====================
.. meta::
:description: Neuron SDK is powering AWS Inferentia and Trainium based instances, natively integrated into PyTorch and TensorFlow. ... | 2023-09-29T20:54:24.592Z | |
https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/_sources/general/quick-start/docs-quicklinks.rst.txt | ```
.. _docs-quick-links:
Neuron Quick Links
==================
.. grid:: 2
.. dropdown:: Overview
:class-title: sphinx-design-class-title-small
:class-body: sphinx-design-class-body-small
:animate: fade-in
:open:
* :ref:`neuron-quickstart`
... | <html><head><meta name="color-scheme" content="light dark"></head><body><pre style="word-wrap: break-word; white-space: pre-wrap;">.. _docs-quick-links:
Neuron Quick Links
==================
.. grid:: 2
.. dropdown:: Overview
:class-title: sphinx-design-class-title-small
:class-body: sp... | 2023-09-29T20:54:24.598Z | |
Release Details — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/release-notes/release.html | # Release Details — AWS Neuron Documentation
Toggle in-page Table of Contents | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Release Details — AWS Neuron Documentation</title>
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<link href="../_static/styles/theme.css?digest=1999514e3f237ded88c... | 2023-09-29T20:54:24.886Z |
Contact Us — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/contact.html | # Contact Us — AWS Neuron Documentation
## Contact Us[#](#contact-us "Permalink to this headline")
For support please checkout the [Github issues](https://github.com/aws/aws-neuron-sdk/issues) or [Neuron AWS forums](https://forums.aws.amazon.com/forum.jspa?forumID=355) for an answer, if none of those resources have a... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Contact Us — AWS Neuron Documentation</title>
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<link href="../_static/styles/theme.css?digest=1999514e3f237ded88cf" re... | 2023-09-29T20:54:25.072Z |
https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/_sources/general/quick-start/github-samples.rst.txt | ```
.. _neuron-github-samples:
Neuron GitHub Samples
=====================
.. grid:: 2
.. dropdown:: Training Samples for ``Trn1``
:class-title: sphinx-design-class-title-small
:class-body: sphinx-design-class-body-small
:animate: fade-in
:open... | <html><head><meta name="color-scheme" content="light dark"></head><body><pre style="word-wrap: break-word; white-space: pre-wrap;">.. _neuron-github-samples:
Neuron GitHub Samples
=====================
.. grid:: 2
.. dropdown:: Training Samples for ``Trn1``
:class-title: sphinx-design-class-... | 2023-09-29T20:54:25.155Z | |
Security Disclosures — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/security.html | # Security Disclosures — AWS Neuron Documentation
_This document is relevant for_: `Inf1`, `Inf2`, `Trn1`, `Trn1n`
## Security Disclosures[#](#security-disclosures "Permalink to this headline")
If you think you’ve found a potential security issue, please do not post it in the Issues. Instead, please follow the instr... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Security Disclosures — AWS Neuron Documentation</title>
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<link href="../_static/styles/theme.css?digest=1999514e3f237d... | 2023-09-29T20:54:25.356Z |
Inf2 Performance — AWS Neuron Documentation | https://awsdocs-neuron.readthedocs-hosted.com/en/v2.14.1/general/benchmarks/inf2/inf2-performance.html#inf2-performance | # Inf2 Performance — AWS Neuron Documentation
_This document is relevant for_: `Inf2`
## Inf2 Performance[#](#inf2-performance "Permalink to this headline")
Table of contents
- [Language Models Inference Performance](#language-models-inference-performance)
- [Large Language Models Inference Performance](#l... | <!DOCTYPE html><html lang="en"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Inf2 Performance — AWS Neuron Documentation</title>
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<link href="../../../_static/styles/theme.css?digest=1999514e3f23... | 2023-09-29T20:54:25.997Z |
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