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chore(beep boop 🤖): Bump `MCORE_TAG=4c4215f...` (2024-11-15)
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🚀 PR to bump `NVIDIA/Megatron-LM` in `Dockerfile.ci` to `MCORE_TAG=4c4215fd7570975ef817757d8bfd466d29d51dca`. 📝 Please remember the following to-do's before merge: - [ ] Verify the presubmit CI 🙏 Please merge this PR only if the CI workflow completed successfully.
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Enable cudagraphs for Peft and Pretraining
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# What does this PR do ? Adds padding support for packed sequences, enables mcore cudagraph knobs. This depends on an mcore PR that has not been merged. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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# What does this PR do ? https://gitlab-master.nvidia.com/ADLR/megatron-lm/-/merge_requests/2293 we need to fix all occurances in NeMo where TransformerBlock is using a non-mcore TransformerLayer. Otherwise the forward interface between Block and Layer will not match anymore and so NeMo will break **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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# What does this PR do ? Resolve Issue. **AttributeError**: module 'signal' has no attribute 'SIGKILL' **PR Type**: - [x] Bugfix # Additional Information * Related to # (issue)
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chore: Add changelog
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Sortformer Diarizer 4spk v1 model PR Part 1: models, modules and dataloaders
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# What does this PR do ? Sortformer Diarizer Model, 4 speaker limit, v1 [Sortformer Paper Link](https://arxiv.org/pdf/2409.06656) In this PR, we are adding: model files, module files and corresponding dataloader and evalutations. **Collection**: ASR/speaker_tasks # Changelog - model files nemo/collections/asr/models/sortformer_diar_models.py - module files nemo/collections/asr/modules/sortformer_modules.py - evaluation files nemo/collections/asr/metrics/der.py nemo/collections/asr/metrics/multi_binary_acc.py - dataloader files NeMo/nemo/collections/asr/data/audio_to_diar_label.py NeMo/nemo/collections/asr/data/audio_to_diar_label_lhotse.py - training yaml examples/speaker_tasks/diarization/conf/neural_diarizer/sortformer_diarizer_hybrid_loss_4spk-v1.yaml - post-processing yaml files NeMo/examples/speaker_tasks/diarization/conf/post_processing/sortformer_diar_4spk-v1_callhome-part1.yaml NeMo/examples/speaker_tasks/diarization/conf/post_processing/sortformer_diar_4spk-v1_dihard-dev.yaml NeMo/nemo/collections/asr/data/audio_to_diar_label.py NeMo/nemo/collections/asr/data/audio_to_diar_label_lhotse.py - util files NeMo/nemo/collections/asr/parts/utils/speaker_utils.py NeMo/nemo/collections/asr/parts/utils/vad_utils.py - Changed the file names of these yaml files examples/speaker_tasks/diarization/neural_diarizer/sortformer_diar_train.py nemo/collections/asr/data/audio_to_diar_label.py nemo/collections/asr/models/__init__.py nemo/collections/asr/modules/sortformer_modules.py nemo/collections/asr/parts/utils/asr_multispeaker_utils.py nemo/collections/asr/parts/utils/speaker_utils.py nemo/collections/asr/parts/utils/vad_utils.py nemo/collections/common/parts/preprocessing/collections.py # Usage * You can potentially add a usage example below ```bash python ${NEMO_ROOT}/examples/speaker_tasks/diarization/neural_diarizer/e2e_diarize_speech.py \ model_path=/path/to/diar_sortformer_4spk-v1.nemo \ dataset_manifest=/path/to/eval_dataset.json ``` # GitHub Actions CI CI tests will be added in the second PR. Third PR will include documents and tutorials. # Before your PR is "Ready for review" **Pre checks**: - [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [x] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [x] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the ASR and speaker_tasks
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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chore(beep boop 🤖): Bump `MCORE_TAG=64cbae5...` (2024-11-14)
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🚀 PR to bump `NVIDIA/Megatron-LM` in `Dockerfile.ci` to `MCORE_TAG=64cbae55ac85cd73fbadbc3c0d715c8123c5e13b`. 📝 Please remember the following to-do's before merge: - [ ] Verify the presubmit CI 🙏 Please merge this PR only if the CI workflow completed successfully.
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# What does this PR do ? This MR provides an interface to enable the UCC backend for PP communication. To enable the UCC backend, set the following argument: `training.model.pipeline_model_parallel_comm_backend=ucc` Requires a related MCore MR ([link](https://gitlab-master.nvidia.com/ADLR/megatron-lm/-/merge_requests/2116)).
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using skip_nan_grad with gradient accumulation for ASR
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Hi, I notice that while training the ASR fastconformer model on my data, some after a few epochs there can be a batch that cause NaN error. So, I tried setting skip_nan_grad = True, which allow the train_loss curve to look normal (without spiking to NaN), but I notice in the error log that after the message "detected inf or nan values in gradients! Setting gradients to zero.", the all prediction in the following validation rounds are "??" and the validation wer increased to 1. I set accumulate_grad_batches to 4 for the training so I wonder whether this might be the culprit. Does setting skip_nan_grad = True can still work with gradient accumulation. I'd really appreciate any comment you can give on the issue!
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# What does this PR do ? Add decrease batch size option for number of micro batch size calculator for KSO support. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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# What does this PR do ? Introducing TensorRT lazy export and caching option with trt_compile(): - TRT engine build happens on first forward() call, using either ONNX->TRT or Torch-TensorRT and the inputs passed to forward() - Dynamic dimensions can be specified either via 'input_profiles' argument (full-blowt TRT optimization profile values) or 'dynamic_batchsize' argument (batch dimension min/opt/max only). - The engine is serialized to the disk for reuse See inline documentation in the source for more details. # Usage ``` args = {"method": "torch_trt"} model = trt_compile( model, "path_to_save_engine", args=args, )
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# What does this PR do ? Change PR template for config validation **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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# What does this PR do ? place to make all changes to support nemotron5 training **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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TE acceleration using callbacks
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# What does this PR do ? Accelerates HF models with TE.
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chore(beep boop 🤖): Bump `MCORE_TAG=aded519...` (2024-11-12)
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[ "[🤖]: Hi @ko3n1g 👋,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11802050066) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g...
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🚀 PR to bump `NVIDIA/Megatron-LM` in `Dockerfile.ci` to `MCORE_TAG=aded519cfb1de2abf96f36ca059f992294b7876f`. 📝 Please remember the following to-do's before merge: - [ ] Verify the presubmit CI 🙏 Please merge this PR only if the CI workflow completed successfully.
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Remove builder_opt param from trtllm-build for TensorRT-LLM >= 0.14.0
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# What does this PR do ? Removing deprecated `--builder_opt` param from `trtllm-build` command, see https://github.com/NVIDIA/TensorRT-LLM/releases/tag/v0.14.0. **Collection**: NLP / LLM # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [x] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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PTQ memory optimization
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# What does this PR do ? Reduces the memory overhead of PTQ by leaving the DDP module uninitialised and changing parameters' `dtype` during model loading. **Collection**: llm # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Fail to convert Llama3 Nemo 2.0 checkpoint to HF
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[ "Is there a way we can now save non .distcp files or huggingface .bin files directly after training?\nIf not, how to convert nemo2.0 checkpoint to the community common format?", "Hi, the scripts/checkpoint_converters/convert_llama_nemo_to_hf.py script is only for NeMo 1.0 checkpoints. To export 2.0 checkpoints, y...
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**Describe the bug** I use Nemo 2.0 to train my model and get Nemo 2.0 checkpoint like this with .distcp files: model_name ├── context │ ├── model_config.yaml │ ├── io.json │ └── tokenizer ├── weights │ ├── distributed checkpointing directories/files in torch_dist format │ ├── metadata.json │ └── common.pt but filed to use NeMo/scripts/checkpoint_converters/convert_llama_nemo_to_hf.py to export it to a HF file **Expected behavior** get HF files by Nemo2.0 checkpoint
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fix(export): GPT models w/ bias=False convert properly
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Bump `Dockerfile.ci` (2024-11-12)
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[ "[🤖]: Hi @ko3n1g 👋,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11788317259) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g...
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🚀 PR to Bump `Dockerfile.ci`. 📝 Please remember the following to-do's before merge: - [ ] Verify the presubmit CI 🙏 Please merge this PR only if the CI workflow completed successfully.
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update nemo1->2 conversion according to changes in main
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Update import 'pytorch_lightning' -> 'lightning.pytorch'
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# What does this PR do ? Use `lightning.pytorch` and `lightning.fabric` Currently, if trying to install from source (`pip install -e ./pytorch-lightning`), only `lightning` package will be installed, not `pytorch_lightning`. Nemo will therefore use the unchanged `pytorch_lightning` package instead of `lightning`. This PR will enable installing `lightning` from source to test updates to `lightning` through Nemo. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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# What does this PR do ? Use `lightning.pytorch` and `lightning.fabric` **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Initialize a Parakeet Cache-Aware Streaming model's encoder from an offline model.
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[ "See the following answer: [https://github.com/NVIDIA/NeMo/issues/9615#issuecomment-2264136385](https://github.com/NVIDIA/NeMo/issues/9615#issuecomment-2264136385)", "Thanks! " ]
2024-11-11T09:21:57
2024-12-08T11:59:19
2024-12-08T11:59:18
CONTRIBUTOR
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Hello, Thank you for all your amazing work! At the moment, nemo only support the fastconformer 120M streaming model, however I would like to also try a bigger model. I was wondering if it is possible to modify the architecture to match de 600M parakeet model and initialize the encoder weights from the offline parakeet model? Otherwise, training a bare 600M streaming model without any SSL pretraining would probably be worse and slower to train than the 120M model. Best regards, Gabi
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Lhotse support for transcribe_speech_parallel
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[ "[🤖]: Hi @nune-tadevosyan 👋,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11777039782) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-gara...
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. Lhotse support for transcribe_speech_parallel **Collection**: [Note which collection this PR will affect] ASR # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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How to convert downloaded local models into Nemo files?
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🚀 PR to Bump `Dockerfile.ci`. 📝 Please remember the following to-do's before merge: - [ ] Verify the presubmit CI 🙏 Please merge this PR only if the CI workflow completed successfully.
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# What does this PR do ? Adds the following new features to the Diffusion Training Framework: - FSDP support - MovieGen 1B/5B/30B Stages 1-3 Training with FSDP + TP/SP + CP - EC-DiT model (https://arxiv.org/abs/2410.02098) - Adds mock video data module for mock training across stages 1-3 - Mixed Image-Video Training with THD Packed Sequencing **Collection**: diffusion # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [X] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [X] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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# What does this PR do ? Adds the following new features to the Diffusion Training Framework: - FSDP support - MovieGen 1B/5B/30B Stages 1-3 Training with FSDP + TP/SP + CP - EC-DiT model (https://arxiv.org/abs/2410.02098) - Adds mock video data module for mock training across stages 1-3 - Mixed Image-Video Training with THD Packed Sequencing **Collection**: diffusion # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [X] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [X] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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🚀 PR to Bump `Dockerfile.ci`. 📝 Please remember the following to-do's before merge: - [ ] Verify the presubmit CI 🙏 Please merge this PR only if the CI workflow completed successfully.
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# What does this PR do ? Save tokenizer in PTQ workflow in order to set it up in `nemo.export` later. **Collection**: NLP & LLM # Changelog - For [NeMo 2](https://github.com/NVIDIA/NeMo/pull/11237/commits/f3d3501155b2fcd32d05f713198150efe47b6e76): copy full NeMo context in the TensorRT-LLM checkpoint export step - For [NeMo 1](https://github.com/NVIDIA/NeMo/pull/11237/commits/c59ab3e89abbdcc4178290ba6e4e350658471477): save HF tokenizer in `huggingface_tokenizer` directory to gradually deprecate "tokenizer_config.yaml" usages - With these changes [`get_tokenizer`](https://github.com/NVIDIA/NeMo/blob/c6048dcba300fd9fd91d161488e2611de122c37a/nemo/export/trt_llm/nemo_ckpt_loader/nemo_file.py#L286-L302) function works for a quantized checkpoint for both Nemo 1 and 2 code paths # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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[ "Left some minor comments, overall LGTM", "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "<!-- pylint-output-strict-mode-false -->\n\nbeep boop 🤖: 🙏 The following files have warnings. In case you are familiar...
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# What does this PR do ? Adds inframework deployment support and log probability output from trt-llm
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Use Mcore ModelParallelConfig in strategy parallelism property
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This uses Mcore's ModelParallelConfig directly in `strategy.parallelism`. This should also enable backwards compatibility with different Mcore versions as it relies on the Mcore class now.
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Need env.yaml or requirements.txt
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[ "as per https://github.com/NVIDIA/NeMo/issues/9793\ndegrading huggingface-hub impacted other packages\n", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "This issue was closed because it has been inactive for 7 days s...
2024-11-08T15:03:27
2024-12-16T02:07:10
2024-12-16T02:07:09
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On ubuntu 22.04 tried all varients of python 3.10< but ``` conda create --name nemo python==3.10.12 conda activate nemo apt-get update && apt-get install -y libsndfile1 ffmpeg pip install Cython packaging pip install nemo_toolkit['all'] ``` installation works but multiple errors during code exectution mostly ` ImportError: cannot import name 'ModelFilter' from 'huggingface_hub' (/home/jugal/anaconda3/envs/nemo/lib/python3.10/site-packages/huggingface_hub/__init__.py) ` can someone please export and share their python env along with python version Thank you in advance
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Fix head_size in NeMo to HF checkpoint converters for width pruned model support
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[ "You need to signoff commit: `git commit -s -m \"MESSAGE\"` else NeMo wont allow: https://github.com/NVIDIA/NeMo/pull/11230/checks?check_run_id=32714934933", "FYI) @kevalmorabia97 \r\nWhen I add args related to tokenizer, I encounter errors as below.\r\n\r\nI put manually modified config file to `hf_input_path` a...
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# What does this PR do ? - update llama ckpt converter for supporting width pruning. - change head_size as kv_channels - Because of [width pruning of hidden_size](https://github.com/eagle705/NeMo/blob/main/examples/nlp/language_modeling/megatron_gpt_prune.py#L113), attention head size should be updated by kv_channels. # Changelog - update llama ckpt converter's attention head dim size by kv_channels - `head_size = model.cfg.get("kv_channels") or (hidden_size // head_num)` # Usage ```python hidden_size = model.cfg.hidden_size head_num = model.cfg.num_attention_heads num_layers = model.cfg.num_layers ffn_hidden_size = model.cfg.ffn_hidden_size num_query_groups = model.cfg.get("num_query_groups", head_num) # different num_query_groups for 70B + head_size = model.cfg.get("kv_channels") or (hidden_size // head_num) # equivalent to hf's head_dim - head_size = hidden_size // head_num heads_per_group = head_num // num_query_groups qkv_total_dim = head_num + 2 * num_query_groups ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [x] Bugfix - [ ] Documentation ## Who can review? @kevalmorabia97 # Additional Information Pruned values corresponding to huggingface's config.json should be updated. I added `head_dim (hf)` to hf's config.json with the same value of `kv_channels (nemo)`
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ci: Move `bump mcore` to templates
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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check actual value of vocab_file
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Advanced DiT Training
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# What does this PR do ? Adds the following new features to the Diffusion Training Framework: - FSDP support - MovieGen 1B/5B/30B Stages 1-3 Training with FSDP + TP/SP + CP - EC-DiT model (https://arxiv.org/abs/2410.02098) - Adds mock video data module for mock training across stages 1-3 - Mixed Image-Video Training with THD Packed Sequencing **Collection**: diffusion # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [X] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [X] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Update example usage to disable sequence_parallel
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[ "`sequence_parallel: false` is already added to the default config now so it should not be needed anymore if you use latest container. Can you please confirm?\r\n\r\nhttps://github.com/eagle705/NeMo/blob/main/examples/nlp/language_modeling/conf/megatron_gpt_prune.yaml#L26", "@kevalmorabia97 \r\nRight. It already ...
2024-11-08T05:07:50
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# What does this PR do ? Update example usage about sequence_parallel option to resolve an error below ``` Traceback (most recent call last): File "/opt/NeMo/examples/nlp/language_modeling/megatron_gpt_prune.py", line 93, in main model = MegatronGPTModel.restore_from( File "/opt/NeMo/nemo/collections/nlp/models/nlp_model.py", line 478, in restore_from return super().restore_from( File "/opt/NeMo/nemo/core/classes/modelPT.py", line 468, in restore_from instance = cls._save_restore_connector.restore_from( File "/opt/NeMo/nemo/collections/nlp/parts/nlp_overrides.py", line 1298, in restore_from loaded_params = super().load_config_and_state_dict( File "/opt/NeMo/nemo/core/connectors/save_restore_connector.py", line 182, in load_config_and_state_dict instance = calling_cls.from_config_dict(config=conf, trainer=trainer) File "/opt/NeMo/nemo/core/classes/common.py", line 530, in from_config_dict raise e File "/opt/NeMo/nemo/core/classes/common.py", line 522, in from_config_dict instance = cls(cfg=config, trainer=trainer) File "/opt/NeMo/nemo/collections/nlp/models/language_modeling/megatron_gpt_model.py", line 331, in __init__ super().__init__(cfg, trainer=trainer, no_lm_init=True) File "/opt/NeMo/nemo/collections/nlp/models/language_modeling/megatron_base_model.py", line 146, in __init__ self.model_parallel_config: ModelParallelConfig = self.build_model_parallel_config() File "/opt/NeMo/nemo/collections/nlp/models/language_modeling/megatron_base_model.py", line 1194, in build_model_parallel_config model_parallel_config = ModelParallelConfig(**mp_config_dict) File "<string>", line 58, in __init__ File "/opt/megatron-lm/megatron/core/model_parallel_config.py", line 313, in __post_init__ raise ValueError("Can not use sequence paralllelism without tensor parallelism") ValueError: Can not use sequence paralllelism without tensor parallelism ``` **Collection**: [Note which collection this PR will affect] # Changelog - [Add sequence_parallel false arg](https://github.com/NVIDIA/NeMo/blob/0547550ad803fce1e4a019f92e9c59f4c902e7e0/examples/nlp/language_modeling/megatron_gpt_prune.py#L42) # Usage ``` python examples/nlp/language_modeling/megatron_gpt_prune.py \ model.restore_from_path=llama3.1-8b-instruct.nemo \ model.tensor_model_parallel_size=1 \ model.pipeline_model_parallel_size=8 \ +model.sequence_parallel=false \ <-- add this line trainer.num_nodes=1 \ trainer.precision=bf16 \ trainer.devices=8 \ prune.ffn_hidden_size=9216 \ prune.num_attention_heads=null \ prune.num_query_groups=null \ prune.hidden_size=3072 \ export.save_path=llama3.1-8b-instruct-pruned.nemo ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [x] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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[Question] Is there a way to get the results of each layer of a model?
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2024-11-08T03:42:43
2024-12-16T02:07:11
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Hi, In PyTorch, we can use `register_forward_hook` to capture the output of specific layers. I’m wondering if there’s a similar feature in NeMo or a way to convert a NeMo model to PyTorch to achieve this. Any guidance would be appreciated!
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Update README.md for collection page
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# What does this PR do ? Update README.md for collection page **Collection**: [doc] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [x] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Bump `Dockerfile.ci` (2024-11-08)
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[ "[🤖]: Hi @ko3n1g 👋,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11733639945) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g...
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🚀 PR to Bump `Dockerfile.ci`. 📝 Please remember the following to-do's before merge: - [ ] Verify the presubmit CI 🙏 Please merge this PR only if the CI workflow completed successfully.
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Cherrypick Fix rotary_percentage parsing in nemo2 config (#11197)
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* Fix rotary_percentage parsing in nemo2 config * Add default value # What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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First pass at gpu export in nemo
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[ "<!-- pylint-output-strict-mode-false -->\n\nbeep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base.\n\n---\n\nYour code was analyzed with PyLint. The following annotations have been identified:\n\n```\n************* Module nemo.export...
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tutorial fixes specific to r2.0.0
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Nemo run pretrain raised Exception: No dot product attention support for the provided inputs
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**Describe the bug** When trying to run `nemo` with `gemma_2b`, `Exception: No dot product attention support for the provided inputs!` was returned. ``` [rank0]: Traceback (most recent call last): [rank0]: File "/usr/local/bin/nemo", line 8, in <module> [rank0]: sys.exit(app()) [rank0]: File "/usr/local/lib/python3.10/dist-packages/typer/main.py", line 326, in __call__ [rank0]: raise e [rank0]: File "/usr/local/lib/python3.10/dist-packages/typer/main.py", line 309, in __call__ [rank0]: return get_command(self)(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/click/core.py", line 1157, in __call__ [rank0]: return self.main(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/typer/core.py", line 723, in main [rank0]: return _main( [rank0]: File "/usr/local/lib/python3.10/dist-packages/typer/core.py", line 193, in _main [rank0]: rv = self.invoke(ctx) [rank0]: File "/usr/local/lib/python3.10/dist-packages/click/core.py", line 1688, in invoke [rank0]: return _process_result(sub_ctx.command.invoke(sub_ctx)) [rank0]: File "/usr/local/lib/python3.10/dist-packages/click/core.py", line 1688, in invoke [rank0]: return _process_result(sub_ctx.command.invoke(sub_ctx)) [rank0]: File "/usr/local/lib/python3.10/dist-packages/click/core.py", line 1434, in invoke [rank0]: return ctx.invoke(self.callback, **ctx.params) [rank0]: File "/usr/local/lib/python3.10/dist-packages/click/core.py", line 783, in invoke [rank0]: return __callback(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/typer/main.py", line 692, in wrapper [rank0]: return callback(**use_params) [rank0]: File "/opt/NeMo-Run/src/nemo_run/cli/api.py", line 793, in command [rank0]: self.cli_execute(fn, ctx.args, type) [rank0]: File "/opt/NeMo-Run/src/nemo_run/cli/api.py", line 845, in cli_execute [rank0]: self._execute_task(fn, filtered_args) [rank0]: File "/opt/NeMo-Run/src/nemo_run/cli/api.py", line 895, in _execute_task [rank0]: run_task() [rank0]: File "/opt/NeMo-Run/src/nemo_run/cli/api.py", line 874, in run_task [rank0]: run.run( [rank0]: File "/opt/NeMo-Run/src/nemo_run/run/api.py", line 65, in run [rank0]: direct_run_fn(fn_or_script, dryrun=dryrun) [rank0]: File "/opt/NeMo-Run/src/nemo_run/run/task.py", line 77, in direct_run_fn [rank0]: built_fn() [rank0]: File "/opt/NeMo/nemo/collections/llm/api.py", line 134, in pretrain [rank0]: return train( [rank0]: File "/opt/NeMo/nemo/collections/llm/api.py", line 92, in train [rank0]: trainer.fit(model, data) [rank0]: File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/trainer.py", line 538, in fit [rank0]: call._call_and_handle_interrupt( [rank0]: File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/call.py", line 46, in _call_and_handle_interrupt [rank0]: return trainer.strategy.launcher.launch(trainer_fn, *args, trainer=trainer, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/strategies/launchers/subprocess_script.py", line 105, in launch [rank0]: return function(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/trainer.py", line 574, in _fit_impl [rank0]: self._run(model, ckpt_path=ckpt_path) [rank0]: File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/trainer.py", line 981, in _run [rank0]: results = self._run_stage() [rank0]: File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/trainer.py", line 1023, in _run_stage [rank0]: self._run_sanity_check() [rank0]: File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/trainer.py", line 1052, in _run_sanity_check [rank0]: val_loop.run() [rank0]: File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/loops/utilities.py", line 178, in _decorator [rank0]: return loop_run(self, *args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/loops/evaluation_loop.py", line 135, in run [rank0]: self._evaluation_step(batch, batch_idx, dataloader_idx, dataloader_iter) [rank0]: File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/loops/evaluation_loop.py", line 396, in _evaluation_step [rank0]: output = call._call_strategy_hook(trainer, hook_name, *step_args) [rank0]: File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/call.py", line 319, in _call_strategy_hook [rank0]: output = fn(*args, **kwargs) [rank0]: File "/opt/NeMo/nemo/lightning/pytorch/strategies/megatron_strategy.py", line 571, in validation_step [rank0]: out = self.model.validation_step(dataloader_iter, *args, **kwargs) [rank0]: File "/opt/NeMo/nemo/lightning/megatron_parallel.py", line 342, in validation_step [rank0]: return self._step( [rank0]: File "/opt/NeMo/nemo/lightning/megatron_parallel.py", line 429, in _step [rank0]: return self.forward( [rank0]: File "/opt/NeMo/nemo/lightning/megatron_parallel.py", line 279, in forward [rank0]: microbatch_outputs = step() [rank0]: File "/opt/NeMo/nemo/lightning/megatron_parallel.py", line 1126, in __call__ [rank0]: return self.forward_backward_func( [rank0]: File "/opt/megatron-lm/megatron/core/pipeline_parallel/schedules.py", line 450, in forward_backward_no_pipelining [rank0]: output_tensor, num_tokens = forward_step( [rank0]: File "/opt/megatron-lm/megatron/core/pipeline_parallel/schedules.py", line 273, in forward_step [rank0]: output_tensor, loss_func = forward_step_func(data_iterator, model) [rank0]: File "/opt/NeMo/nemo/lightning/megatron_parallel.py", line 492, in wrapped_forward_step_func [rank0]: output_tensor = _forward_step(model, batch) [rank0]: File "/opt/NeMo/nemo/lightning/megatron_parallel.py", line 742, in wrapped [rank0]: return attr(*args) [rank0]: File "/opt/NeMo/nemo/collections/llm/gpt/model/base.py", line 311, in validation_step [rank0]: return self.forward_step(batch) [rank0]: File "/opt/NeMo/nemo/collections/llm/gpt/model/base.py", line 302, in forward_step [rank0]: return self.config.forward_step_fn(self, batch) [rank0]: File "/opt/NeMo/nemo/collections/llm/gpt/model/base.py", line 101, in gpt_forward_step [rank0]: return model(**forward_args) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1552, in _wrapped_call_impl [rank0]: return self._call_impl(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1561, in _call_impl [rank0]: return forward_call(*args, **kwargs) [rank0]: File "/opt/NeMo/nemo/collections/llm/gpt/model/base.py", line 286, in forward [rank0]: output_tensor = self.module( [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1552, in _wrapped_call_impl [rank0]: return self._call_impl(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1561, in _call_impl [rank0]: return forward_call(*args, **kwargs) [rank0]: File "/opt/megatron-lm/megatron/core/distributed/distributed_data_parallel.py", line 305, in forward [rank0]: return self.module(*inputs, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1552, in _wrapped_call_impl [rank0]: return self._call_impl(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1602, in _call_impl [rank0]: result = forward_call(*args, **kwargs) [rank0]: File "/opt/megatron-lm/megatron/core/transformer/module.py", line 178, in forward [rank0]: outputs = self.module(*inputs, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1552, in _wrapped_call_impl [rank0]: return self._call_impl(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1602, in _call_impl [rank0]: result = forward_call(*args, **kwargs) [rank0]: File "/opt/megatron-lm/megatron/core/models/gpt/gpt_model.py", line 226, in forward [rank0]: hidden_states = self.decoder( [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1552, in _wrapped_call_impl [rank0]: return self._call_impl(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1602, in _call_impl [rank0]: result = forward_call(*args, **kwargs) [rank0]: File "/opt/megatron-lm/megatron/core/transformer/transformer_block.py", line 493, in forward [rank0]: hidden_states, context = layer( [rank0]: File "/opt/megatron-lm/megatron/core/transformer/transformer_layer.py", line 390, in __call__ [rank0]: return super(MegatronModule, self).__call__(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1552, in _wrapped_call_impl [rank0]: return self._call_impl(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1602, in _call_impl [rank0]: result = forward_call(*args, **kwargs) [rank0]: File "/opt/megatron-lm/megatron/core/transformer/transformer_layer.py", line 294, in forward [rank0]: attention_output_with_bias = self.self_attention( [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1552, in _wrapped_call_impl [rank0]: return self._call_impl(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1602, in _call_impl [rank0]: result = forward_call(*args, **kwargs) [rank0]: File "/opt/megatron-lm/megatron/core/transformer/attention.py", line 314, in forward [rank0]: core_attn_out = self.core_attention( [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1552, in _wrapped_call_impl [rank0]: return self._call_impl(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1602, in _call_impl [rank0]: result = forward_call(*args, **kwargs) [rank0]: File "/opt/megatron-lm/megatron/core/extensions/transformer_engine.py", line 699, in forward [rank0]: core_attn_out = super().forward( [rank0]: File "/opt/TransformerEngine/transformer_engine/pytorch/attention.py", line 6984, in forward [rank0]: raise Exception("No dot product attention support for the provided inputs!") [rank0]: Exception: No dot product attention support for the provided inputs! ``` **Steps/Code to reproduce bug** ``` nemo llm pretrain -f gemma_2b trainer.max_steps=10 ``` **Expected behavior** Exception should not pop up or abort. **Environment overview (please complete the following information)** ``` sudo docker run --gpus all --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 -it nvcr.io/nvidia/nemo:dev ``` on GCP VM **Environment details** If NVIDIA docker image is used you don't need to specify these. Otherwise, please provide: - OS version: Ubuntu Ubuntu 22.04.4 LTS - PyTorch version: 2.4.0a0+3bcc3cddb5.nv24.07 - Python version: 3.10.12 **Additional context** GPU model: NVIDIA L4 * 8
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11,217
Fix llm.generate
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[ "[🤖]: Hi @hemildesai 👋,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11731532938) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko...
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2024-11-08T23:16:32
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Add MCore FSDP2 support
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[ "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "<!-- pylint-o...
2024-11-07T20:38:25
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add changes to test pylint [NOT FOR MERGING]
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[ "## Pylint new files checks results: \n```\n************* Module script_for_testing\nscripts/script_for_testing.py:1:0: C0116: Missing function or method docstring (missing-function-docstring)\n\n-----------------------------------\nYour code has been rated at 5.00/10\n```\n\n## Pylint existing files checks results...
2024-11-07T20:04:06
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Separate pylint stage. Make pylint incremental
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# What does this PR do ? - separate `pylint` stage - make `pylint` required for new files - make `pylint` optional for changed files - add `pylint` output as a comment to PR Demo PR: https://github.com/NVIDIA/NeMo/pull/11215 **Collection**: [CI] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [x] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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update default pipeline_parallelism_type
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Cherry pick `update the return type (11210)` into `r2.0.0`
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[🤖]: Hi @nithinraok 👋,<br><br>we've cherry picked #11210 into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience\!
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Fix VP Initialization Issue with Latest MCore
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[ "[🤖]: Hi @suiyoubi 👋,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11743956048) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n...
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# What does this PR do ? Fix the current incompatibility issue with latest MCore due to the recent change https://github.com/NVIDIA/Megatron-LM/commit/4295be1a6c5a0a5d340fa5a081cb741f5b3e863a **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Cherry pick `Self Supervised Pre-Training tutorial Fix (11206)` into `r2.0.0`
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2024-11-07T15:44:16
2024-11-07T17:27:28
2024-11-07T17:27:27
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[🤖]: Hi @monica-sekoyan 👋,<br><br>we've cherry picked #11206 into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience\!
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Availability of Meeting MSDD models
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2024-11-07T15:20:47
2024-12-16T02:07:14
2024-12-16T02:07:14
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Is there any update regarding MSDD for meeting domain publishing?
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ci: Fix secrets detector
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How can I get stt_en_fastconformer_ctc_small pretrain model??
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[ "As far as I can tell, this model doesn't exist. The only \"stt_*_*conformer_ctc_small\" models I've found were Conformer models, not FastConformer. Do you have a link to this model?", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed ...
2024-11-07T10:29:30
2024-12-20T01:58:56
2024-12-20T01:58:56
NONE
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I fill "stt_en_fastconformer_ctc_small" in init_from_pretrained_model but i get an error "not found" the "stt_en_fastconformer_ctc_small" ```yaml name: "FastConformer-CTC-BPE" # name: "model STT N test" init_from_pretrained_model: "stt_en_fastconformer_ctc_small" model: sample_rate: 16000 log_prediction: true # enables logging sample predictions in the output during training ctc_reduction: 'mean_volume' skip_nan_grad: false model_defaults: pred_hidden: 320 joint_hidden: 320 train_ds: manifest_filepath: /home/team_voice/STT_pdnguyen/finetune-fast-conformer_14m/metadata_train/fubon_add_all_data_train_10_10_2024.json sample_rate: ${model.sample_rate} batch_size: 1 # you may increase batch_size if your memory allows shuffle: true num_workers: 32 pin_memory: true max_duration: 20 # it is set for LibriSpeech, you may need to update it for your dataset min_duration: 0.3 # tarred datasets is_tarred: false tarred_audio_filepaths: null shuffle_n: 2048 # bucketing params bucketing_strategy: "fully_randomized" bucketing_batch_size: null ```
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Hyena wrapper: Weight decay override function
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2024-11-07T08:40:54
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# What does this PR do ? Hyena wrapper: Weight decay override function Still TODO: Apply it in non-test scenario **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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ci: Update cherry pick workflow
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2024-11-07T08:26:21
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Cherry pick ` (10570)` into `r2.0.0`
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beep boop [🤖]: Hi @janekl 👋, we've cherry picked #10570 into `r2.0.0` for you! 🚀 Please review and approve this cherry pick by your convenience!
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NameError: name' flash_attn_with_kvcache 'is not defined
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[ "what is the output of `pip freeze`?\n\n I'm running `flash-attn==2.0.4` and `nemo_toolkit==1.23.0` and \n\n```\n>>> from nemo.collections.nlp.modules.common.megatron.attention import CoreAttention\n```\n\nruns without issue", "This issue is stale because it has been open for 30 days with no activity. Remove stal...
2024-11-07T03:24:44
2024-12-22T02:03:10
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**Describe the bug** When I use flash attn=2.0.4, running Nemo will result in an error `NameError: name' flash_attn_with_kvcache 'is not defined` After checking the [code,](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/modules/common/megatron/attention.py) I found that when ```python try: # Flash Attention 1.X from flash_attn.bert_padding import pad_input, unpad_input from flash_attn.flash_attn_interface import flash_attn_unpadded_func HAVE_FLASH_ATTENTION = True flash_attn_func = None ``` After success, below ```python except (ImportError, ModuleNotFoundError): try: from flash_attn import flash_attn_with_kvcache except flash_attn_with_kvcache = None ``` I won't execute it So below ```python if ( flash_attn_with_kvcache is not None and self.use_flash_attention and rotary_pos_emb is not None and inference_max_sequence_len and not set_inference_key_value_memory ) ``` The above error will be reported, I think this is a bug, right?
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Handle _io_unflatten_object when _thread_local.output_dir is not available
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This prevents errors of the form ``` penwebtext/0 [default0]: File "/opt/NeMo/nemo/lightning/io/mixin.py", line 564, in _io_unflatten_object penwebtext/0 [default0]: assert hasattr(_thread_local, "output_dir") penwebtext/0 [default0]:AssertionError ```
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Test - ignore
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Fix rotary_percentage parsing in nemo2 config
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Bump `Dockerfile.ci` (2024-11-07)
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🚀 PR to Bump `Dockerfile.ci`. 📝 Please remember the following to-do's before merge: - [ ] Verify the presubmit CI 🙏 Please merge this PR only if the CI workflow completed successfully.
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add ipython import guard (#11191)
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cherry_pick from #11191 # What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Add support for Cosmos Tokenizers
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: This creates a new collection under common/video_tokenizers. Specifically, this collection creates a NeMo PyTorch lightning model for the Cosmos Tokenizers. # Changelog - Add a PyTorch lightning model for the Cosmos Tokenizers - Add an example for multi-modal autoregressive image generation with Cosmos Tokenizer - Add an example for preparing a megatron-energon dataset with Cosmos Tokenizer # Usage * We provide README's under the following directories * `nemo/collections/common/video_tokenizers` * `nemo/collections/diffusion/data` * `nemo/collections/multimodal_autoregressive/data` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Add T5TTS
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# What does this PR do ? Adds T5 TTS model **Collection**: tts, nlp # Changelog - Adds T5 TTS model # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ```
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Fix canary adapters tutorial r2 0 0
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add ipython import guard
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