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+ Classifier: Development Status :: 5 - Production/Stable
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+ Classifier: Intended Audience :: Developers
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+ Classifier: Intended Audience :: Education
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+ Classifier: Intended Audience :: Science/Research
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+ Classifier: Topic :: Scientific/Engineering
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+ Classifier: Topic :: Scientific/Engineering :: Mathematics
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+ Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
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+ Requires-Dist: pyyaml; extra == "pyyaml"
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+ Description-Content-Type: text/markdown
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+
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+ <picture>
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+ <source media="(prefers-color-scheme: dark)" srcset="https://github.com/pytorch/pytorch/raw/main/docs/source/_static/img/pytorch-logo-light.png" />
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+ <source media="(prefers-color-scheme: light)" srcset="https://github.com/pytorch/pytorch/raw/main/docs/source/_static/img/pytorch-logo-dark.png" />
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+ <img src="https://github.com/pytorch/pytorch/raw/main/docs/source/_static/img/pytorch-logo-dark.png" alt="PyTorch logo" />
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+ </picture>
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+
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+ --------------------------------------------------------------------------------
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+
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+ PyTorch is a Python package that provides two high-level features:
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+ - Tensor computation (like NumPy) with strong GPU acceleration
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+ - Deep neural networks built on a tape-based autograd system
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+
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+ You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
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+
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+ Our trunk health (Continuous Integration signals) can be found at [hud.pytorch.org](https://hud.pytorch.org/ci/pytorch/pytorch/main).
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+
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+ <!-- toc -->
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+
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+ - [More About PyTorch](#more-about-pytorch)
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+ - [A GPU-Ready Tensor Library](#a-gpu-ready-tensor-library)
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+ - [Dynamic Neural Networks: Tape-Based Autograd](#dynamic-neural-networks-tape-based-autograd)
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+ - [Python First](#python-first)
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+ - [Imperative Experiences](#imperative-experiences)
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+ - [Fast and Lean](#fast-and-lean)
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+ - [Extensions Without Pain](#extensions-without-pain)
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+ - [Installation](#installation)
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+ - [Binaries](#binaries)
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+ - [NVIDIA Jetson Platforms](#nvidia-jetson-platforms)
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+ - [From Source](#from-source)
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+ - [Prerequisites](#prerequisites)
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+ - [NVIDIA CUDA Support](#nvidia-cuda-support)
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+ - [AMD ROCm Support](#amd-rocm-support)
165
+ - [Intel GPU Support](#intel-gpu-support)
166
+ - [Get the PyTorch Source](#get-the-pytorch-source)
167
+ - [Install Dependencies](#install-dependencies)
168
+ - [Install PyTorch](#install-pytorch)
169
+ - [Adjust Build Options (Optional)](#adjust-build-options-optional)
170
+ - [Docker Image](#docker-image)
171
+ - [Using pre-built images](#using-pre-built-images)
172
+ - [Building the image yourself](#building-the-image-yourself)
173
+ - [Building the Documentation](#building-the-documentation)
174
+ - [Troubleshooting CI Errors](#troubleshooting-ci-errors)
175
+ - [Building a PDF](#building-a-pdf)
176
+ - [Previous Versions](#previous-versions)
177
+ - [Getting Started](#getting-started)
178
+ - [Resources](#resources)
179
+ - [Communication](#communication)
180
+ - [Releases and Contributing](#releases-and-contributing)
181
+ - [The Team](#the-team)
182
+ - [License](#license)
183
+
184
+ <!-- tocstop -->
185
+
186
+ ## More About PyTorch
187
+
188
+ [Learn the basics of PyTorch](https://pytorch.org/tutorials/beginner/basics/intro.html)
189
+
190
+ At a granular level, PyTorch is a library that consists of the following components:
191
+
192
+ | Component | Description |
193
+ | ---- | --- |
194
+ | [**torch**](https://pytorch.org/docs/stable/torch.html) | A Tensor library like NumPy, with strong GPU support |
195
+ | [**torch.autograd**](https://pytorch.org/docs/stable/autograd.html) | A tape-based automatic differentiation library that supports all differentiable Tensor operations in torch |
196
+ | [**torch.jit**](https://pytorch.org/docs/stable/jit.html) | A compilation stack (TorchScript) to create serializable and optimizable models from PyTorch code |
197
+ | [**torch.nn**](https://pytorch.org/docs/stable/nn.html) | A neural networks library deeply integrated with autograd designed for maximum flexibility |
198
+ | [**torch.multiprocessing**](https://pytorch.org/docs/stable/multiprocessing.html) | Python multiprocessing, but with magical memory sharing of torch Tensors across processes. Useful for data loading and Hogwild training |
199
+ | [**torch.utils**](https://pytorch.org/docs/stable/data.html) | DataLoader and other utility functions for convenience |
200
+
201
+ Usually, PyTorch is used either as:
202
+
203
+ - A replacement for NumPy to use the power of GPUs.
204
+ - A deep learning research platform that provides maximum flexibility and speed.
205
+
206
+ Elaborating Further:
207
+
208
+ ### A GPU-Ready Tensor Library
209
+
210
+ If you use NumPy, then you have used Tensors (a.k.a. ndarray).
211
+
212
+ ![Tensor illustration](https://github.com/pytorch/pytorch/raw/main/docs/source/_static/img/tensor_illustration.png)
213
+
214
+ PyTorch provides Tensors that can live either on the CPU or the GPU and accelerates the
215
+ computation by a huge amount.
216
+
217
+ We provide a wide variety of tensor routines to accelerate and fit your scientific computation needs
218
+ such as slicing, indexing, mathematical operations, linear algebra, reductions.
219
+ And they are fast!
220
+
221
+ ### Dynamic Neural Networks: Tape-Based Autograd
222
+
223
+ PyTorch has a unique way of building neural networks: using and replaying a tape recorder.
224
+
225
+ Most frameworks such as TensorFlow, Theano, Caffe, and CNTK have a static view of the world.
226
+ One has to build a neural network and reuse the same structure again and again.
227
+ Changing the way the network behaves means that one has to start from scratch.
228
+
229
+ With PyTorch, we use a technique called reverse-mode auto-differentiation, which allows you to
230
+ change the way your network behaves arbitrarily with zero lag or overhead. Our inspiration comes
231
+ from several research papers on this topic, as well as current and past work such as
232
+ [torch-autograd](https://github.com/twitter/torch-autograd),
233
+ [autograd](https://github.com/HIPS/autograd),
234
+ [Chainer](https://chainer.org), etc.
235
+
236
+ While this technique is not unique to PyTorch, it's one of the fastest implementations of it to date.
237
+ You get the best of speed and flexibility for your crazy research.
238
+
239
+ ![Dynamic graph](https://github.com/pytorch/pytorch/raw/main/docs/source/_static/img/dynamic_graph.gif)
240
+
241
+ ### Python First
242
+
243
+ PyTorch is not a Python binding into a monolithic C++ framework.
244
+ It is built to be deeply integrated into Python.
245
+ You can use it naturally like you would use [NumPy](https://www.numpy.org/) / [SciPy](https://www.scipy.org/) / [scikit-learn](https://scikit-learn.org) etc.
246
+ You can write your new neural network layers in Python itself, using your favorite libraries
247
+ and use packages such as [Cython](https://cython.org/) and [Numba](https://numba.pydata.org/).
248
+ Our goal is to not reinvent the wheel where appropriate.
249
+
250
+ ### Imperative Experiences
251
+
252
+ PyTorch is designed to be intuitive, linear in thought, and easy to use.
253
+ When you execute a line of code, it gets executed. There isn't an asynchronous view of the world.
254
+ When you drop into a debugger or receive error messages and stack traces, understanding them is straightforward.
255
+ The stack trace points to exactly where your code was defined.
256
+ We hope you never spend hours debugging your code because of bad stack traces or asynchronous and opaque execution engines.
257
+
258
+ ### Fast and Lean
259
+
260
+ PyTorch has minimal framework overhead. We integrate acceleration libraries
261
+ such as [Intel MKL](https://software.intel.com/mkl) and NVIDIA ([cuDNN](https://developer.nvidia.com/cudnn), [NCCL](https://developer.nvidia.com/nccl)) to maximize speed.
262
+ At the core, its CPU and GPU Tensor and neural network backends
263
+ are mature and have been tested for years.
264
+
265
+ Hence, PyTorch is quite fast — whether you run small or large neural networks.
266
+
267
+ The memory usage in PyTorch is extremely efficient compared to Torch or some of the alternatives.
268
+ We've written custom memory allocators for the GPU to make sure that
269
+ your deep learning models are maximally memory efficient.
270
+ This enables you to train bigger deep learning models than before.
271
+
272
+ ### Extensions Without Pain
273
+
274
+ Writing new neural network modules, or interfacing with PyTorch's Tensor API, was designed to be straightforward
275
+ and with minimal abstractions.
276
+
277
+ You can write new neural network layers in Python using the torch API
278
+ [or your favorite NumPy-based libraries such as SciPy](https://pytorch.org/tutorials/advanced/numpy_extensions_tutorial.html).
279
+
280
+ If you want to write your layers in C/C++, we provide a convenient extension API that is efficient and with minimal boilerplate.
281
+ No wrapper code needs to be written. You can see [a tutorial here](https://pytorch.org/tutorials/advanced/cpp_extension.html) and [an example here](https://github.com/pytorch/extension-cpp).
282
+
283
+
284
+ ## Installation
285
+
286
+ ### Binaries
287
+ Commands to install binaries via Conda or pip wheels are on our website: [https://pytorch.org/get-started/locally/](https://pytorch.org/get-started/locally/)
288
+
289
+
290
+ #### NVIDIA Jetson Platforms
291
+
292
+ Python wheels for NVIDIA's Jetson Nano, Jetson TX1/TX2, Jetson Xavier NX/AGX, and Jetson AGX Orin are provided [here](https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-10-now-available/72048) and the L4T container is published [here](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch)
293
+
294
+ They require JetPack 4.2 and above, and [@dusty-nv](https://github.com/dusty-nv) and [@ptrblck](https://github.com/ptrblck) are maintaining them.
295
+
296
+
297
+ ### From Source
298
+
299
+ #### Prerequisites
300
+ If you are installing from source, you will need:
301
+ - Python 3.10 or later
302
+ - A compiler that fully supports C++20, such as clang or gcc (gcc 11.3.0 or newer is required, on Linux)
303
+ - Visual Studio or Visual Studio Build Tool (Windows only)
304
+ - At least 10 GB of free disk space
305
+ - 30-60 minutes for the initial build (subsequent rebuilds are much faster)
306
+
307
+ \* PyTorch CI uses Visual C++ BuildTools, which come with Visual Studio Enterprise,
308
+ Professional, or Community Editions. You can also install the build tools from
309
+ https://visualstudio.microsoft.com/visual-cpp-build-tools/. The build tools *do not*
310
+ come with Visual Studio Code by default.
311
+
312
+ An example of environment setup is shown below:
313
+
314
+ * Linux:
315
+
316
+ ```bash
317
+ $ source <CONDA_INSTALL_DIR>/bin/activate
318
+ $ conda create -y -n <CONDA_NAME>
319
+ $ conda activate <CONDA_NAME>
320
+ ```
321
+ * Windows:
322
+
323
+ ```bash
324
+ $ source <CONDA_INSTALL_DIR>\Scripts\activate.bat
325
+ $ conda create -y -n <CONDA_NAME>
326
+ $ conda activate <CONDA_NAME>
327
+ $ call "C:\Program Files\Microsoft Visual Studio\<VERSION>\Community\VC\Auxiliary\Build\vcvarsall.bat" x64
328
+ ```
329
+
330
+ A conda environment is not required. You can also do a PyTorch build in a
331
+ standard virtual environment, e.g., created with tools like `uv`, provided
332
+ your system has installed all the necessary dependencies unavailable as pip
333
+ packages (e.g., CUDA, MKL.)
334
+
335
+ ##### NVIDIA CUDA Support
336
+ If you want to compile with CUDA support, [select a supported version of CUDA from our support matrix](https://pytorch.org/get-started/locally/), then install the following:
337
+ - [NVIDIA CUDA](https://developer.nvidia.com/cuda-downloads)
338
+ - [NVIDIA cuDNN](https://developer.nvidia.com/cudnn) v9.0 or above
339
+ - [Compiler](https://gist.github.com/ax3l/9489132) compatible with CUDA
340
+
341
+ Note: You could refer to the [cuDNN Support Matrix](https://docs.nvidia.com/deeplearning/cudnn/backend/latest/reference/support-matrix.html) for cuDNN versions with the various supported CUDA, CUDA driver, and NVIDIA hardware.
342
+
343
+ If you want to disable CUDA support, export the environment variable `USE_CUDA=0`.
344
+ Other potentially useful environment variables are documented in `cmake/EnvVarForwarding.cmake`. If
345
+ CUDA is installed in a non-standard location, set PATH so that the nvcc you
346
+ want to use can be found (e.g., `export PATH=/usr/local/cuda-12.8/bin:$PATH`).
347
+
348
+ If you are building for NVIDIA's Jetson platforms (Jetson Nano, TX1, TX2, AGX Xavier), Instructions to install PyTorch for Jetson Nano are [available here](https://devtalk.nvidia.com/default/topic/1049071/jetson-nano/pytorch-for-jetson-nano/)
349
+
350
+ ##### AMD ROCm Support
351
+ If you want to compile with ROCm support, install
352
+ - [AMD ROCm](https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html) 4.0 and above installation
353
+ - ROCm is currently supported only for Linux systems.
354
+
355
+ By default the build system expects ROCm to be installed in `/opt/rocm`. If ROCm is installed in a different directory, the `ROCM_PATH` environment variable must be set to the ROCm installation directory. The build system automatically detects the AMD GPU architecture. Optionally, the AMD GPU architecture can be explicitly set with the `PYTORCH_ROCM_ARCH` environment variable [AMD GPU architecture](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html#supported-gpus)
356
+
357
+ If you want to disable ROCm support, export the environment variable `USE_ROCM=0`.
358
+ Other potentially useful environment variables are documented in `cmake/EnvVarForwarding.cmake`.
359
+
360
+ ##### Intel GPU Support
361
+ If you want to compile with Intel GPU support, follow these
362
+ - [PyTorch Prerequisites for Intel GPUs](https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpu.html) instructions.
363
+ - Intel GPU is supported for Linux and Windows.
364
+
365
+ If you want to disable Intel GPU support, export the environment variable `USE_XPU=0`.
366
+ Other potentially useful environment variables are documented in `cmake/EnvVarForwarding.cmake`.
367
+
368
+ #### Get the PyTorch Source
369
+
370
+ ```bash
371
+ git clone https://github.com/pytorch/pytorch
372
+ cd pytorch
373
+ # if you are updating an existing checkout
374
+ git submodule sync
375
+ git submodule update --init --recursive
376
+ ```
377
+
378
+ #### Install Dependencies
379
+
380
+ **Common**
381
+
382
+ ```bash
383
+ # Run this command from the PyTorch directory after cloning the source code using the “Get the PyTorch Source“ section above
384
+ pip install --group dev
385
+ ```
386
+
387
+ **On Linux**
388
+
389
+ ```bash
390
+ pip install mkl-static mkl-include
391
+ # CUDA only: Add LAPACK support for the GPU if needed
392
+ # magma installation: run with active conda environment. specify CUDA version to install
393
+ .ci/docker/common/install_magma_conda.sh 12.4
394
+
395
+ # (optional) If using torch.compile with inductor/triton, install the matching version of triton
396
+ # Run from the pytorch directory after cloning
397
+ # For Intel GPU support, please explicitly `export USE_XPU=1` before running command.
398
+ make triton
399
+ ```
400
+
401
+ **On Windows**
402
+
403
+ ```bash
404
+ pip install mkl-static mkl-include
405
+ # Add these packages if torch.distributed is needed.
406
+ # Distributed package support on Windows is a prototype feature and is subject to changes.
407
+ conda install -c conda-forge libuv=1.51
408
+ ```
409
+
410
+ #### Install PyTorch
411
+
412
+ **On Linux**
413
+
414
+ If you're compiling for AMD ROCm then first run this command:
415
+
416
+ ```bash
417
+ # Only run this if you're compiling for ROCm
418
+ python tools/amd_build/build_amd.py
419
+ ```
420
+
421
+ Install PyTorch
422
+
423
+ ```bash
424
+ # the CMake prefix for conda environment
425
+ export CMAKE_PREFIX_PATH="${CONDA_PREFIX:-'$(dirname $(which conda))/../'}:${CMAKE_PREFIX_PATH}"
426
+ python -m pip install --no-build-isolation -v -e .
427
+
428
+ # the CMake prefix for non-conda environment, e.g. Python venv
429
+ # call following after activating the venv
430
+ export CMAKE_PREFIX_PATH="${VIRTUAL_ENV}:${CMAKE_PREFIX_PATH}"
431
+ ```
432
+
433
+ **On macOS**
434
+
435
+ ```bash
436
+ python -m pip install --no-build-isolation -v -e .
437
+ ```
438
+
439
+ **On Windows**
440
+
441
+ If you want to build legacy python code, please refer to [Building on legacy code and CUDA](https://github.com/pytorch/pytorch/blob/main/CONTRIBUTING.md#building-on-legacy-code-and-cuda)
442
+
443
+ **CPU-only builds**
444
+
445
+ In this mode PyTorch computations will run on your CPU, not your GPU.
446
+
447
+ ```cmd
448
+ python -m pip install --no-build-isolation -v -e .
449
+ ```
450
+
451
+ Note on OpenMP: The desired OpenMP implementation is Intel OpenMP (iomp). In order to link against iomp, you'll need to manually download the library and set up the building environment by tweaking `CMAKE_INCLUDE_PATH` and `LIB`. The instruction [here](https://docs.pytorch.org/docs/main/notes/windows.html#building-from-source) is an example for setting up both MKL and Intel OpenMP. Without these configurations for CMake, Microsoft Visual C OpenMP runtime (vcomp) will be used.
452
+
453
+ **CUDA based build**
454
+
455
+ In this mode PyTorch computations will leverage your GPU via CUDA for faster number crunching
456
+
457
+ [NVTX](https://docs.nvidia.com/gameworks/content/gameworkslibrary/nvtx/nvidia_tools_extension_library_nvtx.htm) is needed to build PyTorch with CUDA.
458
+ NVTX is a part of CUDA distributive, where it is called "Nsight Compute". To install it onto an already installed CUDA run CUDA installation once again and check the corresponding checkbox.
459
+ Make sure that CUDA with Nsight Compute is installed after Visual Studio.
460
+
461
+ Currently, VS 2017 / 2019, and Ninja are supported as the generator of CMake. If `ninja.exe` is detected in `PATH`, then Ninja will be used as the default generator, otherwise, it will use VS 2017 / 2019.
462
+ <br/> If Ninja is selected as the generator, the latest MSVC will get selected as the underlying toolchain.
463
+
464
+ Additional libraries such as
465
+ [Magma](https://developer.nvidia.com/magma), [oneDNN, a.k.a. MKLDNN or DNNL](https://github.com/oneapi-src/oneDNN), and [Sccache](https://github.com/mozilla/sccache) are often needed. Please refer to the [installation-helper](https://github.com/pytorch/pytorch/tree/main/.ci/pytorch/win-test-helpers/installation-helpers) to install them.
466
+
467
+ You can refer to the [build_pytorch.bat](https://github.com/pytorch/pytorch/blob/main/.ci/pytorch/win-test-helpers/build_pytorch.bat) script for some other environment variables configurations
468
+
469
+ ```cmd
470
+ cmd
471
+
472
+ :: Set the environment variables after you have downloaded and unzipped the mkl package,
473
+ :: else CMake would throw an error as `Could NOT find OpenMP`.
474
+ set CMAKE_INCLUDE_PATH={Your directory}\mkl\include
475
+ set LIB={Your directory}\mkl\lib;%LIB%
476
+
477
+ :: Read the content in the previous section carefully before you proceed.
478
+ :: [Optional] If you want to override the underlying toolset used by Ninja and Visual Studio with CUDA, please run the following script block.
479
+ :: "Visual Studio 2019 Developer Command Prompt" will be run automatically.
480
+ :: Make sure you have CMake >= 3.12 before you do this when you use the Visual Studio generator.
481
+ set CMAKE_GENERATOR_TOOLSET_VERSION=14.27
482
+ set DISTUTILS_USE_SDK=1
483
+ for /f "usebackq tokens=*" %i in (`"%ProgramFiles(x86)%\Microsoft Visual Studio\Installer\vswhere.exe" -version [15^,17^) -products * -latest -property installationPath`) do call "%i\VC\Auxiliary\Build\vcvarsall.bat" x64 -vcvars_ver=%CMAKE_GENERATOR_TOOLSET_VERSION%
484
+
485
+ :: [Optional] If you want to override the CUDA host compiler
486
+ set CUDAHOSTCXX=C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.27.29110\bin\HostX64\x64\cl.exe
487
+
488
+ python -m pip install --no-build-isolation -v -e .
489
+ ```
490
+
491
+ **Intel GPU builds**
492
+
493
+ In this mode PyTorch with Intel GPU support will be built.
494
+
495
+ Please make sure [the common prerequisites](#prerequisites) as well as [the prerequisites for Intel GPU](#intel-gpu-support) are properly installed and the environment variables are configured prior to starting the build. For build tool support, `Visual Studio 2022` is required.
496
+
497
+ Then PyTorch can be built with the command:
498
+
499
+ ```cmd
500
+ :: CMD Commands:
501
+ :: Set the CMAKE_PREFIX_PATH to help find corresponding packages
502
+ :: %CONDA_PREFIX% only works after `conda activate custom_env`
503
+
504
+ if defined CMAKE_PREFIX_PATH (
505
+ set "CMAKE_PREFIX_PATH=%CONDA_PREFIX%\Library;%CMAKE_PREFIX_PATH%"
506
+ ) else (
507
+ set "CMAKE_PREFIX_PATH=%CONDA_PREFIX%\Library"
508
+ )
509
+
510
+ python -m pip install --no-build-isolation -v -e .
511
+ ```
512
+
513
+ ##### Adjust Build Options (Optional)
514
+
515
+ You can adjust the configuration of CMake variables through environment variables, which the
516
+ build forwards to CMake (see [`cmake/EnvVarForwarding.cmake`](./cmake/EnvVarForwarding.cmake) for
517
+ the full list). For example, pointing the build at a specific Conda prefix, CuDNN, or BLAS:
518
+
519
+ On Linux
520
+
521
+ ```bash
522
+ export CMAKE_PREFIX_PATH="${CONDA_PREFIX:-'$(dirname $(which conda))/../'}:${CMAKE_PREFIX_PATH}"
523
+ spin develop
524
+ ```
525
+
526
+ On macOS
527
+
528
+ ```bash
529
+ export CMAKE_PREFIX_PATH="${CONDA_PREFIX:-'$(dirname $(which conda))/../'}:${CMAKE_PREFIX_PATH}"
530
+ MACOSX_DEPLOYMENT_TARGET=11.0 spin develop
531
+ ```
532
+
533
+ After a first `spin develop`, you can inspect or adjust the CMake cache interactively with
534
+ `ccmake build` (or `cmake-gui build`) and rebuild with `spin develop`; your edits persist, because
535
+ reconfiguration does not use `--fresh` and environment variables only seed cache entries that are
536
+ not already set. The corollary: once a variable is in the cache, changing its environment variable
537
+ no longer affects it -- edit the cache directly (or delete `build/CMakeCache.txt`) to change it.
538
+ The build type and compiler are the exception; the build always re-applies them.
539
+
540
+ ### Docker Image
541
+
542
+ #### Using pre-built images
543
+
544
+ You can also pull a pre-built docker image from Docker Hub and run with docker v23.0+
545
+
546
+ ```bash
547
+ docker run --gpus all --rm -ti --ipc=host pytorch/pytorch:latest
548
+ ```
549
+
550
+ Please note that PyTorch uses shared memory to share data between processes, so if torch multiprocessing is used (e.g.
551
+ for multithreaded data loaders) the default shared memory segment size that container runs with is not enough, and you
552
+ should increase shared memory size either with `--ipc=host` or `--shm-size` command line options to `nvidia-docker run`.
553
+
554
+ #### Building the image yourself
555
+
556
+ **NOTE:** Must be built with a Docker version >= 23.0
557
+
558
+ The Dockerfile is supplied to build images with CUDA 12.6 support and cuDNN v9.
559
+ You can pass `PYTHON_VERSION=x.y` make variable to specify which Python version is to be used by Miniconda, or leave it
560
+ unset to use the default, as the Dockerfile uses system Python.
561
+
562
+ ```bash
563
+ make -f docker.Makefile
564
+ # images are tagged as docker.io/${your_docker_username}/pytorch
565
+ ```
566
+
567
+ You can also pass the `CMAKE_VARS="..."` environment variable to specify additional CMake variables to be passed to CMake during the build.
568
+ See [`cmake/EnvVarForwarding.cmake`](./cmake/EnvVarForwarding.cmake) for the list of available variables.
569
+
570
+ ```bash
571
+ make -f docker.Makefile
572
+ ```
573
+
574
+ ### Building the Documentation
575
+
576
+ To build documentation in various formats, you will need [Sphinx](https://www.sphinx-doc.org)
577
+ and the `pytorch_sphinx_theme2`.
578
+
579
+ Before you build the documentation locally, ensure `torch` is
580
+ installed in your environment. For small fixes, you can install the
581
+ nightly version as described in [Getting Started](https://pytorch.org/get-started/locally/).
582
+
583
+ For more complex fixes, such as adding a new module and docstrings for
584
+ the new module, you might need to install torch [from source](#from-source).
585
+ See [Docstring Guidelines](https://github.com/pytorch/pytorch/wiki/Docstring-Guidelines)
586
+ for docstring conventions.
587
+
588
+ ```bash
589
+ cd docs/
590
+ pip install -r requirements.txt
591
+ make html
592
+ make serve
593
+ ```
594
+
595
+ Run `make` to get a list of all available output formats.
596
+
597
+ If you get a katex error run `npm install katex`. If it persists, try
598
+ `npm install -g katex`
599
+
600
+ > [!NOTE]
601
+ > If you see a numpy incompatibility error, run:
602
+ > ```
603
+ > pip install 'numpy<2'
604
+ > ```
605
+
606
+
607
+ #### Troubleshooting CI Errors
608
+ Your build may show errors you didn't have locally - here's how to find the errors relevant to the docs.
609
+
610
+ If the build has any errors, you will see something like this on the PR:
611
+
612
+ <img width="781" height="400" alt="Monosnap Update installation instructions for doc build · Pull Request #169534 · pytorch:pytorch 2025-12-18 18-22-53" src="https://github.com/user-attachments/assets/49a3dfe7-81c2-4246-852b-bc3f807e95af" />
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+
614
+ Any doc-related errors will occur in jobs that include "doc" somewhere in the title. It doesn't look like any of these jobs are relevant to our docs.
615
+
616
+
617
+ Let's take a look anyway. Click on the job to see the logs:
618
+
619
+ <img width="1187" height="668" alt="Monosnap Update installation instructions for doc build · pytorch:pytorch@7380336 2025-12-18 18-24-15" src="https://github.com/user-attachments/assets/117df543-8356-4323-8e1c-ef02a95554ba" />
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+
621
+ And we can be sure that this job does not involve docs.
622
+
623
+ Looking at this build, we can see these jobs are relevant to our docs - and they didn't have any errors:
624
+
625
+ <img width="777" height="395" alt="Check the docs jobs" src="https://github.com/user-attachments/assets/5d7c196b-2d40-49ad-87e3-f57de6e14a5b" />
626
+
627
+ You might also see a comment on the PR like this:
628
+
629
+ <img width="651" height="246" alt="PR Comment" src="https://github.com/user-attachments/assets/27e0120a-ba33-4b1c-b4a5-bf3064520586" />
630
+
631
+ We can see that some of these issues are relevant to our docs.
632
+
633
+ Open the logs by clicking on the `gh` link:
634
+
635
+ <img width="873" height="360" alt="View Logs" src="https://github.com/user-attachments/assets/ab5b862f-8026-489c-b95e-a6cd4257e4b7" />
636
+
637
+ And here we can see there is a doc-related error:
638
+
639
+ <img width="1117" height="433" alt="Doc Error" src="https://github.com/user-attachments/assets/0a275921-736d-43a7-ab0f-3e8854d43280" />
640
+
641
+ You can always find the relevant doc builds by going to the `Checks` tab on your PR, and scrolling down to `pull`.
642
+
643
+ <img width="481" height="561" alt="checks" src="https://github.com/user-attachments/assets/eef18f2b-7134-4e2e-bd90-bcdc12800132" />
644
+
645
+ You can either click through or toggle the accordion to see all of the jobs here, where you can see the docs jobs highlighted:
646
+
647
+ <img width="570" height="611" alt="jobs" src="https://github.com/user-attachments/assets/f62812ca-caee-421b-863c-54f38fd28d46" />
648
+
649
+ If you click through, you'll see the doc jobs at the bottom, like this:
650
+
651
+ <img width="354" height="312" alt="View Docs jobs" src="https://github.com/user-attachments/assets/8fadb935-5314-4c4b-a1b5-133781754f03" />
652
+
653
+
654
+ #### Building a PDF
655
+
656
+ To compile a PDF of all PyTorch documentation, ensure you have
657
+ `texlive` and LaTeX installed. On macOS, you can install them using:
658
+
659
+ ```
660
+ brew install --cask mactex
661
+ ```
662
+
663
+ To create the PDF:
664
+
665
+ 1. Run:
666
+
667
+ ```
668
+ make latexpdf
669
+ ```
670
+
671
+ This will generate the necessary files in the `build/latex` directory.
672
+
673
+ 2. Navigate to this directory and execute:
674
+
675
+ ```
676
+ make LATEXOPTS="-interaction=nonstopmode"
677
+ ```
678
+
679
+ This will produce a `pytorch.pdf` with the desired content. Run this
680
+ command one more time so that it generates the correct table
681
+ of contents and index.
682
+
683
+ > [!NOTE]
684
+ > To view the Table of Contents, switch to the **Table of Contents**
685
+ > view in your PDF viewer.
686
+
687
+
688
+ ### Previous Versions
689
+
690
+ Installation instructions and binaries for previous PyTorch versions may be found
691
+ on [our website](https://pytorch.org/get-started/previous-versions).
692
+
693
+
694
+ ## Getting Started
695
+
696
+ Pointers to get you started:
697
+ - [Tutorials: get you started with understanding and using PyTorch](https://pytorch.org/tutorials/)
698
+ - [Examples: easy to understand PyTorch code across all domains](https://github.com/pytorch/examples)
699
+ - [The API Reference](https://pytorch.org/docs/)
700
+ - [Glossary](https://github.com/pytorch/pytorch/blob/main/GLOSSARY.md)
701
+
702
+ ## Resources
703
+
704
+ * [PyTorch.org](https://pytorch.org/)
705
+ * [PyTorch Tutorials](https://pytorch.org/tutorials/)
706
+ * [PyTorch Examples](https://github.com/pytorch/examples)
707
+ * [PyTorch Models](https://pytorch.org/hub/)
708
+ * [Intro to Deep Learning with PyTorch from Udacity](https://www.udacity.com/course/deep-learning-pytorch--ud188)
709
+ * [Intro to Machine Learning with PyTorch from Udacity](https://www.udacity.com/course/intro-to-machine-learning-nanodegree--nd229)
710
+ * [Deep Neural Networks with PyTorch from Coursera](https://www.coursera.org/learn/deep-neural-networks-with-pytorch)
711
+ * [PyTorch Twitter](https://twitter.com/PyTorch)
712
+ * [PyTorch Blog](https://pytorch.org/blog/)
713
+ * [PyTorch YouTube](https://www.youtube.com/channel/UCWXI5YeOsh03QvJ59PMaXFw)
714
+
715
+ ## Communication
716
+ * Forums: Discuss implementations, research, etc. https://discuss.pytorch.org
717
+ * GitHub Issues: Bug reports, feature requests, install issues, RFCs, thoughts, etc.
718
+ * Slack: The [PyTorch Slack](https://pytorch.slack.com/) hosts a primary audience of moderate to experienced PyTorch users and developers for general chat, online discussions, collaboration, etc. If you are a beginner looking for help, the primary medium is [PyTorch Forums](https://discuss.pytorch.org). If you need a slack invite, please fill this form: https://goo.gl/forms/PP1AGvNHpSaJP8to1
719
+ * Newsletter: No-noise, a one-way email newsletter with important announcements about PyTorch. You can sign-up here: https://eepurl.com/cbG0rv
720
+ * Facebook Page: Important announcements about PyTorch. https://www.facebook.com/pytorch
721
+ * For brand guidelines, please visit our website at [pytorch.org](https://pytorch.org/)
722
+
723
+ ## Releases and Contributing
724
+
725
+ Typically, PyTorch has three minor releases a year. Please let us know if you encounter a bug by [filing an issue](https://github.com/pytorch/pytorch/issues).
726
+
727
+ We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion.
728
+
729
+ If you plan to contribute new features, utility functions, or extensions to the core, please first open an issue and discuss the feature with us.
730
+ Sending a PR without discussion might end up resulting in a rejected PR because we might be taking the core in a different direction than you might be aware of.
731
+
732
+ To learn more about making a contribution to PyTorch, please see our [Contribution page](CONTRIBUTING.md). For more information about PyTorch releases, see [Release page](RELEASE.md).
733
+
734
+ ## The Team
735
+
736
+ PyTorch is a community-driven project with several skillful engineers and researchers contributing to it.
737
+
738
+ PyTorch is currently maintained by [Soumith Chintala](https://soumith.ch), [Gregory Chanan](https://github.com/gchanan), [Dmytro Dzhulgakov](https://github.com/dzhulgakov), [Edward Yang](https://github.com/ezyang), [Alban Desmaison](https://github.com/albanD), [Piotr Bialecki](https://github.com/ptrblck) and [Nikita Shulga](https://github.com/malfet) with major contributions coming from hundreds of talented individuals in various forms and means.
739
+ A non-exhaustive but growing list needs to mention: [Trevor Killeen](https://github.com/killeent), [Sasank Chilamkurthy](https://github.com/chsasank), [Sergey Zagoruyko](https://github.com/szagoruyko), [Adam Lerer](https://github.com/adamlerer), [Francisco Massa](https://github.com/fmassa), [Alykhan Tejani](https://github.com/alykhantejani), [Luca Antiga](https://github.com/lantiga), [Alban Desmaison](https://github.com/albanD), [Andreas Koepf](https://github.com/andreaskoepf), [James Bradbury](https://github.com/jekbradbury), [Zeming Lin](https://github.com/ebetica), [Yuandong Tian](https://github.com/yuandong-tian), [Guillaume Lample](https://github.com/glample), [Marat Dukhan](https://github.com/Maratyszcza), [Natalia Gimelshein](https://github.com/ngimel), [Christian Sarofeen](https://github.com/csarofeen), [Martin Raison](https://github.com/martinraison), [Edward Yang](https://github.com/ezyang), [Zachary Devito](https://github.com/zdevito). <!-- codespell:ignore -->
740
+
741
+ Note: This project is unrelated to [hughperkins/pytorch](https://github.com/hughperkins/pytorch) with the same name. Hugh is a valuable contributor to the Torch community and has helped with many things Torch and PyTorch.
742
+
743
+ ## License
744
+
745
+ PyTorch has a BSD-style license, as found in the [LICENSE](LICENSE) file.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/RECORD ADDED
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.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/REQUESTED ADDED
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1
+ Wheel-Version: 1.0
2
+ Generator: scikit-build-core 1.0.3
3
+ Root-Is-Purelib: false
4
+ Tag: cp312-cp312-manylinux_2_28_x86_64
5
+
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/entry_points.txt ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [torchrun.logs_specs]
2
+ default = torch.distributed.elastic.multiprocessing:DefaultLogsSpecs
3
+
4
+ [torch.distributed.backends]
5
+ mpi = torch.distributed.distributed_c10d:_register_builtin_mpi_backend
6
+ gloo = torch.distributed.distributed_c10d:_register_builtin_gloo_backend
7
+ nccl = torch.distributed.distributed_c10d:_register_builtin_nccl_backend
8
+ nccl-legacy = torch.distributed.distributed_c10d:_register_builtin_nccl_legacy_backend
9
+ nccl2 = torch.distributed.distributed_c10d:_register_builtin_nccl2_backend
10
+ nccl-lazy = torch.distributed.distributed_c10d:_register_builtin_nccl_lazy_backend
11
+ ucc = torch.distributed.distributed_c10d:_register_builtin_ucc_backend
12
+ xccl = torch.distributed.distributed_c10d:_register_builtin_xccl_backend
13
+
14
+ [console_scripts]
15
+ torchrun = torch.distributed.run:main
16
+ torchfrtrace = torch.distributed.flight_recorder.fr_trace:main
17
+
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/LICENSE ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ From PyTorch:
2
+
3
+ Copyright (c) 2016- Facebook, Inc (Adam Paszke)
4
+ Copyright (c) 2014- Facebook, Inc (Soumith Chintala)
5
+ Copyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert)
6
+ Copyright (c) 2012-2014 Deepmind Technologies (Koray Kavukcuoglu)
7
+ Copyright (c) 2011-2012 NEC Laboratories America (Koray Kavukcuoglu)
8
+ Copyright (c) 2011-2013 NYU (Clement Farabet)
9
+ Copyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)
10
+ Copyright (c) 2006 Idiap Research Institute (Samy Bengio)
11
+ Copyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)
12
+
13
+ From Caffe2:
14
+
15
+ Copyright (c) 2016-present, Facebook Inc. All rights reserved.
16
+
17
+ All contributions by Facebook:
18
+ Copyright (c) 2016 Facebook Inc.
19
+
20
+ All contributions by Google:
21
+ Copyright (c) 2015 Google Inc.
22
+ All rights reserved.
23
+
24
+ All contributions by Yangqing Jia:
25
+ Copyright (c) 2015 Yangqing Jia
26
+ All rights reserved.
27
+
28
+ All contributions by Kakao Brain:
29
+ Copyright 2019-2020 Kakao Brain
30
+
31
+ All contributions by Cruise LLC:
32
+ Copyright (c) 2022 Cruise LLC.
33
+ All rights reserved.
34
+
35
+ All contributions by Tri Dao:
36
+ Copyright (c) 2024 Tri Dao.
37
+ All rights reserved.
38
+
39
+ All contributions by Arm:
40
+ Copyright (c) 2021, 2023-2025 Arm Limited and/or its affiliates
41
+
42
+ All contributions from Caffe:
43
+ Copyright(c) 2013, 2014, 2015, the respective contributors
44
+ All rights reserved.
45
+
46
+ All other contributions:
47
+ Copyright(c) 2015, 2016 the respective contributors
48
+ All rights reserved.
49
+
50
+ Caffe2 uses a copyright model similar to Caffe: each contributor holds
51
+ copyright over their contributions to Caffe2. The project versioning records
52
+ all such contribution and copyright details. If a contributor wants to further
53
+ mark their specific copyright on a particular contribution, they should
54
+ indicate their copyright solely in the commit message of the change when it is
55
+ committed.
56
+
57
+ All rights reserved.
58
+
59
+ Redistribution and use in source and binary forms, with or without
60
+ modification, are permitted provided that the following conditions are met:
61
+
62
+ 1. Redistributions of source code must retain the above copyright
63
+ notice, this list of conditions and the following disclaimer.
64
+
65
+ 2. Redistributions in binary form must reproduce the above copyright
66
+ notice, this list of conditions and the following disclaimer in the
67
+ documentation and/or other materials provided with the distribution.
68
+
69
+ 3. Neither the names of Facebook, Deepmind Technologies, NYU, NEC Laboratories America
70
+ and IDIAP Research Institute nor the names of its contributors may be
71
+ used to endorse or promote products derived from this software without
72
+ specific prior written permission.
73
+
74
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
75
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
76
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
77
+ ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
78
+ LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
79
+ CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
80
+ SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
81
+ INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
82
+ CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
83
+ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
84
+ POSSIBILITY OF SUCH DAMAGE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/FP16/LICENSE ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ The MIT License (MIT)
2
+
3
+ Copyright (c) 2017 Facebook Inc.
4
+ Copyright (c) 2017 Georgia Institute of Technology
5
+ Copyright 2019 Google LLC
6
+
7
+ Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
8
+
9
+ The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
10
+
11
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/FXdiv/LICENSE ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ The MIT License (MIT)
2
+
3
+ Copyright (c) 2017 Facebook Inc.
4
+ Copyright (c) 2016-2017 Marat Dukhan
5
+
6
+ Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
7
+
8
+ The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
9
+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/NNPACK/LICENSE ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Copyright (c) 2017 Facebook Inc.
2
+ Copyright (c) 2015-2017, Georgia Institute of Technology
3
+ All rights reserved.
4
+
5
+ Redistribution and use in source and binary forms, with or without
6
+ modification, are permitted provided that the following conditions are met:
7
+
8
+ * Redistributions of source code must retain the above copyright notice, this
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+ list of conditions and the following disclaimer.
10
+
11
+ * Redistributions in binary form must reproduce the above copyright notice,
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+ this list of conditions and the following disclaimer in the documentation
13
+ and/or other materials provided with the distribution.
14
+
15
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
16
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
18
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
19
+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
20
+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
21
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
22
+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
23
+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
24
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/NVTX/LICENSE.txt ADDED
@@ -0,0 +1,223 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ==============================================================================
2
+ NVTX is under the Apache License v2.0 with LLVM Exceptions:
3
+ ==============================================================================
4
+
5
+ Apache License
6
+ Version 2.0, January 2004
7
+ http://www.apache.org/licenses/
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+
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+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+
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+ 1. Definitions.
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+
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+ "License" shall mean the terms and conditions for use, reproduction,
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.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/NVTX/docs/LICENSE.txt ADDED
@@ -0,0 +1,223 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ==============================================================================
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+ NVTX is under the Apache License v2.0 with LLVM Exceptions:
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+ ==============================================================================
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+
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+ Apache License
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+ Version 2.0, January 2004
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+ http://www.apache.org/licenses/
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+
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+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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1
+ ==============================================================================
2
+ NVTX is under the Apache License v2.0 with LLVM Exceptions:
3
+ ==============================================================================
4
+
5
+ Apache License
6
+ Version 2.0, January 2004
7
+ http://www.apache.org/licenses/
8
+
9
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
10
+
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+ 1. Definitions.
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+
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+ "License" shall mean the terms and conditions for use, reproduction,
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+ and distribution as defined by Sections 1 through 9 of this document.
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+ "Licensor" shall mean the copyright owner or entity authorized by
17
+ the copyright owner that is granting the License.
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+
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+ "Legal Entity" shall mean the union of the acting entity and all
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+ other entities that control, are controlled by, or are under common
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+ "control" means (i) the power, direct or indirect, to cause the
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+ direction or management of such entity, whether by contract or
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
25
+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
26
+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
27
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
28
+ SOFTWARE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/fbgemm/external/cpuinfo/LICENSE ADDED
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1
+ Copyright (c) 2019 Google LLC
2
+ Copyright (c) 2017-2018 Facebook Inc.
3
+ Copyright (C) 2012-2017 Georgia Institute of Technology
4
+ Copyright (C) 2010-2012 Marat Dukhan
5
+
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+ All rights reserved.
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+
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+ Redistribution and use in source and binary forms, with or without
9
+ modification, are permitted provided that the following conditions are met:
10
+
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+ * Redistributions of source code must retain the above copyright notice, this
12
+ list of conditions and the following disclaimer.
13
+
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+ * Redistributions in binary form must reproduce the above copyright notice,
15
+ this list of conditions and the following disclaimer in the documentation
16
+ and/or other materials provided with the distribution.
17
+
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+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
19
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
20
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
21
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
22
+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
23
+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
24
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
25
+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
26
+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
27
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/fbgemm/external/cpuinfo/deps/clog/LICENSE ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Copyright (C) 2018 Marat Dukhan
2
+ Copyright (c) 2017-2018 Facebook Inc.
3
+ Copyright (c) 2017 Georgia Institute of Technology
4
+
5
+ All rights reserved.
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+
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+ Redistribution and use in source and binary forms, with or without
8
+ modification, are permitted provided that the following conditions are met:
9
+
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+ * Redistributions of source code must retain the above copyright notice, this
11
+ list of conditions and the following disclaimer.
12
+
13
+ * Redistributions in binary form must reproduce the above copyright notice,
14
+ this list of conditions and the following disclaimer in the documentation
15
+ and/or other materials provided with the distribution.
16
+
17
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
18
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
19
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
20
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
21
+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
22
+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
23
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
24
+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
25
+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
26
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/fbgemm/external/cutlass/LICENSE.txt ADDED
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1
+ Copyright (c) 2017 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
2
+ SPDX-License-Identifier: BSD-3-Clause
3
+
4
+ Redistribution and use in source and binary forms, with or without
5
+ modification, are permitted provided that the following conditions are met:
6
+
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+ 1. Redistributions of source code must retain the above copyright notice, this
8
+ list of conditions and the following disclaimer.
9
+
10
+ 2. Redistributions in binary form must reproduce the above copyright notice,
11
+ this list of conditions and the following disclaimer in the documentation
12
+ and/or other materials provided with the distribution.
13
+
14
+ 3. Neither the name of the copyright holder nor the names of its
15
+ contributors may be used to endorse or promote products derived from
16
+ this software without specific prior written permission.
17
+
18
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
19
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
20
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
21
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
22
+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
23
+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
24
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
25
+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
26
+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
27
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
28
+
29
+ Certain files within this repository are subject to separate licensing terms:
30
+
31
+ - The files located in the `python/CuTeDSL` directory are licensed under the
32
+ NVIDIA End User License Agreement (EULA). Please refer to
33
+ https://docs.nvidia.com/cutlass/media/docs/pythonDSL/license.html
34
+ for the full terms.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/fbgemm/external/cutlass/python/LICENSE.txt ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Copyright (c) 2017 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
2
+ SPDX-License-Identifier: BSD-3-Clause
3
+
4
+ Redistribution and use in source and binary forms, with or without
5
+ modification, are permitted provided that the following conditions are met:
6
+
7
+ 1. Redistributions of source code must retain the above copyright notice, this
8
+ list of conditions and the following disclaimer.
9
+
10
+ 2. Redistributions in binary form must reproduce the above copyright notice,
11
+ this list of conditions and the following disclaimer in the documentation
12
+ and/or other materials provided with the distribution.
13
+
14
+ 3. Neither the name of the copyright holder nor the names of its
15
+ contributors may be used to endorse or promote products derived from
16
+ this software without specific prior written permission.
17
+
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+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
19
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
20
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
21
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
22
+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
23
+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
24
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
25
+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
26
+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/fbgemm/external/googletest/LICENSE ADDED
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1
+ Copyright 2008, Google Inc.
2
+ All rights reserved.
3
+
4
+ Redistribution and use in source and binary forms, with or without
5
+ modification, are permitted provided that the following conditions are
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+ met:
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+
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+ * Redistributions of source code must retain the above copyright
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+ notice, this list of conditions and the following disclaimer.
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+ * Redistributions in binary form must reproduce the above
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+ copyright notice, this list of conditions and the following disclaimer
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+ in the documentation and/or other materials provided with the
13
+ distribution.
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+ * Neither the name of Google Inc. nor the names of its
15
+ contributors may be used to endorse or promote products derived from
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+ this software without specific prior written permission.
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+
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+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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+ "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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+ OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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+ SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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+ LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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+ DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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+ THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/fbgemm/external/hipify_torch/LICENSE.txt ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ MIT License
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+
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+ Copyright (c) 2021-2024, Advanced Micro Devices, Inc. All rights reserved.
4
+
5
+ Permission is hereby granted, free of charge, to any person obtaining a copy
6
+ of this software and associated documentation files (the "Software"), to deal
7
+ in the Software without restriction, including without limitation the rights
8
+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9
+ copies of the Software, and to permit persons to whom the Software is
10
+ furnished to do so, subject to the following conditions:
11
+
12
+ The above copyright notice and this permission notice shall be included in all
13
+ copies or substantial portions of the Software.
14
+
15
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16
+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17
+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18
+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19
+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21
+ SOFTWARE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/fbgemm/fbgemm_gpu/experimental/hstu/LICENSE ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ BSD 3-Clause License
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+
3
+ Copyright (c) 2022, the respective contributors, as shown by the AUTHORS file.
4
+ All rights reserved.
5
+
6
+ Redistribution and use in source and binary forms, with or without
7
+ modification, are permitted provided that the following conditions are met:
8
+
9
+ * Redistributions of source code must retain the above copyright notice, this
10
+ list of conditions and the following disclaimer.
11
+
12
+ * Redistributions in binary form must reproduce the above copyright notice,
13
+ this list of conditions and the following disclaimer in the documentation
14
+ and/or other materials provided with the distribution.
15
+
16
+ * Neither the name of the copyright holder nor the names of its
17
+ contributors may be used to endorse or promote products derived from
18
+ this software without specific prior written permission.
19
+
20
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
21
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
22
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
23
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
24
+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
25
+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
26
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
27
+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
28
+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
29
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/fbgemm/fbgemm_gpu/src/quantize_ops/mx/LICENSE ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ MIT License
2
+
3
+ Copyright (c) Microsoft Corporation.
4
+
5
+ Permission is hereby granted, free of charge, to any person obtaining a copy
6
+ of this software and associated documentation files (the "Software"), to deal
7
+ in the Software without restriction, including without limitation the rights
8
+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9
+ copies of the Software, and to permit persons to whom the Software is
10
+ furnished to do so, subject to the following conditions:
11
+
12
+ The above copyright notice and this permission notice shall be included in all
13
+ copies or substantial portions of the Software.
14
+
15
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16
+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17
+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18
+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19
+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21
+ SOFTWARE
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/fbgemm/fbgemm_gpu/test/quantize/mx/LICENSE ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ MIT License
2
+
3
+ Copyright (c) Microsoft Corporation.
4
+
5
+ Permission is hereby granted, free of charge, to any person obtaining a copy
6
+ of this software and associated documentation files (the "Software"), to deal
7
+ in the Software without restriction, including without limitation the rights
8
+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9
+ copies of the Software, and to permit persons to whom the Software is
10
+ furnished to do so, subject to the following conditions:
11
+
12
+ The above copyright notice and this permission notice shall be included in all
13
+ copies or substantial portions of the Software.
14
+
15
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16
+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17
+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18
+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19
+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21
+ SOFTWARE
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/flash-attention/LICENSE ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ BSD 3-Clause License
2
+
3
+ Copyright (c) 2022, the respective contributors, as shown by the AUTHORS file.
4
+ All rights reserved.
5
+
6
+ Redistribution and use in source and binary forms, with or without
7
+ modification, are permitted provided that the following conditions are met:
8
+
9
+ * Redistributions of source code must retain the above copyright notice, this
10
+ list of conditions and the following disclaimer.
11
+
12
+ * Redistributions in binary form must reproduce the above copyright notice,
13
+ this list of conditions and the following disclaimer in the documentation
14
+ and/or other materials provided with the distribution.
15
+
16
+ * Neither the name of the copyright holder nor the names of its
17
+ contributors may be used to endorse or promote products derived from
18
+ this software without specific prior written permission.
19
+
20
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
21
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
22
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
23
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
24
+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
25
+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
26
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
27
+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
28
+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
29
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/flash-attention/csrc/composable_kernel/LICENSE ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Copyright (c) 2018- , Advanced Micro Devices, Inc. (Chao Liu, Jing Zhang)
2
+ Copyright (c) 2019- , Advanced Micro Devices, Inc. (Letao Qin, Qianfeng Zhang, Liang Huang, Shaojie Wang)
3
+ Copyright (c) 2022- , Advanced Micro Devices, Inc. (Anthony Chang, Chunyu Lai, Illia Silin, Adam Osewski, Poyen Chen, Jehandad Khan)
4
+ Copyright (c) 2019-2021, Advanced Micro Devices, Inc. (Hanwen Chang)
5
+ Copyright (c) 2019-2020, Advanced Micro Devices, Inc. (Tejash Shah)
6
+ Copyright (c) 2020 , Advanced Micro Devices, Inc. (Xiaoyan Zhou)
7
+ Copyright (c) 2021-2022, Advanced Micro Devices, Inc. (Jianfeng Yan)
8
+
9
+ SPDX-License-Identifier: MIT
10
+ Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
11
+
12
+ Permission is hereby granted, free of charge, to any person obtaining a copy
13
+ of this software and associated documentation files (the "Software"), to deal
14
+ in the Software without restriction, including without limitation the rights
15
+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
16
+ copies of the Software, and to permit persons to whom the Software is
17
+ furnished to do so, subject to the following conditions:
18
+
19
+ The above copyright notice and this permission notice shall be included in all
20
+ copies or substantial portions of the Software.
21
+
22
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
23
+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
24
+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
25
+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
26
+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
27
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
28
+ SOFTWARE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/flash-attention/csrc/cutlass/LICENSE.txt ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Copyright (c) 2017 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
2
+ SPDX-License-Identifier: BSD-3-Clause
3
+
4
+ Redistribution and use in source and binary forms, with or without
5
+ modification, are permitted provided that the following conditions are met:
6
+
7
+ 1. Redistributions of source code must retain the above copyright notice, this
8
+ list of conditions and the following disclaimer.
9
+
10
+ 2. Redistributions in binary form must reproduce the above copyright notice,
11
+ this list of conditions and the following disclaimer in the documentation
12
+ and/or other materials provided with the distribution.
13
+
14
+ 3. Neither the name of the copyright holder nor the names of its
15
+ contributors may be used to endorse or promote products derived from
16
+ this software without specific prior written permission.
17
+
18
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
19
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
20
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
21
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
22
+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
23
+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
24
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
25
+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
26
+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
27
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
28
+
29
+ Certain files within this repository are subject to separate licensing terms:
30
+
31
+ - The files located in the `python/CuTeDSL` directory are licensed under the
32
+ NVIDIA End User License Agreement (EULA). Please refer to
33
+ https://docs.nvidia.com/cutlass/media/docs/pythonDSL/license.html
34
+ for the full terms.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/flash-attention/csrc/cutlass/python/LICENSE.txt ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Copyright (c) 2017 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
2
+ SPDX-License-Identifier: BSD-3-Clause
3
+
4
+ Redistribution and use in source and binary forms, with or without
5
+ modification, are permitted provided that the following conditions are met:
6
+
7
+ 1. Redistributions of source code must retain the above copyright notice, this
8
+ list of conditions and the following disclaimer.
9
+
10
+ 2. Redistributions in binary form must reproduce the above copyright notice,
11
+ this list of conditions and the following disclaimer in the documentation
12
+ and/or other materials provided with the distribution.
13
+
14
+ 3. Neither the name of the copyright holder nor the names of its
15
+ contributors may be used to endorse or promote products derived from
16
+ this software without specific prior written permission.
17
+
18
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
19
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
20
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
21
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
22
+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
23
+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
24
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
25
+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
26
+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
27
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/flash-attention/flash_attn/cute/LICENSE ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ BSD 3-Clause License
2
+
3
+ Copyright (c) 2022, the respective contributors, as shown by the AUTHORS file.
4
+ All rights reserved.
5
+
6
+ Redistribution and use in source and binary forms, with or without
7
+ modification, are permitted provided that the following conditions are met:
8
+
9
+ * Redistributions of source code must retain the above copyright notice, this
10
+ list of conditions and the following disclaimer.
11
+
12
+ * Redistributions in binary form must reproduce the above copyright notice,
13
+ this list of conditions and the following disclaimer in the documentation
14
+ and/or other materials provided with the distribution.
15
+
16
+ * Neither the name of the copyright holder nor the names of its
17
+ contributors may be used to endorse or promote products derived from
18
+ this software without specific prior written permission.
19
+
20
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
21
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
22
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
23
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
24
+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
25
+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
26
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
27
+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
28
+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
29
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
.venv/lib/python3.12/site-packages/torch-2.14.0+cpu.dist-info/licenses/third_party/flash-attention/third_party/aiter/3rdparty/composable_kernel/LICENSE ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Copyright (c) 2018- , Advanced Micro Devices, Inc. (Chao Liu, Jing Zhang)
2
+ Copyright (c) 2019- , Advanced Micro Devices, Inc. (Letao Qin, Qianfeng Zhang, Liang Huang, Shaojie Wang)
3
+ Copyright (c) 2022- , Advanced Micro Devices, Inc. (Anthony Chang, Chunyu Lai, Illia Silin, Adam Osewski, Poyen Chen, Jehandad Khan)
4
+ Copyright (c) 2019-2021, Advanced Micro Devices, Inc. (Hanwen Chang)
5
+ Copyright (c) 2019-2020, Advanced Micro Devices, Inc. (Tejash Shah)
6
+ Copyright (c) 2020 , Advanced Micro Devices, Inc. (Xiaoyan Zhou)
7
+ Copyright (c) 2021-2022, Advanced Micro Devices, Inc. (Jianfeng Yan)
8
+
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+ Copyright (c) 2012 - present, Victor Zverovich and {fmt} contributors
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