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Title: GitHub - AlignmentResearch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration · GitHub

Open Graph Title: GitHub - AlignmentResearch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration

X Title: GitHub - AlignmentResearch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration

Description: Tensors and Dynamic neural networks in Python with strong GPU acceleration - AlignmentResearch/pytorch

Open Graph Description: Tensors and Dynamic neural networks in Python with strong GPU acceleration - AlignmentResearch/pytorch

X Description: Tensors and Dynamic neural networks in Python with strong GPU acceleration - AlignmentResearch/pytorch

Opengraph URL: https://github.com/AlignmentResearch/pytorch

X: @github

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hud.pytorch.org	https://hud.pytorch.org/ci/pytorch/pytorch/main
More About PyTorch	https://github.com/AlignmentResearch/pytorch#more-about-pytorch
A GPU-Ready Tensor Library	https://github.com/AlignmentResearch/pytorch#a-gpu-ready-tensor-library
Dynamic Neural Networks: Tape-Based Autograd	https://github.com/AlignmentResearch/pytorch#dynamic-neural-networks-tape-based-autograd
Python First	https://github.com/AlignmentResearch/pytorch#python-first
Imperative Experiences	https://github.com/AlignmentResearch/pytorch#imperative-experiences
Fast and Lean	https://github.com/AlignmentResearch/pytorch#fast-and-lean
Extensions Without Pain	https://github.com/AlignmentResearch/pytorch#extensions-without-pain
Installation	https://github.com/AlignmentResearch/pytorch#installation
Binaries	https://github.com/AlignmentResearch/pytorch#binaries
NVIDIA Jetson Platforms	https://github.com/AlignmentResearch/pytorch#nvidia-jetson-platforms
From Source	https://github.com/AlignmentResearch/pytorch#from-source
Prerequisites	https://github.com/AlignmentResearch/pytorch#prerequisites
NVIDIA CUDA Support	https://github.com/AlignmentResearch/pytorch#nvidia-cuda-support
AMD ROCm Support	https://github.com/AlignmentResearch/pytorch#amd-rocm-support
Intel GPU Support	https://github.com/AlignmentResearch/pytorch#intel-gpu-support
Get the PyTorch Source	https://github.com/AlignmentResearch/pytorch#get-the-pytorch-source
Install Dependencies	https://github.com/AlignmentResearch/pytorch#install-dependencies
Install PyTorch	https://github.com/AlignmentResearch/pytorch#install-pytorch
Adjust Build Options (Optional)	https://github.com/AlignmentResearch/pytorch#adjust-build-options-optional
Docker Image	https://github.com/AlignmentResearch/pytorch#docker-image
Using pre-built images	https://github.com/AlignmentResearch/pytorch#using-pre-built-images
Building the image yourself	https://github.com/AlignmentResearch/pytorch#building-the-image-yourself
Building the Documentation	https://github.com/AlignmentResearch/pytorch#building-the-documentation
Building a PDF	https://github.com/AlignmentResearch/pytorch#building-a-pdf
Previous Versions	https://github.com/AlignmentResearch/pytorch#previous-versions
Getting Started	https://github.com/AlignmentResearch/pytorch#getting-started
Resources	https://github.com/AlignmentResearch/pytorch#resources
Communication	https://github.com/AlignmentResearch/pytorch#communication
Releases and Contributing	https://github.com/AlignmentResearch/pytorch#releases-and-contributing
The Team	https://github.com/AlignmentResearch/pytorch#the-team
License	https://github.com/AlignmentResearch/pytorch#license
	https://github.com/AlignmentResearch/pytorch#more-about-pytorch
Learn the basics of PyTorch	https://pytorch.org/tutorials/beginner/basics/intro.html
torch	https://pytorch.org/docs/stable/torch.html
torch.autograd	https://pytorch.org/docs/stable/autograd.html
torch.jit	https://pytorch.org/docs/stable/jit.html
torch.nn	https://pytorch.org/docs/stable/nn.html
torch.multiprocessing	https://pytorch.org/docs/stable/multiprocessing.html
torch.utils	https://pytorch.org/docs/stable/data.html
	https://github.com/AlignmentResearch/pytorch#a-gpu-ready-tensor-library
	https://github.com/pytorch/pytorch/raw/main/docs/source/_static/img/tensor_illustration.png
	https://github.com/AlignmentResearch/pytorch#dynamic-neural-networks-tape-based-autograd
torch-autograd	https://github.com/twitter/torch-autograd
autograd	https://github.com/HIPS/autograd
Chainer	https://chainer.org
	https://github.com/pytorch/pytorch/raw/main/docs/source/_static/img/dynamic_graph.gif
	https://github.com/AlignmentResearch/pytorch#python-first
NumPy	https://www.numpy.org/
SciPy	https://www.scipy.org/
scikit-learn	https://scikit-learn.org
Cython	https://cython.org/
Numba	http://numba.pydata.org/
	https://github.com/AlignmentResearch/pytorch#imperative-experiences
	https://github.com/AlignmentResearch/pytorch#fast-and-lean
Intel MKL	https://software.intel.com/mkl
cuDNN	https://developer.nvidia.com/cudnn
NCCL	https://developer.nvidia.com/nccl
	https://github.com/AlignmentResearch/pytorch#extensions-without-pain
or your favorite NumPy-based libraries such as SciPy	https://pytorch.org/tutorials/advanced/numpy_extensions_tutorial.html
a tutorial here	https://pytorch.org/tutorials/advanced/cpp_extension.html
an example here	https://github.com/pytorch/extension-cpp
	https://github.com/AlignmentResearch/pytorch#installation
	https://github.com/AlignmentResearch/pytorch#binaries
https://pytorch.org/get-started/locally/	https://pytorch.org/get-started/locally/
	https://github.com/AlignmentResearch/pytorch#nvidia-jetson-platforms
here	https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-10-now-available/72048
here	https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch
@dusty-nv	https://github.com/dusty-nv
@ptrblck	https://github.com/ptrblck
	https://github.com/AlignmentResearch/pytorch#from-source
	https://github.com/AlignmentResearch/pytorch#prerequisites
https://visualstudio.microsoft.com/visual-cpp-build-tools/	https://visualstudio.microsoft.com/visual-cpp-build-tools/
	https://github.com/AlignmentResearch/pytorch#nvidia-cuda-support
select a supported version of CUDA from our support matrix	https://pytorch.org/get-started/locally/
NVIDIA CUDA	https://developer.nvidia.com/cuda-downloads
NVIDIA cuDNN	https://developer.nvidia.com/cudnn
Compiler	https://gist.github.com/ax3l/9489132
cuDNN Support Matrix	https://docs.nvidia.com/deeplearning/cudnn/backend/latest/reference/support-matrix.html
available here	https://devtalk.nvidia.com/default/topic/1049071/jetson-nano/pytorch-for-jetson-nano/
	https://github.com/AlignmentResearch/pytorch#amd-rocm-support
AMD ROCm	https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html
AMD GPU architecture	https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html#supported-gpus
	https://github.com/AlignmentResearch/pytorch#intel-gpu-support
PyTorch Prerequisites for Intel GPUs	https://www.intel.com/content/www/us/en/developer/articles/tool/pytorch-prerequisites-for-intel-gpus.html
	https://github.com/AlignmentResearch/pytorch#get-the-pytorch-source
	https://github.com/AlignmentResearch/pytorch#install-dependencies
	https://github.com/AlignmentResearch/pytorch#install-pytorch
Building on legacy code and CUDA	https://github.com/pytorch/pytorch/blob/main/CONTRIBUTING.md#building-on-legacy-code-and-cuda
here	https://github.com/pytorch/pytorch/blob/main/docs/source/notes/windows.rst#building-from-source
NVTX	https://docs.nvidia.com/gameworks/content/gameworkslibrary/nvtx/nvidia_tools_extension_library_nvtx.htm
Magma	https://developer.nvidia.com/magma
oneDNN, a.k.a. MKLDNN or DNNL	https://github.com/oneapi-src/oneDNN
Sccache	https://github.com/mozilla/sccache
installation-helper	https://github.com/pytorch/pytorch/tree/main/.ci/pytorch/win-test-helpers/installation-helpers
build_pytorch.bat	https://github.com/pytorch/pytorch/blob/main/.ci/pytorch/win-test-helpers/build_pytorch.bat
the common prerequisites	https://github.com/AlignmentResearch/pytorch#prerequisites
the prerequisites for Intel GPU	https://github.com/AlignmentResearch/pytorch#intel-gpu-support
	https://github.com/AlignmentResearch/pytorch#adjust-build-options-optional
	https://github.com/AlignmentResearch/pytorch#docker-image
	https://github.com/AlignmentResearch/pytorch#using-pre-built-images
	https://github.com/AlignmentResearch/pytorch#building-the-image-yourself
setup.py	https://github.com/AlignmentResearch/pytorch/blob/main/setup.py
	https://github.com/AlignmentResearch/pytorch#building-the-documentation
Sphinx	http://www.sphinx-doc.org
Getting Started	https://pytorch.org/get-started/locally/
from source	https://github.com/AlignmentResearch/pytorch#from-source
Docstring Guidelines	https://github.com/pytorch/pytorch/wiki/Docstring-Guidelines
	https://github.com/AlignmentResearch/pytorch#building-a-pdf
	https://github.com/AlignmentResearch/pytorch#previous-versions
our website	https://pytorch.org/get-started/previous-versions
	https://github.com/AlignmentResearch/pytorch#getting-started
Tutorials: get you started with understanding and using PyTorch	https://pytorch.org/tutorials/
Examples: easy to understand PyTorch code across all domains	https://github.com/pytorch/examples
The API Reference	https://pytorch.org/docs/
Glossary	https://github.com/pytorch/pytorch/blob/main/GLOSSARY.md
	https://github.com/AlignmentResearch/pytorch#resources
PyTorch.org	https://pytorch.org/
PyTorch Tutorials	https://pytorch.org/tutorials/
PyTorch Examples	https://github.com/pytorch/examples
PyTorch Models	https://pytorch.org/hub/
Intro to Deep Learning with PyTorch from Udacity	https://www.udacity.com/course/deep-learning-pytorch--ud188
Intro to Machine Learning with PyTorch from Udacity	https://www.udacity.com/course/intro-to-machine-learning-nanodegree--nd229
Deep Neural Networks with PyTorch from Coursera	https://www.coursera.org/learn/deep-neural-networks-with-pytorch
PyTorch Twitter	https://twitter.com/PyTorch
PyTorch Blog	https://pytorch.org/blog/
PyTorch YouTube	https://www.youtube.com/channel/UCWXI5YeOsh03QvJ59PMaXFw
	https://github.com/AlignmentResearch/pytorch#communication
https://discuss.pytorch.org	https://discuss.pytorch.org
PyTorch Slack	https://pytorch.slack.com/
PyTorch Forums	https://discuss.pytorch.org
https://goo.gl/forms/PP1AGvNHpSaJP8to1	https://goo.gl/forms/PP1AGvNHpSaJP8to1
https://eepurl.com/cbG0rv	https://eepurl.com/cbG0rv
https://www.facebook.com/pytorch	https://www.facebook.com/pytorch
pytorch.org	https://pytorch.org/
	https://github.com/AlignmentResearch/pytorch#releases-and-contributing
filing an issue	https://github.com/pytorch/pytorch/issues
Contribution page	https://github.com/AlignmentResearch/pytorch/blob/main/CONTRIBUTING.md
Release page	https://github.com/AlignmentResearch/pytorch/blob/main/RELEASE.md
	https://github.com/AlignmentResearch/pytorch#the-team
Soumith Chintala	http://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
Nikita Shulga	https://github.com/malfet
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
hughperkins/pytorch	https://github.com/hughperkins/pytorch
	https://github.com/AlignmentResearch/pytorch#license
LICENSE	https://github.com/AlignmentResearch/pytorch/blob/main/LICENSE
pytorch.org	https://pytorch.org
Readme	https://github.com/AlignmentResearch/pytorch#readme-ov-file
View license	https://github.com/AlignmentResearch/pytorch#License-1-ov-file
Code of conduct	https://github.com/AlignmentResearch/pytorch#coc-ov-file
Contributing	https://github.com/AlignmentResearch/pytorch#contributing-ov-file
Security policy	https://github.com/AlignmentResearch/pytorch#security-ov-file
Please reload this page	https://github.com/AlignmentResearch/pytorch
Activity	https://github.com/AlignmentResearch/pytorch/activity
Custom properties	https://github.com/AlignmentResearch/pytorch/custom-properties
0 forks	https://github.com/AlignmentResearch/pytorch/forks
Report repository	https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FAlignmentResearch%2Fpytorch&report=AlignmentResearch+%28user%29
Releases	https://github.com/AlignmentResearch/pytorch/releases
Packages 0	https://github.com/orgs/AlignmentResearch/packages?repo_name=pytorch
Please reload this page	https://github.com/AlignmentResearch/pytorch
Contributors	https://github.com/AlignmentResearch/pytorch/graphs/contributors
Please reload this page	https://github.com/AlignmentResearch/pytorch
	https://github.com
Terms	https://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacy	https://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Security	https://github.com/security
Status	https://www.githubstatus.com/
Community	https://github.community/
Docs	https://docs.github.com/
Contact	https://support.github.com?tags=dotcom-footer

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