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

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

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

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

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

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

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

X: @github

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https://status.openlabtesting.org/builds/builds?project=pytorch%2Fpytorch&job_name=pytorch-arm64-build-daily-master-py38
ci.pytorch.org HUDhttps://ezyang.github.io/pytorch-ci-hud/build/pytorch-master
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#more-about-pytorch
torchhttps://pytorch.org/docs/stable/torch.html
torch.autogradhttps://pytorch.org/docs/stable/autograd.html
torch.jithttps://pytorch.org/docs/stable/jit.html
torch.nnhttps://pytorch.org/docs/stable/nn.html
torch.multiprocessinghttps://pytorch.org/docs/stable/multiprocessing.html
torch.utilshttps://pytorch.org/docs/stable/data.html
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#a-gpu-ready-tensor-library
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch/blob/main/docs/source/_static/img/tensor_illustration.png
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#dynamic-neural-networks-tape-based-autograd
torch-autogradhttps://github.com/twitter/torch-autograd
autogradhttps://github.com/HIPS/autograd
Chainerhttps://chainer.org
https://github.com/pytorch/pytorch/blob/master/docs/source/_static/img/dynamic_graph.gif
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#python-first
NumPyhttps://www.numpy.org/
SciPyhttps://www.scipy.org/
scikit-learnhttps://scikit-learn.org
Cythonhttps://cython.org/
Numbahttp://numba.pydata.org/
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#imperative-experiences
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#fast-and-lean
Intel MKLhttps://software.intel.com/mkl
cuDNNhttps://developer.nvidia.com/cudnn
NCCLhttps://developer.nvidia.com/nccl
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#extensions-without-pain
or your favorite NumPy-based libraries such as SciPyhttps://pytorch.org/tutorials/advanced/numpy_extensions_tutorial.html
a tutorial herehttps://pytorch.org/tutorials/advanced/cpp_extension.html
an example herehttps://github.com/pytorch/extension-cpp
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#installation
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#binaries
https://pytorch.orghttps://pytorch.org
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#nvidia-jetson-platforms
https://nvidia.box.com/v/torch-stable-cp36-jetson-jp42https://nvidia.box.com/v/torch-stable-cp36-jetson-jp42
https://nvidia.box.com/v/torch-weekly-cp36-jetson-jp42https://nvidia.box.com/v/torch-weekly-cp36-jetson-jp42
@dusty-nvhttps://github.com/dusty-nv
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#from-source
Anacondahttps://www.anaconda.com/distribution/#download-section
Anacondahttps://www.anaconda.com/distribution/#download-section
NVIDIA CUDAhttps://developer.nvidia.com/cuda-downloads
NVIDIA cuDNNhttps://developer.nvidia.com/cudnn
Compilerhttps://gist.github.com/ax3l/9489132
cuDNN Support Matrixhttps://docs.nvidia.com/deeplearning/cudnn/pdf/cuDNN-Support-Matrix.pdf
available herehttps://devtalk.nvidia.com/default/topic/1049071/jetson-nano/pytorch-for-jetson-nano/
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#install-dependencies
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#get-the-pytorch-source
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#install-pytorch
Anacondahttps://www.anaconda.com/distribution/#download-section
NVTXhttps://docs.nvidia.com/gameworks/content/gameworkslibrary/nvtx/nvidia_tools_extension_library_nvtx.htm
compilation issuehttps://github.com/oneapi-src/oneDNN/issues/812
Magmahttps://developer.nvidia.com/magma
oneDNN, a.k.a MKLDNN or DNNLhttps://github.com/oneapi-src/oneDNN
Sccachehttps://github.com/mozilla/sccache
installation-helperhttps://github.com/pytorch/pytorch/tree/master/.jenkins/pytorch/win-test-helpers/installation-helpers
build_pytorch.bathttps://github.com/pytorch/pytorch/blob/master/.jenkins/pytorch/win-test-helpers/build_pytorch.bat
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#adjust-build-options-optional
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#docker-image
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#using-pre-built-images
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#building-the-image-yourself
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#building-the-documentation
Sphinxhttp://www.sphinx-doc.org
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#previous-versions
Our Websitehttps://pytorch.org/previous-versions
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#getting-started
Tutorials: get you started with understanding and using PyTorchhttps://pytorch.org/tutorials/
Examples: easy to understand pytorch code across all domainshttps://github.com/pytorch/examples
The API Referencehttps://pytorch.org/docs/
Glossaryhttps://github.com/pytorch/pytorch/blob/master/GLOSSARY.md
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#resources
PyTorch.orghttps://pytorch.org/
PyTorch Tutorialshttps://pytorch.org/tutorials/
PyTorch Exampleshttps://github.com/pytorch/examples
PyTorch Modelshttps://pytorch.org/hub/
Intro to Deep Learning with PyTorch from Udacityhttps://www.udacity.com/course/deep-learning-pytorch--ud188
Intro to Machine Learning with PyTorch from Udacityhttps://www.udacity.com/course/intro-to-machine-learning-nanodegree--nd229
Deep Neural Networks with PyTorch from Courserahttps://www.coursera.org/learn/deep-neural-networks-with-pytorch
PyTorch Twitterhttps://twitter.com/PyTorch
PyTorch Bloghttps://pytorch.org/blog/
PyTorch YouTubehttps://www.youtube.com/channel/UCWXI5YeOsh03QvJ59PMaXFw
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#communication
https://discuss.pytorch.orghttps://discuss.pytorch.org
PyTorch Slackhttps://pytorch.slack.com/
PyTorch Forumshttps://discuss.pytorch.org
https://goo.gl/forms/PP1AGvNHpSaJP8to1https://goo.gl/forms/PP1AGvNHpSaJP8to1
https://eepurl.com/cbG0rvhttps://eepurl.com/cbG0rv
https://www.facebook.com/pytorchhttps://www.facebook.com/pytorch
pytorch.orghttps://pytorch.org/
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#releases-and-contributing
filing an issuehttps://github.com/pytorch/pytorch/issues
Contribution pagehttps://patch-diff.githubusercontent.com/UNSWComputing/pytorch/blob/main/CONTRIBUTING.md
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#the-team
Adam Paszkehttps://apaszke.github.io/
Sam Grosshttps://github.com/colesbury
Soumith Chintalahttp://soumith.ch
Gregory Chananhttps://github.com/gchanan
hughperkins/pytorchhttps://github.com/hughperkins/pytorch
https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#license
LICENSEhttps://patch-diff.githubusercontent.com/UNSWComputing/pytorch/blob/main/LICENSE
pytorch.orghttps://pytorch.org
Readme https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#readme-ov-file
View license https://patch-diff.githubusercontent.com/UNSWComputing/pytorch#License-1-ov-file
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Releases 7https://patch-diff.githubusercontent.com/UNSWComputing/pytorch/releases
v1.8.0: Fix hipify_python (#52756) Latest Apr 24, 2021 https://patch-diff.githubusercontent.com/UNSWComputing/pytorch/releases/tag/v1.8.0
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