Page Index - subramen/pytorch GitHub Wiki

106 page(s) in this GitHub Wiki:

• Home
• Community
• Contributing
• User docs
• Onboarding
• Developer docs
• Notes
• Named Tensors
• Quantization
• JIT/TorchScript
• Distributed
• C++
• Benchmarks
• DataLoader
• Workflow docs
• [Draft] The PyTorch Contribution Process
• [WIP] What is a SEV
• A quick guide on how to add and cache dependencies on PyTorch CI
• Archive
• Autograd and Fork
• Autograd Basics
• Autograd Onboarding Lab
• Best Practices to Edit and Compile Pytorch Source Code On Windows
• Bot commands
• Boxing and Unboxing in the PyTorch Operator Library
• Breaking Changes from Variable and Tensor merge
• Build PyTorch
• clang format
• Code review values
• Codegen and Structured Kernels
• Contact Pytorch Dev Infra Office
• Continuous Integration
• Core Frontend Onboarding
• Cpp API Quick Walkthrough
• Create a Pull Request
• CUDA basics
• Data Basics
• DataPipes Testing Requirements
• Debugging PyTorch Build
• Debugging using with ssh for Github Actions
• Debugging Windows with Remote Desktop or CDB (CLI windbg) on CircleCI
• Dev Infra Office Hours
• Developer Environment Setup
• Developer FAQ
• Development Tips
• Dispatcher Structured Kernels Lab
• Docker image build on CircleCI
• Finding Or Creating Issues
• Fork Clone and Checkout
• function transforms (aka torch.func, functorch)
• Getting help as a contributor
• Guide for adding type annotations to PyTorch
• How to propose feature changes to PyTorch
• How to support torch.set_deterministic() in PyTorch operators
• How to use TensorIterator
• Introducing Quantized Tensor
• Life of a Tensor
• Lint as you type
• lintrunner
• Maintainer notes for pytorchbot merge this please (Archived)
• Memory format propagation rules
• Modular components for benchmarking PyTorch snippets. (Experimental)
• Module Onboarding Lab
• MPS Backend
• Multiprocessing Technical Notes
• nn Basics
• Operators with Channels Last support
• OpInfos FAQ
• Overview of the Pull Request Lifecycle
• Pre Commit Checks
• Public API definition and documentation
• Pull Request FAQs
• Pull request review etiquette
• PyTorch AutoLabel Bot
• PyTorch Basics
• PyTorch CI Metrics Dashboards: the HUD
• PyTorch Data Flow and Interface Diagram
• PyTorch dispatcher walkthrough
• PyTorch IR
• PyTorch ONNX exporter
• PyTorch ONNX Exporter Code Reviews and Duty Rotation
• PyTorch ONNX Topics
• PyTorch Versions
• PyTorch Workflow Cheatsheet
• PyTorch's Python Frontend Backward and Forward Compatibility Policy
• Running and writing tests
• Sharing design documents for discussion
• Software Architecture for c10
• Tensor and Operator Basics
• Tensor API changes for Caffe2 developers
• TH to ATen porting guide
• The torch.fft module in PyTorch 1.7
• The Ultimate Guide to PyTorch Contributions
• torch.nn Module Documentation Style Guide
• torch.onnx Namespacing
• torch_quantization_design_proposal
• Troubleshooting
• Typical Pull Request Workflow
• Using hud.pytorch.org
• vmap Basics
• vmap Onboarding Lab
• What is considered a SEV?
• Where or how should I add documentation
• Writing memory format aware operators
• Writing Python in cpp (a manifesto)
• Writing tests in PyTorch 1.8