Page Index - subramen/pytorch GitHub Wiki

197 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
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• [WIP] What is a SEV
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• A quick guide on how to add and cache dependencies on PyTorch CI
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• Archive
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• Autograd and Fork
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• Autograd Basics
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• Autograd Onboarding Lab
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• Best Practices to Edit and Compile Pytorch Source Code On Windows
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• Bot commands
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• Boxing and Unboxing in the PyTorch Operator Library
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• Breaking Changes from Variable and Tensor merge
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• Build PyTorch
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• clang format
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• Code review values
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• Codegen and Structured Kernels
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• Contact Pytorch Dev Infra Office
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• Continuous Integration
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• Core Frontend Onboarding
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• Cpp API Quick Walkthrough
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• Create a Pull Request
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• CUDA basics
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• Data Basics
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• DataPipes Testing Requirements
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• Debugging PyTorch Build
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• Debugging using with ssh for Github Actions
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• Debugging Windows with Remote Desktop or CDB (CLI windbg) on CircleCI
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• Dev Infra Office Hours
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• Developer Environment Setup
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• Developer FAQ
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• Development Tips
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• Dispatcher Structured Kernels Lab
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• Docker image build on CircleCI
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• Finding Or Creating Issues
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• Fork Clone and Checkout
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• function transforms (aka torch.func, functorch)
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• Getting help as a contributor
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• Guide for adding type annotations to PyTorch
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• How to propose feature changes to PyTorch
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• How to support torch.set_deterministic() in PyTorch operators
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• How to use TensorIterator
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• Introducing Quantized Tensor
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• Life of a Tensor
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• Lint as you type
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• lintrunner
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• Maintainer notes for pytorchbot merge this please (Archived)
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• Memory format propagation rules
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• Modular components for benchmarking PyTorch snippets. (Experimental)
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• Module Onboarding Lab
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• MPS Backend
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• Multiprocessing Technical Notes
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• nn Basics
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• Operators with Channels Last support
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• OpInfos FAQ
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• Overview of the Pull Request Lifecycle
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• Pre Commit Checks
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• Public API definition and documentation
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• Pull Request FAQs
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• Pull request review etiquette
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• PyTorch AutoLabel Bot
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• PyTorch Basics
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• PyTorch CI Metrics Dashboards: the HUD
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• PyTorch Data Flow and Interface Diagram
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• PyTorch dispatcher walkthrough
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• PyTorch IR
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• PyTorch ONNX exporter
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• PyTorch ONNX Exporter Code Reviews and Duty Rotation
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• PyTorch ONNX Topics
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• PyTorch Versions
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• PyTorch Workflow Cheatsheet
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• PyTorch's Python Frontend Backward and Forward Compatibility Policy
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• Running and writing tests
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• Sharing design documents for discussion
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• Software Architecture for c10
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• Tensor and Operator Basics
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• Tensor API changes for Caffe2 developers
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• TH to ATen porting guide
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• The torch.fft module in PyTorch 1.7
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• The Ultimate Guide to PyTorch Contributions
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• torch.nn Module Documentation Style Guide
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• torch.onnx Namespacing
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• torch_quantization_design_proposal
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• Troubleshooting
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• Typical Pull Request Workflow
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• Using hud.pytorch.org
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• vmap Basics
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• vmap Onboarding Lab
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• What is considered a SEV?
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• Where or how should I add documentation
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• Writing memory format aware operators
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• Writing Python in cpp (a manifesto)
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• Writing tests in PyTorch 1.8
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