Pytorch 文档翻译【持续迭代 - 2.x 最新版本】

[jiangzhonglian]

小技巧

• 可以直接 Copy 1.4 API
  • https://pytorch.apachecn.org/1.4/74/
• 然后对里面的内容进行微调

状态表示

✅ 表示已经完成
❌ 表示无人认领
‼️ 表示正在进行

❌ "Community"

• PyTorch Governance | Build + CI
• PyTorch Contribution Guide
• PyTorch Design Philosophy
• PyTorch Governance | Mechanics
• PyTorch Governance | Maintainers

‼️ "Developer Notes"

• CUDA Automatic Mixed Precision examples
• Autograd mechanics
• Broadcasting semantics
• CPU threading and TorchScript inference
• CUDA semantics
• Distributed Data Parallel
• Extending PyTorch
• Extending torch.func with autograd.Function
• Frequently Asked Questions
• Gradcheck mechanics
• HIP (ROCm) semantics
• Features for large-scale deployments
• Modules
• MPS backend
• Multiprocessing best practices
• Numerical accuracy
• Reproducibility
• Serialization semantics
• Windows FAQ

❌ "torch.compile"

• TorchDynamo Overview
• Installing TorchDynamo
• Getting Started
• Guards Overview
• Custom Backends
• TorchDynamo Deeper Dive
• TorchDynamo Troubleshooting
• Frequently Asked Questions
• IRs

❌ "Language Bindings"

• C++
• Javadoc
• torch::deploy

❌ "Python API"

• ‼️ torch
• torch.nn
• torch.nn.functional
• torch.Tensor
• Tensor Attributes
• Tensor Views
• torch.amp
• torch.autograd
• torch.library
• ‼️ torch.cuda
• torch.mps
• torch.backends
• ‼️ torch.distributed
• torch.distributed.algorithms.join
• torch.distributed.elastic
• torch.distributed.fsdp
• torch.distributed.optim
• torch.distributed.tensor.parallel
• torch.distributed.checkpoint
• torch.distributions
• torch._dynamo
• torch.fft
• torch.func
• torch.futures
• torch.fx
• torch.hub
• torch.jit
• torch.linalg
• torch.monitor
• torch.signal
• torch.special
• torch.overrides
• torch.package
• torch.profiler
• torch.nn.init
• torch.onnx
• torch.onnx diagnostics
• torch.optim
• Complex Numbers
• DDP Communication Hooks
• Pipeline Parallelism
• Quantization
• Distributed RPC Framework
• torch.random
• torch.masked
• torch.nested
• torch.sparse
• torch.Storage
• torch.testing
• torch.utils.benchmark
• torch.utils.bottleneck
• torch.utils.checkpoint
• torch.utils.cpp_extension
• torch.utils.data
• torch.utils.jit
• torch.utils.dlpack
• torch.utils.mobile_optimizer
• torch.utils.model_zoo
• torch.utils.tensorboard
• Type Info
• Named Tensors
• Named Tensors operator coverage
• torch.__config__

❌ "Libraries"

• torchaudio
• TorchData
• TorchRec
• TorchServe
• torchtext
• torchvision
• PyTorch on XLA Devices

[jiangzhonglian]

各位好兄弟，我看到了，有一些内容太麻烦就不用翻译。

表格里面的太麻烦就别翻译，只翻译表格外面的说明就行
例如： 只翻译1的位置，2的位置不用翻译