PyTorch
master (0.3.0+debian-1+Debian.stretch.9.3 )

Notes

  • Autograd mechanics
  • Broadcasting semantics
  • CUDA semantics
  • Extending PyTorch
  • Multiprocessing best practices
  • Serialization semantics

Package Reference

  • torch
  • torch.Tensor
  • torch.sparse
  • torch.Storage
  • torch.nn
  • torch.nn.functional
  • torch.nn.init
  • torch.optim
  • torch.autograd
  • torch.distributions
  • torch.multiprocessing
  • torch.distributed
  • torch.legacy
  • torch.cuda
  • torch.utils.ffi
  • torch.utils.data
  • torch.utils.model_zoo
  • torch.onnx
PyTorch
  • Docs »
  • PyTorch documentation
  • View page source

PyTorch documentation¶

PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.

Notes

  • Autograd mechanics
  • Broadcasting semantics
  • CUDA semantics
  • Extending PyTorch
  • Multiprocessing best practices
  • Serialization semantics

Package Reference

  • torch
  • torch.Tensor
  • torch.sparse
  • torch.Storage
  • torch.nn
  • torch.nn.functional
  • torch.nn.init
  • torch.optim
  • torch.autograd
  • torch.distributions
  • torch.multiprocessing
  • torch.distributed
  • torch.legacy
  • torch.cuda
  • torch.utils.ffi
  • torch.utils.data
  • torch.utils.model_zoo
  • torch.onnx

Indices and tables¶

  • Index
  • Module Index
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