重磅｜PyTorch中文文档第一版上线啦！！！

文章来源：PyTorch中文社区   作者：ycszen等

PyTorch是使用GPU和CPU优化的深度学习张量库。最近由ycszen、KeithYin、koshinryuu、weigp、kophy、yichuan9527、swordspoet、XavierLin、tfygg、dyl745001196、songbo.han和ZijunDeng等12位同学共同翻译和编辑了第一版中文版文档。今天我们作为头条推荐给所有PyTorch开发者，欢迎收藏和分享！！！

一、说明

• 自动求导机制

  http://pytorch-cn./zh/latest/notes/autograd/
  

• CUDA语义

  http://pytorch-cn./zh/latest/notes/cuda/
  

• 扩展PyTorch

  http://pytorch-cn./zh/latest/notes/extending/
  

• 多进程最佳实践

  http://pytorch-cn./zh/latest/notes/multiprocessing/
  

• 序列化语义

  http://pytorch-cn./zh/latest/notes/serialization/
  

二、Package参考

• 火炬

  http://pytorch-cn./zh/latest/package_references/torch/

• torch.Tensor

  http://pytorch-cn./zh/latest/package_references/Tensor/
  

• torch.Storage

  http://pytorch-cn./zh/latest/package_references/Storage/
  

• torch.nn

  http://pytorch-cn./zh/latest/package_references/torch-nn/
  

• torch.nn.functional

  http://pytorch-cn./zh/latest/package_references/functional/
  

• torch.nn.init

  http://pytorch-cn./zh/latest/package_references/nn_init/
  

• torch.optim

  http://pytorch-cn./zh/latest/package_references/torch-optim/
  

• torch.autograd

  http://pytorch-cn./zh/latest/package_references/torch-autograd/
  

• torch.multiprocessing

  http://pytorch-cn./zh/latest/package_references/torch-multiprocessing/
  

• torch.legacy

  http://pytorch-cn./zh/latest/package_references/legacy/
  

• torch.cuda

  http://pytorch-cn./zh/latest/package_references/torch-cuda/
  

• torch.utils.ffi

  http://pytorch-cn./zh/latest/package_references/ffi/
  

• torch.utils.data

  http://pytorch-cn./zh/latest/package_references/data/
  

• torch.utils.model_zoo

  http://pytorch-cn./zh/latest/package_references/model_zoo/
  

三、torchvision参考

• torchvision

  http://pytorch-cn./zh/latest/torchvision/torchvision/
  

• torchvision.datasets

  http://pytorch-cn./zh/latest/torchvision/torchvision-datasets/
  

• torchvision.model

  http://pytorch-cn./zh/latest/torchvision/torchvision-models/

• torchvision.transforms

  http://pytorch-cn./zh/latest/torchvision/torchvision-transform/
  

• torchvision.utils

  http://pytorch-cn./zh/latest/torchvision/torchvision-utils/