# 主页
# PyTorch中文文档
PyTorch是使用GPU和CPU优化的深度学习张量库。
## 说明
- [自动求导机制](autograd.html)
- [CUDA语义](cuda.html)
- [扩展PyTorch](extending.html)
- [多进程最佳实践](multiprocessing.html)
- [序列化语义](serialization.html)
## Package参考
- [torch](torch_split_000.html)
- [torch.Tensor](Tensor.html)
- [torch.Storage](Storage.html)
- [torch.nn](torch-nn.html)
- [torch.nn.functional](functional.html)
- [torch.nn.init](nn_init.html)
- [torch.optim](torch-optim.html)
- [torch.autograd](torch-autograd.html)
- [torch.multiprocessing](torch-multiprocessing.html)
- [torch.legacy](legacy.html)
- [torch.cuda](torch-cuda.html)
- [torch.utils.ffi](ffi.html)
- [torch.utils.data](data.html)
- [torch.utils.model\_zoo](model_zoo.html)
## torchvision参考
- [torchvision](torchvision.html)
- [torchvision.datasets](torchvision-datasets.html)
- [torchvision.models](torchvision-models.html)
- [torchvision.transforms](torchvision-transform.html)
- [torchvision.utils](torchvision-utils.html)## 致谢
- [致谢](acknowledgement.html)
- PyTorch 中文文档
- 主页
- 自动求导机制
- CUDA语义
- 扩展PyTorch
- 多进程最佳实践
- 序列化语义
- torch
- torch.Tensor
- torch.Storage
- torch.nn
- torch.nn.functional
- torch.autograd
- torch.optim
- torch.nn.init
- torch.multiprocessing
- torch.legacy
- torch.cuda
- torch.utils.ffi
- torch.utils.data
- torch.utils.model_zoo
- torchvision
- torchvision.datasets
- torchvision.models
- torchvision.transforms
- torchvision.utils
- 致谢