# PyTorch 中文文档 如果你在使用pytorch和pytorch-cn的过程中有任何问题，欢迎在issue中讨论，可能你的问题也是别人的问题。 ## 翻译进度 现在正在进行审阅任务（大家赶紧认领吧～） 第一个名字代表翻译人，第二个代表审阅人 ### Notes - \[x\] Autograd mechanics (*ycszen*)(DL-ljw) - \[x\] CUDA semantics (*ycszen*) - \[x\] Extending PyTorch (*KeithYin*) - \[x\] Multiprocessing best practices (*ycszen*) - \[x\] Serialization semantics (*ycszen*) ### Package Reference - \[x\] torch(*koshinryuu*)(飞彦) - \[x\] torch.Tensor(*weigp*)(飞彦) - \[x\] torch.Storage(*kophy*) - \[ \] **torch.nn** - \[x\] Parameters(*KeithYin*) - \[x\] Containers(*KeithYin*) - \[x\] Convolution Layers(*yichuan9527*) - \[x\] Pooling Layers(*yichuan9527*) - \[x\] Non-linear Activations(*swordspoet*) - \[x\] Normalization layers(*XavierLin*) - \[x\] Recurrent layers(*KeithYin*)(Mosout) - \[x\] Linear layers( )(Mosout) - \[x\] Dropout layers( )(Mosout) - \[x\] Sparse layers(Mosout) - \[x\] Distance functions - \[x\] Loss functions(*KeithYin*)(DL-ljw) - \[x\] Vision layers(*KeithYin*) - \[x\] Multi-GPU layers(*KeithYin*) - \[x\] Utilities(*KeithYin*) - \[x\] torch.nn.functional - \[x\] Convolution functions(*ycszen*)(铁血丹心) - \[x\] Pooling functions(*ycszen*)(铁血丹心) - \[x\] Non-linear activations functions(*ycszen*) - \[x\] Normalization functions(*ycszen*) - \[x\] Linear functions(*dyl745001196*) - \[x\] Dropout functions(*dyl745001196*) - \[x\] Distance functions(*dyl745001196*) - \[x\] Loss functions(*tfygg*)(DL-ljw) - \[x\] Vision functions(*KeithYin*) - \[x\] torch.nn.init(*kophy*)(luc) - \[x\] torch.optim(*ZijunDeng*)(祁杰) - \[x\] torch.autograd(*KeithYin*)(祁杰) - \[x\] torch.multiprocessing(*songbo.han*) - \[x\] torch.legacy(*ycszen*) - \[x\] torch.cuda(*ycszen*) - \[x\] torch.utils.ffi(*ycszen*) - \[x\] torch.utils.data(*ycszen*) - \[x\] torch.utils.model\_zoo(*ycszen*) ### torchvision Reference - \[x\] torchvision (*KeithYin*) - \[x\] torchvision.datasets (*KeithYin*)(loop) - \[x\] torchvision.models (*KeithYin*) - \[x\] torchvision.transforms (*KeithYin*)(loop) - \[x\] torchvision.utils (*KeithYin*)