torch.device¶| pytorch.org
Implement distributed data parallelism based on torch.distributed at module level.| pytorch.org
Applies Batch Normalization over a 4D input.| pytorch.org
Base class for all neural network modules.| pytorch.org
A guide to torch.cuda, a PyTorch module to run CUDA operations| pytorch.org
The following sections describe the standard types that are built into the interpreter. The principal built-in types are numerics, sequences, mappings, classes, instances and exceptions. Some colle...| Python documentation