

Pipelined Execution


Pipe APIs in PyTorch


Tutorials


Acknowledgements


Quantization


Introduction to Quantization


Quantization API Summary


Quantization Stack


Quantization Support Matrix


Quantization API Reference


Quantization Backend Configuration


Quantization Accuracy Debugging


Quantization Customizations


Best Practices


Frequently Asked Questions


Common Errors


Distributed RPC Framework


Basics


RPC


RRef


RemoteModule


Distributed Autograd Framework


Distributed Optimizer


Design Notes


Tutorials


torch.random


torch.masked


Introduction


Supported Operators


torch.nested


Introduction


Construction


size


unbind


Nested tensor constructor and conversion functions


Supported operations


torch.sparse


Why and when to use sparsity


Functionality overview


Operator overview


Sparse COO tensors


Sparse Compressed Tensors


Supported operations

