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Add a new documentation to show one memory usage benefit brought by TorchDynamo-based ONNX exporter. Also add a unit test to make sure TorchDynamo-based ONNX exporter works well under FakeTensorMode. Pull Request resolved: https://github.com/pytorch/pytorch/pull/139388 Approved by: https://github.com/xadupre |
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| .. | ||
| distributed_autograd | ||
| dynamo | ||
| fine_grained_apis | ||
| inductor_profiling | ||
| masked | ||
| nn | ||
| onnx | ||
| pipeline_parallelism | ||
| profiling_torch_compile | ||
| tensorboard | ||
| torch_cuda_memory | ||
| aliastracker_graph.png | ||
| dynamic_graph.gif | ||
| meshgrid.png | ||
| pytorch-logo-dark-unstable.png | ||
| pytorch-logo-dark.png | ||
| pytorch-logo-dark.svg | ||
| pytorch-logo-flame.png | ||
| pytorch-logo-flame.svg | ||
| rpc_arch.png | ||
| tensor_illustration.png | ||