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Updated nested tensor docs to be NJT-centric (instead of NST-centric). They now include: * High-level description of NST vs. NJT + a recommendation to use NJT * General NJT construction / usage * torch.compile() integration w/ dynamic shapes * Common errors and how to fix them * Contribution guide * Data layout / shape information (with diagram) * Links to more extensive tutorials involving Transformers / SDPA / FlexAttention Pull Request resolved: https://github.com/pytorch/pytorch/pull/145402 Approved by: https://github.com/soulitzer |
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| .. | ||
| distributed_autograd | ||
| dynamo | ||
| fine_grained_apis | ||
| inductor_profiling | ||
| masked | ||
| nested | ||
| 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 | ||