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Wonjoo Lee
a171b0636a
Add use_lazy_shape flag to GenLazyIr class (#88444)
Add use_lazy_shape flag to GenLazyIr class to allow XLA to use its custom shape class. The default value is kept to use lazy shape, so this PR does not introduce any new behaviors. PyTorch/XLA companion PR: https://github.com/pytorch/xla/pull/4111 Pull Request resolved: https://github.com/pytorch/pytorch/pull/88444 Approved by: https://github.com/alanwaketan, https://github.com/wconstab |
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__init__.py | Apply ufmt linter to all py files under torchgen (#81570) | 1 year ago | |||||||||
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lazy_ir.py | Add use_lazy_shape flag to GenLazyIr class (#88444) | 1 year ago | |||||||||
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lazy_ts_lowering.py | Replace all CHECK_ and DCHECK_ with TORCH_* macros (#82032) | 1 year ago | |||||||||
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native_functions.py | Apply ufmt linter to all py files under torchgen (#81570) | 1 year ago | |||||||||
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register_dispatch_key.py | Revert "Revert "Symintifying slice ops (#85196)"" (#85746) | 1 year ago | |||||||||
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ufunc.py | Use OrderedSet in ufunc codegen (#82567) | 1 year ago | |||||||||
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
C++ Python Cuda Text C other
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