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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/41451 Since TE operates on a limited subset of ops with a well-defined semantics, we can easily infer shapes of intermediate and output tensors given shapes of the inputs. There is a couple of ops that are not yet supported in the shape inference, once we add them we could relax the shape info requirements in the TE fuser: currently it requires all values in the fusion group to have shapes known and we can change it to only inputs. Test Plan: Imported from OSS Reviewed By: eellison Differential Revision: D22543470 Pulled By: ZolotukhinM fbshipit-source-id: 256bae921028cb6ec3af91977f12bb870c385f40 |
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| common | ||
| dist_autograd | ||
| jit | ||
| rpc | ||
| tensorexpr | ||
| __init__.py | ||