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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/63997 Use torch_function to extend torch.nn.init.uniform_ The Init is done in SPMD fashion. Note that ideally we want to aggregate sharded tensors into a global tensor, init it and reshard. It's fine to run it SPMD since uniform is I.I.D indepenent and identifically distributed. Also enable unit test for test_linear.py for OSS test Test Plan: a) Unit Test (pytorch) ... $ python test/distributed/_sharded_tensor/ops/test_init.py TestShardedTensorNNInit --v (pytorch) ... $ python test/distributed/_sharded_tensor/ops/test_linear.py --v (before runs this command is no-op) or b) Manual run: Instruction here: https://docs.google.com/document/d/1_m1Hdo5w51-hhPlZ_F8Y6PIWrN7UgJZqiSpARYvhsaE/edit# Imported from OSS Reviewed By: pritamdamania87, anjali411 Differential Revision: D30563017 fbshipit-source-id: d1859f7682235bcb44515efc69ca92bc5e34fce1 |
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| ops | ||
| __init__.py | ||
| api.py | ||