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688e350725
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/54997 DepTracker was used to automatically pull in dependent computations from output ones. While it seems quite convenient, it's led to several architectural issues, which are fixed in this stack. DepTracker worked on Tensors, which is a pair of Buf and Stmt. However, Stmt could become stale and there was no way to reliably update the corresponding tensor. We're now using Bufs and Stmts directly and moving away from using Tensors to avoid these problems. Removing DepTracker allowed to unify Loads and FunctionCalls, which essentially were duplicates of each other. Test Plan: Imported from OSS Reviewed By: navahgar Differential Revision: D27446414 Pulled By: ZolotukhinM fbshipit-source-id: a2a32749d5b28beed92a601da33d126c0a2cf399 |
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| api | ||
| common | ||
| dist_autograd | ||
| jit | ||
| lite_interpreter_runtime | ||
| rpc | ||
| tensorexpr | ||
| __init__.py | ||