pytorch
https://github.com/pytorch/pytorch
Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- Issues
- [inductor] Cache per-node tiling in fusion candidate evaluation
- [dynamo] Add as_strided_ handler to fix metadata propagation (#185888)
- [Inductor] Allow output-input aliasing in torch.cond branches (#186104)
- Test: TestSelectAlgorithm.test_mm_dropout
- [optim] support of dynamic coefficients and normalization in Muon
- torch.compile(fullgraph=True) fails with PendingUnbackedSymbolNotFound when tensor-derived scalar values are used as slice bounds
- Sub-optimal heuristics in MixOrderReduction prevent fusion
- [inductor] Numerical inconsistency: polygamma + cumulative_trapezoid under torch.compile(dynamic=True) produces wrong results after Conv2d + GroupNorm
- [Inductor] Mix-Order Reduction: XBLOCK Derivation Ignores N in RMSNorm Backward, Causing Bandwidth Cliff
- [Inductor] torch.index_add accepts negative index while eager raises out-of-bounds error
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