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The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
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515
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331
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321
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134
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128
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[TORCH] Use higher bit-width during InstanceNormOp's decomposition (#4510)
ee347eaView on GitHub[TorchOnnxToTorch] Use result dtype for `AtenFullOp` dtype operand in `ConstantOfShape` pattern (#4515)
7e8eb0cView on GitHub[TorchToStableHLO] Fix empty indices for gather op (#4477)
68213efView on GitHub[TorchOnnxToTorch] Extract constant axes from vtensor.literal in reduce ops (#4506)
d514333View on GitHub[Torch] Add aten.add.float op with folding and lowering to arith (#4500)
db22eb9View on GitHub[TorchToTosa] Refine argmax integer casting and update tests (#4489)
d7d61abView on GitHub[TorchToTosa] Lower bool bitwise ops to logical ops (#4490)
e4610f6View on GitHubIntegrate LLVM at 977355be38d10c62c3d5498a64618ec926348252 (#4481)
37d27b8View on GitHub[TorchToTosa] Avoid i1 gather by casting through i8 (#4491)
e335a4eView on GitHub[AtenCat] Handle 1-D empty tensors with size (0,) in cat operands (#4497)
d51862eView on GitHubAdd AtenToDtype folding for value tensor literals (#4486)
402c615View on GitHub