Xinyu Yang 308c45e61a [Torch] Fix PrimListUnpackOp::getCanonicalizationPatterns (#3140) ... Fix the case PrimListUnpackOp's result num is not equal to PrimList length. See the following example: ```python def forward(self, x): if len(x.shape) == 5: b0, t, c0, h0, w0 = x.shape b, c, h, w = torch.mul(b0, t), c0, h0, w0 else: b1, c1, h1, w1 = x.shape b, c, h, w = b1, c1, h1, w1 res = torch.reshape(x, [b, c, h, w]) return res ``` Without this fix, the following error message will occur： ``` /root/torch-mlir/externals/llvm-project/mlir/lib/IR/PatternMatch.cpp:118: virtual void mlir::RewriterBase::replaceOp(mlir::Operation *, mlir::ValueRange): Assertion `op->getNumResults() == newValues.size() && "incorrect # of replacement values"' failed. ```		2024-04-11 19:48:49 +08:00
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main.py	[onnx] Add testing using the `onnx` compilation using torch tests (#2795)	2024-02-15 10:17:13 -08:00
xfail_sets.py	[Torch] Fix PrimListUnpackOp::getCanonicalizationPatterns (#3140)	2024-04-11 19:48:49 +08:00