Ian Wood 8787970afe [Torch] Fold no-op reshape (#3769) ... This was preventing dynamic dims in an ONNX model from being reified (causing the generation of `tensor.cast`s and preventing fusion in iree): ```mlir %2 = torch.vtensor.literal(dense<[4, 256]> : tensor<2xsi64>) : !torch.vtensor<[2],si64>] %7 = torch.prim.ListConstruct %int2 : (!torch.int) -> !torch.list<int> %8 = torch.aten.reshape %2, %7 : !torch.vtensor<[2],si64>, !torch.list<int> -> !torch.vtensor<[2],si64> //... chain of foldable ops linking %2 to the `shape` operand of a `torch.aten.broadcast_to ... -> !torch.vtensor<[?,?],si64>` ```		2024-10-10 18:54:27 -07:00
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torch-mlir	[Torch] Fold no-op reshape (#3769)	2024-10-10 18:54:27 -07:00
torch-mlir-c	[ONNX] add int16 quantization support (#3446)	2024-06-12 10:37:22 +05:30
torch-mlir-dialects	[Torch] [TMTensor] Added mask and is_causal support for torch.aten.scaled_dot_product_attention (#3690)	2024-09-09 15:51:41 -07:00
CMakeLists.txt	[NFC reformat] Run pre-commit on all files and format misc.	2024-04-27 14:08:09 -07:00