Longsheng Mou 0a607a410d [TorchToLinalg] Use `linalg.transpose` instead of `generic` in `permuteTensor` (#3872) ... This PR changes the lowering to use `linalg.transpose` instead of `linalg.generic` in `torch_to_linalg::permuteTensor`.		2024-11-15 17:13:14 +08:00
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basic.mlir	[TorchToLinalg] Use `linalg.transpose` instead of `generic` when lowering `aten.T` (#3660)	2024-09-07 08:09:10 +02:00
broadcast.mlir	[TorchToLinalg] Improve broadcast lowerings in strict symbolic modes (#2505)	2023-10-05 15:15:26 -04:00
convolution.mlir	[TorchToLinalg] Use Op with native channel order for quantized conv2d (#3807)	2024-10-22 20:26:16 +02:00
datamovement.mlir	[TorchToLinalg] Use `linalg.transpose` instead of `generic` in `permuteTensor` (#3872)	2024-11-15 17:13:14 +08:00
elementwise.mlir	Revert "[TorchToLinalg] perform rank0 elementwise computations outside linalg generic ops (#3762)" (#3767)	2024-10-04 14:48:02 -07:00
embeddingBag.mlir	Remove checking for training specific parameters in EmbeddingBag lowering (#3782)	2024-10-15 09:37:26 -04:00
flatten.mlir	Integrate llvm-project at dabdec1001dc368373dd581cf72f37a440873ce3 (#3300)	2024-05-08 14:43:06 -04:00
gridsampler.mlir	[TorchToLinalg] remove `extract_slice` grid_sample lowering (#3483)	2024-08-20 14:23:43 -07:00
pooling.mlir	TorchToLinalg: Try folding shape computations to keep static shapes when possible (#3475)	2024-06-27 08:43:10 +02:00
resize.mlir	OnnxToTorch bicubic interpolation (#3802)	2024-11-12 12:54:29 -06:00
sparse.mlir	[torch-mlir] bump stablehlo/llvm version (#3471)	2024-06-18 16:59:53 -07:00
squeeze.mlir	torch.aten.squeeze.dim lowering with dynamic dims (#3749)	2024-10-08 10:37:31 -07:00
unsqueeze.mlir	Integrate llvm-project at dabdec1001dc368373dd581cf72f37a440873ce3 (#3300)	2024-05-08 14:43:06 -04:00
view.mlir	Add support for multiple dynamic reassociation dims for unflatten.int (#3504)	2024-06-28 09:59:51 -07:00
view_strict.mlir	TorchToLinalg: Try folding shape computations to keep static shapes when possible (#3475)	2024-06-27 08:43:10 +02:00