torch-mlir/test/Conversion/TorchToLinalg
Longsheng Mou 3180704b14
[TorchToLinalg][test] Add test for ConvertAtenConvolutionOp (#3679)
This patch add a test for 638ef14, which use `linalg.broadcast` instead
of `generic` for convolution bias.

Co-authored-by: Rongsheng Gao <gaorongsheng@huawei.com>
2024-08-30 09:51:50 +00:00
..
basic.mlir Change linalg.matmul_unsigned to linalg.matmul with unsigned type_fn (#3587) 2024-08-02 11:32:24 -07:00
broadcast.mlir [TorchToLinalg] Improve broadcast lowerings in strict symbolic modes (#2505) 2023-10-05 15:15:26 -04:00
convolution.mlir [TorchToLinalg][test] Add test for ConvertAtenConvolutionOp (#3679) 2024-08-30 09:51:50 +00:00
elementwise.mlir TorchToLinalg: Try folding shape computations to keep static shapes when possible (#3475) 2024-06-27 08:43:10 +02:00
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 [TorchToLinalg] Fix possible OOB access in Interpolate lowering (#3570) 2024-08-02 13:55:37 -05:00
sparse.mlir [torch-mlir] bump stablehlo/llvm version (#3471) 2024-06-18 16:59:53 -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