torch-mlir/test/Conversion
zjgarvey dcb48dd46c
[ONNX] Fix LpNormalization Lowering (#3521)
The LpNormalization lowering was previously just computing the norm,
which is incorrect. This computes the norm then divides the input tensor
by it's norm.

I've tested this against some simple onnx models locally. I'll look into
adding a test case for this in an external test suite.
2024-07-09 15:42:26 -05:00
..
TorchConversionToMLProgram Bump LLVM and StableHLO (#2598) 2023-11-28 22:12:24 -08:00
TorchOnnxToTorch [ONNX] Fix LpNormalization Lowering (#3521) 2024-07-09 15:42:26 -05:00
TorchToArith [torch-mlir] bump stablehlo/llvm version (#3471) 2024-06-18 16:59:53 -07:00
TorchToLinalg Add support for multiple dynamic reassociation dims for unflatten.int (#3504) 2024-06-28 09:59:51 -07:00
TorchToSCF TorchToLinalg: Try folding shape computations to keep static shapes when possible (#3475) 2024-06-27 08:43:10 +02:00
TorchToStablehlo [Stablehlo] use index type as dim size, avoid to generate index_cast (#3526) 2024-07-07 18:03:03 +08:00
TorchToTensor [onnx] Lowering for `onnx.shape` to `torch` and `tensor` (#2648) 2023-12-15 11:37:49 -08:00
TorchToTosa [Tosa] Conversion from torch.__interpolate to tosa.resize() (#3488) 2024-06-26 09:10:14 -07:00