[AutoBump] Merge with fixes of e9ed4af9 (69) #438
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- Add Torch to TOSA legalization for aten.index_select - Fix createOneDimTfIndices function in TosaLegalizeCommon.cpp to correctly convert Torch indices to TF-style indices, which is used in convertGatherNdOp - Update e2e tests in xfail_sets.py - Update basic.mlir with new LIT test for aten.index_select Signed-off-by: Justin Ngo <justin.ngo@arm.com> Change-Id: I52519246183949353a3cf22f0a685fe3df8ec8ff Signed-off-by: Justin Ngo <justin.ngo@arm.com>
…to tm_tensor/linalg_ext dialect (llvm#3754) - To fix issue onnx.ScatterElements: nod-ai/SHARK-ModelDev#823 - E2E test: nod-ai/SHARK-TestSuite#363
- Add Torch to TOSA lowering for aten.fill.Scalar/Tensor, aten.flip, and aten.round - Fix torchScalarToTosaTensor function to correctly convert Torch scalar input to TOSA tensor - Update xfail_sets.py with new e2e results - Update basic.mlir with LIT tests for new ops Change-Id: If1e42c2e582710dd8ad0465eed29806fbcdbde41 Signed-off-by: Justin Ngo <justin.ngo@arm.com>
…lvm#3763) This commit adds the support for negative step values in aten.slice.Tensor op. Although, PyTorch does not allow negative step value for slice op but the Onnx.Slice op supports negative step value which eventually lowers to torch.aten.slice.Tensor op. Hence, the support is added for handling those kind of values during the Torch->Linalg lowering of aten.slice.Tensor op. Signed-Off By: Vivek Khandelwal <vivekkhandelwal1424@gmail.com>
This commit adds the support for the 1-d depthwise convolution as a special case of 1-d group convolution. Signed-Off By: Vivek Khandelwal <vivekkhandelwal1424@gmail.com>
Address nod-ai/SHARK-ModelDev#846 Assume the dynamic squeezed dim is 1.
jorickert
approved these changes
Jan 8, 2025
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