mirror of https://github.com/llvm/torch-mlir
e81282ae8f
Steps taken: 1) add generator code to torch_ods_gen.py, run update_torch_ods.sh 2) add (custom) shape and type inference generator code to abstract_interp_lib_gen.py, run update_abstract_interp_lib.sh 3) Implement lowering to tensor.collapse_dims. Requires the `start` and `end` values to be constant, else lowering fails 4) Update xfail_sets.py (append to LTC_XFAIL_SET) after running /tools/e2e_test.sh --filter Collapse --verbose -c XX for all support backends (XX). Motivation: - Supporting the collapse operation will be useful for lowering of pixel_shuffle (see Issue #2559) |
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| .. | ||
| TorchConversionToMLProgram | ||
| TorchToArith | ||
| TorchToLinalg | ||
| TorchToSCF | ||
| TorchToStablehlo | ||
| TorchToTMTensor | ||
| TorchToTosa | ||
| Utils | ||
| CMakeLists.txt | ||
| PassDetail.h | ||
| Passes.cpp | ||