James Newling e81282ae8f Support for prims collapse op (lowering to linalg) (#2572) ... 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)		2023-11-15 08:34:38 -08:00
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main.py	Re-organize project structure to separate PyTorch dependencies from core project. (#2542)	2023-11-02 19:45:55 -07:00
xfail_sets.py	Support for prims collapse op (lowering to linalg) (#2572)	2023-11-15 08:34:38 -08:00