torch-mlir/e2e_testing
Bruce Kim cd1c7df8be
[MLIR][TORCH] Add E2E support for view_as_real op (#2419)
* view_as_real test case, allow dtype in testutils.randn

* abstract python upstream func implemented

* fixed upstream dtype func, implemented view_as_real backend op

* formatted AtenViewAsRealOp, removed change in e2etest/framework

* removed test suit from reshape_like.py, because it's moved to basic.py

* implemented C-API wrapper for mlirComplexF128 type

* fixed torch.complex dtype width in MLIR and Torch MLIR, deleted float16 dtype dict

* Changed IR input of aten fft_fft unit test

* code refactored

* code refactored and fixed ci test

* refactored: removed white spaces, and rolled back to having both input/output affine expr

* refactored: deleted output affine expr to reduce redundancy

* xfail ltc backend

* removed ComplexImag and ComplexReal from torchdynamo xfail set

* copied and pasted from main branch as there's no change to be made in this file

* refactored abstract_interp_lib_gen.py

* refactored: torchtypes.td, formatted, removed commented out code
2023-09-01 21:12:01 -07:00
..
main.py [LTC] Tensor[]? support operands type support using partial codegen (#2410) 2023-08-30 06:29:39 -04:00
xfail_sets.py [MLIR][TORCH] Add E2E support for view_as_real op (#2419) 2023-09-01 21:12:01 -07:00