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torch-mlir/test
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Sean Silva 73cc2ac152 Ensure that imported function input type and block arg types are consistent. 
I wasn't able to find exactly what frontend situation created it, but
`torch.jit.trace` will sometimes create functions where the
`jit::Block`'s param node has refined tensor types. So we need to adjust
the function's formal param types to those refined types.
 		2022-04-27 08:01:23 -07:00
..
Conversion llvm: bump tag to e1318078 (#781) 2022-04-26 12:27:51 -07:00
Dialect llvm: bump tag to e1318078 (#781) 2022-04-26 12:27:51 -07:00
RefBackend [Torch][Linalg] Add basic support for RNG 2022-01-31 18:56:42 -05:00
python Ensure that imported function input type and block arg types are consistent. 2022-04-27 08:01:23 -07:00
CMakeLists.txt Move external/torch-mlir to the root of the repo. 2021-09-27 17:11:08 -07:00
lit.cfg.py Add tool substitutions to support out-of-tree builds 2021-10-07 21:16:43 -07:00
lit.site.cfg.py.in Move external/torch-mlir to the root of the repo. 2021-09-27 17:11:08 -07:00