A. Unique TensorFlower 6af3d2df91 [MLIR][HLO] Add rank specialization with multiple non-scalar operands ... Add lowering pattern for rank specialization clusters with more than one non-scalar operand. The lowering resembles that of the `TransformUnrankedHlo` pass and switches cases for maximal ranks from 1 through 8. PiperOrigin-RevId: 374377002		2021-05-18 03:02:45 -07:00
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IR	[HLO] Add custom print/parse for window attributes of convolutions (in LMHLO)	2021-05-14 09:47:25 -07:00
transforms	[MLIR][HLO] Add rank specialization with multiple non-scalar operands	2021-05-18 03:02:45 -07:00
CMakeLists.txt	Add CMake files and lit configurations, enough for `ninja check-mlir-hlo` to pass on all the tests	2020-08-07 22:14:34 -07:00