A. Unique TensorFlower e87d53742b Fix handling of negative seeds in random number generator op kernels for XLA ... Casting negative s32 number to u64 directly will have leading 1s in the representation which is not what we want to get a single u64 out of two s32 seeds. Fixed this by first getting unsigned number of the same bit-width. PiperOrigin-RevId: 345618958		2020-12-04 00:04:10 -08:00
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IR	Fix handling of negative seeds in random number generator op kernels for XLA	2020-12-04 00:04:10 -08:00
transforms	[kernel_gen] Lower max rank specialization from 6 to 5	2020-12-03 09:19:25 -08:00
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