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mlir-hlo/lib/utils
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A. Unique TensorFlower a68a16cdc7 [MLIR][XLA] Allow for choice of safe/unsafe variant in broadcast utils 
Create safe or unsafe variants of `shape.broadcast` depending on the context.
The representation by means of an extent tensor is only legal if the operands
are known to be broadcastable. Currently, there is no use in a safe context in
the codebase but it will be used for shape inference eventually.

PiperOrigin-RevId: 325228073
 		2020-08-07 22:16:11 -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
broadcast_utils.cc [MLIR][XLA] Allow for choice of safe/unsafe variant in broadcast utils 2020-08-07 22:16:11 -07:00
convert_op_folder.cc More cleanup in mlir-hlo to prepare for the standalone build 2020-08-03 19:28:00 -07:00
cycle_detector.cc More cleanup in mlir-hlo to prepare for the standalone build 2020-08-03 19:28:00 -07:00
cycle_detector_test.cc More cleanup in mlir-hlo to prepare for the standalone build 2020-08-03 19:28:00 -07:00
hlo_utils.cc More cleanup in mlir-hlo to prepare for the standalone build 2020-08-03 19:28:00 -07:00