mlir-hlo/lib/Dialect/mhlo/IR
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
chlo_ops.cc [MLIR][XLA] Allow for choice of safe/unsafe variant in broadcast utils 2020-08-07 22:16:11 -07:00
dialect_registration.cc More cleanup in mlir-hlo to prepare for the standalone build 2020-08-03 19:28:00 -07:00
hlo_ops.cc Add canonicalization for unpacking and repacking the same tuple (e.g. tuple -> get_tuple_element -> tuple). 2020-08-05 21:38:02 -07:00
hlo_patterns.td More cleanup in mlir-hlo to prepare for the standalone build 2020-08-03 19:28:00 -07:00
infer_fusibility_op_interface.cc More cleanup in mlir-hlo to prepare for the standalone build 2020-08-03 19:28:00 -07:00
init.cc More cleanup in mlir-hlo to prepare for the standalone build 2020-08-03 19:28:00 -07:00
lhlo_ops.cc More cleanup in mlir-hlo to prepare for the standalone build 2020-08-03 19:28:00 -07:00
mhlo_canonicalize.td More cleanup in mlir-hlo to prepare for the standalone build 2020-08-03 19:28:00 -07:00