Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/42473
Adds a call to mlir_check_all_link_libraries() to check all libraries
linked into mlir-hlo-opt.
Copybara import of the project:
--
0bf620f5f2708e730689eab8a5512fb00eaf1706 by Marius Brehler <marius.brehler@iml.fraunhofer.de>:
Check libraries linked into mlir-hlo-opt
Adds a call to mlir_check_all_link_libraries() to check all libraries
linked into mlir-hlo-opt.
COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/42473 from marbre:check_link_libraries 0bf620f5f2708e730689eab8a5512fb00eaf1706
PiperOrigin-RevId: 327463012
By adding support for complex types to GetScalarOfType and using appropriate
choice of limits for initial values in the unsorted segment reduction ops.
PiperOrigin-RevId: 327061577
This method no longer needs to be explicitly defined by the user, so all of the existing definitions are dead and can be removed.
PiperOrigin-RevId: 326350650
This allows specifying a constant whose shape is only known when operand shape is. Also use it to update tf.Acos legalization.
PiperOrigin-RevId: 325860604
This adds the XlaBuilder RngBitGenerator to the MHLO dialect. The op is currently represented very directly using int attribute for random algorithm and direct import/export.
PiperOrigin-RevId: 325814134
HLO requires that the element types match for all start index parameters. Right now we don't catch this invalid case until export, so adding a check in the verifier so that we catch this sooner.
This also requires a small tweak to the TF InplaceUpdate op lowering.
PiperOrigin-RevId: 325463796
- Use FuncOp::getArguments() and Region::getArguments() and friends where possible
instead of going through the front() block.
PiperOrigin-RevId: 325352975
For input and output dimensions which must match, we shouldn't fail in the case where one dim is dynamic and the other is static. This is insufficient information to conclude a dimension mismatch.
PiperOrigin-RevId: 325344738
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
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: 325079842
The transformation of unranked to ranked operations no longer generates cast
operations for shapes and sizes. Instead, we use the newly introduced support
for extent tensor and index types directly.
PiperOrigin-RevId: 325057440
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: 325056915
Instead, we invoke multiple test tools in a row in end to end tests now. For hlo dialects and passes, we use mlir-hlo-opt explicitly.
PiperOrigin-RevId: 324989884
A. Unique TensorFlower
Mehdi Amini
Marius Brehler
Richard Uhler
Jacques Pienaar
River Riddle
Robert Suderman
Alexander Belyaev
Benjamin Kramer
Andy Ly
Geoffrey Martin-Noble
Lucy Fox
Rahul Joshi
Stephan Herhut