Commit Graph

17 Commits

Author SHA1 Message Date
Mehdi Amini 56222a0694 Adjust License.txt file to use the LLVM license
PiperOrigin-RevId: 286906740
2019-12-23 15:33:37 -08:00
Kazuaki Ishizaki f28c5aca17 Fix minor spelling tweaks (NFC)
Closes tensorflow/mlir#175

PiperOrigin-RevId: 275726876
2019-10-20 09:44:36 -07:00
River Riddle 2acc220f17 NFC: Remove trivial builder get methods.
These don't add any value, and some are even more restrictive than the respective static 'get' method.

PiperOrigin-RevId: 275391240
2019-10-17 20:08:34 -07:00
Mahesh Ravishankar 75906bd565 Handle OpMemberName instruction in SPIR-V deserializer.
Sdd support in deserializer for OpMemberName instruction. For now
the name is just processed and not associated with the
spirv::StructType being built. That needs an enhancement to
spirv::StructTypes itself.
Add tests to check for errors reported during deserialization with
some refactoring to common out some utility functions.
PiperOrigin-RevId: 270794524
2019-09-23 17:11:18 -07:00
River Riddle c61991ef01 Refactor DiagnosticEngine to support multiple registered diagnostic handlers.
This fixes a problem with current save-restore pattern of diagnostics handlers, as there may be a thread race between when the previous handler is destroyed. For example, this occurs when using multiple ParallelDiagnosticHandlers asynchronously:

Handler A
Handler B | - LifeTime - |    Restore A here.
Handler C | --- LifeTime ---| Restore B after it has been destroyed.

The new design allows for multiple handlers to be registered in a stack like fashion. Handlers can return success() to signal that they have fully processed a diagnostic, or failure to propagate otherwise.

PiperOrigin-RevId: 270720625
2019-09-23 11:25:14 -07:00
River Riddle 729727ebc7 NFC: Pass OperationState by reference instead of by pointer.
MLIR follows the LLVM convention of passing by reference instead of by pointer.

PiperOrigin-RevId: 270396945
2019-09-20 19:47:32 -07:00
Lei Zhang 3af6b53381 [spirv] Fix the entry block to start with OpLabel
Each basic block in SPIR-V must start with an OpLabel instruction.
We don't support control flow yet, so this CL just makes sure that
the entry block follows this rule and is valid.

PiperOrigin-RevId: 265718841
2019-08-27 10:51:26 -07:00
Denis Khalikov 8f2dfb51d4 [spirv] Add Block decoration for spv.struct.
Add Block decoration for top-level spv.struct.

Closes tensorflow/mlir#102

PiperOrigin-RevId: 265716241
2019-08-27 10:41:42 -07:00
Lei Zhang 4a55bd5f28 [spirv] Add basic infrastructure for negative deserializer tests
We are relying on serializer to construct positive cases to drive
the test for deserializer. This leaves negative cases untested.

This CL adds a basic test fixture for covering the negative
corner cases to enforce a more robust deserializer.

Refactored common SPIR-V building methods out of serializer to
share it with the deserialization test.

PiperOrigin-RevId: 260742733
2019-07-30 11:55:33 -07:00
River Riddle 30bbd91056 Simplify usages of SplatElementsAttr now that it inherits from DenseElementsAttr.
PiperOrigin-RevId: 253910543
2019-06-19 23:07:34 -07:00
River Riddle 6a0555a875 Refactor SplatElementsAttr to inherit from DenseElementsAttr as opposed to being a separate Attribute type. DenseElementsAttr provides a better internal representation for splat values as well as better API for accessing elements.
PiperOrigin-RevId: 253138287
2019-06-19 23:01:52 -07:00
River Riddle b790a2f396 Remove the explicit attribute kinds for DenseIntElementsAttr and DenseFPElementsAttr in favor of just one DenseElementsAttr. Now that attribute has the ability to define 'classof(Attribute attr)' methods, these derived classes can just be specializations of the main attribute class.
PiperOrigin-RevId: 251948820
2019-06-09 16:22:05 -07:00
Geoffrey Martin-Noble 090662c5f3 Rename VectorOrTensorType to ShapedType
This is in preparation for making it also support/be a parent class of MemRefType. MemRefs have similar shape/rank/element semantics and it would be useful to be able to use these same utilities for them.

    This CL should not change any semantics and only change variables, types, string literals, and comments. In follow-up CLs I will prepare all callers to handle MemRef types or remove their dependence on ShapedType.

    Discussion/Rationale in https://groups.google.com/a/tensorflow.org/forum/#!topic/mlir/cHLoyfGu8y8

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PiperOrigin-RevId: 248476449
2019-05-20 13:43:58 -07:00
Stella Laurenzo d4dcf7de9e Move Quantization -> Dialect/QuantOps, FxpMathOps -> Dialect/FxpMathOps.
Adding the additional layer of directory was discussed offline and matches the Target/ tree. The names match the defacto convention we seem to be following where the C++ namespace is ^(.+)Ops/$ matched against the directory name.

    This is in preparation for patching the Quantizer into this tree, which would have been confusing without moving the Quantization dialect to its more proper home. It is left to others to move other dialects if desired.

    Tested:
      ninja check-mlir

--

PiperOrigin-RevId: 248171982
2019-05-20 13:41:55 -07:00
Jacques Pienaar 1273af232c Add build files and update README.
* Add initial version of build files;
    * Update README with instructions to download and build MLIR from github;

--

PiperOrigin-RevId: 241102092
2019-03-30 11:23:22 -07:00
Lei Zhang eeadfbc170 Change getBroadcastedShape() to return result shape via parameter
This is a more efficient way than returning SmallVector directly.

PiperOrigin-RevId: 239407024
2019-03-29 17:25:38 -07:00
Lei Zhang 7972dcef84 Pull shape broadcast out as a stand-alone utility function
So that we can use this function to deduce broadcasted shapes elsewhere.

Also added support for unknown dimensions, by following TensorFlow behavior.

PiperOrigin-RevId: 237846065
2019-03-29 17:12:11 -07:00