*) Adds LoopFusionUtils which will expose a set of loop fusion utilities (e.g. dependence checks, fusion cost/storage reduction, loop fusion transformation) for use by loop fusion algorithms. Support for checking block-level fusion-preventing dependences is added in this CL (additional loop fusion utilities will be added in subsequent CLs).
*) Adds TestLoopFusion test pass for testing LoopFusionUtils at a fine granularity.
*) Adds unit test for testing dependence check for block-level fusion-preventing dependences.
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PiperOrigin-RevId: 249861071
Originally, FunctionConverter::convertRegion in the DialectConversion framework
was implemented as a function template because it was creating a new region in
the parent object, which could have been an op or a function. Since
DialectConversion now operates in place, new region is no longer created so
there is no need for convertRegion to be aware of the parent, only of the error
reporting location.
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PiperOrigin-RevId: 249826392
* There is no longer a need to explicitly remap function attrs.
- This removes a potentially expensive call from the destructor of Function.
- This will enable some interprocedural transformations to now run intraprocedurally.
- This wasn't scalable and forces dialect defined attributes to override
a virtual function.
* Replacing a function is now a trivial operation.
* This is a necessary first step to representing functions as operations.
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PiperOrigin-RevId: 249510802
Using ArrayRef introduces issues with the order of evaluation between a constructor and
the arguments of the subsequent calls to the `operator()`.
As a consequence the order of captures is not well-defined can go wrong with certain compilers (e.g. gcc-6.4).
This CL fixes the issue by using lambdas in lieu of ArrayRef.
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PiperOrigin-RevId: 249114775
The converter now works by inserting fake producer operations when replacing the results of an existing operation with values of a different, now legal, type. These fake operations are guaranteed to never escape the converter.
--
PiperOrigin-RevId: 248969130
generates remarks for testing, it isn't itself a transformation.
While there, upgrade its diagnostic emission to use the streaming interface.
Prune some unnecessary #includes.
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PiperOrigin-RevId: 247768062
The string was referenced but not captured in the lambda, which causes
a failure when compiling with MSVC.
This issue was discovered by @loic-joly-sonarsource with a proposed fix
in https://github.com/tensorflow/mlir/pull/22.
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PiperOrigin-RevId: 247085897
Trying to activate both LLVM and MLIR passes in mlir-cpu-runner showed name collisions when registering pass names.
One possible way of disambiguating that should also work across dialects is to prepend the dialect name to the passes that specifically operate on that dialect.
With this CL, mlir-cpu-runner tests still run when both LLVM and MLIR passes are registered
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PiperOrigin-RevId: 246539917
This CL implements the previously unsupported parsing for Range, View and Slice operations.
A pass is introduced to lower to the LLVM.
Tests are moved out of C++ land and into mlir/test/Examples.
This allows better fitting within standard developer workflows.
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PiperOrigin-RevId: 245796600
During the pattern rewrite, if the function is changed, i.e. ops created,
deleted or swapped, the pattern rewriter needs to re-scan the function entirely
and apply the patterns again, so the patterns whose root ops have been popped
out from the working list nor an immediate users of the changed ops can be
reconsidered.
A command line flag is added to set the max number of iterations rescanning the
function for pattern match. If the rewrite doesn' converge after this number,
this compiling will continue and the result can be sub-optimal.
One unit test is updated because this change fixed the missing optimization opportunities.
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PiperOrigin-RevId: 244754190
