52 lines
1.8 KiB
C++
52 lines
1.8 KiB
C++
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
==============================================================================*/
|
|
|
|
#include "mlir-hlo/Dialect/mhlo/IR/hlo_ops.h"
|
|
#include "mlir-hlo/Dialect/mhlo/transforms/passes.h"
|
|
#include "mlir-hlo/Dialect/mhlo/transforms/rewriters.h"
|
|
#include "mlir/Dialect/StandardOps/IR/Ops.h"
|
|
#include "mlir/IR/MLIRContext.h"
|
|
#include "mlir/IR/Operation.h"
|
|
#include "mlir/IR/PatternMatch.h"
|
|
#include "mlir/Pass/Pass.h"
|
|
#include "mlir/Transforms/DialectConversion.h"
|
|
|
|
using mlir::FunctionPass;
|
|
using mlir::PassRegistration;
|
|
using mlir::PassWrapper;
|
|
|
|
namespace {
|
|
class OptimizeMhloPass : public PassWrapper<OptimizeMhloPass, FunctionPass> {
|
|
public:
|
|
explicit OptimizeMhloPass() : PassWrapper<OptimizeMhloPass, FunctionPass>() {}
|
|
|
|
/// Performs the lowering to MHLO dialect.
|
|
void runOnFunction() override;
|
|
};
|
|
} // end anonymous namespace
|
|
|
|
// Lowers the complex operations that can be represented using other operations.
|
|
void OptimizeMhloPass::runOnFunction() {
|
|
// Add lowering patterns to the list.
|
|
mlir::OwningRewritePatternList patterns;
|
|
mlir::mhlo::PopulateOptimizeMHLOPatterns(&getContext(), &patterns);
|
|
|
|
applyPatternsAndFoldGreedily(getFunction(), patterns);
|
|
}
|
|
|
|
std::unique_ptr<mlir::FunctionPass> mlir::mhlo::createOptimizeMhloPass() {
|
|
return std::make_unique<OptimizeMhloPass>();
|
|
}
|