68 lines
2.9 KiB
C++
68 lines
2.9 KiB
C++
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/compiler/mlir/tosa/tf_passes.h"
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#include "mlir/Dialect/Affine/Transforms/Passes.h" // from @llvm-project
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#include "mlir/Dialect/Tosa/Transforms/Passes.h" // from @llvm-project
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#include "mlir/Pass/PassRegistry.h" // from @llvm-project
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#include "mlir/Transforms/Passes.h" // from @llvm-project
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#include "tensorflow/compiler/mlir/tosa/transforms/passes.h"
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namespace mlir {
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namespace tosa {
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void createTFtoTOSALegalizationPipeline(
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OpPassManager& pm, const TOSATFLegalizationPipelineOptions& opts) {
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//----------------------------------------------------------------------------
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// Prepare TFL module for conversion
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//----------------------------------------------------------------------------
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// Inline all functions into main and then delete the functions themselves.
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pm.addPass(mlir::createInlinerPass());
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// Now that there is only one function, run some MLIR passes on it.
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pm.addPass(mlir::createCanonicalizerPass());
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pm.addPass(mlir::createCSEPass());
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pm.addPass(mlir::affine::createLoopFusionPass());
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pm.addPass(mlir::affine::createAffineScalarReplacementPass());
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//----------------------------------------------------------------------------
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// Perform main conversion.
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// Now that there is only one function, run some MLIR passes on it.
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//----------------------------------------------------------------------------
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pm.addPass(mlir::tosa::createFuseBiasTFPass());
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pm.addPass(mlir::tosa::createLegalizeTFPass());
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//----------------------------------------------------------------------------
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// Post conversion cleanup.
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//----------------------------------------------------------------------------
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pm.addPass(mlir::tosa::createTosaInferShapesPass());
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pm.addPass(mlir::tosa::createTosaMakeBroadcastablePass());
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// Inline the call/return basic blocks within TOSA control flow ops.
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pm.addPass(mlir::createInlinerPass());
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// Clean up with DCE.
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pm.addPass(mlir::createSymbolDCEPass());
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}
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void registerTFtoTOSALegalizationPipeline() {
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mlir::PassPipelineRegistration<TOSATFLegalizationPipelineOptions>(
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"tf-to-tosa-pipeline", "TensorFlow to TOSA legalization pipeline",
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createTFtoTOSALegalizationPipeline);
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}
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} // namespace tosa
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} // namespace mlir
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