45 lines
1.6 KiB
C++
45 lines
1.6 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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#ifndef TENSORFLOW_COMPILER_MLIR_TFR_IR_TFR_PASSES_H_
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#define TENSORFLOW_COMPILER_MLIR_TFR_IR_TFR_PASSES_H_
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#include "llvm/ADT/None.h"
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#include "llvm/ADT/Optional.h"
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#include "mlir/IR/Function.h" // from @llvm-project
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#include "mlir/IR/Module.h" // from @llvm-project
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#include "mlir/Pass/Pass.h" // from @llvm-project
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#include "mlir/Support/LogicalResult.h" // from @llvm-project
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namespace mlir {
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namespace TFR {
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void populateSCFOpsCanonicalizationPatterns(OwningRewritePatternList &results,
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MLIRContext *context);
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// Decompose ops.
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std::unique_ptr<OperationPass<FuncOp>> CreateDecomposeTFOpsPass(
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llvm::Optional<ModuleOp> tfr_module = llvm::None);
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// Raise to TF ops.
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std::unique_ptr<OperationPass<FuncOp>> CreateRaiseToTFOpsPass(
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llvm::Optional<ModuleOp> tfr_module = llvm::None,
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bool materialize_derived_attrs = false);
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} // namespace TFR
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} // namespace mlir
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#endif // TENSORFLOW_COMPILER_MLIR_TFR_IR_TFR_PASSES_H_
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