wehub-resource-sync
53 lines
2.0 KiB
C++
53 lines
2.0 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_PASSES_PASSES_H_
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#define TENSORFLOW_COMPILER_MLIR_TFR_PASSES_PASSES_H_
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#include <memory>
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#include <optional>
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#include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project
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#include "mlir/IR/BuiltinOps.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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// Scans the func op and adds all the canonicalization patterns of the ops
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// except the tf ops, inside the function.
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void populateCanonicalizationPatterns(func::FuncOp func,
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RewritePatternSet &patterns);
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// Decompose ops.
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std::unique_ptr<OperationPass<func::FuncOp>> CreateDecomposeTFOpsPass(
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std::optional<ModuleOp> tfr_module = std::nullopt);
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// Rewrites quantized operands and results with their storage types.
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// This pass should be run at module level after decomposition, if there are
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// quantized operands or results.
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std::unique_ptr<OperationPass<ModuleOp>> CreateRewriteQuantizedIOPass();
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// Raise to TF ops.
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std::unique_ptr<OperationPass<func::FuncOp>> CreateRaiseToTFOpsPass(
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std::optional<ModuleOp> tfr_module = std::nullopt,
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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_PASSES_PASSES_H_
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