integrations/tensorflow/compiler/Passes.h

// Copyright 2019 Google LLC
//
// 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
//
//      https://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.

#ifndef IREE_INTEGRATIONS_TENSORFLOW_COMPILER_PASSES_H_
#define IREE_INTEGRATIONS_TENSORFLOW_COMPILER_PASSES_H_

#include "mlir/Pass/Pass.h"

namespace mlir {
namespace iree_compiler {

//===----------------------------------------------------------------------===//
// IREE-specific Passes For TensorFlow Import
//===----------------------------------------------------------------------===//

// In a module tagged with `tf_saved_model.semantics`, lowers
// `tf_saved_model.global_variable`'s to `flow.variable`'s.
//
// This pass should be run before adopting the exports, which transitions to
// a module that does not have `tf_saved_model.semantics`.
std::unique_ptr<OperationPass<ModuleOp>> createTFSavedModelLowerGlobalTensors();

// In a module tagged with `tf_saved_model.semantics`, lowers any tf_saved_model
// exported functions to IREE exported functions with appropriate reflection
// metadata.
std::unique_ptr<OperationPass<ModuleOp>>
createTFSavedModelLowerExportedFunctions();

// Push resource casts forward to better propagate resource related shapes.
std::unique_ptr<OperationPass<ModuleOp>> createPropagateResourceCasts();

// Validates whether any Tensorflow operations remain.
std::unique_ptr<OperationPass<FuncOp>> createCheckNoTF();

// Create a single pipeline that will run all the needed IREE-specific TF import
// passes in the right order.
void createIreeTfImportPipeline(OpPassManager &pm);

}  // namespace iree_compiler
}  // namespace mlir

#endif  // IREE_INTEGRATIONS_TENSORFLOW_COMPILER_PASSES_H_