60 lines
2.3 KiB
C++
60 lines
2.3 KiB
C++
/* Copyright 2017 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.
|
|
==============================================================================*/
|
|
|
|
#ifndef TENSORFLOW_COMPILER_TF2XLA_MLIR_BRIDGE_PASS_H_
|
|
#define TENSORFLOW_COMPILER_TF2XLA_MLIR_BRIDGE_PASS_H_
|
|
|
|
#include "llvm/ADT/StringRef.h"
|
|
#include "tensorflow/compiler/mlir/mlir_graph_optimization_pass.h"
|
|
|
|
namespace tensorflow {
|
|
|
|
// This pass uses MLIR to implement all the conversion steps to target XLA from
|
|
// a TensorFlow Function Graph. It is meant to expose a very limited set of
|
|
// functionalities during the bring-up of MLIR-based bridge.
|
|
class MlirBridgePass : public MlirOptimizationPass {
|
|
public:
|
|
llvm::StringRef name() const override { return "bridge"; }
|
|
|
|
bool IsEnabled(const ConfigProto& config_proto) const override {
|
|
return config_proto.experimental().enable_mlir_bridge();
|
|
}
|
|
|
|
// This should be used as a thin mapper around mlir::ModulePass::runOnModule
|
|
// API integrated with the Tensorflow runtime.
|
|
Status Run(const ConfigProto& config_proto, mlir::ModuleOp module) override;
|
|
};
|
|
|
|
// This pass uses MLIR to implement all the conversion steps to target XLA from
|
|
// a TensorFlow V1 Graph. It is meant to expose a very limited set of
|
|
// functionalities during the bring-up of MLIR-based bridge.
|
|
class MlirBridgeV1CompatPass : public MlirV1CompatOptimizationPass {
|
|
public:
|
|
llvm::StringRef name() const override { return "bridge"; }
|
|
|
|
bool IsEnabled(const ConfigProto& config_proto) const override {
|
|
return config_proto.experimental().enable_mlir_bridge();
|
|
}
|
|
|
|
// This should be used as a thin mapper around mlir::ModulePass::runOnModule
|
|
// API integrated with the Tensorflow runtime.
|
|
Status Run(const GraphOptimizationPassOptions& options,
|
|
mlir::ModuleOp module) override;
|
|
};
|
|
|
|
} // namespace tensorflow
|
|
|
|
#endif // TENSORFLOW_COMPILER_TF2XLA_MLIR_BRIDGE_PASS_H_
|