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Diffstat (limited to 'compiler/moco-tf/src/TFOptimizer.cpp')
-rw-r--r-- | compiler/moco-tf/src/TFOptimizer.cpp | 81 |
1 files changed, 81 insertions, 0 deletions
diff --git a/compiler/moco-tf/src/TFOptimizer.cpp b/compiler/moco-tf/src/TFOptimizer.cpp new file mode 100644 index 000000000..2256b99b8 --- /dev/null +++ b/compiler/moco-tf/src/TFOptimizer.cpp @@ -0,0 +1,81 @@ +/* + * Copyright (c) 2019 Samsung Electronics Co., Ltd. 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. + */ + +#include "TFOptimizer.h" + +#include "Knob.h" +#include "ProgressReporter.h" +#include "Transforms.h" + +#include <logo/Phase.h> + +#include <stdex/Memory.h> + +namespace moco +{ +namespace tf +{ + +void TFOptimizer::optimize(loco::Graph *g) const +{ + logo::Phase phase; + + /* TRANSFORM DECLARATION BEGIN */ + if (moco::tf::get<moco::tf::Knob::ResolveFusedBatchNorm>()) + { + phase.emplace_back(stdex::make_unique<moco::ResolveFusedBatchNorm>()); + } + if (moco::tf::get<moco::tf::Knob::FuseBinaryIntoPreceding>()) + { + phase.emplace_back(stdex::make_unique<moco::FuseBinaryIntoPreceding>()); + } + if (moco::tf::get<moco::tf::Knob::ResolveConstantShape>()) + { + phase.emplace_back(stdex::make_unique<moco::ResolveConstantShape>()); + } + if (moco::tf::get<moco::tf::Knob::ResolveReshapeWildcardDim>()) + { + phase.emplace_back(stdex::make_unique<moco::ResolveReshapeWildcardDim>()); + } + if (moco::tf::get<moco::tf::Knob::ResolveSquaredDifference>()) + { + phase.emplace_back(stdex::make_unique<moco::ResolveSquaredDifference>()); + } + if (moco::tf::get<moco::tf::Knob::RemoveTFIdentityNode>()) + { + phase.emplace_back(stdex::make_unique<moco::RemoveTFIdentityNode>()); + } + if (moco::tf::get<moco::tf::Knob::RemoveDeadNode>()) + { + phase.emplace_back(stdex::make_unique<logo::RemoveDeadNodePass>()); + } + if (moco::tf::get<moco::tf::Knob::SqueezeReduceNode>()) + { + phase.emplace_back(stdex::make_unique<moco::SqueezeReduceNode>()); + } + // Shape inference is needed for added nodes doing above transformations + phase.emplace_back(stdex::make_unique<moco::tf::ShapeInferencePass>()); + phase.emplace_back(stdex::make_unique<moco::tf::TypeInferencePass>()); + /* TRANSFORM DECLARATION END */ + + ProgressReporter prog(g, logo::PhaseStrategy::Saturate); + logo::PhaseRunner<logo::PhaseStrategy::Saturate> phase_runner{g}; + phase_runner.attach(&prog); + phase_runner.run(phase); +} + +} // namespace tf +} // namespace moco |