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Diffstat (limited to 'tensorflow/core/grappler/optimizers/data/noop_elimination.h')
-rw-r--r-- | tensorflow/core/grappler/optimizers/data/noop_elimination.h | 48 |
1 files changed, 48 insertions, 0 deletions
diff --git a/tensorflow/core/grappler/optimizers/data/noop_elimination.h b/tensorflow/core/grappler/optimizers/data/noop_elimination.h new file mode 100644 index 0000000000..c67cea49d5 --- /dev/null +++ b/tensorflow/core/grappler/optimizers/data/noop_elimination.h @@ -0,0 +1,48 @@ +/* Copyright 2018 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_CORE_GRAPPLER_OPTIMIZERS_DATA_NOOP_ELIMINATION_H_ +#define TENSORFLOW_CORE_GRAPPLER_OPTIMIZERS_DATA_NOOP_ELIMINATION_H_ + +#include "tensorflow/core/grappler/optimizers/custom_graph_optimizer.h" + +namespace tensorflow { +namespace grappler { + +// This class eliminates tf.data transformations such as `take(n)` (for n < 0), +// `skip(0)`, or `repeat(1)` +class NoOpElimination : public CustomGraphOptimizer { + public: + NoOpElimination() = default; + ~NoOpElimination() override = default; + + string name() const override { return "noop_elimination"; }; + + Status Init( + const tensorflow::RewriterConfig_CustomGraphOptimizer* config) override { + return Status::OK(); + } + + Status Optimize(Cluster* cluster, const GrapplerItem& item, + GraphDef* output) override; + + void Feedback(Cluster* cluster, const GrapplerItem& item, + const GraphDef& optimize_output, double result) override; +}; + +} // end namespace grappler +} // end namespace tensorflow + +#endif // TENSORFLOW_CORE_GRAPPLER_OPTIMIZERS_DATA_NOOP_ELIMINATION_H_ |