59 lines
2.3 KiB
C++
59 lines
2.3 KiB
C++
/* Copyright 2015 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_TOOLS_BENCHMARK_BENCHMARK_MODEL_H_
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#define TENSORFLOW_TOOLS_BENCHMARK_BENCHMARK_MODEL_H_
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#include "tensorflow/core/public/session.h"
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#include "tensorflow/core/util/stat_summarizer.h"
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namespace tensorflow {
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namespace benchmark_model {
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// Used to help construct dummy inputs for the benchmarking.
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struct InputLayerInfo {
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string name;
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DataType data_type;
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TensorShape shape;
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std::vector<float> initialization_values;
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};
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// Loads a model from disk into a new session.
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Status InitializeSession(int num_threads, const string& graph,
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std::unique_ptr<Session>* session,
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std::unique_ptr<GraphDef>* graph_def);
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// Does a single run of the model that's been loaded into the given session.
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Status RunBenchmark(const std::vector<InputLayerInfo>& inputs,
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const std::vector<string>& outputs,
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const std::vector<string>& targets, Session* session,
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StatSummarizer* stats, int64* inference_time_us);
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// Runs the model multiple time, keeping track of timing information.
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Status TimeMultipleRuns(double sleep_seconds, int num_runs, double max_time_s,
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const std::vector<InputLayerInfo>& inputs,
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const std::vector<string>& outputs,
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const std::vector<string>& targets, Session* session,
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StatSummarizer* stats, int64* total_time_us,
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int64* actual_num_runs);
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// Handles all setup and argument parsing.
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int Main(int argc, char** argv);
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} // namespace benchmark_model
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} // namespace tensorflow
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#endif // TENSORFLOW_TOOLS_BENCHMARK_BENCHMARK_MODEL_H_
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