/* 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 XLA_TSL_UTIL_STATS_CALCULATOR_H_ #define XLA_TSL_UTIL_STATS_CALCULATOR_H_ #include <stdlib.h> #include <algorithm> #include <cmath> #include <limits> #include <map> #include <sstream> #include <string> #include <vector> #include "xla/tsl/util/stat_summarizer_options.h" namespace tsl { template <typename ValueType, typename HighPrecisionValueType = double> class Stat { … }; // A StatsCalculator assists in performance analysis of Graph executions. // // It summarizes time spent executing (on GPU/CPU), memory used etc for // graph execution. // // For example usage see StatsSummarizer. class StatsCalculator { … }; } // namespace tsl #endif // XLA_TSL_UTIL_STATS_CALCULATOR_H_