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authorGravatar A. Unique TensorFlower <nobody@tensorflow.org>2016-03-23 11:24:22 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-03-23 13:37:53 -0700
commit62df5bef660a3b56fcabf7d8266b62b48fb4425b (patch)
treeaad52bc3c14d34b1a7a74faa85c17708a33c1aff /tensorflow/core/util/stat_summarizer.cc
parenteb9dfe550d18fd8b898ca7d9090b0db10db98c00 (diff)
Creating a new contrib directory for audio ops using FFmpeg.
Change: 117956472
Diffstat (limited to 'tensorflow/core/util/stat_summarizer.cc')
-rw-r--r--tensorflow/core/util/stat_summarizer.cc102
1 files changed, 0 insertions, 102 deletions
diff --git a/tensorflow/core/util/stat_summarizer.cc b/tensorflow/core/util/stat_summarizer.cc
deleted file mode 100644
index bd3ec11837..0000000000
--- a/tensorflow/core/util/stat_summarizer.cc
+++ /dev/null
@@ -1,102 +0,0 @@
-/* Copyright 2016 Google Inc. 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 "tensorflow/core/util/stat_summarizer.h"
-
-#include <hash_map>
-#include <iomanip>
-#include <map>
-#include <queue>
-#include <sstream>
-#include <string>
-
-#include "tensorflow/core/framework/graph.pb.h"
-#include "tensorflow/core/framework/step_stats.pb.h"
-#include "tensorflow/core/framework/tensor.h"
-#include "tensorflow/core/framework/types.pb.h"
-#include "tensorflow/core/platform/env.h"
-#include "tensorflow/core/platform/logging.h"
-#include "tensorflow/core/platform/types.h"
-#include "tensorflow/core/public/session.h"
-
-using namespace tensorflow;
-
-void StatSummarizer::ProcessStepStats(const StepStats& step_stats) {
- ++num_runs_;
- int64 curr_total = 0;
- for (const auto& ds : step_stats.dev_stats()) {
- for (const auto& ns : ds.node_stats()) {
- const string name = ns.node_name();
- const int64 curr_time = ns.all_end_rel_micros();
- curr_total += curr_time;
- int64 accum_time = timing_totals_[name];
- timing_totals_[name] = accum_time + curr_time;
- }
- }
- run_total_us_.UpdateStat(curr_total);
-
- timing_total_us_ += curr_total;
-}
-
-void StatSummarizer::PrintHeaders() {
- std::stringstream stream;
- stream << std::setw(40) << "[Name]"
- << "\t" << std::fixed << std::setprecision(2) << std::setw(7) << "[ms]"
- << "\t" << std::fixed << std::setprecision(2) << std::setw(6) << "[%]";
- LOG(INFO) << stream.str();
-}
-
-void StatSummarizer::PrintColumns(const char* name, const double time_ms,
- const double percentage) {
- std::stringstream stream;
- stream << std::setw(40) << name << "\t" << std::fixed << std::setprecision(2)
- << std::setw(7) << time_ms << "\t" << std::fixed
- << std::setprecision(2) << std::setw(6) << percentage;
- LOG(INFO) << stream.str();
-}
-
-void StatSummarizer::PrintStepStats() {
- const double avg_total_ms =
- timing_total_us_ / static_cast<double>(num_runs_) / 1000.0;
-
- LOG(INFO) << "Total time (us): " << run_total_us_;
-
- std::priority_queue<std::pair<double, string> > timings;
- LOG(INFO) << "========== Sorted by run order (ms) ==========";
- PrintHeaders();
- for (auto entry : timing_totals_) {
- const double avg_time_ms =
- entry.second / static_cast<double>(num_runs_) / 1000.0;
-
- const double overall_percentage = 100.0 * avg_time_ms / avg_total_ms;
-
- PrintColumns(entry.first.c_str(), avg_time_ms, overall_percentage);
- timings.push(std::pair<double, string>(avg_time_ms, entry.first));
- }
- LOG(INFO);
-
- LOG(INFO) << "============ Top by duration =================";
- PrintHeaders();
- int num_printed = 0;
- while (!timings.empty() && num_printed < 10) {
- auto entry = timings.top();
- timings.pop();
-
- const double overall_percentage = 100.0 * entry.first / avg_total_ms;
- PrintColumns(entry.second.c_str(), entry.first, overall_percentage);
- ++num_printed;
- }
- LOG(INFO);
-}