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  /external/tensorflow/tensorflow/core/common_runtime/
step_stats_collector.h 33 class NodeExecStats;
37 // Wraps NodeExecStats and adds allocation to it.
42 NodeExecStatsWrapper(NodeExecStats* stats);
47 NodeExecStats* stats() { return stats_.get(); }
62 std::unique_ptr<NodeExecStats> stats_;
67 // Each DeviceStats object holds multiple NodeExecStats.
82 void Save(const string& device, NodeExecStats* nt);
profile_handler.h 59 virtual void RecordOneOp(const string& device, const NodeExecStats& stats,
step_stats_collector.cc 40 : NodeExecStatsWrapper(new NodeExecStats) {}
41 NodeExecStatsWrapper::NodeExecStatsWrapper(NodeExecStats* stats)
200 std::unordered_map<string, NodeExecStats> name_to_hw_node_stats;
210 // which results in multiple NodeExecStats with the same node name. For
224 const NodeExecStats& stats = dev_stats.regular_stats->node_stats(i);
246 const NodeExecStats& hw_stats = name_to_hw_node_stats[node_name];
258 void StepStatsCollector::Save(const string& device, NodeExecStats* nt) {
executor.cc 141 NodeExecStats* nt = stats->stats();
148 NodeExecStats* nt = stats->stats();
155 NodeExecStats* nt = stats->stats();
    [all...]
  /external/tensorflow/tensorflow/python/debug/lib/
profiling_test.py 30 node_1 = step_stats_pb2.NodeExecStats(
38 node_2 = step_stats_pb2.NodeExecStats(
46 node_3 = step_stats_pb2.NodeExecStats(
54 node_4 = step_stats_pb2.NodeExecStats(
  /external/tensorflow/tensorflow/core/distributed_runtime/
worker_cache_logger.cc 72 NodeExecStats* ns) {
102 NodeExecStats* ns = new NodeExecStats;
worker_cache_logger.h 57 // Generates a NodeExecStats record with the given data, and saves for
63 // Generates a NodeExecStats record with the given data, and saves for
84 void Save(const string& device, int64 step_id, NodeExecStats* ns);
master_session.cc 196 string DetailText(const Node& node, const NodeExecStats& ns) {
793 // sufficient data being present in the NodeExecStats.
    [all...]
  /external/tensorflow/tensorflow/python/debug/cli/
profile_analyzer_cli_test.py 84 node1 = step_stats_pb2.NodeExecStats(
90 node2 = step_stats_pb2.NodeExecStats(
120 node1 = step_stats_pb2.NodeExecStats(
179 node1 = step_stats_pb2.NodeExecStats(
186 node2 = step_stats_pb2.NodeExecStats(
231 node1 = step_stats_pb2.NodeExecStats(
238 node2 = step_stats_pb2.NodeExecStats(
285 node1 = step_stats_pb2.NodeExecStats(
292 node2 = step_stats_pb2.NodeExecStats(
  /external/tensorflow/tensorflow/core/util/
stat_summarizer.h 35 class NodeExecStats;
206 void Validate(const Detail* detail, const NodeExecStats& ns) const;
stat_summarizer.cc 49 const NodeExecStats& ns) const {
86 std::string OpType(const DeviceStepStats& ds, const NodeExecStats& ns) {
  /external/tensorflow/tensorflow/core/profiler/internal/
tfprof_node.cc 31 // Notes about start and end time from the NodeExecStats proto:
47 void ExecStep::AddTimeStats(const string& dev, const NodeExecStats& step_stat) {
82 const NodeExecStats& step_stat) {
161 // 'NodeExecStats.memory'.
163 // in 'NodeExecStats.memory_stats'.
165 // in 'NodeExecStats.memory'. However, there is no way to count it as
169 // 'NodeExecStats.memory_stats'. It's suspicious. But we should
196 const NodeExecStats& step_stat) {
tfprof_node.h 91 void AddTimeStats(const string& dev, const NodeExecStats& step_stat);
93 void AddMemoryStats(const string& dev, const NodeExecStats& step_stat);
354 const NodeExecStats& step_stat);
tfprof_stats.cc 284 for (const NodeExecStats& node_stat : dev_stat.node_stats()) {
  /external/tensorflow/tensorflow/core/platform/default/
device_tracer.cc 591 NodeExecStats *ns = new NodeExecStats;
602 auto nscopy = new NodeExecStats;
610 NodeExecStats *ns = new NodeExecStats;
627 auto nscopy = new NodeExecStats;
  /external/tensorflow/tensorflow/c/eager/
runtime.h 179 NodeExecStats* stats);
runtime.cc 265 NodeExecStats* stats) {
c_api.cc     [all...]
  /external/tensorflow/tensorflow/core/profiler/internal/advisor/
tfprof_advisor_test.cc 53 NodeExecStats node_stat;
  /external/tensorflow/tensorflow/python/profiler/
pprof_profiler_test.py 67 node1 = step_stats_pb2.NodeExecStats(
  /external/tensorflow/tensorflow/core/grappler/costs/
virtual_scheduler.cc     [all...]

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