публичный финальный класс RunMetadata
Metadata output (i.e., non-Tensor) for a single Run() call.
tensorflow.RunMetadata
Вложенные классы
сорт | ЗапуститьМетаданные.Builder | Metadata output (i.e., non-Tensor) for a single Run() call. | |
сорт | RunMetadata.FunctionGraphs | Тип Protobuf tensorflow.RunMetadata.FunctionGraphs | |
интерфейс | RunMetadata.FunctionGraphsOrBuilder |
Константы
интервал | COST_GRAPH_FIELD_NUMBER | |
интервал | FUNCTION_GRAPHS_FIELD_NUMBER | |
интервал | PARTITION_GRAPHS_FIELD_NUMBER | |
интервал | STEP_STATS_FIELD_NUMBER |
Публичные методы
логическое значение | равно (Объект obj) |
СтоимостьGraphDef | getCostGraph () The cost graph for the computation defined by the run call. |
СтоимостьGraphDefOrBuilder | getCostGraphOrBuilder () The cost graph for the computation defined by the run call. |
статические метаданные запуска | |
Запустить метаданные | |
окончательный статический com.google.protobuf.Descriptors.Descriptor | |
RunMetadata.FunctionGraphs | getFunctionGraphs (индекс целого числа) This is only populated for graphs that are run as functions in TensorFlow V2. |
интервал | getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
Список < RunMetadata.FunctionGraphs > | getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2. |
RunMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (индекс int) This is only populated for graphs that are run as functions in TensorFlow V2. |
Список<? расширяет RunMetadata.FunctionGraphsOrBuilder > | getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
ГрафDef | getPartitionGraphs (индекс int) Graphs of the partitions executed by executors. |
интервал | getPartitionGraphsCount () Graphs of the partitions executed by executors. |
Список <GraphDef> | getPartitionGraphsList () Graphs of the partitions executed by executors. |
ГрафDefOrBuilder | getPartitionGraphsOrBuilder (индекс int) Graphs of the partitions executed by executors. |
Список<? расширяет GraphDefOrBuilder > | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
интервал | |
Степстатс | getStepStats () Statistics traced for this step. |
Степстатсорбилдер | getStepStatsOrBuilder () Statistics traced for this step. |
окончательный com.google.protobuf.UnknownFieldSet | |
логическое значение | имеетCostGraph () The cost graph for the computation defined by the run call. |
логическое значение | имеетСтепстатс () Statistics traced for this step. |
интервал | хэш-код () |
последнее логическое значение | |
статический RunMetadata.Builder | newBuilder (прототип RunMetadata ) |
статический RunMetadata.Builder | |
ЗапуститьМетаданные.Builder | |
статические метаданные запуска | parseDelimitedFrom (входной поток) |
статические метаданные запуска | parseDelimitedFrom (ввод InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
статические метаданные запуска | parseFrom (данные ByteBuffer) |
статические метаданные запуска | parseFrom (ввод com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
статические метаданные запуска | parseFrom (данные ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
статические метаданные запуска | parseFrom (вход com.google.protobuf.CodedInputStream) |
статические метаданные запуска | parseFrom (данные byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
статические метаданные запуска | parseFrom (данные com.google.protobuf.ByteString) |
статические метаданные запуска | parseFrom (ввод входного потока, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
статические метаданные запуска | parseFrom (данные com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
статический | парсер () |
ЗапуститьМетаданные.Builder | toBuilder () |
пустота | writeTo (вывод com.google.protobuf.CodedOutputStream) |
Унаследованные методы
Константы
общедоступный статический окончательный int COST_GRAPH_FIELD_NUMBER
Постоянное значение: 2
общедоступный статический окончательный int FUNCTION_GRAPHS_FIELD_NUMBER
Постоянное значение: 4
общедоступный статический окончательный int PARTITION_GRAPHS_FIELD_NUMBER
Постоянное значение: 3
общедоступный статический окончательный int STEP_STATS_FIELD_NUMBER
Постоянное значение: 1
Публичные методы
общедоступное логическое значение равно (Object obj)
общественный CostGraphDef getCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
общедоступный CostGraphDefOrBuilder getCostGraphOrBuilder ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
общедоступный статический окончательный com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public RunMetadata.FunctionGraphs getFunctionGraphs (индекс int)
This is only populated for graphs that are run as functions in TensorFlow V2. There will be an entry below for each function that is traced. The main use cases of the post_optimization_graph and the partition_graphs is to give the caller insight into the graphs that were actually run by the runtime. Additional information (such as those in step_stats) will match these graphs. We also include the pre_optimization_graph since it is usually easier to read, and is helpful in situations where the caller wants to get a high level idea of what the built graph looks like (since the various graph optimization passes might change the structure of the graph significantly).
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;
public int getFunctionGraphsCount ()
This is only populated for graphs that are run as functions in TensorFlow V2. There will be an entry below for each function that is traced. The main use cases of the post_optimization_graph and the partition_graphs is to give the caller insight into the graphs that were actually run by the runtime. Additional information (such as those in step_stats) will match these graphs. We also include the pre_optimization_graph since it is usually easier to read, and is helpful in situations where the caller wants to get a high level idea of what the built graph looks like (since the various graph optimization passes might change the structure of the graph significantly).
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;
общедоступный список < RunMetadata.FunctionGraphs > getFunctionGraphsList ()
This is only populated for graphs that are run as functions in TensorFlow V2. There will be an entry below for each function that is traced. The main use cases of the post_optimization_graph and the partition_graphs is to give the caller insight into the graphs that were actually run by the runtime. Additional information (such as those in step_stats) will match these graphs. We also include the pre_optimization_graph since it is usually easier to read, and is helpful in situations where the caller wants to get a high level idea of what the built graph looks like (since the various graph optimization passes might change the structure of the graph significantly).
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;
public RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (индекс int)
This is only populated for graphs that are run as functions in TensorFlow V2. There will be an entry below for each function that is traced. The main use cases of the post_optimization_graph and the partition_graphs is to give the caller insight into the graphs that were actually run by the runtime. Additional information (such as those in step_stats) will match these graphs. We also include the pre_optimization_graph since it is usually easier to read, and is helpful in situations where the caller wants to get a high level idea of what the built graph looks like (since the various graph optimization passes might change the structure of the graph significantly).
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;
общедоступный список<? расширяет RunMetadata.FunctionGraphsOrBuilder > getFunctionGraphsOrBuilderList ()
This is only populated for graphs that are run as functions in TensorFlow V2. There will be an entry below for each function that is traced. The main use cases of the post_optimization_graph and the partition_graphs is to give the caller insight into the graphs that were actually run by the runtime. Additional information (such as those in step_stats) will match these graphs. We also include the pre_optimization_graph since it is usually easier to read, and is helpful in situations where the caller wants to get a high level idea of what the built graph looks like (since the various graph optimization passes might change the structure of the graph significantly).
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;
общественный getParserForType ()
public GraphDef getPartitionGraphs (индекс int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
public int getPartitionGraphsCount ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
общедоступный список < GraphDef > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
public GraphDefOrBuilder getPartitionGraphsOrBuilder (индекс int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
общедоступный список<? расширяет GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
public int getSerializedSize ()
общедоступная StepStats getStepStats ()
Statistics traced for this step. Populated if tracing is turned on via the "RunOptions" proto. EXPERIMENTAL: The format and set of events may change in future versions.
.tensorflow.StepStats step_stats = 1;
общедоступный StepStatsOrBuilder getStepStatsOrBuilder ()
Statistics traced for this step. Populated if tracing is turned on via the "RunOptions" proto. EXPERIMENTAL: The format and set of events may change in future versions.
.tensorflow.StepStats step_stats = 1;
публичный финал com.google.protobuf.UnknownFieldSet getUnknownFields ()
общедоступное логическое значение hasCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
общедоступное логическое значение hasStepStats ()
Statistics traced for this step. Populated if tracing is turned on via the "RunOptions" proto. EXPERIMENTAL: The format and set of events may change in future versions.
.tensorflow.StepStats step_stats = 1;
public int hashCode ()
публичное окончательное логическое значение isInitialized ()
общедоступный статический RunMetadata parseDelimitedFrom (входной поток InputStream)
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public static RunMetadata parseDelimitedFrom (ввод InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
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общедоступный статический анализ RunMetadata (данные ByteBuffer)
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общедоступный статический анализ RunMetadata (вход com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
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общедоступный статический анализ RunMetadata (данные ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
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общедоступный статический анализ RunMetadata (вход com.google.protobuf.CodedInputStream)
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общедоступный статический анализ RunMetadata (байтовые данные [], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
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общедоступный статический анализ RunMetadata (данные com.google.protobuf.ByteString)
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общедоступный статический анализ RunMetadata (вход InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
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общедоступный статический анализ RunMetadata (данные com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
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общественный статический парсер ()
public void writeTo (вывод com.google.protobuf.CodedOutputStream)
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