genel arayüz RunMetadataOrBuilder
| Bilinen Dolaylı Alt Sınıflar |
Genel Yöntemler
| özet CostGraphDef | getCostGraph () The cost graph for the computation defined by the run call. |
| özet CostGraphDefOrBuilder | getCostGraphOrBuilder () The cost graph for the computation defined by the run call. |
| özet RunMetadata.FunctionGraphs | getFunctionGraphs (int dizini) This is only populated for graphs that are run as functions in TensorFlow V2. |
| soyut int | getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
| özet Listesi< RunMetadata.FunctionGraphs > | getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2. |
| soyut RunMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (int dizini) This is only populated for graphs that are run as functions in TensorFlow V2. |
| özet Liste<? RunMetadata.FunctionGraphsOrBuilder'ı genişletir > | getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
| soyut GrafikDef | getPartitionGraphs (int dizini) Graphs of the partitions executed by executors. |
| soyut int | getPartitionGraphsCount () Graphs of the partitions executed by executors. |
| özet Listesi< GraphDef > | getPartitionGraphsList () Graphs of the partitions executed by executors. |
| soyut GraphDefOrBuilder | getPartitionGraphsOrBuilder (int dizini) Graphs of the partitions executed by executors. |
| özet Liste<? GraphDefOrBuilder'ı genişletiyor > | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
| özet StepStats | getStepStats () Statistics traced for this step. |
| özet StepStatsOrBuilder | getStepStatsOrBuilder () Statistics traced for this step. |
| soyut boole | hasCostGraph () The cost graph for the computation defined by the run call. |
| soyut boole | hasStepStats () Statistics traced for this step. |
Genel Yöntemler
genel özet CostGraphDef getCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; genel özet CostGraphDefOrBuilder getCostGraphOrBuilder ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; genel özet RunMetadata.FunctionGraphs getFunctionGraphs (int indeksi)
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; genel soyut 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; genel özet Listesi< 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; genel özet RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (int dizini)
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; genel özet listesi<? RunMetadata.FunctionGraphsOrBuilder > getFunctionGraphsOrBuilderList () öğesini genişletir
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; genel özet GraphDef getPartitionGraphs (int dizini)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; genel özet int getPartitionGraphsCount ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; genel özet Listesi< GraphDef > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; genel özet GraphDefOrBuilder getPartitionGraphsOrBuilder (int dizini)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; genel özet listesi<? GraphDefOrBuilder'ı genişletir > getPartitionGraphsOrBuilderList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; genel özet 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; genel özet 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; genel soyut boolean hasCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; genel soyut boolean 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;