interfaz pública RunMetadataOrBuilder
| Subclases indirectas conocidas |
Métodos públicos
| CostGraphDef abstracto | getCostGraph () The cost graph for the computation defined by the run call. |
| CostGraphDefOrBuilder abstracto | getCostGraphOrBuilder () The cost graph for the computation defined by the run call. |
| resumen RunMetadata.FunctionGraphs | getFunctionGraphs (índice int) This is only populated for graphs that are run as functions in TensorFlow V2. |
| int abstracto | getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
| Lista abstracta < RunMetadata.FunctionGraphs > | getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2. |
| resumen RunMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (índice int) This is only populated for graphs that are run as functions in TensorFlow V2. |
| Resumen Lista <? extiende RunMetadata.FunctionGraphsOrBuilder > | getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
| GraphDef abstracto | getPartitionGraphs (índice int) Graphs of the partitions executed by executors. |
| int abstracto | getPartitionGraphsCount () Graphs of the partitions executed by executors. |
| Lista abstracta < GraphDef > | getPartitionGraphsList () Graphs of the partitions executed by executors. |
| GraphDefOrBuilder abstracto | getPartitionGraphsOrBuilder (índice int) Graphs of the partitions executed by executors. |
| Resumen Lista <? extiende GraphDefOrBuilder > | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
| StepStats abstractos | getStepStats () Statistics traced for this step. |
| StepStatsOrBuilder abstracto | getStepStatsOrBuilder () Statistics traced for this step. |
| booleano abstracto | hasCostGraph () The cost graph for the computation defined by the run call. |
| booleano abstracto | hasStepStats () Statistics traced for this step. |
Métodos públicos
Public abstract CostGraphDef getCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;Public abstract CostGraphDefOrBuilder getCostGraphOrBuilder ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;public abstract RunMetadata.FunctionGraphs getFunctionGraphs (índice 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)..tensorflow.RunMetadata.FunctionGraphs
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;public abstract 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)..tensorflow.RunMetadata.FunctionGraphs
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;Lista pública abstracta < 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)..tensorflow.RunMetadata.FunctionGraphs
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;resumen público RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (índice 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)..tensorflow.RunMetadata.FunctionGraphs
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;Lista de resumen público <? extiende 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)..tensorflow.RunMetadata.FunctionGraphs
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;GraphDef abstracto público getPartitionGraphs (índice int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;public abstract int getPartitionGraphsCount ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;Lista pública abstracta < GraphDef > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;GraphDefOrBuilder abstracto público getPartitionGraphsOrBuilder (índice int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;Lista de resumen público <? extiende GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;StepStats abstractos públicos 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;Resumen público 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;público abstracto booleano hasCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;hasStepStats () booleano abstracto público
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;