الواجهة العامة RunMetadataOrBuilder
| الفئات الفرعية غير المباشرة المعروفة |
الأساليب العامة
| ملخص CostGraphDef | الحصول على التكلفةالرسم البياني () The cost graph for the computation defined by the run call. |
| مجردة CostGraphDefOrBuilder | getCostGraphOrBuilder () The cost graph for the computation defined by the run call. |
| ملخص RunMetadata.FunctionGraphs | getFunctionGraphs (فهرس كثافة العمليات) This is only populated for graphs that are run as functions in TensorFlow V2. |
| كثافة العمليات مجردة | getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
| قائمة مجردة< RunMetadata.FunctionGraphs > | قائمة getFunctionGraphs () This is only populated for graphs that are run as functions in TensorFlow V2. |
| مجردة RunMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (فهرس كثافة العمليات) This is only populated for graphs that are run as functions in TensorFlow V2. |
| قائمة مجردة <؟ يمتد RunMetadata.FunctionGraphsOrBuilder > | getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
| GraphDef مجردة | getPartitionGraphs (فهرس كثافة العمليات) Graphs of the partitions executed by executors. |
| كثافة العمليات مجردة | الحصول علىPartitionGraphsCount () Graphs of the partitions executed by executors. |
| قائمة مجردة <GraphDef> | قائمة getPartitionGraphs () Graphs of the partitions executed by executors. |
| مجردة GraphDefOrBuilder | getPartitionGraphsOrBuilder (فهرس كثافة العمليات) Graphs of the partitions executed by executors. |
| قائمة مجردة <؟ يمتد GraphDefOrBuilder > | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
| إحصائيات الخطوات المجردة | الحصول على ستيبستاتس () Statistics traced for this step. |
| مجردة StepStatsOrBuilder | getStepStatsOrBuilder () Statistics traced for this step. |
| منطقية مجردة | hasCostGraph () The cost graph for the computation defined by the run call. |
| منطقية مجردة | هاستيبستاتس () Statistics traced for this step. |
الأساليب العامة
الملخص العام CostGraphDef getCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; الملخص العام CostGraphDefOrBuilder getCostGraphOrBuilder ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; الملخص العام RunMetadata.FunctionGraphs getFunctionGraphs (مؤشر 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; الملخص العام 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; قائمة مجردة عامة < 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; الملخص العام RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (فهرس كثافة العمليات)
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; قائمة الملخصات العامة<؟ يمتد 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; الملخص العام GraphDef getPartitionGraphs (مؤشر int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; الملخص العام int getPartitionGraphsCount ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; قائمة مجردة عامة< GraphDef > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; الملخص العام GraphDefOrBuilder getPartitionGraphsOrBuilder (مؤشر int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; قائمة الملخصات العامة<؟ يمتد GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; الملخص العام 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; الملخص العام 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; الملخص المنطقي العام hasCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; الملخص المنطقي العام 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;