giao diện công cộng RunMetadataOrBuilder
| Các lớp con gián tiếp đã biết |
Phương pháp công cộng
| trừu tượng CostGraphDef | getCostGraph () The cost graph for the computation defined by the run call. |
| tóm tắt CostGraphDefOrBuilder | getCostGraphOrBuilder () The cost graph for the computation defined by the run call. |
| trừu tượng RunMetadata.FunctionGraphs | getFunctionGraphs (chỉ mục int) This is only populated for graphs that are run as functions in TensorFlow V2. |
| int trừu tượng | getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
| Danh sách trừu tượng< RunMetadata.FunctionGraphs > | getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2. |
| trừu tượng RunMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (chỉ mục int) This is only populated for graphs that are run as functions in TensorFlow V2. |
| Danh sách trừu tượng<? mở rộng RunMetadata.FunctionGraphsOrBuilder > | getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
| GraphDef trừu tượng | getPartitionGraphs (chỉ mục int) Graphs of the partitions executed by executors. |
| int trừu tượng | getPartitionGraphsCount () Graphs of the partitions executed by executors. |
| Danh sách trừu tượng< GraphDef > | getPartitionGraphsList () Graphs of the partitions executed by executors. |
| trừu tượng GraphDefOrBuilder | getPartitionGraphsOrBuilder (chỉ mục int) Graphs of the partitions executed by executors. |
| Danh sách trừu tượng<? mở rộng GraphDefOrBuilder > | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
| StepStats trừu tượng | getStepStats () Statistics traced for this step. |
| trừu tượng StepStatsOrBuilder | getStepStatsOrBuilder () Statistics traced for this step. |
| trừu tượng boolean | hasCostGraph () The cost graph for the computation defined by the run call. |
| trừu tượng boolean | hasStepStats () Statistics traced for this step. |
Phương pháp công cộng
tóm tắt công khai CostGraphDef getCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; tóm tắt công khai CostGraphDefOrBuilder getCostGraphOrBuilder ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; tóm tắt công khai RunMetadata.FunctionGraphs getFunctionGraphs (chỉ mục 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; tóm tắt công khai 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; Danh sách tóm tắt công khai< 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; tóm tắt công khai RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (chỉ mục 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; Danh sách tóm tắt công khai<? mở rộng 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; tóm tắt công khai GraphDef getPartitionGraphs (chỉ mục int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; tóm tắt công khai int getPartitionGraphsCount ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; Danh sách tóm tắt công khai< GraphDef > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; tóm tắt công khai GraphDefOrBuilder getPartitionGraphsOrBuilder (chỉ mục int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; Danh sách tóm tắt công khai<? mở rộng GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; Tóm tắt công khai 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; tóm tắt công khai 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; boolean trừu tượng công khai hasCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; boolean trừu tượng công khai 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; giao diện công cộng RunMetadataOrBuilder
| Các lớp con gián tiếp đã biết |
Phương pháp công cộng
| trừu tượng CostGraphDef | getCostGraph () The cost graph for the computation defined by the run call. |
| trừu tượng CostGraphDefOrBuilder | getCostGraphOrBuilder () The cost graph for the computation defined by the run call. |
| trừu tượng RunMetadata.FunctionGraphs | getFunctionGraphs (chỉ mục int) This is only populated for graphs that are run as functions in TensorFlow V2. |
| int trừu tượng | getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
| Danh sách trừu tượng< RunMetadata.FunctionGraphs > | getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2. |
| trừu tượng RunMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (chỉ mục int) This is only populated for graphs that are run as functions in TensorFlow V2. |
| Danh sách trừu tượng<? mở rộng RunMetadata.FunctionGraphsOrBuilder > | getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
| GraphDef trừu tượng | getPartitionGraphs (chỉ mục int) Graphs of the partitions executed by executors. |
| int trừu tượng | getPartitionGraphsCount () Graphs of the partitions executed by executors. |
| Danh sách trừu tượng< GraphDef > | getPartitionGraphsList () Graphs of the partitions executed by executors. |
| trừu tượng GraphDefOrBuilder | getPartitionGraphsOrBuilder (chỉ mục int) Graphs of the partitions executed by executors. |
| Danh sách trừu tượng<? mở rộng GraphDefOrBuilder > | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
| StepStats trừu tượng | getStepStats () Statistics traced for this step. |
| trừu tượng StepStatsOrBuilder | getStepStatsOrBuilder () Statistics traced for this step. |
| trừu tượng boolean | hasCostGraph () The cost graph for the computation defined by the run call. |
| trừu tượng boolean | hasStepStats () Statistics traced for this step. |
Phương pháp công cộng
tóm tắt công khai CostGraphDef getCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; tóm tắt công khai CostGraphDefOrBuilder getCostGraphOrBuilder ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; tóm tắt công khai RunMetadata.FunctionGraphs getFunctionGraphs (chỉ mục 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; tóm tắt công khai 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; Danh sách tóm tắt công khai< 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; tóm tắt công khai RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (chỉ mục 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; Danh sách tóm tắt công khai<? mở rộng 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; tóm tắt công khai GraphDef getPartitionGraphs (chỉ mục int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; tóm tắt công khai int getPartitionGraphsCount ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; Danh sách tóm tắt công khai< GraphDef > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; tóm tắt công khai GraphDefOrBuilder getPartitionGraphsOrBuilder (chỉ mục int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; Danh sách tóm tắt công khai<? mở rộng GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; Tóm tắt công khai 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; tóm tắt công khai 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; boolean trừu tượng công khai hasCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; boolean trừu tượng công khai 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;