सार्वजनिक इंटरफ़ेस RunMetadataOrBuilder
| ज्ञात अप्रत्यक्ष उपवर्ग |
सार्वजनिक तरीके
| सार कॉस्टग्राफडिफ़ | getCostGraph () The cost graph for the computation defined by the run call. |
| सार कॉस्टग्राफडिफऑरबिल्डर | getCostGraphOrBuilder () The cost graph for the computation defined by the run call. |
| सार RunMetadata.FunctionGraphs | getFunctionGraphs (int अनुक्रमणिका) This is only populated for graphs that are run as functions in TensorFlow V2. |
| सार इंट | getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
| सार सूची < RunMetadata.FunctionGraphs > | getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2. |
| सार RunMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (इंट इंडेक्स) This is only populated for graphs that are run as functions in TensorFlow V2. |
| सार सूची<? RunMetadata.FunctionGraphsOrBuilder > का विस्तार करता है | getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
| सार ग्राफडेफ़ | getPartitionGraphs (int अनुक्रमणिका) Graphs of the partitions executed by executors. |
| सार इंट | GetPartitionGraphsCount () Graphs of the partitions executed by executors. |
| सार सूची < ग्राफ़डेफ़ > | getPartitionGraphsList () Graphs of the partitions executed by executors. |
| सार GraphDefOrBuilder | getPartitionGraphsOrBuilder (इंट इंडेक्स) Graphs of the partitions executed by executors. |
| सार सूची<? GraphDefOrBuilder > का विस्तार करता है | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
| सार स्टेपस्टैट्स | getStepStats () Statistics traced for this step. |
| सार स्टेपस्टैट्सऑरबिल्डर | getStepStatsOrBuilder () Statistics traced for this step. |
| अमूर्त बूलियन | हैकॉस्टग्राफ () The cost graph for the computation defined by the run call. |
| अमूर्त बूलियन | हैस्टेपस्टैट्स () Statistics traced for this step. |
सार्वजनिक तरीके
सार्वजनिक सार कॉस्टग्राफडिफ गेटकॉस्टग्राफ ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; सार्वजनिक सार कॉस्टग्राफडिफऑरबिल्डर गेटकॉस्टग्राफऑरबिल्डर ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; सार्वजनिक सार RunMetadata.FunctionGraphs getFunctionGraphs (int अनुक्रमणिका)
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; सार्वजनिक सार 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; सार्वजनिक सार सूची < 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; सार्वजनिक सार RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (int अनुक्रमणिका)
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; सार्वजनिक सार सूची<? RunMetadata.FunctionGraphsOrBuilder > getFunctionGraphsOrBuilderList () का विस्तार करता है
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; सार्वजनिक सार ग्राफ़डेफ़ getPartitionGraphs (इंट इंडेक्स)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; सार्वजनिक सार int getPartitionGraphsCount ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; सार्वजनिक सार सूची < ग्राफडिफ > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; सार्वजनिक सार GraphDefOrBuilder getPartitionGraphsOrBuilder (int अनुक्रमणिका)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; सार्वजनिक सार सूची<? GraphDefOrBuilder > getPartitionGraphsOrBuilderList () का विस्तार करता है
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; सार्वजनिक सार स्टेपस्टैट्स 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; सार्वजनिक सार स्टेपस्टैट्सऑरबिल्डर 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; सार्वजनिक सार बूलियन hasCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; सार्वजनिक सार बूलियन 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;