सार्वजनिक अंतिम वर्ग RunMetadata
Metadata output (i.e., non-Tensor) for a single Run() call.प्रोटोबफ़ प्रकार
tensorflow.RunMetadata नेस्टेड क्लासेस
| कक्षा | रनमेटाडाटा.बिल्डर | Metadata output (i.e., non-Tensor) for a single Run() call. | |
| कक्षा | RunMetadata.FunctionGraphs | प्रोटोबफ़ प्रकार tensorflow.RunMetadata.FunctionGraphs | |
| इंटरफेस | RunMetadata.FunctionGraphsOrBuilder | ||
स्थिरांक
| int यहाँ | COST_GRAPH_FIELD_NUMBER | |
| int यहाँ | FUNCTION_GRAPHS_FIELD_NUMBER | |
| int यहाँ | PARTITION_GRAPHS_FIELD_NUMBER | |
| int यहाँ | STEP_STATS_FIELD_NUMBER |
सार्वजनिक तरीके
| बूलियन | बराबर (वस्तु obj) |
| कॉस्टग्राफडिफ़ | getCostGraph () The cost graph for the computation defined by the run call. |
| कॉस्टग्राफडिफऑरबिल्डर | getCostGraphOrBuilder () The cost graph for the computation defined by the run call. |
| स्थिर रनमेटाडेटा | |
| रनमेटाडेटा | |
| अंतिम स्थिर com.google.protobuf.Descriptors.Descriptor | |
| RunMetadata.FunctionGraphs | getFunctionGraphs (int अनुक्रमणिका) This is only populated for graphs that are run as functions in TensorFlow V2. |
| int यहाँ | getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
| सूची < RunMetadata.FunctionGraphs > | getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2. |
| RunMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (इंट इंडेक्स) This is only populated for graphs that are run as functions in TensorFlow V2. |
| सूची<? RunMetadata.FunctionGraphsOrBuilder > का विस्तार करता है | getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
| ग्राफ़डेफ़ | getPartitionGraphs (int अनुक्रमणिका) Graphs of the partitions executed by executors. |
| int यहाँ | GetPartitionGraphsCount () Graphs of the partitions executed by executors. |
| सूची < ग्राफ़डेफ़ > | getPartitionGraphsList () Graphs of the partitions executed by executors. |
| ग्राफ़डेफ़ऑरबिल्डर | getPartitionGraphsOrBuilder (इंट इंडेक्स) Graphs of the partitions executed by executors. |
| सूची<? GraphDefOrBuilder > का विस्तार करता है | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
| int यहाँ | |
| स्टेपस्टैट्स | getStepStats () Statistics traced for this step. |
| स्टेपस्टैट्सऑरबिल्डर | getStepStatsOrBuilder () Statistics traced for this step. |
| अंतिम com.google.protobuf.UnknownFieldSet | |
| बूलियन | हैकॉस्टग्राफ () The cost graph for the computation defined by the run call. |
| बूलियन | हैस्टेपस्टैट्स () Statistics traced for this step. |
| int यहाँ | हैश कोड () |
| अंतिम बूलियन | |
| स्थिर RunMetadata.Builder | न्यूबिल्डर ( रनमेटाडेटा प्रोटोटाइप) |
| स्थिर RunMetadata.Builder | नयाबिल्डर () |
| रनमेटाडाटा.बिल्डर | |
| स्थिर रनमेटाडेटा | parseDelimitedFrom (इनपुटस्ट्रीम इनपुट) |
| स्थिर रनमेटाडेटा | parseDelimitedFrom (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री) |
| स्थिर रनमेटाडेटा | पार्सफ्रॉम (बाइटबफ़र डेटा) |
| स्थिर रनमेटाडेटा | parseFrom (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री) |
| स्थिर रनमेटाडेटा | पार्सफ्रॉम (बाइटबफ़र डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री) |
| स्थिर रनमेटाडेटा | parseFrom (com.google.protobuf.CodedInputStream इनपुट) |
| स्थिर रनमेटाडेटा | पार्सफ्रॉम (बाइट[] डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री) |
| स्थिर रनमेटाडेटा | parseFrom (com.google.protobuf.ByteString डेटा) |
| स्थिर रनमेटाडेटा | पार्सफ्रॉम (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री) |
| स्थिर रनमेटाडेटा | parseFrom (com.google.protobuf.ByteString डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री) |
| स्थिर | पार्सर () |
| रनमेटाडाटा.बिल्डर | टूबिल्डर () |
| खालीपन | राइटटू (com.google.protobuf.CodedOutputStream आउटपुट) |
विरासत में मिली विधियाँ
स्थिरांक
सार्वजनिक स्थैतिक अंतिम पूर्णांक COST_GRAPH_FIELD_NUMBER
स्थिर मान: 2
सार्वजनिक स्थैतिक अंतिम पूर्णांक FUNCTION_GRAPHS_FIELD_NUMBER
स्थिर मान: 4
सार्वजनिक स्थैतिक अंतिम पूर्णांक PARTITION_GRAPHS_FIELD_NUMBER
स्थिर मान: 3
सार्वजनिक स्थैतिक अंतिम पूर्णांक STEP_STATS_FIELD_NUMBER
स्थिर मान: 1
सार्वजनिक तरीके
सार्वजनिक बूलियन बराबर (ऑब्जेक्ट obj)
सार्वजनिक कॉस्टग्राफडिफ गेटकॉस्टग्राफ ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; सार्वजनिक कॉस्टग्राफडिफऑरबिल्डर गेटकॉस्टग्राफऑरबिल्डर ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; सार्वजनिक स्थैतिक अंतिम com.google.protobuf.Descriptors.Descriptor getDescriptor ()
सार्वजनिक 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 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 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 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 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; जनता
सार्वजनिक ग्राफ़डेफ़ getPartitionGraphs (इंट इंडेक्स)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; सार्वजनिक पूर्णांक getPartitionGraphsCount ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; सार्वजनिक सूची < ग्राफ़डिफ़ > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; सार्वजनिक GraphDefOrBuilder getPartitionGraphsOrBuilder (int अनुक्रमणिका)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; सार्वजनिक सूची<? GraphDefOrBuilder > getPartitionGraphsOrBuilderList () का विस्तार करता है
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3; सार्वजनिक int getSerializedSize ()
सार्वजनिक 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 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 अंतिम com.google.protobuf.UnknownFieldSet getUnknownFields ()
सार्वजनिक बूलियन hasCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2; सार्वजनिक 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; सार्वजनिक पूर्णांक हैशकोड ()
सार्वजनिक अंतिम बूलियन आरंभीकृत है ()
सार्वजनिक स्थैतिक RunMetadata parseDelimitedFrom (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
फेंकता
| आईओ अपवाद |
|---|
सार्वजनिक स्थैतिक रनमेटाडेटा पार्सफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
फेंकता
| आईओ अपवाद |
|---|
सार्वजनिक स्थैतिक रनमेटाडेटा पार्सफ्रॉम (बाइटबफ़र डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
फेंकता
| अमान्यप्रोटोकॉलबफ़रएक्सेप्शन |
|---|
सार्वजनिक स्थैतिक RunMetadata parseFrom (com.google.protobuf.CodedInputStream इनपुट)
फेंकता
| आईओ अपवाद |
|---|
सार्वजनिक स्थैतिक रनमेटाडेटा पार्सफ्रॉम (बाइट[] डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
फेंकता
| अमान्यप्रोटोकॉलबफ़रएक्सेप्शन |
|---|
सार्वजनिक स्थैतिक RunMetadata parseFrom (com.google.protobuf.ByteString डेटा)
फेंकता
| अमान्यप्रोटोकॉलबफ़रएक्सेप्शन |
|---|
सार्वजनिक स्थैतिक रनमेटाडेटा पार्सफ्रॉम (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
फेंकता
| आईओ अपवाद |
|---|
सार्वजनिक स्थैतिक रनमेटाडेटा पार्सफ्रॉम (com.google.protobuf.ByteString डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
फेंकता
| अमान्यप्रोटोकॉलबफ़रएक्सेप्शन |
|---|
सार्वजनिक स्थैतिक
सार्वजनिक शून्य राइटटू (com.google.protobuf.CodedOutputStream आउटपुट)
फेंकता
| आईओ अपवाद |
|---|