publiczna klasa końcowa RunMetadata
Metadata output (i.e., non-Tensor) for a single Run() call.
tensorflow.RunMetadata
Klasy zagnieżdżone
klasa | UruchomMetadata.Builder | Metadata output (i.e., non-Tensor) for a single Run() call. | |
klasa | RunMetadata.FunctionGraphs | Protobuf typu tensorflow.RunMetadata.FunctionGraphs | |
interfejs | RunMetadata.FunctionGraphsOrBuilder |
Stałe
wew | COST_GRAPH_FIELD_NUMBER | |
wew | FUNCTION_GRAPHS_FIELD_NUMBER | |
wew | PARTITION_GRAPHS_FIELD_NUMBER | |
wew | STEP_STATS_FIELD_NUMBER |
Metody publiczne
wartość logiczna | równa się (obiekt obiektu) |
Wykres kosztówDef | pobierzWykresKosztów () The cost graph for the computation defined by the run call. |
CostGraphDefOrBuilder | getCostGraphOrBuilder () The cost graph for the computation defined by the run call. |
statyczne dane RunMetadata | |
UruchomMetadane | |
końcowy statyczny com.google.protobuf.Descriptors.Descriptor | |
RunMetadata.FunctionGraphs | getFunctionGraphs (indeks int) This is only populated for graphs that are run as functions in TensorFlow V2. |
wew | getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
Lista< RunMetadata.FunctionGraphs > | getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2. |
RunMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (indeks int) This is only populated for graphs that are run as functions in TensorFlow V2. |
Lista<? rozszerza RunMetadata.FunctionGraphsOrBuilder > | getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
WykresDef | getPartitionGraphs (indeks int) Graphs of the partitions executed by executors. |
wew | getPartitionGraphsCount () Graphs of the partitions executed by executors. |
Lista <GraphDef> | getPartitionGraphsList () Graphs of the partitions executed by executors. |
GraphDefOrBuilder | getPartitionGraphsOrBuilder (indeks int) Graphs of the partitions executed by executors. |
Lista<? rozszerza GraphDefOrBuilder > | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
wew | |
Statystyki kroków | pobierz statystyki kroków () Statistics traced for this step. |
StepStatsOrBuilder | getStepStatsOrBuilder () Statistics traced for this step. |
końcowy com.google.protobuf.UnknownFieldSet | |
wartość logiczna | maWykresKosztów () The cost graph for the computation defined by the run call. |
wartość logiczna | maStepStats () Statistics traced for this step. |
wew | hashCode () |
końcowa wartość logiczna | |
statyczny RunMetadata.Builder | newBuilder (prototyp RunMetadata ) |
statyczny RunMetadata.Builder | nowyBuilder () |
UruchomMetadata.Builder | |
statyczne dane RunMetadata | parseDelimitedFrom (wejście strumienia wejściowego) |
statyczne dane RunMetadata | parseDelimitedFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
statyczne dane RunMetadata | parseFrom (dane ByteBuffer) |
statyczne dane RunMetadata | parseFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
statyczne dane RunMetadata | parseFrom (dane ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
statyczne dane RunMetadata | parseFrom (wejście com.google.protobuf.CodedInputStream) |
statyczne dane RunMetadata | parseFrom (bajt [] dane, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry) |
statyczne dane RunMetadata | parseFrom (dane com.google.protobuf.ByteString) |
statyczne dane RunMetadata | parseFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
statyczne dane RunMetadata | parseFrom (dane com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
statyczny | parser () |
UruchomMetadata.Builder | |
próżnia | writeTo (wyjście com.google.protobuf.CodedOutputStream) |
Metody dziedziczone
Stałe
publiczny statyczny końcowy int COST_GRAPH_FIELD_NUMBER
Wartość stała: 2
publiczny statyczny końcowy int FUNCTION_GRAPHS_FIELD_NUMBER
Wartość stała: 4
publiczny statyczny końcowy int PARTITION_GRAPHS_FIELD_NUMBER
Wartość stała: 3
publiczny statyczny końcowy int STEP_STATS_FIELD_NUMBER
Wartość stała: 1
Metody publiczne
publiczna wartość logiczna równa się (obiekt obiektu)
public CostGraphDef getCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
public CostGraphDefOrBuilder getCostGraphOrBuilder ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public RunMetadata.FunctionGraphs getFunctionGraphs (indeks 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;
public 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;
public List< 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;
public RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (indeks 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;
lista publiczna<? rozszerza 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;
publiczny getParserForType ()
public GraphDef getPartitionGraphs (indeks int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
public int getPartitionGraphsCount ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
public List< GraphDef > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
public GraphDefOrBuilder getPartitionGraphsOrBuilder (indeks int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
lista publiczna<? rozszerza GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
publiczny int getSerializedSize ()
publiczne 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;
public 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;
publiczny finał com.google.protobuf.UnknownFieldSet getUnknownFields ()
publiczna wartość logiczna hasCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
publiczna wartość logiczna 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;
publiczny int hashCode ()
publiczna końcowa wartość logiczna isInitialized ()
public static RunMetadata parseDelimitedFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Rzuca
Wyjątek IO |
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public static RunMetadata parseFrom (dane ByteBuffer)
Rzuca
Nieprawidłowy wyjątekProtocolBufferException |
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public static RunMetadata parseFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Rzuca
Wyjątek IO |
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public static RunMetadata parseFrom (dane ByteBuffer, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)
Rzuca
Nieprawidłowy wyjątekProtocolBufferException |
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publiczny statyczny RunMetadata parseFrom (wejście com.google.protobuf.CodedInputStream)
Rzuca
Wyjątek IO |
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publiczny statyczny RunMetadata parseFrom (bajt [] dane, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)
Rzuca
Nieprawidłowy wyjątekProtocolBufferException |
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publiczny statyczny RunMetadata parseFrom (dane com.google.protobuf.ByteString)
Rzuca
Nieprawidłowy wyjątekProtocolBufferException |
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public static RunMetadata parseFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)
Rzuca
Wyjątek IO |
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public static RunMetadata parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Rzuca
Nieprawidłowy wyjątekProtocolBufferException |
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publiczna statyka parser ()
public void writeTo (wyjście com.google.protobuf.CodedOutputStream)
Rzuca
Wyjątek IO |
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