classe finale pubblica RunMetadata
Metadata output (i.e., non-Tensor) for a single Run() call.
tensorflow.RunMetadata
Classi nidificate
classe | RunMetadata.Builder | Metadata output (i.e., non-Tensor) for a single Run() call. | |
classe | RunMetadata.FunctionGraphs | Tipo di protocollo tensorflow.RunMetadata.FunctionGraphs | |
interfaccia | RunMetadata.FunctionGraphsOrBuilder |
Costanti
int | COST_GRAPH_FIELD_NUMBER | |
int | FUNCTION_GRAPHS_FIELD_NUMBER | |
int | PARTITION_GRAPHS_FIELD_NUMBER | |
int | STEP_STATS_FIELD_NUMBER |
Metodi pubblici
booleano | è uguale a (Oggetto oggetto) |
CostoGraphDef | getGraficoCosti () The cost graph for the computation defined by the run call. |
CostGraphDefOrBuilder | getCostGraphOrBuilder () The cost graph for the computation defined by the run call. |
RunMetadata statico | |
RunMetadata | |
com.google.protobuf.Descriptors.Descriptor statico finale | |
RunMetadata.FunctionGraphs | getFunctionGraphs (indice int) This is only populated for graphs that are run as functions in TensorFlow V2. |
int | getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
Elenco< RunMetadata.FunctionGraphs > | getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2. |
RunMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (indice int) This is only populated for graphs that are run as functions in TensorFlow V2. |
Elenco<? estende RunMetadata.FunctionGraphsOrBuilder > | getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
GraficoDef | getPartitionGraphs (indice int) Graphs of the partitions executed by executors. |
int | getPartitionGraphsCount () Graphs of the partitions executed by executors. |
Elenco <GraphDef> | getPartitionGraphsList () Graphs of the partitions executed by executors. |
GraphDefOrBuilder | getPartitionGraphsOrBuilder (indice int) Graphs of the partitions executed by executors. |
Elenco<? estende GraphDefOrBuilder > | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
int | |
StepStats | getStepStats () Statistics traced for this step. |
StepStatsOrBuilder | getStepStatsOrBuilder () Statistics traced for this step. |
finale com.google.protobuf.UnknownFieldSet | |
booleano | hasCostGraph () The cost graph for the computation defined by the run call. |
booleano | hasStepStats () Statistics traced for this step. |
int | codicehash () |
booleano finale | |
RunMetadata.Builder statico | newBuilder (prototipo RunMetadata ) |
RunMetadata.Builder statico | |
RunMetadata.Builder | |
RunMetadata statico | parseDelimitedFrom (input InputStream) |
RunMetadata statico | parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata statico | parseFrom (dati ByteBuffer) |
RunMetadata statico | parseFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry) |
RunMetadata statico | parseFrom (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata statico | parseFrom (ingresso com.google.protobuf.CodedInputStream) |
RunMetadata statico | parseFrom (byte[] dati, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata statico | parseFrom (dati com.google.protobuf.ByteString) |
RunMetadata statico | parseFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata statico | parseFrom (dati com.google.protobuf.ByteString, estensione com.google.protobuf.ExtensionRegistryLiteRegistry) |
statico | analizzatore () |
RunMetadata.Builder | toBuilder () |
vuoto | writeTo (output com.google.protobuf.CodedOutputStream) |
Metodi ereditati
Costanti
pubblico statico finale int COST_GRAPH_FIELD_NUMBER
Valore costante: 2
public static final int FUNCTION_GRAPHS_FIELD_NUMBER
Valore costante: 4
public static final int PARTITION_GRAPHS_FIELD_NUMBER
Valore costante: 3
public static final int STEP_STATS_FIELD_NUMBER
Valore costante: 1
Metodi pubblici
booleano pubblico è uguale a (Oggetto obj)
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 (indice 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;
Elenco pubblico < 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 (indice 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;
Elenco pubblico<? estende 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;
pubblico getParserForType ()
public GraphDef getPartitionGraphs (indice 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;
Elenco pubblico < GraphDef > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
public GraphDefOrBuilder getPartitionGraphsOrBuilder (indice int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
Elenco pubblico<? estende GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
public int getSerializedSize ()
public 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;
pubblico finale com.google.protobuf.UnknownFieldSet getUnknownFields ()
pubblico booleano hasCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
hasStepStats booleano pubblico ()
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 int hashCode ()
public final booleano isInitialized ()
public static RunMetadata parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lancia
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parseFrom RunMetadata statico pubblico (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
Lancia
IOException |
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parseFrom pubblico statico RunMetadata (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lancia
InvalidProtocolBufferException |
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parseFrom RunMetadata statico pubblico (input com.google.protobuf.CodedInputStream)
Lancia
IOException |
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public static RunMetadata parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lancia
InvalidProtocolBufferException |
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parseFrom RunMetadata statico pubblico (dati com.google.protobuf.ByteString)
Lancia
InvalidProtocolBufferException |
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parseFrom pubblico statico RunMetadata (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lancia
IOException |
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parseFrom pubblico statico RunMetadata (dati com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lancia
InvalidProtocolBufferException |
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pubblico statico analizzatore ()
public void writeTo (output com.google.protobuf.CodedOutputStream)
Lancia
IOException |
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