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RunMetadata

public final class RunMetadata

 Metadata output (i.e., non-Tensor) for a single Run() call.
 
Protobuf type tensorflow.RunMetadata

Nested Classes

class RunMetadata.Builder
 Metadata output (i.e., non-Tensor) for a single Run() call. 
class RunMetadata.FunctionGraphs Protobuf type tensorflow.RunMetadata.FunctionGraphs
interface RunMetadata.FunctionGraphsOrBuilder

Constants

int COST_GRAPH_FIELD_NUMBER
int FUNCTION_GRAPHS_FIELD_NUMBER
int PARTITION_GRAPHS_FIELD_NUMBER
int STEP_STATS_FIELD_NUMBER

Public Methods

boolean
equals (Object obj)
CostGraphDef
getCostGraph ()
 The cost graph for the computation defined by the run call.
CostGraphDefOrBuilder
getCostGraphOrBuilder ()
 The cost graph for the computation defined by the run call.
static RunMetadata
RunMetadata
final static com.google.protobuf.Descriptors.Descriptor
RunMetadata.FunctionGraphs
getFunctionGraphs (int index)
 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.
List< RunMetadata.FunctionGraphs >
getFunctionGraphsList ()
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
RunMetadata.FunctionGraphsOrBuilder
getFunctionGraphsOrBuilder (int index)
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
List<? extends RunMetadata.FunctionGraphsOrBuilder >
getFunctionGraphsOrBuilderList ()
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
GraphDef
getPartitionGraphs (int index)
 Graphs of the partitions executed by executors.
int
getPartitionGraphsCount ()
 Graphs of the partitions executed by executors.
List< GraphDef >
getPartitionGraphsList ()
 Graphs of the partitions executed by executors.
GraphDefOrBuilder
getPartitionGraphsOrBuilder (int index)
 Graphs of the partitions executed by executors.
List<? extends GraphDefOrBuilder >
getPartitionGraphsOrBuilderList ()
 Graphs of the partitions executed by executors.
int
StepStats
getStepStats ()
 Statistics traced for this step.
StepStatsOrBuilder
getStepStatsOrBuilder ()
 Statistics traced for this step.
final com.google.protobuf.UnknownFieldSet
boolean
hasCostGraph ()
 The cost graph for the computation defined by the run call.
boolean
hasStepStats ()
 Statistics traced for this step.
int
final boolean
static RunMetadata.Builder
static RunMetadata.Builder
RunMetadata.Builder
static RunMetadata
parseDelimitedFrom (InputStream input)
static RunMetadata
parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RunMetadata
parseFrom (ByteBuffer data)
static RunMetadata
parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RunMetadata
parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RunMetadata
parseFrom (com.google.protobuf.CodedInputStream input)
static RunMetadata
parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RunMetadata
parseFrom (com.google.protobuf.ByteString data)
static RunMetadata
parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static RunMetadata
parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static
RunMetadata.Builder
void
writeTo (com.google.protobuf.CodedOutputStream output)

Inherited Methods

Constants

public static final int COST_GRAPH_FIELD_NUMBER

Constant Value: 2

public static final int FUNCTION_GRAPHS_FIELD_NUMBER

Constant Value: 4

public static final int PARTITION_GRAPHS_FIELD_NUMBER

Constant Value: 3

public static final int STEP_STATS_FIELD_NUMBER

Constant Value: 1

Public Methods

public boolean equals (Object 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 RunMetadata getDefaultInstance ()

public RunMetadata getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public RunMetadata.FunctionGraphs getFunctionGraphs (int index)

 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 (int index)