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
getDefaultInstance()
RunMetadata
getDefaultInstanceForType()
final static com.google.protobuf.Descriptors.Descriptor
getDescriptor()
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.
getParserForType()
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
getSerializedSize()
StepStats
getStepStats() 
 Statistics traced for this step.
StepStatsOrBuilder
getStepStatsOrBuilder() 
 Statistics traced for this step.
final com.google.protobuf.UnknownFieldSet
getUnknownFields()
boolean
hasCostGraph() 
 The cost graph for the computation defined by the run call.
boolean
hasStepStats() 
 Statistics traced for this step.
int
hashCode()
final boolean
isInitialized()
static RunMetadata.Builder
newBuilder(RunMetadata prototype)
static RunMetadata.Builder
newBuilder()
RunMetadata.Builder
newBuilderForType()
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
parser()
RunMetadata.Builder
toBuilder()
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) 

 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<? extends 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;

public getParserForType ()

public GraphDef getPartitionGraphs (int index) 

 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 (int index) 

 Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;

public List<? extends 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;

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

public boolean hasCostGraph () 

 The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;

public boolean 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;

public int hashCode ()

public final boolean isInitialized ()

public static RunMetadata.Builder newBuilder (RunMetadata prototype)

public static RunMetadata.Builder newBuilder ()

public RunMetadata.Builder newBuilderForType ()

public static RunMetadata parseDelimitedFrom (InputStream input)

Throws
IOException

public static RunMetadata parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static RunMetadata parseFrom (ByteBuffer data)

Throws
InvalidProtocolBufferException

public static RunMetadata parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static RunMetadata parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static RunMetadata parseFrom (com.google.protobuf.CodedInputStream input)

Throws
IOException

public static RunMetadata parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static RunMetadata parseFrom (com.google.protobuf.ByteString data)

Throws
InvalidProtocolBufferException

public static RunMetadata parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static RunMetadata parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static parser ()

public RunMetadata.Builder toBuilder ()

public void writeTo (com.google.protobuf.CodedOutputStream output)

Throws
IOException