org.tensorflow.framework

Class RunMetadata.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderType>

com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>

org.tensorflow.framework.RunMetadata.Builder

All Implemented Interfaces:

com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, java.lang.Cloneable, RunMetadataOrBuilder

Enclosing class:

RunMetadata

public static final class RunMetadata.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>
implements RunMetadataOrBuilder

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

Protobuf type tensorflow.RunMetadata

Method Summary

Modifier and Type	Method and Description
RunMetadata.Builder	addAllFunctionGraphs(java.lang.Iterable<? extends RunMetadata.FunctionGraphs> values) This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.Builder	addAllPartitionGraphs(java.lang.Iterable<? extends GraphDef> values) Graphs of the partitions executed by executors.
RunMetadata.Builder	addFunctionGraphs(int index, RunMetadata.FunctionGraphs.Builder builderForValue) This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.Builder	addFunctionGraphs(int index, RunMetadata.FunctionGraphs value) This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.Builder	addFunctionGraphs(RunMetadata.FunctionGraphs.Builder builderForValue) This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.Builder	addFunctionGraphs(RunMetadata.FunctionGraphs value) This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.FunctionGraphs.Builder	addFunctionGraphsBuilder() This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.FunctionGraphs.Builder	addFunctionGraphsBuilder(int index) This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.Builder	addPartitionGraphs(GraphDef.Builder builderForValue) Graphs of the partitions executed by executors.
RunMetadata.Builder	addPartitionGraphs(GraphDef value) Graphs of the partitions executed by executors.
RunMetadata.Builder	addPartitionGraphs(int index, GraphDef.Builder builderForValue) Graphs of the partitions executed by executors.
RunMetadata.Builder	addPartitionGraphs(int index, GraphDef value) Graphs of the partitions executed by executors.
GraphDef.Builder	addPartitionGraphsBuilder() Graphs of the partitions executed by executors.
GraphDef.Builder	addPartitionGraphsBuilder(int index) Graphs of the partitions executed by executors.
RunMetadata.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
RunMetadata	build()
RunMetadata	buildPartial()
RunMetadata.Builder	clear()
RunMetadata.Builder	clearCostGraph() The cost graph for the computation defined by the run call.
RunMetadata.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
RunMetadata.Builder	clearFunctionGraphs() This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
RunMetadata.Builder	clearPartitionGraphs() Graphs of the partitions executed by executors.
RunMetadata.Builder	clearStepStats() Statistics traced for this step.
RunMetadata.Builder	clone()
CostGraphDef	getCostGraph() The cost graph for the computation defined by the run call.
CostGraphDef.Builder	getCostGraphBuilder() 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	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
RunMetadata.FunctionGraphs	getFunctionGraphs(int index) This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.FunctionGraphs.Builder	getFunctionGraphsBuilder(int index) This is only populated for graphs that are run as functions in TensorFlow V2.
java.util.List<RunMetadata.FunctionGraphs.Builder>	getFunctionGraphsBuilderList() 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.
java.util.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.
java.util.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.
GraphDef.Builder	getPartitionGraphsBuilder(int index) Graphs of the partitions executed by executors.
java.util.List<GraphDef.Builder>	getPartitionGraphsBuilderList() Graphs of the partitions executed by executors.
int	getPartitionGraphsCount() Graphs of the partitions executed by executors.
java.util.List<GraphDef>	getPartitionGraphsList() Graphs of the partitions executed by executors.
GraphDefOrBuilder	getPartitionGraphsOrBuilder(int index) Graphs of the partitions executed by executors.
java.util.List<? extends GraphDefOrBuilder>	getPartitionGraphsOrBuilderList() Graphs of the partitions executed by executors.
StepStats	getStepStats() Statistics traced for this step.
StepStats.Builder	getStepStatsBuilder() Statistics traced for this step.
StepStatsOrBuilder	getStepStatsOrBuilder() Statistics traced for this step.
boolean	hasCostGraph() The cost graph for the computation defined by the run call.
boolean	hasStepStats() Statistics traced for this step.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
RunMetadata.Builder	mergeCostGraph(CostGraphDef value) The cost graph for the computation defined by the run call.
RunMetadata.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata.Builder	mergeFrom(com.google.protobuf.Message other)
RunMetadata.Builder	mergeFrom(RunMetadata other)
RunMetadata.Builder	mergeStepStats(StepStats value) Statistics traced for this step.
RunMetadata.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
RunMetadata.Builder	removeFunctionGraphs(int index) This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.Builder	removePartitionGraphs(int index) Graphs of the partitions executed by executors.
RunMetadata.Builder	setCostGraph(CostGraphDef.Builder builderForValue) The cost graph for the computation defined by the run call.
RunMetadata.Builder	setCostGraph(CostGraphDef value) The cost graph for the computation defined by the run call.
RunMetadata.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
RunMetadata.Builder	setFunctionGraphs(int index, RunMetadata.FunctionGraphs.Builder builderForValue) This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.Builder	setFunctionGraphs(int index, RunMetadata.FunctionGraphs value) This is only populated for graphs that are run as functions in TensorFlow V2.
RunMetadata.Builder	setPartitionGraphs(int index, GraphDef.Builder builderForValue) Graphs of the partitions executed by executors.
RunMetadata.Builder	setPartitionGraphs(int index, GraphDef value) Graphs of the partitions executed by executors.
RunMetadata.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value)
RunMetadata.Builder	setStepStats(StepStats.Builder builderForValue) Statistics traced for this step.
RunMetadata.Builder	setStepStats(StepStats value) Statistics traced for this step.
RunMetadata.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLite.Builder

mergeFrom

Method Detail

getDescriptor

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

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>

clear

public RunMetadata.Builder clear()

Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>

getDefaultInstanceForType

public RunMetadata getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public RunMetadata build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public RunMetadata buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone

public RunMetadata.Builder clone()

Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>

setField

public RunMetadata.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                    java.lang.Object value)

Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>

clearField

public RunMetadata.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>

clearOneof

public RunMetadata.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>

setRepeatedField

public RunMetadata.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                            int index,
                                            java.lang.Object value)

Specified by:

setRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>

addRepeatedField

public RunMetadata.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                            java.lang.Object value)

Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>

mergeFrom

public RunMetadata.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<RunMetadata.Builder>

mergeFrom

public RunMetadata.Builder mergeFrom(RunMetadata other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>

mergeFrom

public RunMetadata.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                     com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                              throws java.io.IOException

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<RunMetadata.Builder>

Throws:

java.io.IOException

hasStepStats

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;

Specified by:

hasStepStats in interface RunMetadataOrBuilder

Returns:

Whether the stepStats field is set.

getStepStats

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;

Specified by:

getStepStats in interface RunMetadataOrBuilder

Returns:

The stepStats.

setStepStats

public RunMetadata.Builder setStepStats(StepStats value)

 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;

setStepStats

public RunMetadata.Builder setStepStats(StepStats.Builder builderForValue)

 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;

mergeStepStats

public RunMetadata.Builder mergeStepStats(StepStats value)

 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;

clearStepStats

public RunMetadata.Builder clearStepStats()

 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;

getStepStatsBuilder

public StepStats.Builder getStepStatsBuilder()

 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;

getStepStatsOrBuilder

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;

Specified by:

getStepStatsOrBuilder in interface RunMetadataOrBuilder

hasCostGraph

public boolean hasCostGraph()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

Specified by:

hasCostGraph in interface RunMetadataOrBuilder

Returns:

Whether the costGraph field is set.

getCostGraph

public CostGraphDef getCostGraph()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

Specified by:

getCostGraph in interface RunMetadataOrBuilder

Returns:

The costGraph.

setCostGraph

public RunMetadata.Builder setCostGraph(CostGraphDef value)

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

setCostGraph

public RunMetadata.Builder setCostGraph(CostGraphDef.Builder builderForValue)

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

mergeCostGraph

public RunMetadata.Builder mergeCostGraph(CostGraphDef value)

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

clearCostGraph

public RunMetadata.Builder clearCostGraph()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

getCostGraphBuilder

public CostGraphDef.Builder getCostGraphBuilder()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

getCostGraphOrBuilder

public CostGraphDefOrBuilder getCostGraphOrBuilder()

 The cost graph for the computation defined by the run call.
 

.tensorflow.CostGraphDef cost_graph = 2;

Specified by:

getCostGraphOrBuilder in interface RunMetadataOrBuilder

getPartitionGraphsList

public java.util.List<GraphDef> getPartitionGraphsList()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

Specified by:

getPartitionGraphsList in interface RunMetadataOrBuilder

getPartitionGraphsCount

public int getPartitionGraphsCount()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

Specified by:

getPartitionGraphsCount in interface RunMetadataOrBuilder

getPartitionGraphs

public GraphDef getPartitionGraphs(int index)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

Specified by:

getPartitionGraphs in interface RunMetadataOrBuilder

setPartitionGraphs

public RunMetadata.Builder setPartitionGraphs(int index,
                                              GraphDef value)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

setPartitionGraphs

public RunMetadata.Builder setPartitionGraphs(int index,
                                              GraphDef.Builder builderForValue)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

addPartitionGraphs

public RunMetadata.Builder addPartitionGraphs(GraphDef value)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

addPartitionGraphs

public RunMetadata.Builder addPartitionGraphs(int index,
                                              GraphDef value)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

addPartitionGraphs

public RunMetadata.Builder addPartitionGraphs(GraphDef.Builder builderForValue)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

addPartitionGraphs

public RunMetadata.Builder addPartitionGraphs(int index,
                                              GraphDef.Builder builderForValue)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

addAllPartitionGraphs

public RunMetadata.Builder addAllPartitionGraphs(java.lang.Iterable<? extends GraphDef> values)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

clearPartitionGraphs

public RunMetadata.Builder clearPartitionGraphs()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

removePartitionGraphs

public RunMetadata.Builder removePartitionGraphs(int index)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

getPartitionGraphsBuilder

public GraphDef.Builder getPartitionGraphsBuilder(int index)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

getPartitionGraphsOrBuilder

public GraphDefOrBuilder getPartitionGraphsOrBuilder(int index)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

Specified by:

getPartitionGraphsOrBuilder in interface RunMetadataOrBuilder

getPartitionGraphsOrBuilderList

public java.util.List<? extends GraphDefOrBuilder> getPartitionGraphsOrBuilderList()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

Specified by:

getPartitionGraphsOrBuilderList in interface RunMetadataOrBuilder

addPartitionGraphsBuilder

public GraphDef.Builder addPartitionGraphsBuilder()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

addPartitionGraphsBuilder

public GraphDef.Builder addPartitionGraphsBuilder(int index)

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

getPartitionGraphsBuilderList

public java.util.List<GraphDef.Builder> getPartitionGraphsBuilderList()

 Graphs of the partitions executed by executors.
 

repeated .tensorflow.GraphDef partition_graphs = 3;

getFunctionGraphsList

public java.util.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;

Specified by:

getFunctionGraphsList in interface RunMetadataOrBuilder

getFunctionGraphsCount

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;

Specified by:

getFunctionGraphsCount in interface RunMetadataOrBuilder

getFunctionGraphs

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;

Specified by:

getFunctionGraphs in interface RunMetadataOrBuilder

setFunctionGraphs

public RunMetadata.Builder setFunctionGraphs(int index,
                                             RunMetadata.FunctionGraphs value)

 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;

setFunctionGraphs

public RunMetadata.Builder setFunctionGraphs(int index,
                                             RunMetadata.FunctionGraphs.Builder builderForValue)

 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;

addFunctionGraphs

public RunMetadata.Builder addFunctionGraphs(RunMetadata.FunctionGraphs value)

 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;

addFunctionGraphs

public RunMetadata.Builder addFunctionGraphs(int index,
                                             RunMetadata.FunctionGraphs value)

 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;

addFunctionGraphs

public RunMetadata.Builder addFunctionGraphs(RunMetadata.FunctionGraphs.Builder builderForValue)

 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;

addFunctionGraphs

public RunMetadata.Builder addFunctionGraphs(int index,
                                             RunMetadata.FunctionGraphs.Builder builderForValue)

 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;

addAllFunctionGraphs

public RunMetadata.Builder addAllFunctionGraphs(java.lang.Iterable<? extends RunMetadata.FunctionGraphs> values)

 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;

clearFunctionGraphs

public RunMetadata.Builder clearFunctionGraphs()

 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;

removeFunctionGraphs

public RunMetadata.Builder removeFunctionGraphs(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;

getFunctionGraphsBuilder

public RunMetadata.FunctionGraphs.Builder getFunctionGraphsBuilder(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;

getFunctionGraphsOrBuilder

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;

Specified by:

getFunctionGraphsOrBuilder in interface RunMetadataOrBuilder

getFunctionGraphsOrBuilderList

public java.util.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;

Specified by:

getFunctionGraphsOrBuilderList in interface RunMetadataOrBuilder

addFunctionGraphsBuilder

public RunMetadata.FunctionGraphs.Builder addFunctionGraphsBuilder()

 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;

addFunctionGraphsBuilder

public RunMetadata.FunctionGraphs.Builder addFunctionGraphsBuilder(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;

getFunctionGraphsBuilderList

public java.util.List<RunMetadata.FunctionGraphs.Builder> getFunctionGraphsBuilderList()

 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;

setUnknownFields

public final RunMetadata.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>

mergeUnknownFields

public final RunMetadata.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<RunMetadata.Builder>