Class RunOptions.Experimental.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<RunOptions.Experimental.Builder>

com.google.protobuf.GeneratedMessage.Builder<RunOptions.Experimental.Builder>

org.tensorflow.proto.RunOptions.Experimental.Builder

All Implemented Interfaces:

Message.Builder, MessageLite.Builder, MessageLiteOrBuilder, MessageOrBuilder, Cloneable, RunOptions.ExperimentalOrBuilder

Enclosing class:

RunOptions.Experimental

public static final class RunOptions.Experimental.Builder
extends GeneratedMessage.Builder<RunOptions.Experimental.Builder>
implements RunOptions.ExperimentalOrBuilder

Everything inside Experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.

Protobuf type tensorflow.RunOptions.Experimental

Method Summary

Modifier and Type	Method	Description
RunOptions.Experimental	build()
RunOptions.Experimental	buildPartial()
RunOptions.Experimental.Builder	clear()
RunOptions.Experimental.Builder	clearCollectiveGraphKey()	If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
RunOptions.Experimental.Builder	clearRunHandlerPoolOptions()	.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.Builder	clearUseRunHandlerPool()	If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
long	getCollectiveGraphKey()	If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
RunOptions.Experimental	getDefaultInstanceForType()
static final Descriptors.Descriptor	getDescriptor()
Descriptors.Descriptor	getDescriptorForType()
RunOptions.Experimental.RunHandlerPoolOptions	getRunHandlerPoolOptions()	.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.RunHandlerPoolOptions.Builder	getRunHandlerPoolOptionsBuilder()	.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder	getRunHandlerPoolOptionsOrBuilder()	.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
boolean	getUseRunHandlerPool()	If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
boolean	hasRunHandlerPoolOptions()	.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
protected GeneratedMessage.FieldAccessorTable	internalGetFieldAccessorTable()
final boolean	isInitialized()
RunOptions.Experimental.Builder	mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
RunOptions.Experimental.Builder	mergeFrom(Message other)
RunOptions.Experimental.Builder	mergeFrom(RunOptions.Experimental other)
RunOptions.Experimental.Builder	mergeRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions value)	.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.Builder	setCollectiveGraphKey(long value)	If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
RunOptions.Experimental.Builder	setRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions value)	.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.Builder	setRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions.Builder builderForValue)	.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.Builder	setUseRunHandlerPool(boolean value)	If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.

Methods inherited from class GeneratedMessage.Builder

addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class AbstractMessage.Builder

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

Methods inherited from class AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException

Methods inherited from class Object

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

Methods inherited from interface Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Method Details

getDescriptor

public static final Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class GeneratedMessage.Builder<RunOptions.Experimental.Builder>

clear

public RunOptions.Experimental.Builder clear()

Specified by:

clear in interface Message.Builder

Specified by:

clear in interface MessageLite.Builder

Overrides:

clear in class GeneratedMessage.Builder<RunOptions.Experimental.Builder>

getDescriptorForType

public Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface Message.Builder

Specified by:

getDescriptorForType in interface MessageOrBuilder

Overrides:

getDescriptorForType in class GeneratedMessage.Builder<RunOptions.Experimental.Builder>

getDefaultInstanceForType

public RunOptions.Experimental getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface MessageOrBuilder

build

public RunOptions.Experimental build()

Specified by:

build in interface Message.Builder

Specified by:

build in interface MessageLite.Builder

buildPartial

public RunOptions.Experimental buildPartial()

Specified by:

buildPartial in interface Message.Builder

Specified by:

buildPartial in interface MessageLite.Builder

mergeFrom

public RunOptions.Experimental.Builder mergeFrom(Message other)

Specified by:

mergeFrom in interface Message.Builder

Overrides:

mergeFrom in class AbstractMessage.Builder<RunOptions.Experimental.Builder>

mergeFrom

public RunOptions.Experimental.Builder mergeFrom(RunOptions.Experimental other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface MessageLiteOrBuilder

Overrides:

isInitialized in class GeneratedMessage.Builder<RunOptions.Experimental.Builder>

mergeFrom

public RunOptions.Experimental.Builder mergeFrom(CodedInputStream input,
 ExtensionRegistryLite extensionRegistry)
                                          throws IOException

Specified by:

mergeFrom in interface Message.Builder

Specified by:

mergeFrom in interface MessageLite.Builder

Overrides:

mergeFrom in class AbstractMessage.Builder<RunOptions.Experimental.Builder>

Throws:

IOException

getCollectiveGraphKey

public long getCollectiveGraphKey()

If non-zero, declares that this graph is going to use collective
ops and must synchronize step_ids with any other graph with this
same group_key value (in a distributed computation where tasks
run disjoint graphs).

int64 collective_graph_key = 1;

Specified by:

getCollectiveGraphKey in interface RunOptions.ExperimentalOrBuilder

Returns:

The collectiveGraphKey.

setCollectiveGraphKey

public RunOptions.Experimental.Builder setCollectiveGraphKey(long value)

If non-zero, declares that this graph is going to use collective
ops and must synchronize step_ids with any other graph with this
same group_key value (in a distributed computation where tasks
run disjoint graphs).

int64 collective_graph_key = 1;

Parameters:

value - The collectiveGraphKey to set.

Returns:

This builder for chaining.

clearCollectiveGraphKey

public RunOptions.Experimental.Builder clearCollectiveGraphKey()

If non-zero, declares that this graph is going to use collective
ops and must synchronize step_ids with any other graph with this
same group_key value (in a distributed computation where tasks
run disjoint graphs).

int64 collective_graph_key = 1;

Returns:

This builder for chaining.

getUseRunHandlerPool

public boolean getUseRunHandlerPool()

If true, then operations (using the inter-op pool) across all
session::run() calls will be centrally scheduled, optimizing for (median
and tail) latency.
Consider using this option for CPU-bound workloads like inference.

bool use_run_handler_pool = 2;

Specified by:

getUseRunHandlerPool in interface RunOptions.ExperimentalOrBuilder

Returns:

The useRunHandlerPool.

setUseRunHandlerPool

public RunOptions.Experimental.Builder setUseRunHandlerPool(boolean value)

If true, then operations (using the inter-op pool) across all
session::run() calls will be centrally scheduled, optimizing for (median
and tail) latency.
Consider using this option for CPU-bound workloads like inference.

bool use_run_handler_pool = 2;

Parameters:

value - The useRunHandlerPool to set.

Returns:

This builder for chaining.

clearUseRunHandlerPool

public RunOptions.Experimental.Builder clearUseRunHandlerPool()

If true, then operations (using the inter-op pool) across all
session::run() calls will be centrally scheduled, optimizing for (median
and tail) latency.
Consider using this option for CPU-bound workloads like inference.

bool use_run_handler_pool = 2;

Returns:

This builder for chaining.

hasRunHandlerPoolOptions

public boolean hasRunHandlerPoolOptions()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

Specified by:

hasRunHandlerPoolOptions in interface RunOptions.ExperimentalOrBuilder

Returns:

Whether the runHandlerPoolOptions field is set.

getRunHandlerPoolOptions

public RunOptions.Experimental.RunHandlerPoolOptions getRunHandlerPoolOptions()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

Specified by:

getRunHandlerPoolOptions in interface RunOptions.ExperimentalOrBuilder

Returns:

The runHandlerPoolOptions.

setRunHandlerPoolOptions

public RunOptions.Experimental.Builder setRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions value)

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

setRunHandlerPoolOptions

public RunOptions.Experimental.Builder setRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions.Builder builderForValue)

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

mergeRunHandlerPoolOptions

public RunOptions.Experimental.Builder mergeRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions value)

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

clearRunHandlerPoolOptions

public RunOptions.Experimental.Builder clearRunHandlerPoolOptions()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

getRunHandlerPoolOptionsBuilder

public RunOptions.Experimental.RunHandlerPoolOptions.Builder getRunHandlerPoolOptionsBuilder()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

getRunHandlerPoolOptionsOrBuilder

public RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder getRunHandlerPoolOptionsOrBuilder()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

Specified by:

getRunHandlerPoolOptionsOrBuilder in interface RunOptions.ExperimentalOrBuilder