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RunOptions.Experimental.Builder

public static final class RunOptions.Experimental.Builder

 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

Public Methods

RunOptions.Experimental.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
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	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
RunOptions.Experimental.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
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.
RunOptions.Experimental.Builder	clone()
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()
final static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.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;`
final boolean	isInitialized()
RunOptions.Experimental.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions.Experimental.Builder	mergeFrom(com.google.protobuf.Message other)
RunOptions.Experimental.Builder	mergeRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions value) `.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;`
final RunOptions.Experimental.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
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	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
RunOptions.Experimental.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
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;`
final RunOptions.Experimental.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
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.

Inherited Methods

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.proto.framework.RunOptions.ExperimentalOrBuilder

abstract 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).
abstract RunOptions.Experimental.RunHandlerPoolOptions	getRunHandlerPoolOptions() `.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;`
abstract RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder	getRunHandlerPoolOptionsOrBuilder() `.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;`
abstract 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.
abstract boolean	hasRunHandlerPoolOptions() `.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;`

Public Methods

public RunOptions.Experimental.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)

public RunOptions.Experimental build ()

public RunOptions.Experimental buildPartial ()

public RunOptions.Experimental.Builder clear ()

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;

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

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

public RunOptions.Experimental.Builder clearRunHandlerPoolOptions ()

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

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;

public RunOptions.Experimental.Builder clone ()

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;

public RunOptions.Experimental getDefaultInstanceForType ()

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

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

public RunOptions.Experimental.RunHandlerPoolOptions getRunHandlerPoolOptions ()

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

public RunOptions.Experimental.RunHandlerPoolOptions.Builder getRunHandlerPoolOptionsBuilder ()

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

public RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder getRunHandlerPoolOptionsOrBuilder ()

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

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;

public boolean hasRunHandlerPoolOptions ()

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

public final boolean isInitialized ()

public RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws

IOException

public RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.Message other)

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

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

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

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;

public RunOptions.Experimental.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)

public RunOptions.Experimental.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)

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

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

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

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

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

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;