RunOptions.Experimental

RunOptions.Experimental de clase final estática pública

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

Clases anidadas

clase 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. 
clase RunOptions.Experimental.RunHandlerPoolOptions
 Options for run handler thread pool. 
interfaz RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder

Constantes

En t COLLECTIVE_GRAPH_KEY_FIELD_NUMBER
En t RUN_HANDLER_POOL_OPTIONS_FIELD_NUMBER
En t USE_RUN_HANDLER_POOL_FIELD_NUMBER

Métodos públicos

booleano
es igual a (Objeto obj)
largo
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 estáticas.Experimental
RunOptions.Experimental
com.google.protobuf.Descriptors.Descriptor estático final
RunOptions.Experimental.RunHandlerPoolOptions
getRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder
getRunHandlerPoolOptionsOrBuilder ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
En t
final com.google.protobuf.UnknownFieldSet
booleano
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.
booleano
hasRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
En t
booleano final
static RunOptions.Experimental.Builder
static RunOptions.Experimental.Builder
RunOptions.Experimental.Builder
RunOptions estáticas.Experimental
parseDelimitedFrom (entrada InputStream)
RunOptions estáticas.Experimental
parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions estáticas.Experimental
parseFrom (datos ByteBuffer)
RunOptions estáticas.Experimental
parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions estáticas.Experimental
parseFrom (datos ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions estáticas.Experimental
parseFrom (entrada com.google.protobuf.CodedInputStream)
RunOptions estáticas.Experimental
parseFrom (byte [] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions estáticas.Experimental
parseFrom (datos com.google.protobuf.ByteString)
RunOptions estáticas.Experimental
parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions estáticas.Experimental
parseFrom (datos com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático
RunOptions.Experimental.Builder
vacío
writeTo (salida de com.google.protobuf.CodedOutputStream)

Métodos heredados

Constantes

public static final int COLLECTIVE_GRAPH_KEY_FIELD_NUMBER

Valor constante: 1

public static final int RUN_HANDLER_POOL_OPTIONS_FIELD_NUMBER

Valor constante: 3

public static final int USE_RUN_HANDLER_POOL_FIELD_NUMBER

Valor constante: 2

Métodos públicos

public boolean es igual a (Object obj)

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 int64 collective_graph_key = 1;

public static RunOptions.Experimental getDefaultInstance ()

public RunOptions.Experimental getDefaultInstanceForType ()

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

público getParserForType ()

public RunOptions.Experimental.RunHandlerPoolOptions getRunHandlerPoolOptions ()

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

public RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder getRunHandlerPoolOptionsOrBuilder ()

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

public int getSerializedSize ()

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

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 int hashCode ()

public final boolean isInitialized ()

public static RunOptions.Experimental.Builder newBuilder ()

public static RunOptions.Experimental.Builder newBuilder ( RunOptions.Experimental prototype)

public RunOptions.Experimental.Builder newBuilderForType ()

public static RunOptions.Experimental parseDelimitedFrom (entrada InputStream)

Lanza
IOException

public static RunOptions.Experimental parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
IOException

public static RunOptions.Experimental parseFrom (ByteBuffer datos)

Lanza
InvalidProtocolBufferException

public static RunOptions.Experimental parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
IOException

public static RunOptions.Experimental parseFrom (datos de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
InvalidProtocolBufferException

public static RunOptions.Experimental parseFrom (entrada com.google.protobuf.CodedInputStream)

Lanza
IOException

public static RunOptions.Experimental parseFrom (byte [] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lanza
InvalidProtocolBufferException

public static RunOptions.Experimental parseFrom (com.google.protobuf.ByteString data)

Lanza
InvalidProtocolBufferException

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

Lanza
IOException

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

Lanza
InvalidProtocolBufferException

público estático analizador ()

public RunOptions.Experimental.Builder toBuilder ()

public void writeTo (salida de com.google.protobuf.CodedOutputStream)

Lanza
IOException