RunOptions.Experimental.Builder

kelas akhir statis publik 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.
 

Tipe protobuf tensorflow.RunOptions.Experimental

Metode Publik

JalankanOptions.Eksperimental.Builder	addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
RunOptions.Eksperimental	membangun ()
RunOptions.Eksperimental	membangunPartial ()
JalankanOptions.Eksperimental.Builder	jernih ()
JalankanOptions.Eksperimental.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).
JalankanOptions.Eksperimental.Builder	clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
JalankanOptions.Eksperimental.Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
JalankanOptions.Eksperimental.Builder	clearRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
JalankanOptions.Eksperimental.Builder	hapusUseRunHandlerPool () If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
JalankanOptions.Eksperimental.Builder	klon ()
panjang	dapatkanCollectiveGraphKey () 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.Eksperimental	dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir	dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor	dapatkanDescriptorForType ()
RunOptions.Eksperimental.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	dapatkanUseRunHandlerPool () 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;
boolean terakhir	diinisialisasi ()
JalankanOptions.Eksperimental.Builder	mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
JalankanOptions.Eksperimental.Builder	mergeFrom (com.google.protobuf.Pesan lainnya)
JalankanOptions.Eksperimental.Builder	mergeRunHandlerPoolOptions (nilai RunOptions.Experimental.RunHandlerPoolOptions ) .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Eksperimental.Builder terakhir	mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
JalankanOptions.Eksperimental.Builder	setCollectiveGraphKey (nilai panjang) 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).
JalankanOptions.Eksperimental.Builder	setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
JalankanOptions.Eksperimental.Builder	setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
JalankanOptions.Eksperimental.Builder	setRunHandlerPoolOptions (nilai RunOptions.Experimental.RunHandlerPoolOptions ) .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
JalankanOptions.Eksperimental.Builder	setRunHandlerPoolOptions ( RunOptions.Eksperimental.RunHandlerPoolOptions.Builder builderForValue) .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Eksperimental.Builder terakhir	setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
JalankanOptions.Eksperimental.Builder	setUseRunHandlerPool (nilai boolean) If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.

Metode Warisan

Dari kelas java.lang.Object

boolean	sama dengan (Objek arg0)
Kelas terakhir<?>	dapatkan Kelas ()
ke dalam	Kode hash ()
kekosongan terakhir	beri tahu ()
kekosongan terakhir	beri tahuSemua ()
Rangkaian	keString ()
kekosongan terakhir	tunggu (arg0 panjang, int arg1)
kekosongan terakhir	tunggu (argumen panjang0)
kekosongan terakhir	Tunggu ()

Dari antarmuka org.tensorflow.proto.framework.RunOptions.ExperimentalOrBuilder

abstrak panjang	dapatkanCollectiveGraphKey () 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).
abstrak RunOptions.Experimental.RunHandlerPoolOptions	getRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
abstrak RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder	getRunHandlerPoolOptionsOrBuilder () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
boolean abstrak	dapatkanUseRunHandlerPool () 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 abstrak	hasRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

Metode Publik

public RunOptions.Experimental.Builder addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

RunOptions publik. Pembuatan eksperimental ()

RunOptions publik. BuildPartial eksperimental ()

RunOptions.Experimental.Builder publik jelas ()

RunOptions.Experimental.Builder publik 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;

RunOptions.Experimental.Builder clearField publik (bidang com.google.protobuf.Descriptors.FieldDescriptor)

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

RunOptions.Experimental.Builder publik clearRunHandlerPoolOptions ()

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

RunOptions.Experimental.Builder publik 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;

klon RunOptions.Experimental.Builder publik ()

getCollectiveGraphKey panjang publik ()

 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;

RunOptions publik. GetDefaultInstanceForType eksperimental ()

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

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

RunOptions.Experimental.RunHandlerPoolOptions publik getRunHandlerPoolOptions ()

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

RunOptions.Experimental.RunHandlerPoolOptions.Builder publik getRunHandlerPoolOptionsBuilder ()

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

publik RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder getRunHandlerPoolOptionsOrBuilder ()

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

boolean publik 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;

boolean publik hasRunHandlerPoolOptions ()

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

boolean akhir publik diinisialisasi ()

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

Melempar

Pengecualian IO

RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.Message lainnya) publik

RunOptions.Experimental.Builder mergeRunHandlerPoolOptions publik (nilai RunOptions.Experimental.RunHandlerPoolOptions )

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

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

public RunOptions.Experimental.Builder setCollectiveGraphKey (nilai panjang)

 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 (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

public RunOptions.Experimental.Builder setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)

RunOptions.Experimental.Builder setRunHandlerPoolOptions publik (nilai RunOptions.Experimental.RunHandlerPoolOptions )

.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 setUnknownFields final publik (com.google.protobuf.UnknownFieldSet unknownFields)

RunOptions.Experimental.Builder setUseRunHandlerPool publik (nilai boolean)

 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;