RunOptions.Experimental.Builder

genel statik son sınıf 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 tipi tensorflow.RunOptions.Experimental

Genel Yöntemler

RunOptions.Experimental.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)
RunOptions.Deneysel
inşa etmek ()
RunOptions.Deneysel
inşaKısmi ()
RunOptions.Experimental.Builder
temizlemek ()
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 alanı)
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
klon ()
uzun
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.Deneysel
getDefaultInstanceForType ()
final statik 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;
son boole değeri
Başlatıldı ()
RunOptions.Experimental.Builder
mergeFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions.Experimental.Builder
mergeFrom (com.google.protobuf.Message other)
RunOptions.Experimental.Builder
mergeRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions değeri)
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
final RunOptions.Experimental.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields)
RunOptions.Experimental.Builder
setCollectiveGraphKey (uzun değer)
 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 alanı, Nesne değeri)
RunOptions.Experimental.Builder
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, int dizini, Nesne değeri)
RunOptions.Experimental.Builder
setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions değeri)
.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 bilinmeyenFields)
RunOptions.Experimental.Builder
setUseRunHandlerPool (boole değeri)
 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.

Kalıtsal Yöntemler

Genel Yöntemler

public RunOptions.Experimental.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)

public RunOptions.Deneysel yapı ()

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 alanı)

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 klonu ()

herkese açık uzun 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;

genel 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;

genel boolean hasRunHandlerPoolOptions ()

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

genel final boolean isInitialized ()

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

Atar
IO İstisnası

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

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

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

genel final RunOptions.Experimental.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields)

public RunOptions.Experimental.Builder setCollectiveGraphKey (uzun değer) 

 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 alanı, Nesne değeri)

public RunOptions.Experimental.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, int dizini, Nesne değeri)

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

.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;

genel final RunOptions.Experimental.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields)

public RunOptions.Experimental.Builder setUseRunHandlerPool (boole değeri) 

 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;