TensorFlow が 5 月 14 日の Google I/O に戻ってきます。今すぐ登録

このページは Cloud Translation API によって翻訳されました。

RunOptions.Experimental.Builder

パブリック静的最終クラス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 型tensorflow.RunOptions.Experimental

パブリックメソッド

RunOptions.Experimental.Builder	addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、オブジェクト値)
RunOptions.Experimental	建てる（）
RunOptions.Experimental	buildPartial ()
RunOptions.Experimental.Builder	クリア（）
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 フィールド)
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	クローン()
長さ	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 ()
最終的な静的 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;`
ブール値	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.
ブール値	hasRunHandlerPoolOptions () `.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;`
最終ブール値	isInitialized ()
RunOptions.Experimental.Builder	mergeFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions.Experimental.Builder	mergeFrom (com.google.protobuf.Message other)
RunOptions.Experimental.Builder	mergeRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions値) `.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;`
最終的なRunOptions.Experimental.Builder	mergeUnknownFields (com.google.protobuf.UnknownFieldSet 不明フィールド)
RunOptions.Experimental.Builder	setCollectiveGraphKey (長い値) 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 フィールド、オブジェクト値)
RunOptions.Experimental.Builder	setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、int インデックス、オブジェクト値)
RunOptions.Experimental.Builder	setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions値) `.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;`
最終的なRunOptions.Experimental.Builder	setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
RunOptions.Experimental.Builder	setUseRunHandlerPool (ブール値) If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.

継承されたメソッド

クラスjava.lang.Objectから

ブール値	等しい(オブジェクト arg0)
最終クラス<?>	getクラス()
整数	ハッシュコード（）
最後の空白	通知する()
最後の空白	すべて通知()
弦	toString ()
最後の空白	wait (long arg0, int arg1)
最後の空白	待機(長い引数0)
最後の空白	待って（）

インターフェースorg.tensorflow.proto.framework.RunOptions.ExperimentalOrBuilderより

抽象的な長い	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).
抽象RunOptions.Experimental.RunHandlerPoolOptions	getRunHandlerPoolOptions () `.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;`
抽象RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder	getRunHandlerPoolOptionsOrBuilder () `.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;`
抽象ブール値	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.
抽象ブール値	hasRunHandlerPoolOptions () `.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;`

パブリックメソッド

public RunOptions.Experimental.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、オブジェクト値)

public RunOptions.Experimentalビルド()

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 フィールド)

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クローン()

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;

パブリック最終ブール値isInitialized ()

public RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる

IO例外

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

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

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

public Final RunOptions.Experimental.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet knownFields)

public RunOptions.Experimental.Builder setCollectiveGraphKey (長い値)

 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 フィールド、オブジェクト値)

public RunOptions.Experimental.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、int インデックス、オブジェクト値)

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

.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 knownFields)

public RunOptions.Experimental.Builder setUseRunHandlerPool (ブール値)

 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;