RunOptions.Experimental.Builder

공개 정적 최종 클래스 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 유형 tensorflow.RunOptions.Experimental

공개 방법

RunOptions.Experimental.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값)
RunOptions.실험적
짓다 ()
RunOptions.실험적
RunOptions.Experimental.Builder
RunOptions.Experimental.Builder
클리어컬렉티브그래프키 ()
 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 필드)
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
클론 ()
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.실험적
최종 정적 com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
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;
부울
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.
부울
hasRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
최종 부울
RunOptions.Experimental.Builder
mergeFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
RunOptions.Experimental.Builder
mergeFrom (com.google.protobuf.다른 메시지 보내기)
RunOptions.Experimental.Builder
mergeRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions 값)
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
최종 RunOptions.Experimental.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet 알려지지 않은Fields)
RunOptions.Experimental.Builder
setCollectiveGraphKey (긴 값)
 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 필드, 개체 값)
RunOptions.Experimental.Builder
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, int 인덱스, 개체 값)
RunOptions.Experimental.Builder
setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions 값)
.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;
최종 RunOptions.Experimental.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
RunOptions.Experimental.Builder
setUseRunHandlerPool (부울 값)
 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.

상속된 메서드

공개 방법

공개 RunOptions.Experimental.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값)

공개 RunOptions.Experimental 빌드 ()

공개 RunOptions.Experimental buildPartial ()

공개 RunOptions.Experimental.Builder 지우기 ()

공개 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;

공개 RunOptions.Experimental.BuilderclearField ( com.google.protobuf.Descriptors.FieldDescriptor 필드)

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

공개 RunOptions.Experimental.Builder ClearRunHandlerPoolOptions ()

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

공개 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;

공개 긴 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;

공개 RunOptions.Experimental getDefaultInstanceForType ()

공개 정적 최종 com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

공개 RunOptions.Experimental.RunHandlerPoolOptions getRunHandlerPoolOptions ()

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

공개 RunOptions.Experimental.RunHandlerPoolOptions.Builder getRunHandlerPoolOptionsBuilder ()

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

공개 RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder getRunHandlerPoolOptionsOrBuilder ()

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

공개 부울 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;

공개 부울 hasRunHandlerPoolOptions ()

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

공개 최종 부울 isInitialized ()

공개 RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

던지기
IO예외

공개 RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.다른 메시지)

공개 RunOptions.Experimental.Builder mergeRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions 값)

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

공개 최종 RunOptions.Experimental.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

공개 RunOptions.Experimental.Builder setCollectiveGraphKey (긴 값)

 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;

공개 RunOptions.Experimental.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값)

공개 RunOptions.Experimental.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, int 인덱스, 개체 값)

공개 RunOptions.Experimental.Builder setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions 값)

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

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

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

공개 최종 RunOptions.Experimental.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

공개 RunOptions.Experimental.Builder setUseRunHandlerPool (부울 값)

 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;