Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
tensorflow.RunOptions.Experimental
공개 방법
RunOptions.Experimental.Builder | addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값) |
RunOptions.실험적 | 짓다 () |
RunOptions.실험적 | 빌드부분 () |
RunOptions.Experimental.Builder | 분명한 () |
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 () |
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). |
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; |
불리언 | 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. |
불리언 | hasRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3; |
최종 부울 | 초기화됨 () |
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.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.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 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 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;