Uses of Class
org.tensorflow.proto.RunOptions.Experimental.Builder
Packages that use RunOptions.Experimental.Builder
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Uses of RunOptions.Experimental.Builder in org.tensorflow.proto
Subclasses with type arguments of type RunOptions.Experimental.Builder in org.tensorflow.protoModifier and TypeClassDescriptionstatic final classEverything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.Methods in org.tensorflow.proto that return RunOptions.Experimental.BuilderModifier and TypeMethodDescriptionRunOptions.Experimental.Builder.addRepeatedField(Descriptors.FieldDescriptor field, Object value) RunOptions.Experimental.Builder.clear()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(Descriptors.FieldDescriptor field) RunOptions.Experimental.Builder.clearOneof(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.clone()RunOptions.Builder.getExperimentalBuilder().tensorflow.RunOptions.Experimental experimental = 8;RunOptions.Experimental.Builder.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) RunOptions.Experimental.Builder.mergeFrom(RunOptions.Experimental other) RunOptions.Experimental.Builder.mergeRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions value) .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;RunOptions.Experimental.Builder.mergeUnknownFields(UnknownFieldSet unknownFields) RunOptions.Experimental.newBuilder()RunOptions.Experimental.newBuilder(RunOptions.Experimental prototype) RunOptions.Experimental.newBuilderForType()protected RunOptions.Experimental.BuilderRunOptions.Experimental.newBuilderForType(GeneratedMessageV3.BuilderParent parent) RunOptions.Experimental.Builder.setCollectiveGraphKey(long value) 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(Descriptors.FieldDescriptor field, Object value) RunOptions.Experimental.Builder.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value) RunOptions.Experimental.Builder.setRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions value) .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(UnknownFieldSet unknownFields) RunOptions.Experimental.Builder.setUseRunHandlerPool(boolean value) 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.toBuilder()Methods in org.tensorflow.proto with parameters of type RunOptions.Experimental.BuilderModifier and TypeMethodDescriptionRunOptions.Builder.setExperimental(RunOptions.Experimental.Builder builderForValue) .tensorflow.RunOptions.Experimental experimental = 8;