Uses of Class
org.tensorflow.framework.RunOptions.Experimental.Builder
Packages that use RunOptions.Experimental.Builder
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Uses of RunOptions.Experimental.Builder in org.tensorflow.framework
Methods in org.tensorflow.framework that return RunOptions.Experimental.BuilderModifier and TypeMethodDescriptionRunOptions.Experimental.Builder.addRepeatedField(com.google.protobuf.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(com.google.protobuf.Descriptors.FieldDescriptor field) 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.clone()RunOptions.Builder.getExperimentalBuilder().tensorflow.RunOptions.Experimental experimental = 8;RunOptions.Experimental.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) RunOptions.Experimental.Builder.mergeFrom(com.google.protobuf.Message other) 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(com.google.protobuf.UnknownFieldSet unknownFields) RunOptions.Experimental.newBuilder()RunOptions.Experimental.newBuilder(RunOptions.Experimental prototype) RunOptions.Experimental.newBuilderForType()protected RunOptions.Experimental.BuilderRunOptions.Experimental.newBuilderForType(com.google.protobuf.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(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) RunOptions.Experimental.Builder.setRepeatedField(com.google.protobuf.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(com.google.protobuf.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.framework with parameters of type RunOptions.Experimental.BuilderModifier and TypeMethodDescriptionRunOptions.Builder.setExperimental(RunOptions.Experimental.Builder builderForValue) .tensorflow.RunOptions.Experimental experimental = 8;