Uses of Class
org.tensorflow.proto.ConfigProto.Experimental.Builder
Packages that use ConfigProto.Experimental.Builder
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Uses of ConfigProto.Experimental.Builder in org.tensorflow.proto
Subclasses with type arguments of type ConfigProto.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 ConfigProto.Experimental.BuilderModifier and TypeMethodDescriptionConfigProto.Experimental.Builder.addRepeatedField(Descriptors.FieldDescriptor field, Object value) ConfigProto.Experimental.Builder.clear()ConfigProto.Experimental.Builder.clearBackendServerPort()Port for the Pathways server.ConfigProto.Experimental.Builder.clearCollectiveDeterministicSequentialExecution()If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.ConfigProto.Experimental.Builder.clearCollectiveGroupLeader()Task name for group resolution.ConfigProto.Experimental.Builder.clearCollectiveNccl()If true, use NCCL for CollectiveOps.ConfigProto.Experimental.Builder.clearCoordinationConfig()Distributed coordination service configurations.ConfigProto.Experimental.Builder.clearDisableEagerExecutorStreamingEnqueue()Whether eager remote execution will stream all the function calls or allow them to happen in parallel.ConfigProto.Experimental.Builder.clearDisableFunctionalOpsLowering()Whether functional control flow op lowering should be disabled.ConfigProto.Experimental.Builder.clearDisableOptimizeForStaticGraph()If true, the session will treat the graph as being non-static for optimization purposes.ConfigProto.Experimental.Builder.clearDisableOutputPartitionGraphs()If true, the session will not store an additional copy of the graph for each subgraph.ConfigProto.Experimental.Builder.clearDisableThreadSpinning()If using a direct session, disable spinning while waiting for work in the thread pool.ConfigProto.Experimental.Builder.clearEnableMlirBridge()Whether to enable the MLIR-based TF->XLA bridge.ConfigProto.Experimental.Builder.clearEnableMlirGraphOptimization()Whether to enable the MLIR-based Graph optimizations.ConfigProto.Experimental.Builder.clearEnableMultiHost()If true, use Pathways with TFRT API for multi host support.ConfigProto.Experimental.Builder.clearExecutorType()Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"ConfigProto.Experimental.Builder.clearField(Descriptors.FieldDescriptor field) ConfigProto.Experimental.Builder.clearMlirBridgeRollout()Whether to enable the MLIR-based TF->XLA bridge.ConfigProto.Experimental.Builder.clearOneof(Descriptors.OneofDescriptor oneof) ConfigProto.Experimental.Builder.clearOptimizeForStaticGraph()If true, the session may treat the graph as being static for optimization purposes.ConfigProto.Experimental.Builder.clearRecvBufMaxChunk()Guidance to formatting of large RecvBuf fields for transfer.ConfigProto.Experimental.Builder.clearSessionMetadata()Metadata about the session.ConfigProto.Experimental.Builder.clearShareClusterDevicesInSession()This was promoted to a non-experimental API.ConfigProto.Experimental.Builder.clearShareSessionStateInClusterspecPropagation()In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server.ConfigProto.Experimental.Builder.clearStreamMergeThreshold()The threshold to merge small streams in TFRT.ConfigProto.Experimental.Builder.clearTargetGpu()If true, TFRT will use GPU specific compiler passes and perform GPU specific initialization.ConfigProto.Experimental.Builder.clearTargetTpu()If true, TFRT will use TPU specific compiler passes and perform TPU specific initialization.ConfigProto.Experimental.Builder.clearTfrtUseIfrt()If true, use ifrt as the backend for TFRT.ConfigProto.Experimental.Builder.clearUseNumaAffinity()If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.ConfigProto.Experimental.Builder.clearUseTfrt()Whether runtime execution uses TFRT.ConfigProto.Experimental.Builder.clearXlaFusionAutotunerThresh()Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.ConfigProto.Experimental.Builder.clearXlaPreferSingleGraphCluster()Provides a hint to XLA auto clustering to prefer forming a single large cluster that encompases most of the graph.ConfigProto.Experimental.Builder.clone()ConfigProto.Builder.getExperimentalBuilder().tensorflow.ConfigProto.Experimental experimental = 16;ConfigProto.Experimental.Builder.mergeCoordinationConfig(CoordinationConfig.CoordinationServiceConfig value) Distributed coordination service configurations.ConfigProto.Experimental.Builder.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) ConfigProto.Experimental.Builder.mergeFrom(ConfigProto.Experimental other) ConfigProto.Experimental.Builder.mergeSessionMetadata(SessionMetadata value) Metadata about the session.ConfigProto.Experimental.Builder.mergeUnknownFields(UnknownFieldSet unknownFields) ConfigProto.Experimental.newBuilder()ConfigProto.Experimental.newBuilder(ConfigProto.Experimental prototype) ConfigProto.Experimental.newBuilderForType()protected ConfigProto.Experimental.BuilderConfigProto.Experimental.newBuilderForType(GeneratedMessageV3.BuilderParent parent) ConfigProto.Experimental.Builder.setBackendServerPort(int value) Port for the Pathways server.ConfigProto.Experimental.Builder.setCollectiveDeterministicSequentialExecution(boolean value) If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.ConfigProto.Experimental.Builder.setCollectiveGroupLeader(String value) Task name for group resolution.ConfigProto.Experimental.Builder.setCollectiveGroupLeaderBytes(ByteString value) Task name for group resolution.ConfigProto.Experimental.Builder.setCollectiveNccl(boolean value) If true, use NCCL for CollectiveOps.ConfigProto.Experimental.Builder.setCoordinationConfig(CoordinationConfig.CoordinationServiceConfig value) Distributed coordination service configurations.ConfigProto.Experimental.Builder.setCoordinationConfig(CoordinationConfig.CoordinationServiceConfig.Builder builderForValue) Distributed coordination service configurations.ConfigProto.Experimental.Builder.setDisableEagerExecutorStreamingEnqueue(boolean value) Whether eager remote execution will stream all the function calls or allow them to happen in parallel.ConfigProto.Experimental.Builder.setDisableFunctionalOpsLowering(boolean value) Whether functional control flow op lowering should be disabled.ConfigProto.Experimental.Builder.setDisableOptimizeForStaticGraph(boolean value) If true, the session will treat the graph as being non-static for optimization purposes.ConfigProto.Experimental.Builder.setDisableOutputPartitionGraphs(boolean value) If true, the session will not store an additional copy of the graph for each subgraph.ConfigProto.Experimental.Builder.setDisableThreadSpinning(boolean value) If using a direct session, disable spinning while waiting for work in the thread pool.ConfigProto.Experimental.Builder.setEnableMlirBridge(boolean value) Whether to enable the MLIR-based TF->XLA bridge.ConfigProto.Experimental.Builder.setEnableMlirGraphOptimization(boolean value) Whether to enable the MLIR-based Graph optimizations.ConfigProto.Experimental.Builder.setEnableMultiHost(boolean value) If true, use Pathways with TFRT API for multi host support.ConfigProto.Experimental.Builder.setExecutorType(String value) Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"ConfigProto.Experimental.Builder.setExecutorTypeBytes(ByteString value) Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"ConfigProto.Experimental.Builder.setField(Descriptors.FieldDescriptor field, Object value) ConfigProto.Experimental.Builder.setMlirBridgeRollout(ConfigProto.Experimental.MlirBridgeRollout value) Whether to enable the MLIR-based TF->XLA bridge.ConfigProto.Experimental.Builder.setMlirBridgeRolloutValue(int value) Whether to enable the MLIR-based TF->XLA bridge.ConfigProto.Experimental.Builder.setOptimizeForStaticGraph(boolean value) If true, the session may treat the graph as being static for optimization purposes.ConfigProto.Experimental.Builder.setRecvBufMaxChunk(int value) Guidance to formatting of large RecvBuf fields for transfer.ConfigProto.Experimental.Builder.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value) ConfigProto.Experimental.Builder.setSessionMetadata(SessionMetadata value) Metadata about the session.ConfigProto.Experimental.Builder.setSessionMetadata(SessionMetadata.Builder builderForValue) Metadata about the session.ConfigProto.Experimental.Builder.setShareClusterDevicesInSession(boolean value) This was promoted to a non-experimental API.ConfigProto.Experimental.Builder.setShareSessionStateInClusterspecPropagation(boolean value) In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server.ConfigProto.Experimental.Builder.setStreamMergeThreshold(int value) The threshold to merge small streams in TFRT.ConfigProto.Experimental.Builder.setTargetGpu(boolean value) If true, TFRT will use GPU specific compiler passes and perform GPU specific initialization.ConfigProto.Experimental.Builder.setTargetTpu(boolean value) If true, TFRT will use TPU specific compiler passes and perform TPU specific initialization.ConfigProto.Experimental.Builder.setTfrtUseIfrt(boolean value) If true, use ifrt as the backend for TFRT.ConfigProto.Experimental.Builder.setUnknownFields(UnknownFieldSet unknownFields) ConfigProto.Experimental.Builder.setUseNumaAffinity(boolean value) If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.ConfigProto.Experimental.Builder.setUseTfrt(boolean value) Whether runtime execution uses TFRT.ConfigProto.Experimental.Builder.setXlaFusionAutotunerThresh(long value) Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.ConfigProto.Experimental.Builder.setXlaPreferSingleGraphCluster(boolean value) Provides a hint to XLA auto clustering to prefer forming a single large cluster that encompases most of the graph.ConfigProto.Experimental.toBuilder()Methods in org.tensorflow.proto with parameters of type ConfigProto.Experimental.BuilderModifier and TypeMethodDescriptionConfigProto.Builder.setExperimental(ConfigProto.Experimental.Builder builderForValue) .tensorflow.ConfigProto.Experimental experimental = 16;