Uses of Class
org.tensorflow.framework.ConfigProto.Experimental.Builder
Packages that use ConfigProto.Experimental.Builder
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Uses of ConfigProto.Experimental.Builder in org.tensorflow.framework
Methods in org.tensorflow.framework that return ConfigProto.Experimental.BuilderModifier and TypeMethodDescriptionConfigProto.Experimental.Builder.addRepeatedField(com.google.protobuf.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(com.google.protobuf.Descriptors.FieldDescriptor field) ConfigProto.Experimental.Builder.clearMlirBridgeRollout()Whether to enable the MLIR-based TF->XLA bridge.ConfigProto.Experimental.Builder.clearOneof(com.google.protobuf.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(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ConfigProto.Experimental.Builder.mergeFrom(com.google.protobuf.Message other) ConfigProto.Experimental.Builder.mergeFrom(ConfigProto.Experimental other) ConfigProto.Experimental.Builder.mergeSessionMetadata(SessionMetadata value) Metadata about the session.ConfigProto.Experimental.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) ConfigProto.Experimental.newBuilder()ConfigProto.Experimental.newBuilder(ConfigProto.Experimental prototype) ConfigProto.Experimental.newBuilderForType()protected ConfigProto.Experimental.BuilderConfigProto.Experimental.newBuilderForType(com.google.protobuf.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(com.google.protobuf.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(com.google.protobuf.ByteString value) Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"ConfigProto.Experimental.Builder.setField(com.google.protobuf.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(com.google.protobuf.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(com.google.protobuf.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.framework with parameters of type ConfigProto.Experimental.BuilderModifier and TypeMethodDescriptionConfigProto.Builder.setExperimental(ConfigProto.Experimental.Builder builderForValue) .tensorflow.ConfigProto.Experimental experimental = 16;