Package org.platanios.tensorflow.proto

Class ConfigProto.Experimental.Builder

  • All Implemented Interfaces:
    com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, java.lang.Cloneable, ConfigProto.ExperimentalOrBuilder
    Enclosing class:
    ConfigProto.Experimental
    public static final class ConfigProto.Experimental.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Experimental.Builder>
implements ConfigProto.ExperimentalOrBuilder
     Everything inside Experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
    Protobuf type org.platanios.tensorflow.proto.ConfigProto.Experimental

    • Method Detail

      • getDescriptor

        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Experimental.Builder>

      • getDescriptorForType

        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Experimental.Builder>

      • getDefaultInstanceForType

        public ConfigProto.Experimental getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

      • build

        public ConfigProto.Experimental build()
        Specified by:
        build in interface com.google.protobuf.Message.Builder
        Specified by:
        build in interface com.google.protobuf.MessageLite.Builder

      • buildPartial

        public ConfigProto.Experimental buildPartial()
        Specified by:
        buildPartial in interface com.google.protobuf.Message.Builder
        Specified by:
        buildPartial in interface com.google.protobuf.MessageLite.Builder

      • setField

        public ConfigProto.Experimental.Builder setField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                 java.lang.Object value)
        Specified by:
        setField in interface com.google.protobuf.Message.Builder
        Overrides:
        setField in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Experimental.Builder>

      • setRepeatedField

        public ConfigProto.Experimental.Builder setRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                         int index,
                                                         java.lang.Object value)
        Specified by:
        setRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Experimental.Builder>

      • addRepeatedField

        public ConfigProto.Experimental.Builder addRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                         java.lang.Object value)
        Specified by:
        addRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Experimental.Builder>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Experimental.Builder>

      • mergeFrom

        public ConfigProto.Experimental.Builder mergeFrom​(com.google.protobuf.CodedInputStream input,
                                                  com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                           throws java.io.IOException
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Specified by:
        mergeFrom in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ConfigProto.Experimental.Builder>
        Throws:
        java.io.IOException

      • getCollectiveGroupLeaderBytes

        public com.google.protobuf.ByteString getCollectiveGroupLeaderBytes()
         Task name for group resolution.
        string collective_group_leader = 1;
        Specified by:
        getCollectiveGroupLeaderBytes in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The bytes for collectiveGroupLeader.

      • setCollectiveGroupLeader

        public ConfigProto.Experimental.Builder setCollectiveGroupLeader​(java.lang.String value)
         Task name for group resolution.
        string collective_group_leader = 1;
        Parameters:
        value - The collectiveGroupLeader to set.
        Returns:
        This builder for chaining.

      • clearCollectiveGroupLeader

        public ConfigProto.Experimental.Builder clearCollectiveGroupLeader()
         Task name for group resolution.
        string collective_group_leader = 1;
        Returns:
        This builder for chaining.

      • setCollectiveGroupLeaderBytes

        public ConfigProto.Experimental.Builder setCollectiveGroupLeaderBytes​(com.google.protobuf.ByteString value)
         Task name for group resolution.
        string collective_group_leader = 1;
        Parameters:
        value - The bytes for collectiveGroupLeader to set.
        Returns:
        This builder for chaining.

      • getExecutorType

        public java.lang.String getExecutorType()
         Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
        string executor_type = 3;
        Specified by:
        getExecutorType in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The executorType.

      • getExecutorTypeBytes

        public com.google.protobuf.ByteString getExecutorTypeBytes()
         Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
        string executor_type = 3;
        Specified by:
        getExecutorTypeBytes in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The bytes for executorType.

      • setExecutorType

        public ConfigProto.Experimental.Builder setExecutorType​(java.lang.String value)
         Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
        string executor_type = 3;
        Parameters:
        value - The executorType to set.
        Returns:
        This builder for chaining.

      • clearExecutorType

        public ConfigProto.Experimental.Builder clearExecutorType()
         Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
        string executor_type = 3;
        Returns:
        This builder for chaining.

      • setExecutorTypeBytes

        public 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"
        string executor_type = 3;
        Parameters:
        value - The bytes for executorType to set.
        Returns:
        This builder for chaining.

      • getRecvBufMaxChunk

        public int getRecvBufMaxChunk()
         Guidance to formatting of large RecvBuf fields for transfer.
 Any positive value sets the max chunk size.  0 defaults to 4096.
 Any negative value indicates no max, i.e. one chunk only.
        int32 recv_buf_max_chunk = 4;
        Specified by:
        getRecvBufMaxChunk in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The recvBufMaxChunk.

      • setRecvBufMaxChunk

        public ConfigProto.Experimental.Builder setRecvBufMaxChunk​(int value)
         Guidance to formatting of large RecvBuf fields for transfer.
 Any positive value sets the max chunk size.  0 defaults to 4096.
 Any negative value indicates no max, i.e. one chunk only.
        int32 recv_buf_max_chunk = 4;
        Parameters:
        value - The recvBufMaxChunk to set.
        Returns:
        This builder for chaining.

      • clearRecvBufMaxChunk

        public ConfigProto.Experimental.Builder clearRecvBufMaxChunk()
         Guidance to formatting of large RecvBuf fields for transfer.
 Any positive value sets the max chunk size.  0 defaults to 4096.
 Any negative value indicates no max, i.e. one chunk only.
        int32 recv_buf_max_chunk = 4;
        Returns:
        This builder for chaining.

      • getUseNumaAffinity

        public boolean getUseNumaAffinity()
         If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.  One consequence will be the
 existence of as many CPU devices as there are available NUMA nodes.
        bool use_numa_affinity = 5;
        Specified by:
        getUseNumaAffinity in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The useNumaAffinity.

      • setUseNumaAffinity

        public ConfigProto.Experimental.Builder setUseNumaAffinity​(boolean value)
         If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.  One consequence will be the
 existence of as many CPU devices as there are available NUMA nodes.
        bool use_numa_affinity = 5;
        Parameters:
        value - The useNumaAffinity to set.
        Returns:
        This builder for chaining.

      • clearUseNumaAffinity

        public ConfigProto.Experimental.Builder clearUseNumaAffinity()
         If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.  One consequence will be the
 existence of as many CPU devices as there are available NUMA nodes.
        bool use_numa_affinity = 5;
        Returns:
        This builder for chaining.

      • getCollectiveDeterministicSequentialExecution

        public boolean getCollectiveDeterministicSequentialExecution()
         If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
        bool collective_deterministic_sequential_execution = 6;
        Specified by:
        getCollectiveDeterministicSequentialExecution in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The collectiveDeterministicSequentialExecution.

      • setCollectiveDeterministicSequentialExecution

        public ConfigProto.Experimental.Builder setCollectiveDeterministicSequentialExecution​(boolean value)
         If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
        bool collective_deterministic_sequential_execution = 6;
        Parameters:
        value - The collectiveDeterministicSequentialExecution to set.
        Returns:
        This builder for chaining.

      • clearCollectiveDeterministicSequentialExecution

        public ConfigProto.Experimental.Builder clearCollectiveDeterministicSequentialExecution()
         If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
        bool collective_deterministic_sequential_execution = 6;
        Returns:
        This builder for chaining.

      • getCollectiveNccl

        public boolean getCollectiveNccl()
         If true, use NCCL for CollectiveOps.  This feature is highly
 experimental.
        bool collective_nccl = 7;
        Specified by:
        getCollectiveNccl in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The collectiveNccl.

      • setCollectiveNccl

        public ConfigProto.Experimental.Builder setCollectiveNccl​(boolean value)
         If true, use NCCL for CollectiveOps.  This feature is highly
 experimental.
        bool collective_nccl = 7;
        Parameters:
        value - The collectiveNccl to set.
        Returns:
        This builder for chaining.

      • clearCollectiveNccl

        public ConfigProto.Experimental.Builder clearCollectiveNccl()
         If true, use NCCL for CollectiveOps.  This feature is highly
 experimental.
        bool collective_nccl = 7;
        Returns:
        This builder for chaining.

      • getShareSessionStateInClusterspecPropagation

        public boolean getShareSessionStateInClusterspecPropagation()
         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.
 When ClusterSpec propagation is enabled, the value of
 isolate_session_state is ignored when deciding whether to share session
 states in a TF server (for backwards compatibility reasons).
 - If share_session_state_in_clusterspec_propagation is true, the session
 states are shared.
 - If share_session_state_in_clusterspec_propagation is false, session
 states are isolated.
 When clusterspec propagation is not used, the value of
 share_session_state_in_clusterspec_propagation is ignored when deciding
 whether to share session states in a TF server.
 - If isolate_session_state is true, session states are isolated.
 - If isolate_session_state is false, session states are shared.
 TODO(b/129330037): Add a single API that consistently treats
 isolate_session_state and ClusterSpec propagation.
        bool share_session_state_in_clusterspec_propagation = 8;
        Specified by:
        getShareSessionStateInClusterspecPropagation in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The shareSessionStateInClusterspecPropagation.

      • setShareSessionStateInClusterspecPropagation

        public 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.
 When ClusterSpec propagation is enabled, the value of
 isolate_session_state is ignored when deciding whether to share session
 states in a TF server (for backwards compatibility reasons).
 - If share_session_state_in_clusterspec_propagation is true, the session
 states are shared.
 - If share_session_state_in_clusterspec_propagation is false, session
 states are isolated.
 When clusterspec propagation is not used, the value of
 share_session_state_in_clusterspec_propagation is ignored when deciding
 whether to share session states in a TF server.
 - If isolate_session_state is true, session states are isolated.
 - If isolate_session_state is false, session states are shared.
 TODO(b/129330037): Add a single API that consistently treats
 isolate_session_state and ClusterSpec propagation.
        bool share_session_state_in_clusterspec_propagation = 8;
        Parameters:
        value - The shareSessionStateInClusterspecPropagation to set.
        Returns:
        This builder for chaining.

      • clearShareSessionStateInClusterspecPropagation

        public 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.
 When ClusterSpec propagation is enabled, the value of
 isolate_session_state is ignored when deciding whether to share session
 states in a TF server (for backwards compatibility reasons).
 - If share_session_state_in_clusterspec_propagation is true, the session
 states are shared.
 - If share_session_state_in_clusterspec_propagation is false, session
 states are isolated.
 When clusterspec propagation is not used, the value of
 share_session_state_in_clusterspec_propagation is ignored when deciding
 whether to share session states in a TF server.
 - If isolate_session_state is true, session states are isolated.
 - If isolate_session_state is false, session states are shared.
 TODO(b/129330037): Add a single API that consistently treats
 isolate_session_state and ClusterSpec propagation.
        bool share_session_state_in_clusterspec_propagation = 8;
        Returns:
        This builder for chaining.

      • getDisableThreadSpinning

        public boolean getDisableThreadSpinning()
         If using a direct session, disable spinning while waiting for work in
 the thread pool. This may result in higher latency for completing ops,
 but in the case where there is a lot of spinning may result in lower
 CPU usage.
        bool disable_thread_spinning = 9;
        Specified by:
        getDisableThreadSpinning in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The disableThreadSpinning.

      • setDisableThreadSpinning

        public ConfigProto.Experimental.Builder setDisableThreadSpinning​(boolean value)
         If using a direct session, disable spinning while waiting for work in
 the thread pool. This may result in higher latency for completing ops,
 but in the case where there is a lot of spinning may result in lower
 CPU usage.
        bool disable_thread_spinning = 9;
        Parameters:
        value - The disableThreadSpinning to set.
        Returns:
        This builder for chaining.

      • clearDisableThreadSpinning

        public ConfigProto.Experimental.Builder clearDisableThreadSpinning()
         If using a direct session, disable spinning while waiting for work in
 the thread pool. This may result in higher latency for completing ops,
 but in the case where there is a lot of spinning may result in lower
 CPU usage.
        bool disable_thread_spinning = 9;
        Returns:
        This builder for chaining.

      • getShareClusterDevicesInSession

        public boolean getShareClusterDevicesInSession()
         This was promoted to a non-experimental API. Please use
 ConfigProto.share_cluster_devices_in_session instead.
        bool share_cluster_devices_in_session = 10;
        Specified by:
        getShareClusterDevicesInSession in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The shareClusterDevicesInSession.

      • setShareClusterDevicesInSession

        public ConfigProto.Experimental.Builder setShareClusterDevicesInSession​(boolean value)
         This was promoted to a non-experimental API. Please use
 ConfigProto.share_cluster_devices_in_session instead.
        bool share_cluster_devices_in_session = 10;
        Parameters:
        value - The shareClusterDevicesInSession to set.
        Returns:
        This builder for chaining.

      • clearShareClusterDevicesInSession

        public ConfigProto.Experimental.Builder clearShareClusterDevicesInSession()
         This was promoted to a non-experimental API. Please use
 ConfigProto.share_cluster_devices_in_session instead.
        bool share_cluster_devices_in_session = 10;
        Returns:
        This builder for chaining.

      • hasSessionMetadata

        public boolean hasSessionMetadata()
         Metadata about the session.
 If set, this can be used by the runtime and the Ops for debugging,
 monitoring, etc.
 NOTE: This is currently used and propagated only by the direct session.
        .org.platanios.tensorflow.proto.SessionMetadata session_metadata = 11;
        Specified by:
        hasSessionMetadata in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        Whether the sessionMetadata field is set.

      • getSessionMetadata

        public SessionMetadata getSessionMetadata()
         Metadata about the session.
 If set, this can be used by the runtime and the Ops for debugging,
 monitoring, etc.
 NOTE: This is currently used and propagated only by the direct session.
        .org.platanios.tensorflow.proto.SessionMetadata session_metadata = 11;
        Specified by:
        getSessionMetadata in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The sessionMetadata.

      • setSessionMetadata

        public ConfigProto.Experimental.Builder setSessionMetadata​(SessionMetadata value)
         Metadata about the session.
 If set, this can be used by the runtime and the Ops for debugging,
 monitoring, etc.
 NOTE: This is currently used and propagated only by the direct session.
        .org.platanios.tensorflow.proto.SessionMetadata session_metadata = 11;

      • setSessionMetadata

        public ConfigProto.Experimental.Builder setSessionMetadata​(SessionMetadata.Builder builderForValue)
         Metadata about the session.
 If set, this can be used by the runtime and the Ops for debugging,
 monitoring, etc.
 NOTE: This is currently used and propagated only by the direct session.
        .org.platanios.tensorflow.proto.SessionMetadata session_metadata = 11;

      • mergeSessionMetadata

        public ConfigProto.Experimental.Builder mergeSessionMetadata​(SessionMetadata value)
         Metadata about the session.
 If set, this can be used by the runtime and the Ops for debugging,
 monitoring, etc.
 NOTE: This is currently used and propagated only by the direct session.
        .org.platanios.tensorflow.proto.SessionMetadata session_metadata = 11;

      • clearSessionMetadata

        public ConfigProto.Experimental.Builder clearSessionMetadata()
         Metadata about the session.
 If set, this can be used by the runtime and the Ops for debugging,
 monitoring, etc.
 NOTE: This is currently used and propagated only by the direct session.
        .org.platanios.tensorflow.proto.SessionMetadata session_metadata = 11;

      • getSessionMetadataBuilder

        public SessionMetadata.Builder getSessionMetadataBuilder()
         Metadata about the session.
 If set, this can be used by the runtime and the Ops for debugging,
 monitoring, etc.
 NOTE: This is currently used and propagated only by the direct session.
        .org.platanios.tensorflow.proto.SessionMetadata session_metadata = 11;

      • getSessionMetadataOrBuilder

        public SessionMetadataOrBuilder getSessionMetadataOrBuilder()
         Metadata about the session.
 If set, this can be used by the runtime and the Ops for debugging,
 monitoring, etc.
 NOTE: This is currently used and propagated only by the direct session.
        .org.platanios.tensorflow.proto.SessionMetadata session_metadata = 11;
        Specified by:
        getSessionMetadataOrBuilder in interface ConfigProto.ExperimentalOrBuilder

      • getOptimizeForStaticGraph

        public boolean getOptimizeForStaticGraph()
         If true, the session may treat the graph as being static for optimization
 purposes.
 If this option is set to true when a session is created, the full
 GraphDef must be passed in a single call to Session::Create(), and
 Session::Extend() may not be supported.
        bool optimize_for_static_graph = 12;
        Specified by:
        getOptimizeForStaticGraph in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The optimizeForStaticGraph.

      • setOptimizeForStaticGraph

        public ConfigProto.Experimental.Builder setOptimizeForStaticGraph​(boolean value)
         If true, the session may treat the graph as being static for optimization
 purposes.
 If this option is set to true when a session is created, the full
 GraphDef must be passed in a single call to Session::Create(), and
 Session::Extend() may not be supported.
        bool optimize_for_static_graph = 12;
        Parameters:
        value - The optimizeForStaticGraph to set.
        Returns:
        This builder for chaining.

      • clearOptimizeForStaticGraph

        public ConfigProto.Experimental.Builder clearOptimizeForStaticGraph()
         If true, the session may treat the graph as being static for optimization
 purposes.
 If this option is set to true when a session is created, the full
 GraphDef must be passed in a single call to Session::Create(), and
 Session::Extend() may not be supported.
        bool optimize_for_static_graph = 12;
        Returns:
        This builder for chaining.

      • getEnableMlirBridge

        public boolean getEnableMlirBridge()
         Whether to enable the MLIR-based TF->XLA bridge.
 This is a replacement to the existing bridge, and not ready for
 production usage yet.
 If this option is set to true when a session is created, MLIR is used to
 perform the set of graph transformations to put the graph in a form that
 can be executed with delegation of some computations to an accelerator.
 This builds on the model of XLA where a subset of the graph is
 encapsulated and attached to a "compile" operation, whose result is fed
 to an "execute" operation. The kernel for these operations is responsible
 to lower the encapsulated graph to a particular device.
        bool enable_mlir_bridge = 13;
        Specified by:
        getEnableMlirBridge in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The enableMlirBridge.

      • setEnableMlirBridge

        public ConfigProto.Experimental.Builder setEnableMlirBridge​(boolean value)
         Whether to enable the MLIR-based TF->XLA bridge.
 This is a replacement to the existing bridge, and not ready for
 production usage yet.
 If this option is set to true when a session is created, MLIR is used to
 perform the set of graph transformations to put the graph in a form that
 can be executed with delegation of some computations to an accelerator.
 This builds on the model of XLA where a subset of the graph is
 encapsulated and attached to a "compile" operation, whose result is fed
 to an "execute" operation. The kernel for these operations is responsible
 to lower the encapsulated graph to a particular device.
        bool enable_mlir_bridge = 13;
        Parameters:
        value - The enableMlirBridge to set.
        Returns:
        This builder for chaining.

      • clearEnableMlirBridge

        public ConfigProto.Experimental.Builder clearEnableMlirBridge()
         Whether to enable the MLIR-based TF->XLA bridge.
 This is a replacement to the existing bridge, and not ready for
 production usage yet.
 If this option is set to true when a session is created, MLIR is used to
 perform the set of graph transformations to put the graph in a form that
 can be executed with delegation of some computations to an accelerator.
 This builds on the model of XLA where a subset of the graph is
 encapsulated and attached to a "compile" operation, whose result is fed
 to an "execute" operation. The kernel for these operations is responsible
 to lower the encapsulated graph to a particular device.
        bool enable_mlir_bridge = 13;
        Returns:
        This builder for chaining.

      • getEnableMlirGraphOptimization

        public boolean getEnableMlirGraphOptimization()
         Whether to enable the MLIR-based Graph optimizations.
 This will become a part of standard Tensorflow graph optimization
 pipeline, currently this is only used for gradual migration and testing
 new passes that are replacing existing optimizations in Grappler.
        bool enable_mlir_graph_optimization = 16;
        Specified by:
        getEnableMlirGraphOptimization in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The enableMlirGraphOptimization.

      • setEnableMlirGraphOptimization

        public ConfigProto.Experimental.Builder setEnableMlirGraphOptimization​(boolean value)
         Whether to enable the MLIR-based Graph optimizations.
 This will become a part of standard Tensorflow graph optimization
 pipeline, currently this is only used for gradual migration and testing
 new passes that are replacing existing optimizations in Grappler.
        bool enable_mlir_graph_optimization = 16;
        Parameters:
        value - The enableMlirGraphOptimization to set.
        Returns:
        This builder for chaining.

      • clearEnableMlirGraphOptimization

        public ConfigProto.Experimental.Builder clearEnableMlirGraphOptimization()
         Whether to enable the MLIR-based Graph optimizations.
 This will become a part of standard Tensorflow graph optimization
 pipeline, currently this is only used for gradual migration and testing
 new passes that are replacing existing optimizations in Grappler.
        bool enable_mlir_graph_optimization = 16;
        Returns:
        This builder for chaining.

      • getDisableOutputPartitionGraphs

        public boolean getDisableOutputPartitionGraphs()
         If true, the session will not store an additional copy of the graph for
 each subgraph.
 If this option is set to true when a session is created, the
 `RunOptions.output_partition_graphs` options must not be set.
        bool disable_output_partition_graphs = 14;
        Specified by:
        getDisableOutputPartitionGraphs in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The disableOutputPartitionGraphs.

      • setDisableOutputPartitionGraphs

        public ConfigProto.Experimental.Builder setDisableOutputPartitionGraphs​(boolean value)
         If true, the session will not store an additional copy of the graph for
 each subgraph.
 If this option is set to true when a session is created, the
 `RunOptions.output_partition_graphs` options must not be set.
        bool disable_output_partition_graphs = 14;
        Parameters:
        value - The disableOutputPartitionGraphs to set.
        Returns:
        This builder for chaining.

      • clearDisableOutputPartitionGraphs

        public ConfigProto.Experimental.Builder clearDisableOutputPartitionGraphs()
         If true, the session will not store an additional copy of the graph for
 each subgraph.
 If this option is set to true when a session is created, the
 `RunOptions.output_partition_graphs` options must not be set.
        bool disable_output_partition_graphs = 14;
        Returns:
        This builder for chaining.

      • getXlaFusionAutotunerThresh

        public long getXlaFusionAutotunerThresh()
         Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled. Default value of zero disables the autotuner.
 The XLA fusion autotuner can improve performance by executing a heuristic
 search on the compiler parameters.
        int64 xla_fusion_autotuner_thresh = 15;
        Specified by:
        getXlaFusionAutotunerThresh in interface ConfigProto.ExperimentalOrBuilder
        Returns:
        The xlaFusionAutotunerThresh.

      • setXlaFusionAutotunerThresh

        public ConfigProto.Experimental.Builder setXlaFusionAutotunerThresh​(long value)
         Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled. Default value of zero disables the autotuner.
 The XLA fusion autotuner can improve performance by executing a heuristic
 search on the compiler parameters.
        int64 xla_fusion_autotuner_thresh = 15;
        Parameters:
        value - The xlaFusionAutotunerThresh to set.
        Returns:
        This builder for chaining.

      • clearXlaFusionAutotunerThresh

        public ConfigProto.Experimental.Builder clearXlaFusionAutotunerThresh()
         Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled. Default value of zero disables the autotuner.
 The XLA fusion autotuner can improve performance by executing a heuristic
 search on the compiler parameters.
        int64 xla_fusion_autotuner_thresh = 15;
        Returns:
        This builder for chaining.

      • setUnknownFields

        public final ConfigProto.Experimental.Builder setUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Experimental.Builder>

      • mergeUnknownFields

        public final ConfigProto.Experimental.Builder mergeUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Experimental.Builder>