ConfigProto.Experimental.Builder

パブリック静的最終クラスConfigProto.Experimental.Builder

 Everything inside Experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
 
Protobuf 型tensorflow.ConfigProto.Experimental

パブリックメソッド

ConfigProto.Experimental.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、オブジェクト値)
ConfigProto.Experimental
建てる()
ConfigProto.Experimental
ConfigProto.Experimental.Builder
クリア()
ConfigProto.Experimental.Builder
clearCollectiveDeterministicSequentialExecution ()
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
ConfigProto.Experimental.Builder
クリアコレクティブグループリーダー()
 Task name for group resolution.
ConfigProto.Experimental.Builder
クリアコレクティブNccl ()
 If true, use NCCL for CollectiveOps.
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 ()
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
ConfigProto.Experimental.Builder
clearEnableMlirGraphOptimization ()
 Whether to enable the MLIR-based Graph optimizations.
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;
ConfigProto.Experimental.Builder
clearField (com.google.protobuf.Descriptors.FieldDescriptor フィールド)
ConfigProto.Experimental.Builder
クリアMlirBridgeロールアウト()
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
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
クリアセッションメタデータ()
 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
ClearUseNumaAffinity ()
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
ConfigProto.Experimental.Builder
clearXlaFusionAutotunerThresh ()
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.
ConfigProto.Experimental.Builder
ブール値
getCollectiveDeterministicSequentialExecution ()
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
getCollectiveGroupLeader ()
 Task name for group resolution.
com.google.protobuf.ByteString
getCollectiveGroupLeaderBytes ()
 Task name for group resolution.
ブール値
getCollectiveNccl ()
 If true, use NCCL for CollectiveOps.
ConfigProto.Experimental
最終的な静的 com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
ブール値
getDisableOutputPartitionGraphs ()
 If true, the session will not store an additional copy of the graph for
 each subgraph.
ブール値
getDisableThreadSpinning ()
 If using a direct session, disable spinning while waiting for work in
 the thread pool.
ブール値
getEnableMlirBridge ()
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
ブール値
getEnableMlirGraphOptimization ()
 Whether to enable the MLIR-based Graph optimizations.
getExecutorType ()
 Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
 
string executor_type = 3;
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;
ConfigProto.Experimental.MlirBridgeRollout
getMlirBridgeRollout ()
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
整数
getMlirBridgeRolloutValue ()
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
ブール値
getOptimizeForStaticGraph ()
 If true, the session may treat the graph as being static for optimization
 purposes.
整数
getRecvBufMaxChunk ()
 Guidance to formatting of large RecvBuf fields for transfer.
セッションメタデータ
getSessionMetadata ()
 Metadata about the session.
セッションメタデータ.ビルダー
getSessionMetadataBuilder ()
 Metadata about the session.
セッションメタデータまたはビルダー
getSessionMetadataOrBuilder ()
 Metadata about the session.
ブール値
getShareClusterDevicesInSession ()
 This was promoted to a non-experimental API.
ブール値
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.
ブール値
getUseNumaAffinity ()
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
長さ
getXlaFusionAutotunerThresh ()
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.
ブール値
hasSessionMetadata ()
 Metadata about the session.
最終ブール値
ConfigProto.Experimental.Builder
mergeFrom (com.google.protobuf.Message other)
ConfigProto.Experimental.Builder
mergeFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto.Experimental.Builder
mergeSessionMetadata ( SessionMetadata値)
 Metadata about the session.
最終的なConfigProto.Experimental.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet 不明フィールド)
ConfigProto.Experimental.Builder
setCollectiveDeterministicSequentialExecution (ブール値)
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
ConfigProto.Experimental.Builder
setCollectiveGroupLeader (文字列値)
 Task name for group resolution.
ConfigProto.Experimental.Builder
setCollectiveGroupLeaderBytes (com.google.protobuf.ByteString 値)
 Task name for group resolution.
ConfigProto.Experimental.Builder
setCollectiveNccl (ブール値)
 If true, use NCCL for CollectiveOps.
ConfigProto.Experimental.Builder
setDisableOutputPartitionGraphs (ブール値)
 If true, the session will not store an additional copy of the graph for
 each subgraph.
ConfigProto.Experimental.Builder
setDisableThreadSpinning (ブール値)
 If using a direct session, disable spinning while waiting for work in
 the thread pool.
ConfigProto.Experimental.Builder
setEnableMlirBridge (ブール値)
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
ConfigProto.Experimental.Builder
setEnableMlirGraphOptimization (ブール値)
 Whether to enable the MLIR-based Graph optimizations.
ConfigProto.Experimental.Builder
setExecutorType (文字列値)
 Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
 
string executor_type = 3;
ConfigProto.Experimental.Builder
setExecutorTypeBytes (com.google.protobuf.ByteString 値)
 Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
 
string executor_type = 3;
ConfigProto.Experimental.Builder
setField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、オブジェクト値)
ConfigProto.Experimental.Builder
setMlirBridgeRollout ( ConfigProto.Experimental.MlirBridgeRollout値)
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
ConfigProto.Experimental.Builder
setMlirBridgeRolloutValue (int 値)
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
ConfigProto.Experimental.Builder
setOptimizeForStaticGraph (ブール値)
 If true, the session may treat the graph as being static for optimization
 purposes.
ConfigProto.Experimental.Builder
setRecvBufMaxChunk (int 値)
 Guidance to formatting of large RecvBuf fields for transfer.
ConfigProto.Experimental.Builder
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、int インデックス、オブジェクト値)
ConfigProto.Experimental.Builder
setSessionMetadata (セッションメタデータ値)
 Metadata about the session.
ConfigProto.Experimental.Builder
setSessionMetadata ( SessionMetadata.Builder builderForValue)
 Metadata about the session.
ConfigProto.Experimental.Builder
setShareClusterDevicesInSession (ブール値)
 This was promoted to a non-experimental API.
ConfigProto.Experimental.Builder
setShareSessionStateInClusterspecPropagation (ブール値)
 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.
最終的なConfigProto.Experimental.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
ConfigProto.Experimental.Builder
setUseNumaAffinity (ブール値)
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
ConfigProto.Experimental.Builder
setXlaFusionAutotunerThresh (長い値)
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.

継承されたメソッド

パブリックメソッド

public ConfigProto.Experimental.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、オブジェクト値)

public ConfigProto.Experimentalビルド()

public ConfigProto.Experimental buildPartial ()

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;

public ConfigProto.Experimental.Builder ClearCollectiveGroupLeader ()

 Task name for group resolution.
 
string collective_group_leader = 1;

public ConfigProto.Experimental.Builder clearCollectiveNccl ()

 If true, use NCCL for CollectiveOps.  This feature is highly
 experimental.
 
bool collective_nccl = 7;

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;

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;

public ConfigProto.Experimental.Builder clearEnableMlirBridge ()

 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
 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;

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;

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;

public ConfigProto.Experimental.Builder clearField (com.google.protobuf.Descriptors.FieldDescriptor フィールド)

public ConfigProto.Experimental.Builder clearMlirBridgeRollout ()

 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
 Whether to enable the MLIR-based TF->XLA bridge.
 
.tensorflow.ConfigProto.Experimental.MlirBridgeRollout mlir_bridge_rollout = 17;

public ConfigProto.Experimental.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

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;

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;

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.
 
.tensorflow.SessionMetadata session_metadata = 11;

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;

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;

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;

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;

public ConfigProto.Experimental.Builderクローン()

public boolean getCollectiveDeterministicSequentialExecution ()

 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
 
bool collective_deterministic_sequential_execution = 6;

public String getCollectiveGroupLeader ()

 Task name for group resolution.
 
string collective_group_leader = 1;

public com.google.protobuf.ByteString getCollectiveGroupLeaderBytes ()

 Task name for group resolution.
 
string collective_group_leader = 1;

public boolean getCollectiveNccl ()

 If true, use NCCL for CollectiveOps.  This feature is highly
 experimental.
 
bool collective_nccl = 7;

public ConfigProto.Experimental getDefaultInstanceForType ()

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

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

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;

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;

public boolean getEnableMlirBridge ()

 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
 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;

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;

public String getExecutorType ()

 Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
 
string executor_type = 3;

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;

public ConfigProto.Experimental.MlirBridgeRollout getMlirBridgeRollout ()

 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
 Whether to enable the MLIR-based TF->XLA bridge.
 
.tensorflow.ConfigProto.Experimental.MlirBridgeRollout mlir_bridge_rollout = 17;

public int getMlirBridgeRolloutValue ()

 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
 Whether to enable the MLIR-based TF->XLA bridge.
 
.tensorflow.ConfigProto.Experimental.MlirBridgeRollout mlir_bridge_rollout = 17;

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;

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;

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.
 
.tensorflow.SessionMetadata session_metadata = 11;

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.
 
.tensorflow.SessionMetadata session_metadata = 11;

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.
 
.tensorflow.SessionMetadata session_metadata = 11;

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;

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;

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;

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;

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.
 
.tensorflow.SessionMetadata session_metadata = 11;

パブリック最終ブール値isInitialized ()

public ConfigProto.Experimental.Builder mergeFrom (com.google.protobuf.Message other)

public ConfigProto.Experimental.Builder mergeFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
IO例外

public ConfigProto.Experimental.Builder mergeSessionMetadata ( SessionMetadata値)

 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.
 
.tensorflow.SessionMetadata session_metadata = 11;

public Final ConfigProto.Experimental.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet knownFields)

public ConfigProto.Experimental.Builder setCollectiveDeterministicSequentialExecution (ブール値)

 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
 
bool collective_deterministic_sequential_execution = 6;

public ConfigProto.Experimental.Builder setCollectiveGroupLeader (文字列値)

 Task name for group resolution.
 
string collective_group_leader = 1;

public ConfigProto.Experimental.Builder setCollectiveGroupLeaderBytes (com.google.protobuf.ByteString 値)

 Task name for group resolution.
 
string collective_group_leader = 1;

public ConfigProto.Experimental.Builder setCollectiveNccl (ブール値)

 If true, use NCCL for CollectiveOps.  This feature is highly
 experimental.
 
bool collective_nccl = 7;

public ConfigProto.Experimental.Builder setDisableOutputPartitionGraphs (ブール値)

 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;

public ConfigProto.Experimental.Builder setDisableThreadSpinning (ブール値)

 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;

public ConfigProto.Experimental.Builder setEnableMlirBridge (ブール値)

 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
 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;

public ConfigProto.Experimental.Builder setEnableMlirGraphOptimization (ブール値)

 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;

public ConfigProto.Experimental.Builder setExecutorType (文字列値)

 Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
 
string executor_type = 3;

public ConfigProto.Experimental.Builder setExecutorTypeBytes (com.google.protobuf.ByteString 値)

 Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
 
string executor_type = 3;

public ConfigProto.Experimental.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、オブジェクト値)

public ConfigProto.Experimental.Builder setMlirBridgeRollout ( ConfigProto.Experimental.MlirBridgeRollout値)

 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
 Whether to enable the MLIR-based TF->XLA bridge.
 
.tensorflow.ConfigProto.Experimental.MlirBridgeRollout mlir_bridge_rollout = 17;

public ConfigProto.Experimental.Builder setMlirBridgeRolloutValue (int 値)

 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
 Whether to enable the MLIR-based TF->XLA bridge.
 
.tensorflow.ConfigProto.Experimental.MlirBridgeRollout mlir_bridge_rollout = 17;

public ConfigProto.Experimental.Builder setOptimizeForStaticGraph (ブール値)

 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;

public ConfigProto.Experimental.Builder setRecvBufMaxChunk (int 値)

 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;

public ConfigProto.Experimental.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、int インデックス、オブジェクト値)

public ConfigProto.Experimental.Builder setSessionMetadata ( SessionMetadata値)

 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.
 
.tensorflow.SessionMetadata session_metadata = 11;

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.
 
.tensorflow.SessionMetadata session_metadata = 11;

public ConfigProto.Experimental.Builder setShareClusterDevicesInSession (ブール値)

 This was promoted to a non-experimental API. Please use
 ConfigProto.share_cluster_devices_in_session instead.
 
bool share_cluster_devices_in_session = 10;

public ConfigProto.Experimental.Builder setShareSessionStateInClusterspecPropagation (ブール値)

 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;

public Final ConfigProto.Experimental.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet knownFields)

public ConfigProto.Experimental.Builder setUseNumaAffinity (ブール値)

 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;

public ConfigProto.Experimental.Builder setXlaFusionAutotunerThresh (長い値)

 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;