ConfigProto.Experimental.Builder

classe finale statique publique 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.
tensorflow.ConfigProto.Experimental de type Protobuf.ConfigProto.Experimental

Méthodes publiques

ConfigProto.Experimental.Builder
addRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
ConfigProto.Expérimental
construire ()
ConfigProto.Expérimental
buildPartial ()
ConfigProto.Experimental.Builder
clair ()
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
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 (champ com.google.protobuf.Descriptors.FieldDescriptor)
ConfigProto.Experimental.Builder
clearMlirBridgeRollout ()
 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
clearSessionMetadonnées ()
 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
cloner ()
booléen
getCollectiveDeterministicSequentialExecution ()
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
Chaîne
getCollectiveGroupLeader ()
 Task name for group resolution.
com.google.protobuf.ByteString
getCollectiveGroupLeaderBytes ()
 Task name for group resolution.
booléen
getCollectiveNccl ()
 If true, use NCCL for CollectiveOps.
ConfigProto.Expérimental
getDefaultInstanceForType ()
final statique com.google.protobuf.Descriptors.Descriptor
getDescripteur ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
booléen
getDisableOutputPartitionGraphs ()
 If true, the session will not store an additional copy of the graph for
 each subgraph.
booléen
getDisableThreadSpinning ()
 If using a direct session, disable spinning while waiting for work in
 the thread pool.
booléen
getEnableMlirBridge ()
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
booléen
getEnableMlirGraphOptimization ()
 Whether to enable the MLIR-based Graph optimizations.
Chaîne
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).
int
getMlirBridgeRolloutValue ()
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
booléen
getOptimizeForStaticGraph ()
 If true, the session may treat the graph as being static for optimization
 purposes.
int
getRecvBufMaxChunk ()
 Guidance to formatting of large RecvBuf fields for transfer.
Métadonnées de session
getSessionMetadata ()
 Metadata about the session.
SessionMetadata.Builder
getSessionMetadataBuilder ()
 Metadata about the session.
SessionMetadataOrBuilder
getSessionMetadataOrBuilder ()
 Metadata about the session.
booléen
getShareClusterDevicesInSession ()
 This was promoted to a non-experimental API.
booléen
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.
booléen
getUseNumaAffinity ()
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
long
getXlaFusionAutotunerThresh ()
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.
booléen
hasSessionMetadata ()
 Metadata about the session.
booléen final
estInitialisé ()
ConfigProto.Experimental.Builder
mergeFrom (com.google.protobuf.Message autre)
ConfigProto.Experimental.Builder
mergeFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto.Experimental.Builder
mergeSessionMetadata (valeur SessionMetadata )
 Metadata about the session.
final ConfigProto.Experimental.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields)
ConfigProto.Experimental.Builder
setCollectiveDeterministicSequentialExecution (valeur booléenne)
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
ConfigProto.Experimental.Builder
setCollectiveGroupLeader (valeur de chaîne)
 Task name for group resolution.
ConfigProto.Experimental.Builder
setCollectiveGroupLeaderBytes (valeur com.google.protobuf.ByteString)
 Task name for group resolution.
ConfigProto.Experimental.Builder
setCollectiveNccl (valeur booléenne)
 If true, use NCCL for CollectiveOps.
ConfigProto.Experimental.Builder
setDisableOutputPartitionGraphs (valeur booléenne)
 If true, the session will not store an additional copy of the graph for
 each subgraph.
ConfigProto.Experimental.Builder
setDisableThreadSpinning (valeur booléenne)
 If using a direct session, disable spinning while waiting for work in
 the thread pool.
ConfigProto.Experimental.Builder
setEnableMlirBridge (valeur booléenne)
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
ConfigProto.Experimental.Builder
setEnableMlirGraphOptimization (valeur booléenne)
 Whether to enable the MLIR-based Graph optimizations.
ConfigProto.Experimental.Builder
setExecutorType (valeur de chaîne)
 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 (valeur com.google.protobuf.ByteString)
 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 (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
ConfigProto.Experimental.Builder
setMlirBridgeRollout (valeur ConfigProto.Experimental.MlirBridgeRollout )
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
ConfigProto.Experimental.Builder
setMlirBridgeRolloutValue (valeur entière)
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
ConfigProto.Experimental.Builder
setOptimizeForStaticGraph (valeur booléenne)
 If true, the session may treat the graph as being static for optimization
 purposes.
ConfigProto.Experimental.Builder
setRecvBufMaxChunk (valeur entière)
 Guidance to formatting of large RecvBuf fields for transfer.
ConfigProto.Experimental.Builder
setRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet)
ConfigProto.Experimental.Builder
setSessionMetadata (valeur SessionMetadata )
 Metadata about the session.
ConfigProto.Experimental.Builder
setSessionMetadata ( SessionMetadata.Builder builderForValue)
 Metadata about the session.
ConfigProto.Experimental.Builder
setShareClusterDevicesInSession (valeur booléenne)
 This was promoted to a non-experimental API.
ConfigProto.Experimental.Builder
setShareSessionStateInClusterspecPropagation (valeur booléenne)
 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.
final ConfigProto.Experimental.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields)
ConfigProto.Experimental.Builder
setUseNumaAffinity (valeur booléenne)
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
ConfigProto.Experimental.Builder
setXlaFusionAutotunerThresh (valeur longue)
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.

Méthodes héritées

Méthodes publiques

public ConfigProto.Experimental.Builder addRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)

build public ConfigProto.Experimental ()

public ConfigProto.Experimental buildPartial ()

public ConfigProto.Experimental.Builder clear ()

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 (champ com.google.protobuf.Descriptors.FieldDescriptor)

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;

Clone public ConfigProto.Experimental.Builder ()

public booléen getCollectiveDeterministicSequentialExecution () 

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

chaîne publique 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 booléen getCollectiveNccl () 

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

public ConfigProto.Experimental getDefaultInstanceForType ()

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

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

public booléen 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 booléen 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 booléen 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 booléen 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;

chaîne publique 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 booléen 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 booléen 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 booléen 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 booléen 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 booléen 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;

public final booléen isInitialized ()

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

public ConfigProto.Experimental.Builder mergeFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés
IOException

public ConfigProto.Experimental.Builder mergeSessionMetadata (valeur SessionMetadata ) 

 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 unknownFields)

public ConfigProto.Experimental.Builder setCollectiveDeterministicSequentialExecution (valeur booléenne) 

 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 (valeur de chaîne) 

 Task name for group resolution.
string collective_group_leader = 1;

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

 Task name for group resolution.
string collective_group_leader = 1;

public ConfigProto.Experimental.Builder setCollectiveNccl (valeur booléenne) 

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

public ConfigProto.Experimental.Builder setDisableOutputPartitionGraphs (valeur booléenne) 

 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 (valeur booléenne) 

 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 (valeur booléenne) 

 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 (valeur booléenne) 

 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 (valeur de chaîne) 

 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 (valeur com.google.protobuf.ByteString) 

 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 (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)

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

 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 (valeur int) 

 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 (valeur booléenne) 

 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 (valeur int) 

 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 (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet)

public ConfigProto.Experimental.Builder setSessionMetadata (valeur SessionMetadata ) 

 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 (valeur booléenne) 

 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 (valeur booléenne) 

 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 unknownFields)

public ConfigProto.Experimental.Builder setUseNumaAffinity (valeur booléenne) 

 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 (valeur longue) 

 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;