ConfigProto.Experimental.Builder

clase final estática pública 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 tipo tensorflow.ConfigProto.Experimental

Métodos públicos

ConfigProto.Experimental.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
ConfigProto.Experimental
ConfigProto.Experimental
ConfigProto.Experimental.Builder
claro ()
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
borrarEnableMlirBridge ()
 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 (campo com.google.protobuf.Descriptors.FieldDescriptor)
ConfigProto.Experimental.Builder
borrarMlirBridgeRollout ()
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
ConfigProto.Experimental.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor uno de)
ConfigProto.Experimental.Builder
clearOptimizeForStaticGraph ()
 If true, the session may treat the graph as being static for optimization
 purposes.
ConfigProto.Experimental.Builder
borrarRecvBufMaxChunk ()
 Guidance to formatting of large RecvBuf fields for transfer.
ConfigProto.Experimental.Builder
borrar metadatos de sesión ()
 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
clonar ()
booleano
getCollectiveDeterministicSequentialExecution ()
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
Cadena
getCollectiveGroupLeader ()
 Task name for group resolution.
com.google.protobuf.ByteString
getCollectiveGroupLeaderBytes ()
 Task name for group resolution.
booleano
getCollectiveNccl ()
 If true, use NCCL for CollectiveOps.
ConfigProto.Experimental
com.google.protobuf.Descriptors.Descriptor estático final
com.google.protobuf.Descriptors.Descriptor
booleano
getDisableOutputPartitionGraphs ()
 If true, the session will not store an additional copy of the graph for
 each subgraph.
booleano
getDisableThreadSpinning ()
 If using a direct session, disable spinning while waiting for work in
 the thread pool.
booleano
getEnableMlirBridge ()
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
booleano
getEnableMlirGraphOptimization ()
 Whether to enable the MLIR-based Graph optimizations.
Cadena
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).
En t
getMlirBridgeRolloutValue ()
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
booleano
getOptimizeForStaticGraph ()
 If true, the session may treat the graph as being static for optimization
 purposes.
En t
getRecvBufMaxChunk ()
 Guidance to formatting of large RecvBuf fields for transfer.
Metadatos de sesión
getSessionMetadata ()
 Metadata about the session.
SesiónMetadatos.Builder
getSessionMetadataBuilder ()
 Metadata about the session.
Metadatos de sesión o constructor
getSessionMetadataOrBuilder ()
 Metadata about the session.
booleano
getShareClusterDevicesInSession ()
 This was promoted to a non-experimental API.
booleano
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.
booleano
getUseNumaAffinity ()
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
largo
getXlaFusionAutotunerThresh ()
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.
booleano
hasSessionMetadata ()
 Metadata about the session.
booleano final
ConfigProto.Experimental.Builder
mergeFrom (com.google.protobuf.Message otro)
ConfigProto.Experimental.Builder
mergeFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
ConfigProto.Experimental.Builder
mergeSessionMetadata (valor de SessionMetadata )
 Metadata about the session.
ConfigProto.Experimental.Builder final
mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
ConfigProto.Experimental.Builder
setCollectiveDeterministicSequentialExecution (valor booleano)
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
ConfigProto.Experimental.Builder
setCollectiveGroupLeader (valor de cadena)
 Task name for group resolution.
ConfigProto.Experimental.Builder
setCollectiveGroupLeaderBytes (valor com.google.protobuf.ByteString)
 Task name for group resolution.
ConfigProto.Experimental.Builder
setCollectiveNccl (valor booleano)
 If true, use NCCL for CollectiveOps.
ConfigProto.Experimental.Builder
setDisableOutputPartitionGraphs (valor booleano)
 If true, the session will not store an additional copy of the graph for
 each subgraph.
ConfigProto.Experimental.Builder
setDisableThreadSpinning (valor booleano)
 If using a direct session, disable spinning while waiting for work in
 the thread pool.
ConfigProto.Experimental.Builder
setEnableMlirBridge (valor booleano)
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
ConfigProto.Experimental.Builder
setEnableMlirGraphOptimization (valor booleano)
 Whether to enable the MLIR-based Graph optimizations.
ConfigProto.Experimental.Builder
setExecutorType (valor de cadena)
 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 (valor 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 (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)
ConfigProto.Experimental.Builder
setMlirBridgeRollout (valor ConfigProto.Experimental.MlirBridgeRollout )
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
ConfigProto.Experimental.Builder
setMlirBridgeRolloutValue (valor int)
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
ConfigProto.Experimental.Builder
setOptimizeForStaticGraph (valor booleano)
 If true, the session may treat the graph as being static for optimization
 purposes.
ConfigProto.Experimental.Builder
setRecvBufMaxChunk (valor int)
 Guidance to formatting of large RecvBuf fields for transfer.
ConfigProto.Experimental.Builder
setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)
ConfigProto.Experimental.Builder
setSessionMetadata (valor de SessionMetadata )
 Metadata about the session.
ConfigProto.Experimental.Builder
setSessionMetadata ( SessionMetadata.Builder builderForValue)
 Metadata about the session.
ConfigProto.Experimental.Builder
setShareClusterDevicesInSession (valor booleano)
 This was promoted to a non-experimental API.
ConfigProto.Experimental.Builder
setShareSessionStateInClusterspecPropagation (valor booleano)
 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 final
setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)
ConfigProto.Experimental.Builder
setUseNumaAffinity (valor booleano)
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
ConfigProto.Experimental.Builder
setXlaFusionAutotunerThresh (valor largo)
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.

Métodos heredados

Métodos públicos

public ConfigProto.Experimental.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

configuración pública ConfigProto.Experimental ()

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;

público 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;

público 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;

público 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;

público ConfigProto.Experimental.Builder clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)

público 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;

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

público 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;

público 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;

público 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;

público 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;

público booleano getCollectiveDeterministicSequentialExecution ()

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

Cadena pública getCollectiveGroupLeader ()

 Task name for group resolution.
 
string collective_group_leader = 1;

público com.google.protobuf.ByteString getCollectiveGroupLeaderBytes ()

 Task name for group resolution.
 
string collective_group_leader = 1;

getCollectiveNccl público booleano ()

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

público ConfigProto.Experimental getDefaultInstanceForType ()

público estático final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

getDisableOutputPartitionGraphs booleano público ()

 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;

getDisableThreadSpinning booleano público ()

 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;

getEnableMlirBridge booleano público ()

 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;

getEnableMlirGraphOptimization booleano público ()

 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;

cadena pública getExecutorType ()

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

público 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;

público 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;

público 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;

getOptimizeForStaticGraph booleano público ()

 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;

público 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;

metadatos de sesión públicos getMetadata de sesión ()

 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;

público 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;

sesión públicaMetadataOrBuilder 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;

público booleano 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;

público booleano 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;

getUseNumaAffinity booleano público ()

 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;

getXlaFusionAutotunerThresh público largo ()

 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;

público booleano 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;

público final booleano isInitialized ()

público ConfigProto.Experimental.Builder mergeFrom (com.google.protobuf.Message otro)

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

Lanza
IOExcepción

public ConfigProto.Experimental.Builder mergeSessionMetadata (valor 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;

público final ConfigProto.Experimental.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

public ConfigProto.Experimental.Builder setCollectiveDeterministicSequentialExecution (valor booleano)

 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 (valor de cadena)

 Task name for group resolution.
 
string collective_group_leader = 1;

público ConfigProto.Experimental.Builder setCollectiveGroupLeaderBytes (valor com.google.protobuf.ByteString)

 Task name for group resolution.
 
string collective_group_leader = 1;

público ConfigProto.Experimental.Builder setCollectiveNccl (valor booleano)

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

público ConfigProto.Experimental.Builder setDisableOutputPartitionGraphs (valor booleano)

 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 (valor booleano)

 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;

público ConfigProto.Experimental.Builder setEnableMlirBridge (valor booleano)

 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 (valor booleano)

 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 (valor de cadena)

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

público ConfigProto.Experimental.Builder setExecutorTypeBytes (valor 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;

público ConfigProto.Experimental.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor del objeto)

público ConfigProto.Experimental.Builder setMlirBridgeRollout (valor 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;

público ConfigProto.Experimental.Builder setMlirBridgeRolloutValue (valor 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;

público ConfigProto.Experimental.Builder setOptimizeForStaticGraph (valor booleano)

 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;

público ConfigProto.Experimental.Builder setRecvBufMaxChunk (valor 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 (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor del objeto)

public ConfigProto.Experimental.Builder setSessionMetadata (valor 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;

público 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;

público ConfigProto.Experimental.Builder setShareClusterDevicesInSession (valor booleano)

 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 (valor booleano)

 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;

público final ConfigProto.Experimental.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet desconocidoFields)

público ConfigProto.Experimental.Builder setUseNumaAffinity (valor booleano)

 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 (valor largo)

 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;