ConfigProto.Experimental.Builder

ConfigProto.Experimental.Builder de clase final estática pública

 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
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 (campo 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
clearSessionMetadata ()
 Metadata about the session.
ConfigProto.Experimental.Builder
clearShareClusterDevicesInSession ()
 This was promoted to a non-experimental API.
ConfigProto.Experimental.Builder
clearShareSessionStateInClusterspecPropagation ()
 In the following, session state means the value of a variable, elements
 in a hash table, or any other resource, accessible by worker sessions
 held by a TF server.
ConfigProto.Experimental.Builder
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.
Cuerda
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.
Cuerda
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.
SessionMetadata
getSessionMetadata ()
 Metadata about the session.
SessionMetadata.Builder
getSessionMetadataBuilder ()
 Metadata about the session.
SessionMetadataOrBuilder
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 extensionRegistry)
ConfigProto.Experimental.Builder
mergeSessionMetadata (valor de SessionMetadata )
 Metadata about the session.
ConfigProto.Experimental.Builder final
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
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 de 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 de 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 unknownFields)
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)

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; Collective_deterministic_sequential_execution bool collective_deterministic_sequential_execution = 6;

public ConfigProto.Experimental.Builder clearCollectiveGroupLeader ()

 Task name for group resolution.
 
string collective_group_leader = 1; Collective_group_leader 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; Collective_nccl 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 (campo 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; Optimize_for_static_graph 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 boolean getCollectiveDeterministicSequentialExecution ()

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

public String getCollectiveGroupLeader ()

 Task name for group resolution.
 
string collective_group_leader = 1; Collective_group_leader string collective_group_leader = 1;

public com.google.protobuf.ByteString getCollectiveGroupLeaderBytes ()

 Task name for group resolution.
 
string collective_group_leader = 1; Collective_group_leader string collective_group_leader = 1;

public boolean getCollectiveNccl ()

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

public ConfigProto.Experimental getDefaultInstanceForType ()

público estático 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; Optimize_for_static_graph 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;

public final boolean isInitialized ()

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

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

Lanza
IOException

public ConfigProto.Experimental.Builder mergeSessionMetadata (valor de 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;

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

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; Collective_deterministic_sequential_execution bool collective_deterministic_sequential_execution = 6;

public ConfigProto.Experimental.Builder setCollectiveGroupLeader (valor de cadena)

 Task name for group resolution.
 
string collective_group_leader = 1; Collective_group_leader string collective_group_leader = 1;

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

 Task name for group resolution.
 
string collective_group_leader = 1; Collective_group_leader string collective_group_leader = 1;

public ConfigProto.Experimental.Builder setCollectiveNccl (valor booleano)

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

public 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;

public 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;

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

public 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;

public 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;

public 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; Optimize_for_static_graph bool optimize_for_static_graph = 12;

public 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 de 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 (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;

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

public 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;