ConfigProto.Experimental.Builder

kelas akhir statis publik 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.
Tipe protobuf tensorflow.ConfigProto.Experimental

Metode Publik

ConfigProto.Eksperimental.Builder
addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
ConfigProto.Eksperimental
membangun ()
ConfigProto.Eksperimental
membangunPartial ()
ConfigProto.Eksperimental.Builder
jernih ()
ConfigProto.Eksperimental.Builder
clearCollectiveDeterministicSequentialExecution () 
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
ConfigProto.Eksperimental.Builder
jelasPemimpin KelompokKolektif () 
 Task name for group resolution.
ConfigProto.Eksperimental.Builder
clearCollectiveNccl () 
 If true, use NCCL for CollectiveOps.
ConfigProto.Eksperimental.Builder
clearDisableOutputPartitionGraphs () 
 If true, the session will not store an additional copy of the graph for
 each subgraph.
ConfigProto.Eksperimental.Builder
hapusDisableThreadSpinning () 
 If using a direct session, disable spinning while waiting for work in
 the thread pool.
ConfigProto.Eksperimental.Builder
hapusAktifkanMlirBridge () 
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
ConfigProto.Eksperimental.Builder
hapusAktifkanMlirGraphOptimization () 
 Whether to enable the MLIR-based Graph optimizations.
ConfigProto.Eksperimental.Builder
jelasExecutorType () 
 Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
string executor_type = 3;
ConfigProto.Eksperimental.Builder
clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
ConfigProto.Eksperimental.Builder
jelasMlirBridgeRollout () 
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
ConfigProto.Eksperimental.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
ConfigProto.Eksperimental.Builder
hapusOptimizeForStaticGraph () 
 If true, the session may treat the graph as being static for optimization
 purposes.
ConfigProto.Eksperimental.Builder
hapusRecvBufMaxChunk () 
 Guidance to formatting of large RecvBuf fields for transfer.
ConfigProto.Eksperimental.Builder
hapusSesiMetadata () 
 Metadata about the session.
ConfigProto.Eksperimental.Builder
clearShareClusterDevicesInSession () 
 This was promoted to a non-experimental API.
ConfigProto.Eksperimental.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.Eksperimental.Builder
hapusGunakanNumaAffinity () 
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
ConfigProto.Eksperimental.Builder
clearXlaFusionAutotunerThresh () 
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.
ConfigProto.Eksperimental.Builder
klon ()
boolean
getCollectiveDeterministicSequentialExecution () 
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
Rangkaian
dapatkanCollectiveGroupLeader () 
 Task name for group resolution.
com.google.protobuf.ByteString
dapatkanCollectiveGroupLeaderBytes () 
 Task name for group resolution.
boolean
dapatkanCollectiveNccl () 
 If true, use NCCL for CollectiveOps.
ConfigProto.Eksperimental
dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir
dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor
dapatkanDescriptorForType ()
boolean
getDisableOutputPartitionGraphs () 
 If true, the session will not store an additional copy of the graph for
 each subgraph.
boolean
dapatkanDisableThreadSpinning () 
 If using a direct session, disable spinning while waiting for work in
 the thread pool.
boolean
dapatkanAktifkanMlirBridge () 
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
boolean
getEnableMlirGraphOptimization () 
 Whether to enable the MLIR-based Graph optimizations.
Rangkaian
dapatkanExecutorType () 
 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
dapatkanExecutorTypeBytes () 
 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
dapatkanMlirBridgeRollout () 
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
ke dalam
dapatkanMlirBridgeRolloutValue () 
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
boolean
dapatkanOptimizeForStaticGraph () 
 If true, the session may treat the graph as being static for optimization
 purposes.
ke dalam
dapatkanRecvBufMaxChunk () 
 Guidance to formatting of large RecvBuf fields for transfer.
Metadata Sesi
dapatkanSessionMetadata () 
 Metadata about the session.
SessionMetadata.Builder
dapatkanSessionMetadataBuilder () 
 Metadata about the session.
SessionMetadataOrBuilder
dapatkanSessionMetadataOrBuilder () 
 Metadata about the session.
boolean
dapatkanShareClusterDevicesInSession () 
 This was promoted to a non-experimental API.
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.
boolean
dapatkanUseNumaAffinity () 
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
panjang
getXlaFusionAutotunerThresh () 
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.
boolean
hasSessionMetadata () 
 Metadata about the session.
boolean terakhir
diinisialisasi ()
ConfigProto.Eksperimental.Builder
mergeFrom (com.google.protobuf.Pesan lainnya)
ConfigProto.Eksperimental.Builder
mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto.Eksperimental.Builder
mergeSessionMetadata (nilai SessionMetadata ) 
 Metadata about the session.
ConfigProto.Experimental.Builder terakhir
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
ConfigProto.Eksperimental.Builder
setCollectiveDeterministicSequentialExecution (nilai boolean) 
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
ConfigProto.Eksperimental.Builder
setCollectiveGroupLeader (Nilai string) 
 Task name for group resolution.
ConfigProto.Eksperimental.Builder
setCollectiveGroupLeaderBytes (nilai com.google.protobuf.ByteString) 
 Task name for group resolution.
ConfigProto.Eksperimental.Builder
setCollectiveNccl (nilai boolean) 
 If true, use NCCL for CollectiveOps.
ConfigProto.Eksperimental.Builder
setDisableOutputPartitionGraphs (nilai boolean) 
 If true, the session will not store an additional copy of the graph for
 each subgraph.
ConfigProto.Eksperimental.Builder
setDisableThreadSpinning (nilai boolean) 
 If using a direct session, disable spinning while waiting for work in
 the thread pool.
ConfigProto.Eksperimental.Builder
setEnableMlirBridge (nilai boolean) 
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
ConfigProto.Eksperimental.Builder
setEnableMlirGraphOptimization (nilai boolean) 
 Whether to enable the MLIR-based Graph optimizations.
ConfigProto.Eksperimental.Builder
setExecutorType (Nilai string) 
 Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
string executor_type = 3;
ConfigProto.Eksperimental.Builder
setExecutorTypeBytes (nilai 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.Eksperimental.Builder
setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
ConfigProto.Eksperimental.Builder
setMlirBridgeRollout (nilai ConfigProto.Experimental.MlirBridgeRollout ) 
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
ConfigProto.Eksperimental.Builder
setMlirBridgeRolloutValue (nilai int) 
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
ConfigProto.Eksperimental.Builder
setOptimizeForStaticGraph (nilai boolean) 
 If true, the session may treat the graph as being static for optimization
 purposes.
ConfigProto.Eksperimental.Builder
setRecvBufMaxChunk (nilai int) 
 Guidance to formatting of large RecvBuf fields for transfer.
ConfigProto.Eksperimental.Builder
setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
ConfigProto.Eksperimental.Builder
setSessionMetadata ( nilai SessionMetadata ) 
 Metadata about the session.
ConfigProto.Eksperimental.Builder
setSessionMetadata ( SessionMetadata.Pembuat pembangunForValue) 
 Metadata about the session.
ConfigProto.Eksperimental.Builder
setShareClusterDevicesInSession (nilai boolean) 
 This was promoted to a non-experimental API.
ConfigProto.Eksperimental.Builder
setShareSessionStateInClusterspecPropagation (nilai boolean) 
 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 terakhir
setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
ConfigProto.Eksperimental.Builder
setUseNumaAffinity (nilai boolean) 
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
ConfigProto.Eksperimental.Builder
setXlaFusionAutotunerThresh (nilai panjang) 
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.

Metode Warisan

Metode Publik

public ConfigProto.Experimental.Builder addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

ConfigProto publik. Pembuatan eksperimental ()

ConfigProto publik. Build eksperimentalPartial ()

ConfigProto.Experimental.Builder publik jelas ()

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;

ConfigProto.Experimental.Builder publik clearCollectiveGroupLeader () 

 Task name for group resolution.
string collective_group_leader = 1;

ConfigProto.Experimental.Builder publik clearCollectiveNccl () 

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

ConfigProto.Experimental.Builder publik 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;

ConfigProto.Experimental.Builder publik 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;

ConfigProto.Experimental.Builder publik 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;

ConfigProto.Experimental.Builder publik 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;

ConfigProto.Experimental.Builder publik 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 (bidang com.google.protobuf.Descriptors.FieldDescriptor)

ConfigProto.Experimental.Builder publik 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;

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

ConfigProto.Experimental.Builder publik 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;

ConfigProto.Experimental.Builder publik 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;

ConfigProto.Experimental.Builder publik 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;

ConfigProto.Experimental.Builder publik 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;

ConfigProto.Experimental.Builder publik 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;

ConfigProto.Experimental.Builder publik 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;

ConfigProto.Experimental.Builder publik 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;

klon ConfigProto.Experimental.Builder publik ()

boolean publik getCollectiveDeterministicSequentialExecution () 

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

String publik getCollectiveGroupLeader () 

 Task name for group resolution.
string collective_group_leader = 1;

publik com.google.protobuf.ByteString getCollectiveGroupLeaderBytes () 

 Task name for group resolution.
string collective_group_leader = 1;

getCollectiveNccl boolean publik () 

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

ConfigProto publik.Eksperimental getDefaultInstanceForType ()

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

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

boolean publik 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;

boolean publik 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;

boolean publik 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;

boolean publik 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;

String publik getExecutorType () 

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

publik 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 publik 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;

int publik 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;

boolean publik 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;

int publik 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;

SessionMetadata publik 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;

SessionMetadata.Builder publik 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;

SessionMetadataOrBuilder publik 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;

boolean publik 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;

boolean publik 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;

boolean publik 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;

get panjang publikXlaFusionAutotunerThresh () 

 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;

boolean publik 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;

boolean akhir publik diinisialisasi ()

ConfigProto.Experimental.Builder mergeFrom (com.google.protobuf.Message lainnya) publik

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

Melempar
Pengecualian IO

ConfigProto.Experimental.Builder mergeSessionMetadata publik (nilai 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 (nilai boolean) 

 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 (Nilai string) 

 Task name for group resolution.
string collective_group_leader = 1;

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

 Task name for group resolution.
string collective_group_leader = 1;

public ConfigProto.Experimental.Builder setCollectiveNccl (nilai boolean) 

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

public ConfigProto.Experimental.Builder setDisableOutputPartitionGraphs (nilai boolean) 

 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 (nilai boolean) 

 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 (nilai boolean) 

 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 (nilai boolean) 

 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 (Nilai string) 

 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 publik (nilai 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 (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

ConfigProto.Experimental.Builder setMlirBridgeRollout publik (nilai 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 (nilai 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 (nilai boolean) 

 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 (nilai 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 (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)

public ConfigProto.Experimental.Builder setSessionMetadata (nilai 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 setSessionMetadata publik ( 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 (nilai boolean) 

 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 (nilai boolean) 

 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 (nilai boolean) 

 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 (nilai panjang) 

 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;