classe finale statique publique ConfigProto.Experimental.Builder
Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
tensorflow.ConfigProto.Experimental
de type Protobuf Méthodes publiques
ConfigProto.Experimental.Builder | addRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet) |
ConfigProto.Expérimental | construire () |
ConfigProto.Expérimental | buildPartial () |
ConfigProto.Experimental.Builder | clair () |
ConfigProto.Experimental.Builder | clearCollectiveDeterministicSequentialExecution () If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances. |
ConfigProto.Experimental.Builder | clearCollectiveGroupLeader () Task name for group resolution. |
ConfigProto.Experimental.Builder | clearCollectiveNccl () If true, use NCCL for CollectiveOps. |
ConfigProto.Experimental.Builder | clearDisableOutputPartitionGraphs () If true, the session will not store an additional copy of the graph for each subgraph. |
ConfigProto.Experimental.Builder | clearDisableThreadSpinning () If using a direct session, disable spinning while waiting for work in the thread pool. |
ConfigProto.Experimental.Builder | clearEnableMlirBridge () This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521). |
ConfigProto.Experimental.Builder | clearEnableMlirGraphOptimization () Whether to enable the MLIR-based Graph optimizations. |
ConfigProto.Experimental.Builder | clearExecutorType () Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3; |
ConfigProto.Experimental.Builder | clearField (champ com.google.protobuf.Descriptors.FieldDescriptor) |
ConfigProto.Experimental.Builder | clearMlirBridgeRollout () This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). |
ConfigProto.Experimental.Builder | clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof) |
ConfigProto.Experimental.Builder | clearOptimizeForStaticGraph () If true, the session may treat the graph as being static for optimization purposes. |
ConfigProto.Experimental.Builder | clearRecvBufMaxChunk () Guidance to formatting of large RecvBuf fields for transfer. |
ConfigProto.Experimental.Builder | clearSessionMetadonnées () Metadata about the session. |
ConfigProto.Experimental.Builder | clearShareClusterDevicesInSession () This was promoted to a non-experimental API. |
ConfigProto.Experimental.Builder | clearShareSessionStateInClusterspecPropagation () In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server. |
ConfigProto.Experimental.Builder | clearUseNumaAffinity () If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable. |
ConfigProto.Experimental.Builder | clearXlaFusionAutotunerThresh () Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled. |
ConfigProto.Experimental.Builder | cloner () |
booléen | getCollectiveDeterministicSequentialExecution () If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances. |
Chaîne | getCollectiveGroupLeader () Task name for group resolution. |
com.google.protobuf.ByteString | getCollectiveGroupLeaderBytes () Task name for group resolution. |
booléen | getCollectiveNccl () If true, use NCCL for CollectiveOps. |
ConfigProto.Expérimental | |
final statique com.google.protobuf.Descriptors.Descriptor | |
com.google.protobuf.Descriptors.Descriptor | |
booléen | getDisableOutputPartitionGraphs () If true, the session will not store an additional copy of the graph for each subgraph. |
booléen | getDisableThreadSpinning () If using a direct session, disable spinning while waiting for work in the thread pool. |
booléen | getEnableMlirBridge () This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521). |
booléen | getEnableMlirGraphOptimization () Whether to enable the MLIR-based Graph optimizations. |
Chaîne | getExecutorType () Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3; |
com.google.protobuf.ByteString | getExecutorTypeBytes () Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3; |
ConfigProto.Experimental.MlirBridgeRollout | getMlirBridgeRollout () This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). |
int | getMlirBridgeRolloutValue () This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). |
booléen | getOptimizeForStaticGraph () If true, the session may treat the graph as being static for optimization purposes. |
int | getRecvBufMaxChunk () Guidance to formatting of large RecvBuf fields for transfer. |
Métadonnées de session | getSessionMetadata () Metadata about the session. |
SessionMetadata.Builder | getSessionMetadataBuilder () Metadata about the session. |
SessionMetadataOrBuilder | getSessionMetadataOrBuilder () Metadata about the session. |
booléen | getShareClusterDevicesInSession () This was promoted to a non-experimental API. |
booléen | getShareSessionStateInClusterspecPropagation () In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server. |
booléen | getUseNumaAffinity () If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable. |
long | getXlaFusionAutotunerThresh () Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled. |
booléen | hasSessionMetadata () Metadata about the session. |
booléen final | |
ConfigProto.Experimental.Builder | mergeFrom (com.google.protobuf.Message autre) |
ConfigProto.Experimental.Builder | mergeFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
ConfigProto.Experimental.Builder | |
final ConfigProto.Experimental.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields) |
ConfigProto.Experimental.Builder | setCollectiveDeterministicSequentialExecution (valeur booléenne) If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances. |
ConfigProto.Experimental.Builder | setCollectiveGroupLeader (valeur de chaîne) Task name for group resolution. |
ConfigProto.Experimental.Builder | setCollectiveGroupLeaderBytes (valeur com.google.protobuf.ByteString) Task name for group resolution. |
ConfigProto.Experimental.Builder | setCollectiveNccl (valeur booléenne) If true, use NCCL for CollectiveOps. |
ConfigProto.Experimental.Builder | setDisableOutputPartitionGraphs (valeur booléenne) If true, the session will not store an additional copy of the graph for each subgraph. |
ConfigProto.Experimental.Builder | setDisableThreadSpinning (valeur booléenne) If using a direct session, disable spinning while waiting for work in the thread pool. |
ConfigProto.Experimental.Builder | setEnableMlirBridge (valeur booléenne) This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521). |
ConfigProto.Experimental.Builder | setEnableMlirGraphOptimization (valeur booléenne) Whether to enable the MLIR-based Graph optimizations. |
ConfigProto.Experimental.Builder | setExecutorType (valeur de chaîne) Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3; |
ConfigProto.Experimental.Builder | setExecutorTypeBytes (valeur com.google.protobuf.ByteString) Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3; |
ConfigProto.Experimental.Builder | setField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet) |
ConfigProto.Experimental.Builder | setMlirBridgeRollout (valeur ConfigProto.Experimental.MlirBridgeRollout ) This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). |
ConfigProto.Experimental.Builder | setMlirBridgeRolloutValue (valeur entière) This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). |
ConfigProto.Experimental.Builder | setOptimizeForStaticGraph (valeur booléenne) If true, the session may treat the graph as being static for optimization purposes. |
ConfigProto.Experimental.Builder | setRecvBufMaxChunk (valeur entière) Guidance to formatting of large RecvBuf fields for transfer. |
ConfigProto.Experimental.Builder | setRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet) |
ConfigProto.Experimental.Builder | |
ConfigProto.Experimental.Builder | |
ConfigProto.Experimental.Builder | setShareClusterDevicesInSession (valeur booléenne) This was promoted to a non-experimental API. |
ConfigProto.Experimental.Builder | setShareSessionStateInClusterspecPropagation (valeur booléenne) In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server. |
final ConfigProto.Experimental.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSet inconnuFields) |
ConfigProto.Experimental.Builder | setUseNumaAffinity (valeur booléenne) If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable. |
ConfigProto.Experimental.Builder | setXlaFusionAutotunerThresh (valeur longue) Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled. |
Méthodes héritées
Méthodes publiques
public ConfigProto.Experimental.Builder addRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
public ConfigProto.Experimental.Builder clearCollectiveDeterministicSequentialExecution ()
If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
bool collective_deterministic_sequential_execution = 6;
public ConfigProto.Experimental.Builder clearCollectiveGroupLeader ()
Task name for group resolution.
string collective_group_leader = 1;
public ConfigProto.Experimental.Builder clearCollectiveNccl ()
If true, use NCCL for CollectiveOps. This feature is highly experimental.
bool collective_nccl = 7;
public ConfigProto.Experimental.Builder clearDisableOutputPartitionGraphs ()
If true, the session will not store an additional copy of the graph for each subgraph. If this option is set to true when a session is created, the `RunOptions.output_partition_graphs` options must not be set.
bool disable_output_partition_graphs = 14;
public ConfigProto.Experimental.Builder clearDisableThreadSpinning ()
If using a direct session, disable spinning while waiting for work in the thread pool. This may result in higher latency for completing ops, but in the case where there is a lot of spinning may result in lower CPU usage.
bool disable_thread_spinning = 9;
public ConfigProto.Experimental.Builder clearEnableMlirBridge ()
This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521). Whether to enable the MLIR-based TF->XLA bridge. This is a replacement to the existing bridge, and not ready for production usage yet. If this option is set to true when a session is created, MLIR is used to perform the set of graph transformations to put the graph in a form that can be executed with delegation of some computations to an accelerator. This builds on the model of XLA where a subset of the graph is encapsulated and attached to a "compile" operation, whose result is fed to an "execute" operation. The kernel for these operations is responsible to lower the encapsulated graph to a particular device.
bool enable_mlir_bridge = 13;
public ConfigProto.Experimental.Builder clearEnableMlirGraphOptimization ()
Whether to enable the MLIR-based Graph optimizations. This will become a part of standard Tensorflow graph optimization pipeline, currently this is only used for gradual migration and testing new passes that are replacing existing optimizations in Grappler.
bool enable_mlir_graph_optimization = 16;
public ConfigProto.Experimental.Builder clearExecutorType ()
Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
string executor_type = 3;
public ConfigProto.Experimental.Builder clearField (champ com.google.protobuf.Descriptors.FieldDescriptor)
public ConfigProto.Experimental.Builder clearMlirBridgeRollout ()
This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). Whether to enable the MLIR-based TF->XLA bridge.
.tensorflow.ConfigProto.Experimental.MlirBridgeRollout mlir_bridge_rollout = 17;
public ConfigProto.Experimental.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
public ConfigProto.Experimental.Builder clearOptimizeForStaticGraph ()
If true, the session may treat the graph as being static for optimization purposes. If this option is set to true when a session is created, the full GraphDef must be passed in a single call to Session::Create(), and Session::Extend() may not be supported.
bool optimize_for_static_graph = 12;
public ConfigProto.Experimental.Builder clearRecvBufMaxChunk ()
Guidance to formatting of large RecvBuf fields for transfer. Any positive value sets the max chunk size. 0 defaults to 4096. Any negative value indicates no max, i.e. one chunk only.
int32 recv_buf_max_chunk = 4;
public ConfigProto.Experimental.Builder clearSessionMetadata ()
Metadata about the session. If set, this can be used by the runtime and the Ops for debugging, monitoring, etc. NOTE: This is currently used and propagated only by the direct session.
.tensorflow.SessionMetadata session_metadata = 11;
public ConfigProto.Experimental.Builder clearShareClusterDevicesInSession ()
This was promoted to a non-experimental API. Please use ConfigProto.share_cluster_devices_in_session instead.
bool share_cluster_devices_in_session = 10;
public ConfigProto.Experimental.Builder clearShareSessionStateInClusterspecPropagation ()
In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server. When ClusterSpec propagation is enabled, the value of isolate_session_state is ignored when deciding whether to share session states in a TF server (for backwards compatibility reasons). - If share_session_state_in_clusterspec_propagation is true, the session states are shared. - If share_session_state_in_clusterspec_propagation is false, session states are isolated. When clusterspec propagation is not used, the value of share_session_state_in_clusterspec_propagation is ignored when deciding whether to share session states in a TF server. - If isolate_session_state is true, session states are isolated. - If isolate_session_state is false, session states are shared. TODO(b/129330037): Add a single API that consistently treats isolate_session_state and ClusterSpec propagation.
bool share_session_state_in_clusterspec_propagation = 8;
public ConfigProto.Experimental.Builder clearUseNumaAffinity ()
If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable. One consequence will be the existence of as many CPU devices as there are available NUMA nodes.
bool use_numa_affinity = 5;
public ConfigProto.Experimental.Builder clearXlaFusionAutotunerThresh ()
Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled. Default value of zero disables the autotuner. The XLA fusion autotuner can improve performance by executing a heuristic search on the compiler parameters.
int64 xla_fusion_autotuner_thresh = 15;
public booléen getCollectiveDeterministicSequentialExecution ()
If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
bool collective_deterministic_sequential_execution = 6;
chaîne publique getCollectiveGroupLeader ()
Task name for group resolution.
string collective_group_leader = 1;
public com.google.protobuf.ByteString getCollectiveGroupLeaderBytes ()
Task name for group resolution.
string collective_group_leader = 1;
public booléen getCollectiveNccl ()
If true, use NCCL for CollectiveOps. This feature is highly experimental.
bool collective_nccl = 7;
public statique final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
public booléen getDisableOutputPartitionGraphs ()
If true, the session will not store an additional copy of the graph for each subgraph. If this option is set to true when a session is created, the `RunOptions.output_partition_graphs` options must not be set.
bool disable_output_partition_graphs = 14;
public booléen getDisableThreadSpinning ()
If using a direct session, disable spinning while waiting for work in the thread pool. This may result in higher latency for completing ops, but in the case where there is a lot of spinning may result in lower CPU usage.
bool disable_thread_spinning = 9;
public booléen getEnableMlirBridge ()
This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521). Whether to enable the MLIR-based TF->XLA bridge. This is a replacement to the existing bridge, and not ready for production usage yet. If this option is set to true when a session is created, MLIR is used to perform the set of graph transformations to put the graph in a form that can be executed with delegation of some computations to an accelerator. This builds on the model of XLA where a subset of the graph is encapsulated and attached to a "compile" operation, whose result is fed to an "execute" operation. The kernel for these operations is responsible to lower the encapsulated graph to a particular device.
bool enable_mlir_bridge = 13;
public booléen getEnableMlirGraphOptimization ()
Whether to enable the MLIR-based Graph optimizations. This will become a part of standard Tensorflow graph optimization pipeline, currently this is only used for gradual migration and testing new passes that are replacing existing optimizations in Grappler.
bool enable_mlir_graph_optimization = 16;
chaîne publique getExecutorType ()
Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
string executor_type = 3;
public com.google.protobuf.ByteString getExecutorTypeBytes ()
Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
string executor_type = 3;
public ConfigProto.Experimental.MlirBridgeRollout getMlirBridgeRollout ()
This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). Whether to enable the MLIR-based TF->XLA bridge.
.tensorflow.ConfigProto.Experimental.MlirBridgeRollout mlir_bridge_rollout = 17;
public int getMlirBridgeRolloutValue ()
This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). Whether to enable the MLIR-based TF->XLA bridge.
.tensorflow.ConfigProto.Experimental.MlirBridgeRollout mlir_bridge_rollout = 17;
public booléen getOptimizeForStaticGraph ()
If true, the session may treat the graph as being static for optimization purposes. If this option is set to true when a session is created, the full GraphDef must be passed in a single call to Session::Create(), and Session::Extend() may not be supported.
bool optimize_for_static_graph = 12;
public int getRecvBufMaxChunk ()
Guidance to formatting of large RecvBuf fields for transfer. Any positive value sets the max chunk size. 0 defaults to 4096. Any negative value indicates no max, i.e. one chunk only.
int32 recv_buf_max_chunk = 4;
public SessionMetadata getSessionMetadata ()
Metadata about the session. If set, this can be used by the runtime and the Ops for debugging, monitoring, etc. NOTE: This is currently used and propagated only by the direct session.
.tensorflow.SessionMetadata session_metadata = 11;
public SessionMetadata.Builder getSessionMetadataBuilder ()
Metadata about the session. If set, this can be used by the runtime and the Ops for debugging, monitoring, etc. NOTE: This is currently used and propagated only by the direct session.
.tensorflow.SessionMetadata session_metadata = 11;
public SessionMetadataOrBuilder getSessionMetadataOrBuilder ()
Metadata about the session. If set, this can be used by the runtime and the Ops for debugging, monitoring, etc. NOTE: This is currently used and propagated only by the direct session.
.tensorflow.SessionMetadata session_metadata = 11;
public booléen getShareClusterDevicesInSession ()
This was promoted to a non-experimental API. Please use ConfigProto.share_cluster_devices_in_session instead.
bool share_cluster_devices_in_session = 10;
public booléen getShareSessionStateInClusterspecPropagation ()
In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server. When ClusterSpec propagation is enabled, the value of isolate_session_state is ignored when deciding whether to share session states in a TF server (for backwards compatibility reasons). - If share_session_state_in_clusterspec_propagation is true, the session states are shared. - If share_session_state_in_clusterspec_propagation is false, session states are isolated. When clusterspec propagation is not used, the value of share_session_state_in_clusterspec_propagation is ignored when deciding whether to share session states in a TF server. - If isolate_session_state is true, session states are isolated. - If isolate_session_state is false, session states are shared. TODO(b/129330037): Add a single API that consistently treats isolate_session_state and ClusterSpec propagation.
bool share_session_state_in_clusterspec_propagation = 8;
public booléen getUseNumaAffinity ()
If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable. One consequence will be the existence of as many CPU devices as there are available NUMA nodes.
bool use_numa_affinity = 5;
public long getXlaFusionAutotunerThresh ()
Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled. Default value of zero disables the autotuner. The XLA fusion autotuner can improve performance by executing a heuristic search on the compiler parameters.
int64 xla_fusion_autotuner_thresh = 15;
public booléen hasSessionMetadata ()
Metadata about the session. If set, this can be used by the runtime and the Ops for debugging, monitoring, etc. NOTE: This is currently used and propagated only by the direct session.
.tensorflow.SessionMetadata session_metadata = 11;
public final booléen isInitialized ()
public ConfigProto.Experimental.Builder mergeFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Jetés
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public ConfigProto.Experimental.Builder mergeSessionMetadata (valeur SessionMetadata )
Metadata about the session. If set, this can be used by the runtime and the Ops for debugging, monitoring, etc. NOTE: This is currently used and propagated only by the direct session.
.tensorflow.SessionMetadata session_metadata = 11;
public final ConfigProto.Experimental.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
public ConfigProto.Experimental.Builder setCollectiveDeterministicSequentialExecution (valeur booléenne)
If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
bool collective_deterministic_sequential_execution = 6;
public ConfigProto.Experimental.Builder setCollectiveGroupLeader (valeur de chaîne)
Task name for group resolution.
string collective_group_leader = 1;
public ConfigProto.Experimental.Builder setCollectiveGroupLeaderBytes (valeur com.google.protobuf.ByteString)
Task name for group resolution.
string collective_group_leader = 1;
public ConfigProto.Experimental.Builder setCollectiveNccl (valeur booléenne)
If true, use NCCL for CollectiveOps. This feature is highly experimental.
bool collective_nccl = 7;
public ConfigProto.Experimental.Builder setDisableOutputPartitionGraphs (valeur booléenne)
If true, the session will not store an additional copy of the graph for each subgraph. If this option is set to true when a session is created, the `RunOptions.output_partition_graphs` options must not be set.
bool disable_output_partition_graphs = 14;
public ConfigProto.Experimental.Builder setDisableThreadSpinning (valeur booléenne)
If using a direct session, disable spinning while waiting for work in the thread pool. This may result in higher latency for completing ops, but in the case where there is a lot of spinning may result in lower CPU usage.
bool disable_thread_spinning = 9;
public ConfigProto.Experimental.Builder setEnableMlirBridge (valeur booléenne)
This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521). Whether to enable the MLIR-based TF->XLA bridge. This is a replacement to the existing bridge, and not ready for production usage yet. If this option is set to true when a session is created, MLIR is used to perform the set of graph transformations to put the graph in a form that can be executed with delegation of some computations to an accelerator. This builds on the model of XLA where a subset of the graph is encapsulated and attached to a "compile" operation, whose result is fed to an "execute" operation. The kernel for these operations is responsible to lower the encapsulated graph to a particular device.
bool enable_mlir_bridge = 13;
public ConfigProto.Experimental.Builder setEnableMlirGraphOptimization (valeur booléenne)
Whether to enable the MLIR-based Graph optimizations. This will become a part of standard Tensorflow graph optimization pipeline, currently this is only used for gradual migration and testing new passes that are replacing existing optimizations in Grappler.
bool enable_mlir_graph_optimization = 16;
public ConfigProto.Experimental.Builder setExecutorType (valeur de chaîne)
Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
string executor_type = 3;
public ConfigProto.Experimental.Builder setExecutorTypeBytes (valeur com.google.protobuf.ByteString)
Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
string executor_type = 3;
public ConfigProto.Experimental.Builder setField (champ com.google.protobuf.Descriptors.FieldDescriptor, valeur de l'objet)
public ConfigProto.Experimental.Builder setMlirBridgeRollout (valeur ConfigProto.Experimental.MlirBridgeRollout )
This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). Whether to enable the MLIR-based TF->XLA bridge.
.tensorflow.ConfigProto.Experimental.MlirBridgeRollout mlir_bridge_rollout = 17;
public ConfigProto.Experimental.Builder setMlirBridgeRolloutValue (valeur int)
This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). Whether to enable the MLIR-based TF->XLA bridge.
.tensorflow.ConfigProto.Experimental.MlirBridgeRollout mlir_bridge_rollout = 17;
public ConfigProto.Experimental.Builder setOptimizeForStaticGraph (valeur booléenne)
If true, the session may treat the graph as being static for optimization purposes. If this option is set to true when a session is created, the full GraphDef must be passed in a single call to Session::Create(), and Session::Extend() may not be supported.
bool optimize_for_static_graph = 12;
public ConfigProto.Experimental.Builder setRecvBufMaxChunk (valeur int)
Guidance to formatting of large RecvBuf fields for transfer. Any positive value sets the max chunk size. 0 defaults to 4096. Any negative value indicates no max, i.e. one chunk only.
int32 recv_buf_max_chunk = 4;
public ConfigProto.Experimental.Builder setRepeatedField (champ com.google.protobuf.Descriptors.FieldDescriptor, index int, valeur de l'objet)
public ConfigProto.Experimental.Builder setSessionMetadata (valeur SessionMetadata )
Metadata about the session. If set, this can be used by the runtime and the Ops for debugging, monitoring, etc. NOTE: This is currently used and propagated only by the direct session.
.tensorflow.SessionMetadata session_metadata = 11;
public ConfigProto.Experimental.Builder setSessionMetadata ( SessionMetadata.Builder builderForValue)
Metadata about the session. If set, this can be used by the runtime and the Ops for debugging, monitoring, etc. NOTE: This is currently used and propagated only by the direct session.
.tensorflow.SessionMetadata session_metadata = 11;
public ConfigProto.Experimental.Builder setShareClusterDevicesInSession (valeur booléenne)
This was promoted to a non-experimental API. Please use ConfigProto.share_cluster_devices_in_session instead.
bool share_cluster_devices_in_session = 10;
public ConfigProto.Experimental.Builder setShareSessionStateInClusterspecPropagation (valeur booléenne)
In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server. When ClusterSpec propagation is enabled, the value of isolate_session_state is ignored when deciding whether to share session states in a TF server (for backwards compatibility reasons). - If share_session_state_in_clusterspec_propagation is true, the session states are shared. - If share_session_state_in_clusterspec_propagation is false, session states are isolated. When clusterspec propagation is not used, the value of share_session_state_in_clusterspec_propagation is ignored when deciding whether to share session states in a TF server. - If isolate_session_state is true, session states are isolated. - If isolate_session_state is false, session states are shared. TODO(b/129330037): Add a single API that consistently treats isolate_session_state and ClusterSpec propagation.
bool share_session_state_in_clusterspec_propagation = 8;
public final ConfigProto.Experimental.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
public ConfigProto.Experimental.Builder setUseNumaAffinity (valeur booléenne)
If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable. One consequence will be the existence of as many CPU devices as there are available NUMA nodes.
bool use_numa_affinity = 5;
public ConfigProto.Experimental.Builder setXlaFusionAutotunerThresh (valeur longue)
Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled. Default value of zero disables the autotuner. The XLA fusion autotuner can improve performance by executing a heuristic search on the compiler parameters.
int64 xla_fusion_autotuner_thresh = 15;