classe finale statica pubblica 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
Metodi pubblici
ConfigProto.Experimental.Builder | addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto) |
ConfigProto.Experimental | costruire () |
ConfigProto.Experimental | buildPartial () |
ConfigProto.Experimental.Builder | chiaro () |
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 | cancellaAbilitaMlirBridge () This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521). |
ConfigProto.Experimental.Builder | clearAbilitaottimizzazioneMlirGraph () 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 | clone () |
booleano | getCollectiveDeterministicSequentialExecution () If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances. |
Corda | 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 statico finale | |
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 | getAbilitaMlirBridge () This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521). |
booleano | getEnableMlirGraphOptimization () Whether to enable the MLIR-based Graph optimizations. |
Corda | 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). |
booleano | 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. |
SessionMetadati | 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. |
lungo | getXlaFusionAutotunerThresh () Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled. |
booleano | hasSessionMetadata () Metadata about the session. |
booleano finale | |
ConfigProto.Experimental.Builder | mergeFrom (com.google.protobuf.Message altro) |
ConfigProto.Experimental.Builder | mergeFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry) |
ConfigProto.Experimental.Builder | |
finale ConfigProto.Experimental.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields) |
ConfigProto.Experimental.Builder | setCollectiveDeterministicSequentialExecution (valore booleano) If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances. |
ConfigProto.Experimental.Builder | setCollectiveGroupLeader (valore stringa) Task name for group resolution. |
ConfigProto.Experimental.Builder | setCollectiveGroupLeaderBytes (valore com.google.protobuf.ByteString) Task name for group resolution. |
ConfigProto.Experimental.Builder | setCollectiveNccl (valore booleano) If true, use NCCL for CollectiveOps. |
ConfigProto.Experimental.Builder | setDisableOutputPartitionGraphs (valore booleano) If true, the session will not store an additional copy of the graph for each subgraph. |
ConfigProto.Experimental.Builder | setDisableThreadSpinning (valore booleano) If using a direct session, disable spinning while waiting for work in the thread pool. |
ConfigProto.Experimental.Builder | setEnableMlirBridge (valore booleano) This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521). |
ConfigProto.Experimental.Builder | setEnableMlirGraphOptimization (valore booleano) Whether to enable the MLIR-based Graph optimizations. |
ConfigProto.Experimental.Builder | setExecutorType (valore stringa) 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 (valore 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, valore oggetto) |
ConfigProto.Experimental.Builder | setMlirBridgeRollout (valore ConfigProto.Experimental.MlirBridgeRollout ) This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). |
ConfigProto.Experimental.Builder | setMlirBridgeRolloutValue (valore int) This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). |
ConfigProto.Experimental.Builder | setOptimizeForStaticGraph (valore booleano) If true, the session may treat the graph as being static for optimization purposes. |
ConfigProto.Experimental.Builder | setRecvBufMaxChunk (valore int) Guidance to formatting of large RecvBuf fields for transfer. |
ConfigProto.Experimental.Builder | setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, indice int, valore oggetto) |
ConfigProto.Experimental.Builder | |
ConfigProto.Experimental.Builder | |
ConfigProto.Experimental.Builder | setShareClusterDevicesInSession (valore booleano) This was promoted to a non-experimental API. |
ConfigProto.Experimental.Builder | setShareSessionStateInClusterspecPropagation (valore 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. |
finale ConfigProto.Experimental.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields) |
ConfigProto.Experimental.Builder | setUseNumaAffinity (valore booleano) If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable. |
ConfigProto.Experimental.Builder | setXlaFusionAutotunerThresh (valore lungo) Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled. |
Metodi ereditati
Metodi pubblici
public ConfigProto.Experimental.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)
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 (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;
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 booleano getCollectiveDeterministicSequentialExecution ()
If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
bool collective_deterministic_sequential_execution = 6;
public String getCollectiveGroupLeader ()
Task name for group resolution.
string collective_group_leader = 1;
pubblico com.google.protobuf.ByteString getCollectiveGroupLeaderBytes ()
Task name for group resolution.
string collective_group_leader = 1;
pubblico booleano getCollectiveNccl ()
If true, use NCCL for CollectiveOps. This feature is highly experimental.
bool collective_nccl = 7;
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
pubblico com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
pubblico booleano 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;
pubblico booleano 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;
getEnableMlirBridge pubblico 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;
pubblico booleano 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;
pubblico 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;
pubblico booleano 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;
pubblico 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;
pubblico booleano getShareClusterDevicesInSession ()
This was promoted to a non-experimental API. Please use ConfigProto.share_cluster_devices_in_session instead.
bool share_cluster_devices_in_session = 10;
pubblico booleano getShareSessionStateInClusterspecPropagation ()
In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server. When ClusterSpec propagation is enabled, the value of isolate_session_state is ignored when deciding whether to share session states in a TF server (for backwards compatibility reasons). - If share_session_state_in_clusterspec_propagation is true, the session states are shared. - If share_session_state_in_clusterspec_propagation is false, session states are isolated. When clusterspec propagation is not used, the value of share_session_state_in_clusterspec_propagation is ignored when deciding whether to share session states in a TF server. - If isolate_session_state is true, session states are isolated. - If isolate_session_state is false, session states are shared. TODO(b/129330037): Add a single API that consistently treats isolate_session_state and ClusterSpec propagation.
bool share_session_state_in_clusterspec_propagation = 8;
booleano pubblico 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;
pubblico lungo 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;
hasSessionMetadata booleano pubblico ()
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 booleano isInitialized ()
public ConfigProto.Experimental.Builder mergeFrom (input com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lancia
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public ConfigProto.Experimental.Builder mergeSessionMetadata (valore 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 (valore booleano)
If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
bool collective_deterministic_sequential_execution = 6;
public ConfigProto.Experimental.Builder setCollectiveGroupLeader (valore stringa)
Task name for group resolution.
string collective_group_leader = 1;
public ConfigProto.Experimental.Builder setCollectiveGroupLeaderBytes (valore com.google.protobuf.ByteString)
Task name for group resolution.
string collective_group_leader = 1;
public ConfigProto.Experimental.Builder setCollectiveNccl (valore booleano)
If true, use NCCL for CollectiveOps. This feature is highly experimental.
bool collective_nccl = 7;
public ConfigProto.Experimental.Builder setDisableOutputPartitionGraphs (valore 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 (valore 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 (valore 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 (valore 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 (valore stringa)
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 (valore 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, valore oggetto)
public ConfigProto.Experimental.Builder setMlirBridgeRollout (valore 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 (valore 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 (valore 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;
public ConfigProto.Experimental.Builder setRecvBufMaxChunk (valore 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, indice int, valore oggetto)
public ConfigProto.Experimental.Builder setSessionMetadata (valore 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 (valore 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 (valore 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;
pubblico finale ConfigProto.Experimental.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
public ConfigProto.Experimental.Builder setUseNumaAffinity (valore 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 (valore lungo)
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;