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