ConfigProto.ExperimentalOrBuilder

общедоступный статический интерфейс ConfigProto.ExperimentalOrBuilder

Известные косвенные подклассы ConfigProto.Experimental , ConfigProto.Experimental.Builder ConfigProto.Экспериментальный Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.  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.

Публичные методы

абстрактное логическое значение	getCollectiveDeterministicSequentialExecution () If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
абстрактная строка	getCollectiveGroupLeader () Task name for group resolution.
абстрактный com.google.protobuf.ByteString	getCollectiveGroupLeaderBytes () Task name for group resolution.
абстрактное логическое значение	getCollectiveNccl () If true, use NCCL for CollectiveOps.
абстрактное логическое значение	getDisableOutputPartitionGraphs () If true, the session will not store an additional copy of the graph for each subgraph.
абстрактное логическое значение	getDisableThreadSpinning () If using a direct session, disable spinning while waiting for work in the thread pool.
абстрактное логическое значение	getEnableMlirBridge () This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521).
абстрактное логическое значение	getEnableMlirGraphOptimization () Whether to enable the MLIR-based Graph optimizations.
абстрактная строка	getExecutorType () Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3;
абстрактный 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;
абстрактный ConfigProto.Experimental.MlirBridgeRollout	getMlirBridgeRollout () This field is underdevelopment, for now use enable_mlir_bridge (b/166038521).
абстрактный int	getMlirBridgeRolloutValue () This field is underdevelopment, for now use enable_mlir_bridge (b/166038521).
абстрактное логическое значение	getOptimizeForStaticGraph () If true, the session may treat the graph as being static for optimization purposes.
абстрактный int	getRecvBufMaxChunk () Guidance to formatting of large RecvBuf fields for transfer.
абстрактные сессионные метаданные	getSessionMetadata () Metadata about the session.
абстрактный сеансметадатаорбуилдер	getSessionMetadataOrBuilder () Metadata about the session.
абстрактное логическое значение	getShareClusterDevicesInSession () This was promoted to a non-experimental API.
абстрактное логическое значение	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.
абстрактное логическое значение	getUseNumaAffinity () If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.
абстрактный длинный	getXlaFusionAutotunerThresh () Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.
абстрактное логическое значение	имеетСессионМетаданные () Metadata about the session.

Публичные методы

общедоступное абстрактное логическое значение getCollectiveDeterministicSequentialExecution ()

 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
 

bool collective_deterministic_sequential_execution = 6;

публичная абстрактная строка getCollectiveGroupLeader ()

 Task name for group resolution.
 

string collective_group_leader = 1;

общедоступный абстрактный com.google.protobuf.ByteString getCollectiveGroupLeaderBytes ()

 Task name for group resolution.
 

string collective_group_leader = 1;

общедоступное абстрактное логическое значение getCollectiveNccl ()

 If true, use NCCL for CollectiveOps.  This feature is highly
 experimental.
 

bool collective_nccl = 7;

общедоступное абстрактное логическое значение 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;

общедоступное абстрактное логическое значение 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;

общедоступное абстрактное логическое значение 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;

общедоступное абстрактное логическое значение 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;

общедоступная абстрактная строка getExecutorType ()

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

string executor_type = 3;

общедоступный абстрактный 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;

общедоступный абстрактный 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 Abstract 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;

общедоступное абстрактное логическое значение 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;

общедоступный абстрактный 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;

публичный абстрактный 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;

публичный абстрактный 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;

общедоступное абстрактное логическое значение 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;

общедоступное абстрактное логическое значение 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;

общедоступное абстрактное логическое значение 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;

общедоступный абстрактный длинный 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;

общедоступное абстрактное логическое значение 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;