interface statique publique ConfigProto.ExperimentalOrBuilder
| Sous-classes indirectes connues |
Méthodes publiques
| booléen abstrait | getCollectiveDeterministicSequentialExecution () If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances. |
| chaîne abstraite | getCollectiveGroupLeader () Task name for group resolution. |
| résumé com.google.protobuf.ByteString | getCollectiveGroupLeaderBytes () Task name for group resolution. |
| booléen abstrait | getCollectiveNccl () If true, use NCCL for CollectiveOps. |
| booléen abstrait | getDisableOutputPartitionGraphs () If true, the session will not store an additional copy of the graph for each subgraph. |
| booléen abstrait | getDisableThreadSpinning () If using a direct session, disable spinning while waiting for work in the thread pool. |
| booléen abstrait | getEnableMlirBridge () This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521). |
| booléen abstrait | getEnableMlirGraphOptimization () Whether to enable the MLIR-based Graph optimizations. |
| chaîne abstraite | getExecutorType () Which executor to use, the default executor will be used if it is an empty string or "DEFAULT" string executor_type = 3; |
| résumé 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; |
| résumé ConfigProto.Experimental.MlirBridgeRollout | getMlirBridgeRollout () This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). |
| abstrait entier | getMlirBridgeRolloutValue () This field is underdevelopment, for now use enable_mlir_bridge (b/166038521). |
| booléen abstrait | getOptimizeForStaticGraph () If true, the session may treat the graph as being static for optimization purposes. |
| abstrait entier | getRecvBufMaxChunk () Guidance to formatting of large RecvBuf fields for transfer. |
| métadonnées de session abstraites | getSessionMetadata () Metadata about the session. |
| résumé SessionMetadataOrBuilder | getSessionMetadataOrBuilder () Metadata about the session. |
| booléen abstrait | getShareClusterDevicesInSession () This was promoted to a non-experimental API. |
| booléen abstrait | 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 abstrait | getUseNumaAffinity () If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable. |
| abstrait long | getXlaFusionAutotunerThresh () Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled. |
| booléen abstrait | hasSessionMetadata () Metadata about the session. |
Méthodes publiques
public abstrait booléen getCollectiveDeterministicSequentialExecution ()
If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
bool collective_deterministic_sequential_execution = 6; chaîne abstraite publique getCollectiveGroupLeader ()
Task name for group resolution.
string collective_group_leader = 1; résumé public com.google.protobuf.ByteString getCollectiveGroupLeaderBytes ()
Task name for group resolution.
string collective_group_leader = 1; public abstrait booléen getCollectiveNccl ()
If true, use NCCL for CollectiveOps. This feature is highly experimental.
bool collective_nccl = 7; public abstrait 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 abstrait 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 abstrait 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 abstrait 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 abstraite publique getExecutorType ()
Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
string executor_type = 3; résumé 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; résumé 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 abstrait 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 abstrait 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 abstrait 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; résumé 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; résumé 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 abstrait 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 abstrait 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 abstrait 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 abstrait 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 abstrait 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;