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