ConfigProto.ExperimentalOrBuilder

public static interface ConfigProto.ExperimentalOrBuilder

Known Indirect Subclasses ConfigProto.Experimental, ConfigProto.Experimental.Builder ConfigProto.Experimental 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.

Public Methods

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

Public Methods

public abstract boolean getCollectiveDeterministicSequentialExecution ()

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

bool collective_deterministic_sequential_execution = 6;

public abstract String getCollectiveGroupLeader ()

 Task name for group resolution.
 

string collective_group_leader = 1;

public abstract com.google.protobuf.ByteString getCollectiveGroupLeaderBytes ()

 Task name for group resolution.
 

string collective_group_leader = 1;

public abstract boolean getCollectiveNccl ()

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

bool collective_nccl = 7;

public abstract boolean 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 abstract boolean 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 abstract boolean 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 abstract boolean 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 abstract String getExecutorType ()

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

string executor_type = 3;

public abstract 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 abstract 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;

public abstract boolean 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 abstract 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 abstract 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;

public abstract 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 abstract boolean 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 abstract boolean 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 abstract boolean 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 abstract 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 abstract boolean 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;