ConfigProto.Experimental

public static final class 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.
 
Protobuf type tensorflow.ConfigProto.Experimental

Nested Classes

class 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. 
enum ConfigProto.Experimental.MlirBridgeRollout
 An enum that describes the state of the MLIR bridge rollout. 

Constants

int COLLECTIVE_DETERMINISTIC_SEQUENTIAL_EXECUTION_FIELD_NUMBER
int COLLECTIVE_GROUP_LEADER_FIELD_NUMBER
int COLLECTIVE_NCCL_FIELD_NUMBER
int DISABLE_OUTPUT_PARTITION_GRAPHS_FIELD_NUMBER
int DISABLE_THREAD_SPINNING_FIELD_NUMBER
int ENABLE_MLIR_BRIDGE_FIELD_NUMBER
int ENABLE_MLIR_GRAPH_OPTIMIZATION_FIELD_NUMBER
int EXECUTOR_TYPE_FIELD_NUMBER
int MLIR_BRIDGE_ROLLOUT_FIELD_NUMBER
int OPTIMIZE_FOR_STATIC_GRAPH_FIELD_NUMBER
int RECV_BUF_MAX_CHUNK_FIELD_NUMBER
int SESSION_METADATA_FIELD_NUMBER
int SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER
int SHARE_SESSION_STATE_IN_CLUSTERSPEC_PROPAGATION_FIELD_NUMBER
int USE_NUMA_AFFINITY_FIELD_NUMBER
int XLA_FUSION_AUTOTUNER_THRESH_FIELD_NUMBER

Public Methods

boolean
equals(Object obj)
boolean
getCollectiveDeterministicSequentialExecution()
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
String
getCollectiveGroupLeader()
 Task name for group resolution.
com.google.protobuf.ByteString
getCollectiveGroupLeaderBytes()
 Task name for group resolution.
boolean
getCollectiveNccl()
 If true, use NCCL for CollectiveOps.
static ConfigProto.Experimental
ConfigProto.Experimental
final static com.google.protobuf.Descriptors.Descriptor
boolean
getDisableOutputPartitionGraphs()
 If true, the session will not store an additional copy of the graph for
 each subgraph.
boolean
getDisableThreadSpinning()
 If using a direct session, disable spinning while waiting for work in
 the thread pool.
boolean
getEnableMlirBridge()
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
boolean
getEnableMlirGraphOptimization()
 Whether to enable the MLIR-based Graph optimizations.
String
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).
int
getMlirBridgeRolloutValue()
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
boolean
getOptimizeForStaticGraph()
 If true, the session may treat the graph as being static for optimization
 purposes.
int
getRecvBufMaxChunk()
 Guidance to formatting of large RecvBuf fields for transfer.
int
SessionMetadata
getSessionMetadata()
 Metadata about the session.
SessionMetadataOrBuilder
getSessionMetadataOrBuilder()
 Metadata about the session.
boolean
getShareClusterDevicesInSession()
 This was promoted to a non-experimental API.
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.
final com.google.protobuf.UnknownFieldSet
boolean
getUseNumaAffinity()
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
long
getXlaFusionAutotunerThresh()
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.
boolean
hasSessionMetadata()
 Metadata about the session.
int
final boolean
static ConfigProto.Experimental.Builder
static ConfigProto.Experimental.Builder
ConfigProto.Experimental.Builder
static ConfigProto.Experimental
parseDelimitedFrom(InputStream input)
static ConfigProto.Experimental
parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ConfigProto.Experimental
parseFrom(ByteBuffer data)
static ConfigProto.Experimental
parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ConfigProto.Experimental
parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ConfigProto.Experimental
parseFrom(com.google.protobuf.CodedInputStream input)
static ConfigProto.Experimental
parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ConfigProto.Experimental
parseFrom(com.google.protobuf.ByteString data)
static ConfigProto.Experimental
parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ConfigProto.Experimental
parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static
parser()
ConfigProto.Experimental.Builder
void
writeTo(com.google.protobuf.CodedOutputStream output)

Inherited Methods

Constants

public static final int COLLECTIVE_DETERMINISTIC_SEQUENTIAL_EXECUTION_FIELD_NUMBER

Constant Value: 6

public static final int COLLECTIVE_GROUP_LEADER_FIELD_NUMBER

Constant Value: 1

public static final int COLLECTIVE_NCCL_FIELD_NUMBER

Constant Value: 7

public static final int DISABLE_OUTPUT_PARTITION_GRAPHS_FIELD_NUMBER

Constant Value: 14

public static final int DISABLE_THREAD_SPINNING_FIELD_NUMBER

Constant Value: 9

public static final int ENABLE_MLIR_BRIDGE_FIELD_NUMBER

Constant Value: 13

public static final int ENABLE_MLIR_GRAPH_OPTIMIZATION_FIELD_NUMBER

Constant Value: 16

public static final int EXECUTOR_TYPE_FIELD_NUMBER

Constant Value: 3

public static final int MLIR_BRIDGE_ROLLOUT_FIELD_NUMBER

Constant Value: 17

public static final int OPTIMIZE_FOR_STATIC_GRAPH_FIELD_NUMBER

Constant Value: 12

public static final int RECV_BUF_MAX_CHUNK_FIELD_NUMBER

Constant Value: 4

public static final int SESSION_METADATA_FIELD_NUMBER

Constant Value: 11

public static final int SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER

Constant Value: 10

public static final int SHARE_SESSION_STATE_IN_CLUSTERSPEC_PROPAGATION_FIELD_NUMBER

Constant Value: 8

public static final int USE_NUMA_AFFINITY_FIELD_NUMBER

Constant Value: 5

public static final int XLA_FUSION_AUTOTUNER_THRESH_FIELD_NUMBER

Constant Value: 15

Public Methods

public boolean equals (Object obj)

public boolean getCollectiveDeterministicSequentialExecution ()

 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
 
bool collective_deterministic_sequential_execution = 6;

public String getCollectiveGroupLeader ()

 Task name for group resolution.
 
string collective_group_leader = 1;

public com.google.protobuf.ByteString getCollectiveGroupLeaderBytes ()

 Task name for group resolution.
 
string collective_group_leader = 1;

public boolean getCollectiveNccl ()

 If true, use NCCL for CollectiveOps.  This feature is highly
 experimental.
 
bool collective_nccl = 7;

public static ConfigProto.Experimental getDefaultInstance ()

public ConfigProto.Experimental getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public 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 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 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 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 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 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;

public 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 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 getParserForType ()

public 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 int getSerializedSize ()

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;

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 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 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 final com.google.protobuf.UnknownFieldSet getUnknownFields ()

public 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 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 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;

public int hashCode ()

public final boolean isInitialized ()

public static ConfigProto.Experimental.Builder newBuilder (ConfigProto.Experimental prototype)

public static ConfigProto.Experimental.Builder newBuilder ()

public ConfigProto.Experimental.Builder newBuilderForType ()

public static ConfigProto.Experimental parseDelimitedFrom (InputStream input)

Throws
IOException

public static ConfigProto.Experimental parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static ConfigProto.Experimental parseFrom (ByteBuffer data)

Throws
InvalidProtocolBufferException

public static ConfigProto.Experimental parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static ConfigProto.Experimental parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static ConfigProto.Experimental parseFrom (com.google.protobuf.CodedInputStream input)

Throws
IOException

public static ConfigProto.Experimental parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static ConfigProto.Experimental parseFrom (com.google.protobuf.ByteString data)

Throws
InvalidProtocolBufferException

public static ConfigProto.Experimental parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
IOException

public static ConfigProto.Experimental parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws
InvalidProtocolBufferException

public static parser ()

public ConfigProto.Experimental.Builder toBuilder ()

public void writeTo (com.google.protobuf.CodedOutputStream output)

Throws
IOException