ConfigProto.Experimental

classe final estática pública 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 tipo tensorflow.ConfigProto.Experimental

Classes aninhadas

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

Constantes

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

Métodos Públicos

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

Métodos herdados

Constantes

público estático final int COLLECTIVE_DETERMINISTIC_SEQUENTIAL_EXECUTION_FIELD_NUMBER

Valor Constante: 6

público estático final int COLLECTIVE_GROUP_LEADER_FIELD_NUMBER

Valor Constante: 1

público estático final int COLLECTIVE_NCCL_FIELD_NUMBER

Valor Constante: 7

público estático final int DISABLE_OUTPUT_PARTITION_GRAPHS_FIELD_NUMBER

Valor Constante: 14

público estático final int DISABLE_THREAD_SPINNING_FIELD_NUMBER

Valor Constante: 9

público estático final int ENABLE_MLIR_BRIDGE_FIELD_NUMBER

Valor Constante: 13

público estático final int ENABLE_MLIR_GRAPH_OPTIMIZATION_FIELD_NUMBER

Valor Constante: 16

público estático final int EXECUTOR_TYPE_FIELD_NUMBER

Valor Constante: 3

público estático final int MLIR_BRIDGE_ROLLOUT_FIELD_NUMBER

Valor Constante: 17

público estático final int OPTIMIZE_FOR_STATIC_GRAPH_FIELD_NUMBER

Valor Constante: 12

público estático final int RECV_BUF_MAX_CHUNK_FIELD_NUMBER

Valor Constante: 4

público estático final int SESSION_METADATA_FIELD_NUMBER

Valor Constante: 11

público estático final int SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER

Valor Constante: 10

público estático final int SHARE_SESSION_STATE_IN_CLUSTERSPEC_PROPAGATION_FIELD_NUMBER

Valor Constante: 8

público estático final int USE_NUMA_AFFINITY_FIELD_NUMBER

Valor Constante: 5

público estático final int XLA_FUSION_AUTOTUNER_THRESH_FIELD_NUMBER

Valor Constante: 15

Métodos Públicos

booleano público é igual (Object obj)

público booleano getCollectiveDeterministicSequentialExecution ()

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

String pública getCollectiveGroupLeader ()

 Task name for group resolution.
 
string collective_group_leader = 1;

público com.google.protobuf.ByteString getCollectiveGroupLeaderBytes ()

 Task name for group resolution.
 
string collective_group_leader = 1;

público booleano getCollectiveNccl ()

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

público estático ConfigProto.Experimental getDefaultInstance ()

public ConfigProto.Experimental getDefaultInstanceForType ()

final estático público com.google.protobuf.Descriptors.Descriptor getDescriptor ()

getDisableOutputPartitionGraphs booleano público ()

 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;

getDisableThreadSpinning booleano público ()

 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;

getEnableMlirBridge booleano público ()

 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;

getEnableMlirGraphOptimization booleano público ()

 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 pública getExecutorType ()

 Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
 
string executor_type = 3;

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;

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;

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;

getOptimizeForStaticGraph booleano público ()

 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;

público getParserForType ()

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 int getSerializedSize ()

SessionMetadata pública 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;

público 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 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;

final público com.google.protobuf.UnknownFieldSet getUnknownFields ()

getUseNumaAffinity booleano público ()

 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 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;

hasSessionMetadata booleano público ()

 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;

hashCode int público ()

público final booleano isInitialized ()

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

público estático ConfigProto.Experimental.Builder newBuilder ()

público ConfigProto.Experimental.Builder newBuilderForType ()

public static ConfigProto.Experimental parseDelimitedFrom (entrada InputStream)

Lança
IOException

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

Lança
IOException

public static ConfigProto.Experimental parseFrom (dados ByteBuffer)

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

ConfigProto.Experimental parseFrom estático público (dados com.google.protobuf.ByteString)

Lança
InvalidProtocolBufferException

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

Lança
IOException

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

Lança
InvalidProtocolBufferException

estática pública analisador ()

ConfigProto.Experimental.Builder público paraBuilder ()

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

Lança
IOException