ConfigProto.Experimental

パブリック静的最終クラス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 型tensorflow.ConfigProto.Experimental

ネストされたクラス

クラス	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.
列挙型	ConfigProto.Experimental.MlirBridgeRollout		An enum that describes the state of the MLIR bridge rollout.

定数

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

パブリックメソッド

ブール値	等しい(オブジェクトオブジェクト)
ブール値	getCollectiveDeterministicSequentialExecution () If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
弦	getCollectiveGroupLeader () Task name for group resolution.
com.google.protobuf.ByteString	getCollectiveGroupLeaderBytes () Task name for group resolution.
ブール値	getCollectiveNccl () If true, use NCCL for CollectiveOps.
静的ConfigProto.Experimental	getDefaultInstance ()
ConfigProto.Experimental	getDefaultInstanceForType ()
最終的な静的 com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
ブール値	getDisableOutputPartitionGraphs () If true, the session will not store an additional copy of the graph for each subgraph.
ブール値	getDisableThreadSpinning () If using a direct session, disable spinning while waiting for work in the thread pool.
ブール値	getEnableMlirBridge () This field will eventually be deprecated and replaced by mlir_bridge_rollout (b/166038521).
ブール値	getEnableMlirGraphOptimization () Whether to enable the MLIR-based Graph optimizations.
弦	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).
整数	getMlirBridgeRolloutValue () This field is underdevelopment, for now use enable_mlir_bridge (b/166038521).
ブール値	getOptimizeForStaticGraph () If true, the session may treat the graph as being static for optimization purposes.
	getParserForType ()
整数	getRecvBufMaxChunk () Guidance to formatting of large RecvBuf fields for transfer.
整数	getSerializedSize ()
セッションメタデータ	getSessionMetadata () Metadata about the session.
セッションメタデータまたはビルダー	getSessionMetadataOrBuilder () Metadata about the session.
ブール値	getShareClusterDevicesInSession () This was promoted to a non-experimental API.
ブール値	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.
最終的な com.google.protobuf.UnknownFieldSet	getUnknownFields ()
ブール値	getUseNumaAffinity () If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.
長さ	getXlaFusionAutotunerThresh () Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.
ブール値	hasSessionMetadata () Metadata about the session.
整数	ハッシュコード（）
最終ブール値	isInitialized ()
静的ConfigProto.Experimental.Builder	newBuilder ( ConfigProto.Experimentalプロトタイプ)
静的ConfigProto.Experimental.Builder	newBuilder ()
ConfigProto.Experimental.Builder	newBuilderForType ()
静的ConfigProto.Experimental	parseDelimitedFrom (InputStream 入力)
静的ConfigProto.Experimental	parseDelimitedFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的ConfigProto.Experimental	parseFrom (ByteBuffer データ)
静的ConfigProto.Experimental	parseFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的ConfigProto.Experimental	parseFrom (ByteBuffer データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的ConfigProto.Experimental	parseFrom (com.google.protobuf.CodedInputStream 入力)
静的ConfigProto.Experimental	parseFrom (byte[] データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的ConfigProto.Experimental	parseFrom (com.google.protobuf.ByteString データ)
静的ConfigProto.Experimental	parseFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的ConfigProto.Experimental	parseFrom (com.google.protobuf.ByteString データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的	パーサー()
ConfigProto.Experimental.Builder	toビルダー()
空所	writeTo (com.google.protobuf.CodedOutputStream 出力)

継承されたメソッド

クラスjava.lang.Objectから

ブール値	等しい(オブジェクト arg0)
最終クラス<?>	getクラス()
整数	ハッシュコード（）
最後の空白	通知する()
最後の空白	すべて通知()
弦	toString ()
最後の空白	wait (long arg0, int arg1)
最後の空白	待機(長い引数0)
最後の空白	待って（）

インターフェースorg.tensorflow.proto.framework.ConfigProto.ExperimentalOrBuilderより

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

定数

public static Final int COLLECTIVE_DETERMINISTIC_SEQUENTIAL_EXECUTION_FIELD_NUMBER

定数値: 6

public static Final int COLLECTIVE_GROUP_LEADER_FIELD_NUMBER

定数値: 1

public static Final int COLLECTIVE_NCCL_FIELD_NUMBER

定数値: 7

パブリック静的最終整数DISABLE_OUTPUT_PARTITION_GRAPHS_FIELD_NUMBER

定数値: 14

パブリック静的最終整数DISABLE_THREAD_SPINNING_FIELD_NUMBER

定数値: 9

パブリック静的最終整数ENABLE_MLIR_BRIDGE_FIELD_NUMBER

定数値: 13

パブリック静的最終整数ENABLE_MLIR_GRAPH_OPTIMIZATION_FIELD_NUMBER

定数値: 16

パブリック静的最終整数EXECUTOR_TYPE_FIELD_NUMBER

定数値: 3

パブリック静的最終整数MLIR_BRIDGE_ROLLOUT_FIELD_NUMBER

定数値: 17

パブリック静的最終整数OPTIMIZE_FOR_STATIC_GRAPH_FIELD_NUMBER

定数値: 12

パブリック静的最終整数RECV_BUF_MAX_CHUNK_FIELD_NUMBER

定数値: 4

パブリック静的最終整数SESSION_METADATA_FIELD_NUMBER

定数値: 11

public static Final int SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER

定数値: 10

public static Final int SHARE_SESSION_STATE_IN_CLUSTERSPEC_PROPAGATION_FIELD_NUMBER

定数値: 8

パブリック静的最終整数USE_NUMA_AFFINITY_FIELD_NUMBER

定数値: 5

パブリック静的最終整数XLA_FUSION_AUTOTUNER_THRESH_FIELD_NUMBER

定数値: 15

パブリックメソッド

public booleanに等しい(オブジェクト 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;

公共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 ()

パブリック最終ブール値isInitialized ()

public static ConfigProto.Experimental.Builder newBuilder ( ConfigProto.Experimentalプロトタイプ)

public static ConfigProto.Experimental.Builder newBuilder ()

public ConfigProto.Experimental.Builder newBuilderForType ()

public static ConfigProto.Experimental parseDelimitedFrom (InputStream 入力)

投げる

IO例外

public static ConfigProto.Experimental parseDelimitedFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる

IO例外

public static ConfigProto.Experimental parseFrom (ByteBuffer データ)

投げる

無効なプロトコルバッファ例外

public static ConfigProto.Experimental parseFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる

IO例外

public static ConfigProto.Experimental parseFrom (ByteBuffer データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる

無効なプロトコルバッファ例外

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

投げる

IO例外

public static ConfigProto.Experimental parseFrom (byte[] データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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無効なプロトコルバッファ例外

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

投げる

無効なプロトコルバッファ例外

public static ConfigProto.Experimental parseFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる

IO例外

public static ConfigProto.Experimental parseFrom (com.google.protobuf.ByteString データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる

無効なプロトコルバッファ例外

パブリック静的パーサー()

public ConfigProto.Experimental.Builder toBuilder ()

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

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IO例外