ConfigProto.Experimental

공개 정적 최종 클래스 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 유형 tensorflow.ConfigProto.Experimental

중첩 클래스

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

상수

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

공개 방법

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

상속된 메서드

상수

공개 정적 최종 int COLLECTIVE_DETERMINISTIC_SEQUENTIAL_EXECUTION_FIELD_NUMBER

상수값: 6

공개 정적 최종 int COLLECTIVE_GROUP_LEADER_FIELD_NUMBER

상수값: 1

공개 정적 최종 int COLLECTIVE_NCCL_FIELD_NUMBER

상수값: 7

공개 정적 최종 int DISABLE_OUTPUT_PARTITION_GRAPHS_FIELD_NUMBER

상수값: 14

공개 정적 최종 int DISABLE_THREAD_SPINNING_FIELD_NUMBER

상수값: 9

공개 정적 최종 int ENABLE_MLIR_BRIDGE_FIELD_NUMBER

상수값: 13

공개 정적 최종 int ENABLE_MLIR_GRAPH_OPTIMIZATION_FIELD_NUMBER

상수값: 16

공개 정적 최종 int EXECUTOR_TYPE_FIELD_NUMBER

상수값: 3

공개 정적 최종 int MLIR_BRIDGE_ROLLOUT_FIELD_NUMBER

상수값: 17

공개 정적 최종 int OPTIMIZE_FOR_STATIC_GRAPH_FIELD_NUMBER

상수값: 12

공개 정적 최종 int RECV_BUF_MAX_CHUNK_FIELD_NUMBER

상수값: 4

공개 정적 최종 int SESSION_METADATA_FIELD_NUMBER

상수값: 11

공개 정적 최종 int SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER

상수값: 10

공개 정적 최종 int SHARE_SESSION_STATE_IN_CLUSTERSPEC_PROPAGATION_FIELD_NUMBER

상수값: 8

공개 정적 최종 int USE_NUMA_AFFINITY_FIELD_NUMBER

상수값: 5

공개 정적 최종 int XLA_FUSION_AUTOTUNER_THRESH_FIELD_NUMBER

상수값: 15

공개 방법

공개 부울은 (객체 obj) 와 같습니다 .

공개 부울 getCollectiveDeterministicSequentialExecution ()

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

공개 문자열 getCollectiveGroupLeader ()

 Task name for group resolution.
 
string collective_group_leader = 1;

공개 com.google.protobuf.ByteString getCollectiveGroupLeaderBytes ()

 Task name for group resolution.
 
string collective_group_leader = 1;

공개 부울 getCollectiveNccl ()

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

공개 정적 ConfigProto.Experimental getDefaultInstance ()

공개 ConfigProto.Experimental getDefaultInstanceForType ()

공개 정적 최종 com.google.protobuf.Descriptors.Descriptor getDescriptor ()

공개 부울 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;

공개 부울 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;

공개 부울 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;

공개 부울 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;

공개 문자열 getExecutorType ()

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

공개 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;

공개 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;

공개 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;

공개 부울 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;

공공의 getParserForType ()

공개 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;

공개 int getSerializedSize ()

공개 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;

공개 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;

공개 부울 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;

공개 부울 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;

공개 최종 com.google.protobuf.UnknownFieldSet getUnknownFields ()

공개 부울 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;

공개 긴 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;

공개 부울 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;

공개 int hashCode ()

공개 최종 부울 isInitialized ()

공개 정적 ConfigProto.Experimental.Builder newBuilder ( ConfigProto.Experimental 프로토타입)

공개 정적 ConfigProto.Experimental.Builder newBuilder ()

공개 ConfigProto.Experimental.Builder newBuilderForType ()

공개 정적 ConfigProto.Experimental parseDelimitedFrom (InputStream 입력)

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공개 정적 ConfigProto.ExperimentalparseDelimitedFrom ( InputStream 입력, com.google.protobuf.ExtensionRegistryLite 확장Registry)

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공개 정적 ConfigProto.Experimental parsFrom (ByteBuffer 데이터)

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공개 정적 ConfigProto.ExperimentalparseFrom ( com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite 확장Registry)

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공개 정적 ConfigProto.Experimental parsFrom (ByteBuffer 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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공개 정적 ConfigProto.ExperimentalparseFrom ( com.google.protobuf.CodedInputStream 입력)

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공개 정적 ConfigProto.ExperimentalparseFrom ( byte[] 데이터, com.google.protobuf.ExtensionRegistryLite 확장Registry)

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공개 정적 ConfigProto.Experimental parsFrom (com.google.protobuf.ByteString 데이터)

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공개 정적 ConfigProto.ExperimentalparseFrom ( InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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공개 정적 ConfigProto.ExperimentalparseFrom ( com.google.protobuf.ByteString 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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공개 정적 파서 ()

공개 ConfigProto.Experimental.Builder toBuilder ()

공개 무효 writeTo (com.google.protobuf.CodedOutputStream 출력)

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