ConfigProto.Experimental.Builder

सार्वजनिक स्थैतिक अंतिम वर्ग कॉन्फिगप्रोटो.एक्सपेरिमेंटल.बिल्डर

 Everything inside Experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat.
 
प्रोटोबफ प्रकार tensorflow.ConfigProto.Experimental

सार्वजनिक तरीके

कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
कॉन्फिगप्रोटो.प्रायोगिक
कॉन्फिगप्रोटो.प्रायोगिक
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
स्पष्टसामूहिक नियतात्मक अनुक्रमिक निष्पादन ()
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
ClearDisableOutputPartitionGraphs ()
 If true, the session will not store an additional copy of the graph for
 each subgraph.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
ClearDisableThreadSpinning ()
 If using a direct session, disable spinning while waiting for work in
 the thread pool.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
ClearEnableMlirBridge ()
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
ClearEnableMlirGraphऑप्टिमाइज़ेशन ()
 Whether to enable the MLIR-based Graph optimizations.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
क्लियर एक्ज़ीक्यूटर टाइप ()
 Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
 
string executor_type = 3;
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
क्लियरफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
ClearMlirBridgeRollout ()
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
क्लियरऑप्टिमाइज़फॉरस्टैटिकग्राफ ()
 If true, the session may treat the graph as being static for optimization
 purposes.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
क्लियरRecvBufMaxChunk ()
 Guidance to formatting of large RecvBuf fields for transfer.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
क्लियरशेयरसेशनस्टेटइनक्लस्टरस्पेकप्रोपेगेशन ()
 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.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
ClearUseNumaAffinity ()
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
क्लियरXlaFusionऑटोट्यूनरथ्रेश ()
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
बूलियन
getCollectiveDeterministicSequentialExecution ()
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
डोरी
getCollectiveGroupLeader ()
 Task name for group resolution.
com.google.protobuf.ByteString
getCollectiveGroupLeaderBytes ()
 Task name for group resolution.
बूलियन
getCollectiveNccl ()
 If true, use NCCL for CollectiveOps.
कॉन्फिगप्रोटो.प्रायोगिक
अंतिम स्थिर com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
बूलियन
getDisableOutputPartitionGraphs ()
 If true, the session will not store an additional copy of the graph for
 each subgraph.
बूलियन
getDisableThreadSpinning ()
 If using a direct session, disable spinning while waiting for work in
 the thread pool.
बूलियन
getEnableMlirBridge ()
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
बूलियन
getEnableMlirGraphऑप्टिमाइज़ेशन ()
 Whether to enable the MLIR-based Graph optimizations.
डोरी
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;
कॉन्फ़िगप्रोटो.प्रायोगिक.MlirBridgeRollout
getMlirBridgeRollout ()
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
int यहाँ
getMlirBridgeRolloutValue ()
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
बूलियन
getOptimizeForStaticGraph ()
 If true, the session may treat the graph as being static for optimization
 purposes.
int यहाँ
getRecvBufMaxChunk ()
 Guidance to formatting of large RecvBuf fields for transfer.
सत्रमेटाडेटा
getSessionMetadata ()
 Metadata about the session.
सेशनमेटाडेटा.बिल्डर
getSessionMetadataBuilder ()
 Metadata about the session.
सेशनमेटाडेटाऑरबिल्डर
getSessionMetadataOrBuilder ()
 Metadata about the session.
बूलियन
getShareClusterDevicesInSession ()
 This was promoted to a non-experimental API.
बूलियन
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.
बूलियन
getUseNumaAffinity ()
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
लंबा
getXlaFusionAutotunerThresh ()
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.
बूलियन
hasSessionMetadata ()
 Metadata about the session.
अंतिम बूलियन
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
मर्जफ्रॉम (com.google.protobuf.Message अन्य)
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
मर्जफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
अंतिम कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
मर्जअज्ञातफ़ील्ड्स (com.google.protobuf.UnknownFieldSet अज्ञातफ़ील्ड्स)
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setCollectiveDeterministicSequentialExecution (बूलियन मान)
 If true, make collective op execution order sequential and deterministic
 for potentially concurrent collective instances.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setCollectiveGroupLeader (स्ट्रिंग मान)
 Task name for group resolution.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setCollectiveGroupLeaderBytes (com.google.protobuf.ByteString मान)
 Task name for group resolution.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setCollectiveNccl (बूलियन मान)
 If true, use NCCL for CollectiveOps.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setDisableOutputPartitionGraphs (बूलियन मान)
 If true, the session will not store an additional copy of the graph for
 each subgraph.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setDisableThreadSpinning (बूलियन मान)
 If using a direct session, disable spinning while waiting for work in
 the thread pool.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setEnableMlirBridge (बूलियन मान)
 This field will eventually be deprecated and replaced by
 mlir_bridge_rollout (b/166038521).
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setEnableMlirGraphऑप्टिमाइज़ेशन (बूलियन मान)
 Whether to enable the MLIR-based Graph optimizations.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setExecutorType (स्ट्रिंग मान)
 Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
 
string executor_type = 3;
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setExecutorTypeBytes (com.google.protobuf.ByteString मान)
 Which executor to use, the default executor will be used
 if it is an empty string or "DEFAULT"
 
string executor_type = 3;
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
सेटफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setMlirBridgeRollout ( ConfigProto.Experimental.MlirBridgeRollout मान)
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setMlirBridgeRolloutValue (int मान)
 This field is underdevelopment, for now use enable_mlir_bridge
 (b/166038521).
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setOptimizeForStaticGraph (बूलियन मान)
 If true, the session may treat the graph as being static for optimization
 purposes.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setRecvBufMaxChunk (int मान)
 Guidance to formatting of large RecvBuf fields for transfer.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, इंट इंडेक्स, ऑब्जेक्ट वैल्यू)
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setSessionMetadata ( SessionMetadata मान)
 Metadata about the session.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setSessionMetadata ( SessionMetadata.Builder BuilderForValue)
 Metadata about the session.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setShareClusterDevicesInSession (बूलियन मान)
 This was promoted to a non-experimental API.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setShareSessionStateInClusterspecPropagation (बूलियन मान)
 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.
अंतिम कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
अज्ञात फ़ील्ड सेट करें (com.google.protobuf. अज्ञात फ़ील्ड सेट अज्ञात फ़ील्ड)
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setUseNumaAffinity (बूलियन मान)
 If true, and supported by the platform, the runtime will attempt to
 use NUMA affinity where applicable.
कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर
setXlaFusionAutotunerThresh (लंबा मान)
 Minimum number of batches run through the XLA graph before XLA fusion
 autotuner is enabled.

विरासत में मिली विधियाँ

सार्वजनिक तरीके

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक निर्माण ()

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक बिल्डआंशिक ()

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर स्पष्टसामूहिक नियतात्मक अनुक्रमिक निष्पादन ()

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

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर क्लियरकलेक्टिवग्रुपलीडर ()

 Task name for group resolution.
 
string collective_group_leader = 1;

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर क्लियरकलेक्टिवएनसीसीएल ()

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

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर क्लियरडिसेबलआउटपुटपार्टिशनग्राफ ()

 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;

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर क्लियरडिसेबलथ्रेडस्पिनिंग ()

 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;

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर क्लियरइनेबलएमएलआईआरब्रिज ()

 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;

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर क्लियरएनेबलएमलिरग्राफऑप्टिमाइजेशन ()

 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर क्लियरएक्सेक्यूटरटाइप ()

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

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर क्लियरफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर क्लियरएमएलआईआरब्रिजरोलआउट ()

 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर क्लियरवनऑफ़ (com.google.protobuf.Descriptors.OneofDescriptor oneof)

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर क्लियरऑप्टिमाइज़फॉरस्टैटिकग्राफ ()

 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर क्लियरRecvBufMaxChunk ()

 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर क्लियरसेशनमेटाडेटा ()

 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर क्लियरशेयरक्लस्टरडिवाइसेसइनसेशन ()

 This was promoted to a non-experimental API. Please use
 ConfigProto.share_cluster_devices_in_session instead.
 
bool share_cluster_devices_in_session = 10;

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर क्लियरशेयरसेशनस्टेटइनक्लस्टरस्पेकप्रोपेगेशन ()

 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर क्लियरयूज़नुमाएफ़िनिटी ()

 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;

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर क्लियरXlaFusionAutotunerThresh ()

 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;

सार्वजनिक बूलियन getCollectiveDeterministicSequentialExecution ()

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

सार्वजनिक स्ट्रिंग getCollectiveGroupLeader ()

 Task name for group resolution.
 
string collective_group_leader = 1;

सार्वजनिक com.google.protobuf.ByteString getCollectiveGroupLeaderBytes ()

 Task name for group resolution.
 
string collective_group_leader = 1;

सार्वजनिक बूलियन getCollectiveNccl ()

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

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक getDefaultInstanceForType ()

सार्वजनिक स्थैतिक अंतिम com.google.protobuf.Descriptors.Descriptor getDescriptor ()

सार्वजनिक com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

सार्वजनिक बूलियन 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;

सार्वजनिक बूलियन 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;

सार्वजनिक बूलियन 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;

सार्वजनिक बूलियन 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;

सार्वजनिक स्ट्रिंग getExecutorType ()

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

सार्वजनिक 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.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;

सार्वजनिक 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;

सार्वजनिक बूलियन 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;

सार्वजनिक 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;

सार्वजनिक सत्र मेटाडेटा 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;

सार्वजनिक सत्रमेटाडेटा.बिल्डर getSessionMetadataBuilder ()

 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;

सार्वजनिक सत्रमेटाडेटाऑरबिल्डर 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;

सार्वजनिक बूलियन 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;

सार्वजनिक बूलियन 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;

सार्वजनिक बूलियन 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;

सार्वजनिक लंबे 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;

सार्वजनिक बूलियन 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;

सार्वजनिक अंतिम बूलियन आरंभीकृत है ()

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर मर्जफ्रॉम (com.google.protobuf.Message अन्य)

सार्वजनिक कॉन्फिगप्रोटो.एक्सपेरिमेंटल.बिल्डर मर्जफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
आईओ अपवाद

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर मर्जसेशनमेटाडेटा ( सेशनमेटाडेटा मान)

 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;

सार्वजनिक अंतिम कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर मर्जअज्ञातफ़ील्ड्स (com.google.protobuf.UnknownFieldSet अज्ञातफ़ील्ड्स)

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर सेट कलेक्टिवडेटर्मिनिस्टिकसीक्वेंशियल एक्ज़ीक्यूशन (बूलियन मान)

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

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटकलेक्टिवग्रुपलीडर (स्ट्रिंग मान)

 Task name for group resolution.
 
string collective_group_leader = 1;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटकलेक्टिवग्रुपलीडरबाइट्स (com.google.protobuf.ByteString मान)

 Task name for group resolution.
 
string collective_group_leader = 1;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटकलेक्टिवएनसीसीएल (बूलियन मान)

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

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटडिसेबलआउटपुटपार्टिशनग्राफ़ (बूलियन मान)

 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;

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर सेटडिसेबलथ्रेडस्पिनिंग (बूलियन मान)

 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटइनेबलएमएलआईआरब्रिज (बूलियन मान)

 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटइनेबलएमएलआईआरग्राफ़ऑप्टिमाइज़ेशन (बूलियन मान)

 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;

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर सेटएक्सक्यूटरटाइप (स्ट्रिंग मान)

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

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटएक्सेक्यूटरटाइपबाइट्स (com.google.protobuf.ByteString मान)

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

सार्वजनिक कॉन्फ़िगप्रोटो.एक्सपेरिमेंटल.बिल्डर सेटफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक कॉन्फ़िगप्रोटो.एक्सपेरिमेंटल.बिल्डर सेटएमएलआईआरब्रिजरोलआउट ( कॉन्फ़िगप्रोटो.एक्सपेरिमेंटल.एमएलआईआरब्रिजरोलआउट मान)

 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटएमएलआईआरब्रिजरोलआउटवैल्यू (इंट वैल्यू)

 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटऑप्टिमाइज़फॉरस्टैटिकग्राफ़ (बूलियन मान)

 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटRecvBufMaxChunk (int मान)

 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;

सार्वजनिक कॉन्फिगप्रोटो.एक्सपेरिमेंटल.बिल्डर सेटरिपीटेडफिल्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, इंट इंडेक्स, ऑब्जेक्ट वैल्यू)

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटसेशनमेटाडेटा ( सेशनमेटाडेटा मान)

 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटसेशनमेटाडेटा ( सेशनमेटाडेटा.बिल्डर बिल्डरफॉरवैल्यू)

 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;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटशेयरक्लस्टरडिवाइसेसइनसेशन (बूलियन मान)

 This was promoted to a non-experimental API. Please use
 ConfigProto.share_cluster_devices_in_session instead.
 
bool share_cluster_devices_in_session = 10;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटशेयरसेशनस्टेटइनक्लस्टरस्पेकप्रोपेगेशन (बूलियन मान)

 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;

सार्वजनिक अंतिम कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटअज्ञातफ़ील्ड्स (com.google.protobuf.UnknownFieldSet अज्ञातफ़ील्ड्स)

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक.बिल्डर सेटयूज़नुमाएफ़िनिटी (बूलियन मान)

 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;

सार्वजनिक कॉन्फिगप्रोटो.प्रायोगिक.बिल्डर सेटएक्सलाफ्यूजनऑटोट्यूनरथ्रेश (लंबा मान)

 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;