ConfigProto

सार्वजनिक अंतिम वर्ग कॉन्फ़िगप्रोटो

 Session configuration parameters.
 The system picks appropriate values for fields that are not set.
प्रोटोबफ़ प्रकार tensorflow.ConfigProto

नेस्टेड क्लासेस

कक्षा कॉन्फिगप्रोटो.बिल्डर 
 Session configuration parameters. 
कक्षा कॉन्फिगप्रोटो.प्रायोगिक 
 Everything inside Experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat. 
इंटरफ़ेस कॉन्फिगप्रोटो.एक्सपेरिमेंटलऑरबिल्डर

स्थिरांक

int यहाँ ALLOW_SOFT_PLACEMENT_FIELD_NUMBER
int यहाँ CLUSTER_DEF_FIELD_NUMBER
int यहाँ DEVICE_COUNT_FIELD_NUMBER
int यहाँ DEVICE_FILTERS_FIELD_NUMBER
int यहाँ EXPERIMENTAL_FIELD_NUMBER
int यहाँ GPU_OPTIONS_FIELD_NUMBER
int यहाँ GRAPH_OPTIONS_FIELD_NUMBER
int यहाँ INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER
int यहाँ INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER
int यहाँ ISOLATE_SESSION_STATE_FIELD_NUMBER
int यहाँ LOG_DEVICE_PLACEMENT_FIELD_NUMBER
int यहाँ OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER
int यहाँ प्लेसमेंट_PERIOD_FIELD_NUMBER
int यहाँ RPC_OPTIONS_FIELD_NUMBER
int यहाँ SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER
int यहाँ SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER
int यहाँ USE_PER_SESSION_THREADS_FIELD_NUMBER

सार्वजनिक तरीके

बूलियन
इसमेंडिवाइसकाउंट (स्ट्रिंग कुंजी) शामिल है 
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
बूलियन
बराबर (वस्तु वस्तु)
बूलियन
GetAllowSoftPlacement () 
 Whether soft placement is allowed.
क्लस्टरडेफ़
getClusterDef () 
 Optional list of all workers to use in this session.
क्लस्टरडिफऑरबिल्डर
getClusterDefOrBuilder () 
 Optional list of all workers to use in this session.
स्थैतिक कॉन्फ़िगप्रोटो
getDefaultInstance ()
कॉन्फ़िगप्रोटो
getDefaultInstanceForType ()
अंतिम स्थिर com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
मानचित्र<स्ट्रिंग, पूर्णांक>
getDeviceCount ()
इसके बजाय getDeviceCountMap() उपयोग करें।
int यहाँ
getDeviceCountCount () 
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
मानचित्र<स्ट्रिंग, पूर्णांक>
getDeviceCountMap () 
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
int यहाँ
getDeviceCountOrDefault (स्ट्रिंग कुंजी, int defaultValue) 
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
int यहाँ
getDeviceCountOrThrow (स्ट्रिंग कुंजी) 
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
डोरी
getDeviceFilters (इंट इंडेक्स) 
 When any filters are present sessions will ignore all devices which do not
 match the filters.
com.google.protobuf.ByteString
getDeviceFiltersBytes (इंट इंडेक्स) 
 When any filters are present sessions will ignore all devices which do not
 match the filters.
int यहाँ
getDeviceFiltersCount () 
 When any filters are present sessions will ignore all devices which do not
 match the filters.
com.google.protobuf.ProtocolStringList
getDeviceFiltersList () 
 When any filters are present sessions will ignore all devices which do not
 match the filters.
कॉन्फिगप्रोटो.प्रायोगिक
प्रयोगात्मक प्राप्त करें ()
.tensorflow.ConfigProto.Experimental experimental = 16;
कॉन्फिगप्रोटो.एक्सपेरिमेंटलऑरबिल्डर
getExperimentalOrBuilder ()
.tensorflow.ConfigProto.Experimental experimental = 16;
जीपीयूविकल्प
getGpuOptions () 
 Options that apply to all GPUs.
GPUOptionsOrBuilder
getGpuOptionsOrBuilder () 
 Options that apply to all GPUs.
ग्राफ़ विकल्प
गेटग्राफऑप्शंस () 
 Options that apply to all graphs.
ग्राफ़ऑप्शंसऑरबिल्डर
getGraphOptionsOrBuilder () 
 Options that apply to all graphs.
int यहाँ
getInterOpParallelismThreads () 
 Nodes that perform blocking operations are enqueued on a pool of
 inter_op_parallelism_threads available in each process.
int यहाँ
getIntraOpParallelismThreads () 
 The execution of an individual op (for some op types) can be
 parallelized on a pool of intra_op_parallelism_threads.
बूलियन
getIsolatSessionState () 
 If true, any resources such as Variables used in the session will not be
 shared with other sessions.
बूलियन
getLogDevicePlacement () 
 Whether device placements should be logged.
लंबा
getOperationTimeoutInMs () 
 Global timeout for all blocking operations in this session.
getParserForType ()
int यहाँ
प्लेसमेंटअवधि प्राप्त करें () 
 Assignment of Nodes to Devices is recomputed every placement_period
 steps until the system warms up (at which point the recomputation
 typically slows down automatically).
आरपीसीओ विकल्प
getRpcOptions () 
 Options that apply when this session uses the distributed runtime.
आरपीसीओप्शनऑरबिल्डर
getRpcOptionsOrBuilder () 
 Options that apply when this session uses the distributed runtime.
int यहाँ
getSerializedआकार ()
थ्रेडपूलऑप्शनप्रोटो
getSessionInterOpThreadPool (int अनुक्रमणिका) 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
int यहाँ
getSessionInterOpThreadPoolCount () 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
सूची < थ्रेडपूलऑप्शनप्रोटो >
getSessionInterOpThreadPoolList () 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
थ्रेडपूलऑप्शनप्रोटोऑरबिल्डर
getSessionInterOpThreadPoolOrBuilder (int अनुक्रमणिका) 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
सूची<? ThreadPoolOptionProtoOrBuilder > का विस्तार करता है
getSessionInterOpThreadPoolOrBuilderList () 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
बूलियन
getShareClusterDevicesInSession () 
 When true, WorkerSessions are created with device attributes from the
 full cluster.
अंतिम com.google.protobuf.UnknownFieldSet
अज्ञात फ़ील्ड प्राप्त करें ()
बूलियन
getUsePerSessionThreads () 
 If true, use a new set of threads for this session rather than the global
 pool of threads.
बूलियन
हैक्लस्टरडिफ () 
 Optional list of all workers to use in this session.
बूलियन
प्रयोगात्मक है ()
.tensorflow.ConfigProto.Experimental experimental = 16;
बूलियन
hasGpuOptions () 
 Options that apply to all GPUs.
बूलियन
हैग्राफ़ विकल्प () 
 Options that apply to all graphs.
बूलियन
hasRpcOptions () 
 Options that apply when this session uses the distributed runtime.
int यहाँ
हैशकोड ()
अंतिम बूलियन
प्रारंभ किया गया है ()
स्थिर कॉन्फ़िगप्रोटो.बिल्डर
नयाबिल्डर ()
स्थिर कॉन्फ़िगप्रोटो.बिल्डर
न्यूबिल्डर ( कॉन्फिगप्रोटो प्रोटोटाइप)
कॉन्फिगप्रोटो.बिल्डर
न्यूबिल्डरफॉरटाइप ()
स्थैतिक कॉन्फ़िगप्रोटो
parseDelimitedFrom (इनपुटस्ट्रीम इनपुट)
स्थैतिक कॉन्फ़िगप्रोटो
parseDelimitedFrom (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थैतिक कॉन्फ़िगप्रोटो
पार्सफ्रॉम (बाइटबफ़र डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थैतिक कॉन्फ़िगप्रोटो
parseFrom (com.google.protobuf.CodedInputStream इनपुट)
स्थैतिक कॉन्फ़िगप्रोटो
पार्सफ्रॉम (बाइट[] डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थैतिक कॉन्फ़िगप्रोटो
पार्सफ्रॉम (बाइटबफ़र डेटा)
स्थैतिक कॉन्फ़िगप्रोटो
parseFrom (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थैतिक कॉन्फ़िगप्रोटो
parseFrom (com.google.protobuf.ByteString डेटा)
स्थैतिक कॉन्फ़िगप्रोटो
पार्सफ्रॉम (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थैतिक कॉन्फ़िगप्रोटो
parseFrom (com.google.protobuf.ByteString डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
स्थिर
पार्सर ()
कॉन्फिगप्रोटो.बिल्डर
टूबिल्डर ()
खालीपन
राइटटू (com.google.protobuf.CodedOutputStream आउटपुट)

विरासत में मिले तरीके

स्थिरांक

सार्वजनिक स्थैतिक अंतिम पूर्णांक ALLOW_SOFT_PLACEMENT_FIELD_NUMBER

स्थिर मान: 7

सार्वजनिक स्थैतिक अंतिम पूर्णांक CLUSTER_DEF_FIELD_NUMBER

स्थिर मान: 14

सार्वजनिक स्थैतिक अंतिम पूर्णांक DEVICE_COUNT_FIELD_NUMBER

स्थिर मान: 1

सार्वजनिक स्थैतिक अंतिम पूर्णांक DEVICE_FILTERS_FIELD_NUMBER

स्थिर मान: 4

सार्वजनिक स्थैतिक अंतिम पूर्णांक EXPERIMENTAL_FIELD_NUMBER

स्थिर मान: 16

सार्वजनिक स्थैतिक अंतिम पूर्णांक GPU_OPTIONS_FIELD_NUMBER

स्थिर मान: 6

सार्वजनिक स्थैतिक अंतिम पूर्णांक GRAPH_OPTIONS_FIELD_NUMBER

स्थिर मान: 10

सार्वजनिक स्थैतिक अंतिम पूर्णांक INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER

स्थिर मान: 5

सार्वजनिक स्थैतिक अंतिम int INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER

स्थिर मान: 2

सार्वजनिक स्थैतिक अंतिम पूर्णांक ISOLATE_SESSION_STATE_FIELD_NUMBER

स्थिर मान: 15

सार्वजनिक स्थैतिक अंतिम पूर्णांक LOG_DEVICE_PLACEMENT_FIELD_NUMBER

स्थिर मान: 8

सार्वजनिक स्थैतिक अंतिम पूर्णांक OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER

स्थिर मान: 11

सार्वजनिक स्थैतिक अंतिम पूर्णांक PLACEMENT_PERIOD_FIELD_NUMBER

स्थिर मान: 3

सार्वजनिक स्थैतिक अंतिम पूर्णांक RPC_OPTIONS_FIELD_NUMBER

स्थिर मान: 13

सार्वजनिक स्थैतिक अंतिम int SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER

स्थिर मान: 12

सार्वजनिक स्थैतिक अंतिम पूर्णांक SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER

स्थिर मान: 17

सार्वजनिक स्थैतिक अंतिम पूर्णांक USE_PER_SESSION_THREADS_FIELD_NUMBER

स्थिर मान: 9

सार्वजनिक तरीके

सार्वजनिक बूलियन में डिवाइसकाउंट (स्ट्रिंग कुंजी) शामिल है 

 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
map<string, int32> device_count = 1;

सार्वजनिक बूलियन बराबर (ऑब्जेक्ट obj)

सार्वजनिक बूलियन getAllowSoftPlacement () 

 Whether soft placement is allowed. If allow_soft_placement is true,
 an op will be placed on CPU if
   1. there's no GPU implementation for the OP
 or
   2. no GPU devices are known or registered
 or
   3. need to co-locate with reftype input(s) which are from CPU.
bool allow_soft_placement = 7;

सार्वजनिक क्लस्टरडिफ getClusterDef () 

 Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;

सार्वजनिक ClusterDefOrBuilder getClusterDefOrBuilder () 

 Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;

सार्वजनिक स्थैतिक कॉन्फिगप्रोटो getDefaultInstance ()

सार्वजनिक कॉन्फ़िगप्रोटो getDefaultInstanceForType ()

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

सार्वजनिक मानचित्र<स्ट्रिंग, पूर्णांक> getDeviceCount ()

इसके बजाय getDeviceCountMap() उपयोग करें।

सार्वजनिक int getDeviceCountCount () 

 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
map<string, int32> device_count = 1;

सार्वजनिक मानचित्र<स्ट्रिंग, पूर्णांक> getDeviceCountMap () 

 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
map<string, int32> device_count = 1;

सार्वजनिक int getDeviceCountOrDefault (स्ट्रिंग कुंजी, int defaultValue) 

 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
map<string, int32> device_count = 1;

सार्वजनिक int getDeviceCountOrThrow (स्ट्रिंग कुंजी) 

 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
map<string, int32> device_count = 1;

सार्वजनिक स्ट्रिंग getDeviceFilters (int अनुक्रमणिका) 

 When any filters are present sessions will ignore all devices which do not
 match the filters. Each filter can be partially specified, e.g. "/job:ps"
 "/job:worker/replica:3", etc.
repeated string device_filters = 4;

सार्वजनिक com.google.protobuf.ByteString getDeviceFiltersBytes (int अनुक्रमणिका) 

 When any filters are present sessions will ignore all devices which do not
 match the filters. Each filter can be partially specified, e.g. "/job:ps"
 "/job:worker/replica:3", etc.
repeated string device_filters = 4;

सार्वजनिक int getDeviceFiltersCount () 

 When any filters are present sessions will ignore all devices which do not
 match the filters. Each filter can be partially specified, e.g. "/job:ps"
 "/job:worker/replica:3", etc.
repeated string device_filters = 4;

सार्वजनिक com.google.protobuf.ProtocolStringList getDeviceFiltersList () 

 When any filters are present sessions will ignore all devices which do not
 match the filters. Each filter can be partially specified, e.g. "/job:ps"
 "/job:worker/replica:3", etc.
repeated string device_filters = 4;

सार्वजनिक कॉन्फ़िगप्रोटो.प्रायोगिक getExperimental ()

.tensorflow.ConfigProto.Experimental experimental = 16;

सार्वजनिक कॉन्फिगप्रोटो.एक्सपेरिमेंटलऑरबिल्डर गेटएक्सपेरिमेंटलऑरबिल्डर ()

.tensorflow.ConfigProto.Experimental experimental = 16;

सार्वजनिक GPUOptions getGpuOptions () 

 Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;

सार्वजनिक GPUOptionsOrBuilder getGpuOptionsOrBuilder () 

 Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;

सार्वजनिक ग्राफ़ऑप्शंस getGraphOptions () 

 Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;

सार्वजनिक GraphOptionsOrBuilder getGraphOptionsOrBuilder () 

 Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;

सार्वजनिक int getInterOpParallelismThreads () 

 Nodes that perform blocking operations are enqueued on a pool of
 inter_op_parallelism_threads available in each process.
 0 means the system picks an appropriate number.
 Negative means all operations are performed in caller's thread.
 Note that the first Session created in the process sets the
 number of threads for all future sessions unless use_per_session_threads is
 true or session_inter_op_thread_pool is configured.
int32 inter_op_parallelism_threads = 5;

सार्वजनिक int getIntraOpParallelismThreads () 

 The execution of an individual op (for some op types) can be
 parallelized on a pool of intra_op_parallelism_threads.
 0 means the system picks an appropriate number.
 If you create an ordinary session, e.g., from Python or C++,
 then there is exactly one intra op thread pool per process.
 The first session created determines the number of threads in this pool.
 All subsequent sessions reuse/share this one global pool.
 There are notable exceptions to the default behavior describe above:
 1. There is an environment variable  for overriding this thread pool,
    named TF_OVERRIDE_GLOBAL_THREADPOOL.
 2. When connecting to a server, such as a remote `tf.train.Server`
    instance, then this option will be ignored altogether.
int32 intra_op_parallelism_threads = 2;

सार्वजनिक बूलियन getIslateSessionState () 

 If true, any resources such as Variables used in the session will not be
 shared with other sessions. However, when clusterspec propagation is
 enabled, this field is ignored and sessions are always isolated.
bool isolate_session_state = 15;

सार्वजनिक बूलियन getLogDevicePlacement () 

 Whether device placements should be logged.
bool log_device_placement = 8;

सार्वजनिक लंबे getOperationTimeoutInMs () 

 Global timeout for all blocking operations in this session.  If non-zero,
 and not overridden on a per-operation basis, this value will be used as the
 deadline for all blocking operations.
int64 operation_timeout_in_ms = 11;

जनता getParserForType ()

सार्वजनिक पूर्णांक getPlacementPeriod () 

 Assignment of Nodes to Devices is recomputed every placement_period
 steps until the system warms up (at which point the recomputation
 typically slows down automatically).
int32 placement_period = 3;

सार्वजनिक RPCOptions getRpcOptions () 

 Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;

सार्वजनिक RPCOptionsOrBuilder getRpcOptionsOrBuilder () 

 Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;

सार्वजनिक int getSerializedSize ()

सार्वजनिक ThreadPoolOptionProto getSessionInterOpThreadPool (int अनुक्रमणिका) 

 This option is experimental - it may be replaced with a different mechanism
 in the future.
 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.
 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

सार्वजनिक int getSessionInterOpThreadPoolCount () 

 This option is experimental - it may be replaced with a different mechanism
 in the future.
 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.
 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

सार्वजनिक सूची < ThreadPoolOptionProto > getSessionInterOpThreadPoolList () 

 This option is experimental - it may be replaced with a different mechanism
 in the future.
 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.
 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

सार्वजनिक ThreadPoolOptionProtoOrBuilder getSessionInterOpThreadPoolOrBuilder (int अनुक्रमणिका) 

 This option is experimental - it may be replaced with a different mechanism
 in the future.
 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.
 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

सार्वजनिक सूची<? ThreadPoolOptionProtoOrBuilder > getSessionInterOpThreadPoolOrBuilderList () का विस्तार करता है 

 This option is experimental - it may be replaced with a different mechanism
 in the future.
 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.
 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

सार्वजनिक बूलियन getShareClusterDevicesInSession () 

 When true, WorkerSessions are created with device attributes from the
 full cluster.
 This is helpful when a worker wants to partition a graph
 (for example during a PartitionedCallOp).
bool share_cluster_devices_in_session = 17;

सार्वजनिक अंतिम com.google.protobuf.UnknownFieldSet getUnknownFields ()

सार्वजनिक बूलियन getUsePerSessionThreads () 

 If true, use a new set of threads for this session rather than the global
 pool of threads. Only supported by direct sessions.
 If false, use the global threads created by the first session, or the
 per-session thread pools configured by session_inter_op_thread_pool.
 This option is deprecated. The same effect can be achieved by setting
 session_inter_op_thread_pool to have one element, whose num_threads equals
 inter_op_parallelism_threads.
bool use_per_session_threads = 9;

सार्वजनिक बूलियन hasClusterDef () 

 Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;

सार्वजनिक बूलियन प्रयोगात्मक है ()

.tensorflow.ConfigProto.Experimental experimental = 16;

सार्वजनिक बूलियन hasGpuOptions () 

 Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;

सार्वजनिक बूलियन hasGraphOptions () 

 Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;

सार्वजनिक बूलियन hasRpcOptions () 

 Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;

सार्वजनिक पूर्णांक हैशकोड ()

सार्वजनिक अंतिम बूलियन आरंभीकृत है ()

सार्वजनिक स्थैतिक कॉन्फ़िगप्रोटो.बिल्डर न्यूबिल्डर ()

सार्वजनिक स्थैतिक कॉन्फ़िगप्रोटो.बिल्डर न्यूबिल्डर ( कॉन्फ़िगप्रोटो प्रोटोटाइप)

सार्वजनिक कॉन्फ़िगप्रोटो.बिल्डर newBuilderForType ()

सार्वजनिक स्थैतिक कॉन्फिगप्रोटो पार्सडिलीमिटेडफ्रॉम (इनपुटस्ट्रीम इनपुट)

फेंकता
आईओएक्सेप्शन

सार्वजनिक स्थैतिक कॉन्फिगप्रोटो पार्सडिलीमिटेडफ्रॉम (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
आईओएक्सेप्शन

सार्वजनिक स्थैतिक कॉन्फिगप्रोटो पार्सफ्रॉम (बाइटबफ़र डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक कॉन्फिगप्रोटो पार्सफ्रॉम (com.google.protobuf.CodedInputStream इनपुट)

फेंकता
आईओएक्सेप्शन

सार्वजनिक स्थैतिक कॉन्फिगप्रोटो पार्सफ्रॉम (बाइट[] डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक कॉन्फ़िगप्रोटो पार्सफ़्रॉम (बाइटबफ़र डेटा)

फेंकता
अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक कॉन्फिगप्रोटो पार्सफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
आईओएक्सेप्शन

सार्वजनिक स्थैतिक कॉन्फिगप्रोटो पार्सफ्रॉम (com.google.protobuf.ByteString डेटा)

फेंकता
अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक कॉन्फिगप्रोटो पार्सफ्रॉम (इनपुटस्ट्रीम इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
आईओएक्सेप्शन

सार्वजनिक स्थैतिक कॉन्फिगप्रोटो पार्सफ्रॉम (com.google.protobuf.ByteString डेटा, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
अमान्यप्रोटोकॉलबफ़रएक्सेप्शन

सार्वजनिक स्थैतिक पार्सर ()

सार्वजनिक कॉन्फ़िगप्रोटो.बिल्डर टूबिल्डर ()

सार्वजनिक शून्य राइटटू (com.google.protobuf.CodedOutputStream आउटपुट)

फेंकता
आईओएक्सेप्शन