ConfigProto

classe finale pubblica ConfigProto

 Session configuration parameters.
 The system picks appropriate values for fields that are not set.
 

Tipo protobuf tensorflow.ConfigProto

Classi nidificate

classe	ConfigProto.Builder		Session configuration parameters.
classe	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.
interfaccia	ConfigProto.ExperimentalOrBuilder

Costanti

int	ALLOW_SOFT_PLACEMENT_FIELD_NUMBER
int	CLUSTER_DEF_FIELD_NUMBER
int	DEVICE_COUNT_FIELD_NUMBER
int	DEVICE_FILTERS_FIELD_NUMBER
int	NUMERO_CAMPO_ESPERIMENTALE
int	GPU_OPTIONS_FIELD_NUMBER
int	GRAPH_OPTIONS_FIELD_NUMBER
int	INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER
int	INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER
int	ISOLATE_SESSION_STATE_FIELD_NUMBER
int	LOG_DEVICE_PLACEMENT_FIELD_NUMBER
int	OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER
int	PLACEMENT_PERIOD_FIELD_NUMBER
int	RPC_OPTIONS_FIELD_NUMBER
int	SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER
int	SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER
int	USE_PER_SESSION_THREADS_FIELD_NUMBER

Metodi pubblici

booleano	contieneDeviceCount (chiave String) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
booleano	è uguale a (Oggetto oggetto)
booleano	getAllowSoftPlacement () Whether soft placement is allowed.
ClusterDef	getClusterDef () Optional list of all workers to use in this session.
ClusterDefOrBuilder	getClusterDefOrBuilder () Optional list of all workers to use in this session.
ConfigProto statico	getDefaultInstance ()
ConfigProto	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statico finale	getDescrittore ()
Mappa<Stringa, Intero>	getDeviceCount () Utilizzare invece getDeviceCountMap() .
int	getDeviceCountCount () Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
Mappa<Stringa, Intero>	getDeviceCountMap () Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
int	getDeviceCountOrDefault (chiave String, int defaultValue) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
int	getDeviceCountOrThrow (chiave String) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
Corda	getDeviceFilters (indice int) When any filters are present sessions will ignore all devices which do not match the filters.
com.google.protobuf.ByteString	getDeviceFiltersBytes (indice int) When any filters are present sessions will ignore all devices which do not match the filters.
int	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.
ConfigProto.Experimental	getExperimental () .tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.ExperimentalOrBuilder	getExperimentalOrBuilder () .tensorflow.ConfigProto.Experimental experimental = 16;
Opzioni GPU	getGpuOptions () Options that apply to all GPUs.
GPUOptionsOrBuilder	getGpuOptionsOrBuilder () Options that apply to all GPUs.
OpzioniGrafico	getOpzioniGrafico () Options that apply to all graphs.
GraphOptionsOrBuilder	getOpzioniGraphOrBuilder () Options that apply to all graphs.
int	getInterOpParallelismThreads () Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.
int	getIntraOpParallelismThreads () The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.
booleano	getIsolateSessionState () If true, any resources such as Variables used in the session will not be shared with other sessions.
booleano	getLogDevicePlacement () Whether device placements should be logged.
lungo	getOperationTimeoutInMs () Global timeout for all blocking operations in this session.
	getParserForType ()
int	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).
RPCOptions	getRpcOptions () Options that apply when this session uses the distributed runtime.
RPCOptionsOrBuilder	getRpcOptionsOrBuilder () Options that apply when this session uses the distributed runtime.
int	getSerializedSize ()
ThreadPoolOptionProto	getSessionInterOpThreadPool (indice int) This option is experimental - it may be replaced with a different mechanism in the future.
int	getSessionInterOpThreadPoolCount () This option is experimental - it may be replaced with a different mechanism in the future.
Elenco< ThreadPoolOptionProto >	getSessionInterOpThreadPoolList () This option is experimental - it may be replaced with a different mechanism in the future.
ThreadPoolOptionProtoOrBuilder	getSessionInterOpThreadPoolOrBuilder (indice int) This option is experimental - it may be replaced with a different mechanism in the future.
Elenco<? estende ThreadPoolOptionProtoOrBuilder >	getSessionInterOpThreadPoolOrBuilderList () This option is experimental - it may be replaced with a different mechanism in the future.
booleano	getShareClusterDevicesInSession () When true, WorkerSessions are created with device attributes from the full cluster.
finale com.google.protobuf.UnknownFieldSet	getUnknownFields ()
booleano	getUsePerSessionThreads () If true, use a new set of threads for this session rather than the global pool of threads.
booleano	hasClusterDef () Optional list of all workers to use in this session.
booleano	ha sperimentale () .tensorflow.ConfigProto.Experimental experimental = 16;
booleano	hasGpuOptions () Options that apply to all GPUs.
booleano	haOpzioniGrafico () Options that apply to all graphs.
booleano	hasRpcOptions () Options that apply when this session uses the distributed runtime.
int	codicehash ()
booleano finale	èinizializzato ()
ConfigProto.Builder statico	nuovocostruttore ()
ConfigProto.Builder statico	newBuilder (prototipo ConfigProto )
ConfigProto.Builder	newBuilderForType ()
ConfigProto statico	parseDelimitedFrom (input InputStream)
ConfigProto statico	parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto statico	parseFrom (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto statico	parseFrom (ingresso com.google.protobuf.CodedInputStream)
ConfigProto statico	parseFrom (byte[] dati, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto statico	parseFrom (dati ByteBuffer)
ConfigProto statico	parseFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
ConfigProto statico	parseFrom (dati com.google.protobuf.ByteString)
ConfigProto statico	parseFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto statico	parseFrom (dati com.google.protobuf.ByteString, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
statico	analizzatore ()
ConfigProto.Builder	toBuilder ()
vuoto	writeTo (output com.google.protobuf.CodedOutputStream)

Metodi ereditati

Dalla classe java.lang.Object

booleano	è uguale a (Oggetto arg0)
Classe finale<?>	getClass ()
int	codicehash ()
vuoto finale	avvisare ()
vuoto finale	notificaTutti ()
Corda	aStringa ()
vuoto finale	attendere (lungo arg0, int arg1)
vuoto finale	aspetta (lungo arg0)
vuoto finale	Aspettare ()

Dall'interfaccia org.tensorflow.proto.framework.ConfigProtoOrBuilder

booleano astratto	contieneDeviceCount (chiave String) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
booleano astratto	getAllowSoftPlacement () Whether soft placement is allowed.
astratto ClusterDef	getClusterDef () Optional list of all workers to use in this session.
astratto ClusterDefOrBuilder	getClusterDefOrBuilder () Optional list of all workers to use in this session.
mappa astratta<String, Integer>	getDeviceCount () Utilizzare invece getDeviceCountMap() .
astratto int	getDeviceCountCount () Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
mappa astratta<String, Integer>	getDeviceCountMap () Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
astratto int	getDeviceCountOrDefault (chiave String, int defaultValue) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
astratto int	getDeviceCountOrThrow (chiave String) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
stringa astratta	getDeviceFilters (indice int) When any filters are present sessions will ignore all devices which do not match the filters.
astratto com.google.protobuf.ByteString	getDeviceFiltersBytes (indice int) When any filters are present sessions will ignore all devices which do not match the filters.
astratto int	getDeviceFiltersCount () When any filters are present sessions will ignore all devices which do not match the filters.
Elenco astratto<String>	getDeviceFiltersList () When any filters are present sessions will ignore all devices which do not match the filters.
abstract ConfigProto.Experimental	getExperimental () .tensorflow.ConfigProto.Experimental experimental = 16;
abstract ConfigProto.ExperimentalOrBuilder	getExperimentalOrBuilder () .tensorflow.ConfigProto.Experimental experimental = 16;
Opzioni GPU astratte	getGpuOptions () Options that apply to all GPUs.
GPUOptionsOrBuilder astratto	getGpuOptionsOrBuilder () Options that apply to all GPUs.
OpzioniGrafico astratte	getOpzioniGrafico () Options that apply to all graphs.
astratto GraphOptionsOrBuilder	getOpzioniGraphOrBuilder () Options that apply to all graphs.
astratto int	getInterOpParallelismThreads () Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.
astratto int	getIntraOpParallelismThreads () The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.
booleano astratto	getIsolateSessionState () If true, any resources such as Variables used in the session will not be shared with other sessions.
booleano astratto	getLogDevicePlacement () Whether device placements should be logged.
astratto lungo	getOperationTimeoutInMs () Global timeout for all blocking operations in this session.
astratto int	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).
Opzioni RPC astratte	getRpcOptions () Options that apply when this session uses the distributed runtime.
RPCOptionsOrBuilder astratto	getRpcOptionsOrBuilder () Options that apply when this session uses the distributed runtime.
astratto ThreadPoolOptionProto	getSessionInterOpThreadPool (indice int) This option is experimental - it may be replaced with a different mechanism in the future.
astratto int	getSessionInterOpThreadPoolCount () This option is experimental - it may be replaced with a different mechanism in the future.
Elenco astratto< ThreadPoolOptionProto >	getSessionInterOpThreadPoolList () This option is experimental - it may be replaced with a different mechanism in the future.
astratto ThreadPoolOptionProtoOrBuilder	getSessionInterOpThreadPoolOrBuilder (indice int) This option is experimental - it may be replaced with a different mechanism in the future.
Elenco astratto<? estende ThreadPoolOptionProtoOrBuilder >	getSessionInterOpThreadPoolOrBuilderList () This option is experimental - it may be replaced with a different mechanism in the future.
booleano astratto	getShareClusterDevicesInSession () When true, WorkerSessions are created with device attributes from the full cluster.
booleano astratto	getUsePerSessionThreads () If true, use a new set of threads for this session rather than the global pool of threads.
booleano astratto	hasClusterDef () Optional list of all workers to use in this session.
booleano astratto	ha sperimentale () .tensorflow.ConfigProto.Experimental experimental = 16;
booleano astratto	hasGpuOptions () Options that apply to all GPUs.
booleano astratto	haOpzioniGrafico () Options that apply to all graphs.
booleano astratto	hasRpcOptions () Options that apply when this session uses the distributed runtime.

Costanti

public static final int ALLOW_SOFT_PLACEMENT_FIELD_NUMBER

Valore costante: 7

public static final int CLUSTER_DEF_FIELD_NUMBER

Valore costante: 14

pubblico statico finale int DEVICE_COUNT_FIELD_NUMBER

Valore costante: 1

public static final int DEVICE_FILTERS_FIELD_NUMBER

Valore costante: 4

public static final int EXPERIMENTAL_FIELD_NUMBER

Valore costante: 16

public static final int GPU_OPTIONS_FIELD_NUMBER

Valore costante: 6

public static final int GRAPH_OPTIONS_FIELD_NUMBER

Valore costante: 10

public static final int INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER

Valore costante: 5

public static final int INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER

Valore costante: 2

public static final int ISOLATE_SESSION_STATE_FIELD_NUMBER

Valore costante: 15

public static final int LOG_DEVICE_PLACEMENT_FIELD_NUMBER

Valore costante: 8

public static final int OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER

Valore costante: 11

public static final int PLACEMENT_PERIOD_FIELD_NUMBER

Valore costante: 3

public static final int RPC_OPTIONS_FIELD_NUMBER

Valore costante: 13

public static final int SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER

Valore costante: 12

public static final int SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER

Valore costante: 17

public static final int USE_PER_SESSION_THREADS_FIELD_NUMBER

Valore costante: 9

Metodi pubblici

booleano pubblico contieneDeviceCount (chiave String)

 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;

booleano pubblico è uguale a (Oggetto obj)

pubblico booleano 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;

pubblico ClusterDef getClusterDef ()

 Optional list of all workers to use in this session.
 

.tensorflow.ClusterDef cluster_def = 14;

public ClusterDefOrBuilder getClusterDefOrBuilder ()

 Optional list of all workers to use in this session.
 

.tensorflow.ClusterDef cluster_def = 14;

pubblico statico ConfigProto getDefaultInstance ()

pubblico ConfigProto getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public Map<String, Integer> getDeviceCount ()

Utilizzare invece getDeviceCountMap() .

public 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;

public Map<String, Integer> 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;

public int getDeviceCountOrDefault (chiave String, 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;

public int getDeviceCountOrThrow (chiave String)

 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;

public String getDeviceFilters (indice int)

 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;

pubblico com.google.protobuf.ByteString getDeviceFiltersBytes (indice int)

 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;

public 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;

public 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;

public ConfigProto.Experimental getExperimental ()

.tensorflow.ConfigProto.Experimental experimental = 16;

public ConfigProto.ExperimentalOrBuilder getExperimentalOrBuilder ()

.tensorflow.ConfigProto.Experimental experimental = 16;

public GPUOptions getGpuOptions ()

 Options that apply to all GPUs.
 

.tensorflow.GPUOptions gpu_options = 6;

public GPUOptionsOrBuilder getGpuOptionsOrBuilder ()

 Options that apply to all GPUs.
 

.tensorflow.GPUOptions gpu_options = 6;

public GraphOptions getGraphOptions ()

 Options that apply to all graphs.
 

.tensorflow.GraphOptions graph_options = 10;

public GraphOptionsOrBuilder getGraphOptionsOrBuilder ()

 Options that apply to all graphs.
 

.tensorflow.GraphOptions graph_options = 10;

public 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;

public 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;

booleano pubblico getIsolateSessionState ()

 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;

pubblico booleano getLogDevicePlacement ()

 Whether device placements should be logged.
 

bool log_device_placement = 8;

pubblico lungo 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;

pubblico getParserForType ()

public int 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;

public RPCOptions getRpcOptions ()

 Options that apply when this session uses the distributed runtime.
 

.tensorflow.RPCOptions rpc_options = 13;

public RPCOptionsOrBuilder getRpcOptionsOrBuilder ()

 Options that apply when this session uses the distributed runtime.
 

.tensorflow.RPCOptions rpc_options = 13;

public int getSerializedSize ()

public ThreadPoolOptionProto getSessionInterOpThreadPool (indice int)

 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;

public 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;

Elenco pubblico< 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;

public ThreadPoolOptionProtoOrBuilder getSessionInterOpThreadPoolOrBuilder (indice int)

 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;

Elenco pubblico<? estende ThreadPoolOptionProtoOrBuilder > getSessionInterOpThreadPoolOrBuilderList ()

 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;

pubblico booleano 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;

pubblico finale com.google.protobuf.UnknownFieldSet getUnknownFields ()

booleano pubblico 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;

hasClusterDef pubblico booleano ()

 Optional list of all workers to use in this session.
 

.tensorflow.ClusterDef cluster_def = 14;

public booleano hasExperimental ()

.tensorflow.ConfigProto.Experimental experimental = 16;

hasGpuOptions booleano pubblico ()

 Options that apply to all GPUs.
 

.tensorflow.GPUOptions gpu_options = 6;

hasGraphOptions booleano pubblico ()

 Options that apply to all graphs.
 

.tensorflow.GraphOptions graph_options = 10;

hasRpcOptions booleano pubblico ()

 Options that apply when this session uses the distributed runtime.
 

.tensorflow.RPCOptions rpc_options = 13;

public int hashCode ()

public final booleano isInitialized ()

pubblico statico ConfigProto.Builder newBuilder ()

pubblico statico ConfigProto.Builder newBuilder (prototipo ConfigProto )

pubblico ConfigProto.Builder newBuilderForType ()

public static ConfigProto parseDelimitedFrom (input InputStream)

Lancia

IOException

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

Lancia

IOException

parseFrom pubblico statico ConfigProto (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia

InvalidProtocolBufferException

parseFrom ConfigProto statico pubblico (input com.google.protobuf.CodedInputStream)

Lancia

IOException

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

Lancia

InvalidProtocolBufferException

parseFrom pubblico statico ConfigProto (dati ByteBuffer)

Lancia

InvalidProtocolBufferException

parseFrom pubblico statico ConfigProto (input com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia

IOException

parseFrom pubblico statico ConfigProto (dati com.google.protobuf.ByteString)

Lancia

InvalidProtocolBufferException

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

Lancia

IOException

pubblico statico ConfigProto parseFrom (dati com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia

InvalidProtocolBufferException

pubblico statico analizzatore ()

pubblico ConfigProto.Builder toBuilder ()

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

Lancia

IOException