ConfigProto

کلاس نهایی عمومی ConfigProto

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

نوع Protobuf tensorflow.ConfigProto

کلاس های تو در تو

کلاس	ConfigProto.Builder		Session configuration parameters.
کلاس	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.
رابط کاربری	ConfigProto.ExperimentalOrBuilder

ثابت ها

بین المللی	ALLOW_SOFT_PLACEMENT_FIELD_NUMBER
بین المللی	CLUSTER_DEF_FIELD_NUMBER
بین المللی	DEVICE_COUNT_FIELD_NUMBER
بین المللی	DEVICE_FILTERS_FIELD_NUMBER
بین المللی	EXPERIMENTAL_FIELD_NUMBER
بین المللی	GPU_OPTIONS_FIELD_NUMBER
بین المللی	GRAPH_OPTIONS_FIELD_NUMBER
بین المللی	INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER
بین المللی	INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER
بین المللی	ISOLATE_SESSION_STATE_FIELD_NUMBER
بین المللی	LOG_DEVICE_PLACEMENT_FIELD_NUMBER
بین المللی	OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER
بین المللی	PLACEMENT_PERIOD_FIELD_NUMBER
بین المللی	RPC_OPTIONS_FIELD_NUMBER
بین المللی	SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER
بین المللی	SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER
بین المللی	USE_PER_SESSION_THREADS_FIELD_NUMBER

روش های عمومی

بولی	containDeviceCount (کلید رشته) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
بولی	برابر است (object obj)
بولی	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 استاتیک	getDefaultInstance ()
ConfigProto	getDefaultInstanceForType ()
نهایی static com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
نقشه<رشته، عدد صحیح>	getDeviceCount () به جای آن از getDeviceCountMap() استفاده کنید.
بین المللی	getDeviceCountCount () Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
نقشه<رشته، عدد صحیح>	getDeviceCountMap () Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
بین المللی	getDeviceCountOrDefault (کلید رشته، int defaultValue) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
بین المللی	getDeviceCountOrThrow (کلید رشته) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
رشته	getDeviceFilters (int index) When any filters are present sessions will ignore all devices which do not match the filters.
com.google.protobuf.ByteString	getDeviceFiltersBytes (شاخص int) When any filters are present sessions will ignore all devices which do not match the filters.
بین المللی	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	دریافت تجربی () .tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.ExperimentalOrBuilder	getExperimentalOrBuilder () .tensorflow.ConfigProto.Experimental experimental = 16;
گزینه های GPU	getGpuOptions () Options that apply to all GPUs.
GPUOptionsOrBuilder	getGpuOptionsOrBuilder () Options that apply to all GPUs.
GraphOptions	getGraphOptions () Options that apply to all graphs.
GraphOptionsOrBuilder	getGraphOptionsOrBuilder () Options that apply to all graphs.
بین المللی	getInterOpParallelismThreads () Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.
بین المللی	getIntraOpParallelismThreads () The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.
بولی	getIsolateSessionState () If true, any resources such as Variables used in the session will not be shared with other sessions.
بولی	getLogDevicePlacement () Whether device placements should be logged.
طولانی	getOperationTimeoutInMs () Global timeout for all blocking operations in this session.
	getParserForType ()
بین المللی	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.
بین المللی	getSerializedSize ()
ThreadPoolOptionProto	getSessionInterOpThreadPool (شاخص int) This option is experimental - it may be replaced with a different mechanism in the future.
بین المللی	getSessionInterOpThreadPoolCount () This option is experimental - it may be replaced with a different mechanism in the future.
لیست< ThreadPoolOptionProto >	getSessionInterOpThreadPoolList () This option is experimental - it may be replaced with a different mechanism in the future.
ThreadPoolOptionProtoOrBuilder	getSessionInterOpThreadPoolOrBuilder (شاخص int) This option is experimental - it may be replaced with a different mechanism in the future.
لیست<? ThreadPoolOptionProtoOrBuilder > را گسترش می دهد	getSessionInterOpThreadPoolOrBuilderList () This option is experimental - it may be replaced with a different mechanism in the future.
بولی	getShareClusterDevicesInSession () When true, WorkerSessions are created with device attributes from the full cluster.
com.google.protobuf.UnknownFieldSet نهایی	getUnknownFields ()
بولی	getUsePerSessionThreads () If true, use a new set of threads for this session rather than the global pool of threads.
بولی	hasClusterDef () Optional list of all workers to use in this session.
بولی	دارای تجربی () .tensorflow.ConfigProto.Experimental experimental = 16;
بولی	hasGpuOptions () Options that apply to all GPUs.
بولی	hasGraphOptions () Options that apply to all graphs.
بولی	hasRpcOptions () Options that apply when this session uses the distributed runtime.
بین المللی	هش کد ()
بولی نهایی	اولیه شده است ()
Static ConfigProto.Builder	newBuilder ()
Static ConfigProto.Builder	newBuilder (نمونه اولیه ConfigProto )
ConfigProto.Builder	newBuilderForType ()
ConfigProto استاتیک	parseDelimitedFrom (ورودی جریان ورودی)
ConfigProto استاتیک	parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto استاتیک	parseFrom (داده‌های ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto استاتیک	parseFrom (ورودی com.google.protobuf.CodedInputStream)
ConfigProto استاتیک	parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto استاتیک	parseFrom (داده های ByteBuffer)
ConfigProto استاتیک	parseFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto استاتیک	parseFrom (داده های com.google.protobuf.ByteString)
ConfigProto استاتیک	parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto استاتیک	parseFrom (داده‌های com.google.protobuf.ByteString، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ایستا	تجزیه کننده ()
ConfigProto.Builder	toBuilder ()
باطل	writeTo (خروجی com.google.protobuf.CodedOutputStream)

روش های ارثی

از کلاس java.lang.Object

بولی	برابر است (شیء arg0)
کلاس نهایی<?>	getClass ()
بین المللی	هش کد ()
باطل نهایی	اطلاع رسانی ()
باطل نهایی	اطلاع رسانی به همه ()
رشته	toString ()
باطل نهایی	صبر کنید (long arg0، int arg1)
باطل نهایی	صبر کنید (طولانی arg0)
باطل نهایی	صبر کن ()

از رابط org.tensorflow.proto.framework.ConfigProtoOrBuilder

بولی انتزاعی	containDeviceCount (کلید رشته) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
بولی انتزاعی	getAllowSoftPlacement () Whether soft placement is allowed.
ClusterDef چکیده	getClusterDef () Optional list of all workers to use in this session.
ClusterDefOrBuilder انتزاعی	getClusterDefOrBuilder () Optional list of all workers to use in this session.
نقشه انتزاعی <رشته، عدد صحیح>	getDeviceCount () به جای آن از getDeviceCountMap() استفاده کنید.
انتزاعی	getDeviceCountCount () Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
نقشه انتزاعی <رشته، عدد صحیح>	getDeviceCountMap () Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
انتزاعی	getDeviceCountOrDefault (کلید رشته، int defaultValue) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
انتزاعی	getDeviceCountOrThrow (کلید رشته) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
رشته انتزاعی	getDeviceFilters (int index) When any filters are present sessions will ignore all devices which do not match the filters.
چکیده com.google.protobuf.ByteString	getDeviceFiltersBytes (شاخص int) When any filters are present sessions will ignore all devices which do not match the filters.
انتزاعی	getDeviceFiltersCount () When any filters are present sessions will ignore all devices which do not match the filters.
فهرست انتزاعی<String>	getDeviceFiltersList () When any filters are present sessions will ignore all devices which do not match the filters.
چکیده ConfigProto.Experimental	دریافت تجربی () .tensorflow.ConfigProto.Experimental experimental = 16;
چکیده ConfigProto.ExperimentalOrBuilder	getExperimentalOrBuilder () .tensorflow.ConfigProto.Experimental experimental = 16;
گزینه های GPU انتزاعی	getGpuOptions () Options that apply to all GPUs.
انتزاعی GPUOptionsOrBuilder	getGpuOptionsOrBuilder () Options that apply to all GPUs.
GraphOptions انتزاعی	getGraphOptions () Options that apply to all graphs.
GraphOptionsOrBuilder انتزاعی	getGraphOptionsOrBuilder () Options that apply to all graphs.
انتزاعی	getInterOpParallelismThreads () Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.
انتزاعی	getIntraOpParallelismThreads () The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.
بولی انتزاعی	getIsolateSessionState () If true, any resources such as Variables used in the session will not be shared with other sessions.
بولی انتزاعی	getLogDevicePlacement () Whether device placements should be logged.
انتزاعی طولانی	getOperationTimeoutInMs () Global timeout for all blocking operations in this session.
انتزاعی	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 انتزاعی	getRpcOptions () Options that apply when this session uses the distributed runtime.
چکیده RPCOptionsOrBuilder	getRpcOptionsOrBuilder () Options that apply when this session uses the distributed runtime.
چکیده ThreadPoolOptionProto	getSessionInterOpThreadPool (شاخص int) This option is experimental - it may be replaced with a different mechanism in the future.
انتزاعی	getSessionInterOpThreadPoolCount () This option is experimental - it may be replaced with a different mechanism in the future.
فهرست انتزاعی< ThreadPoolOptionProto >	getSessionInterOpThreadPoolList () This option is experimental - it may be replaced with a different mechanism in the future.
چکیده ThreadPoolOptionProtoOrBuilder	getSessionInterOpThreadPoolOrBuilder (شاخص int) This option is experimental - it may be replaced with a different mechanism in the future.
فهرست چکیده <? ThreadPoolOptionProtoOrBuilder > را گسترش می دهد	getSessionInterOpThreadPoolOrBuilderList () This option is experimental - it may be replaced with a different mechanism in the future.
بولی انتزاعی	getShareClusterDevicesInSession () When true, WorkerSessions are created with device attributes from the full cluster.
بولی انتزاعی	getUsePerSessionThreads () If true, use a new set of threads for this session rather than the global pool of threads.
بولی انتزاعی	hasClusterDef () Optional list of all workers to use in this session.
بولی انتزاعی	دارای تجربی () .tensorflow.ConfigProto.Experimental experimental = 16;
بولی انتزاعی	hasGpuOptions () Options that apply to all GPUs.
بولی انتزاعی	hasGraphOptions () Options that apply to all graphs.
بولی انتزاعی	hasRpcOptions () Options that apply when this session uses the distributed runtime.

ثابت ها

نهایی استاتیک عمومی ALLOW_SOFT_PLACEMENT_FIELD_NUMBER

مقدار ثابت: 7

نهایی استاتیک عمومی CLUSTER_DEF_FIELD_NUMBER

ارزش ثابت: 14

DEVICE_COUNT_FIELD_NUMBER نهایی استاتیک عمومی

ارزش ثابت: 1

DEVICE_FILTERS_FIELD_NUMBER نهایی استاتیک عمومی

ارزش ثابت: 4

نهایی استاتیک عمومی EXPERIMENTAL_FIELD_NUMBER

ارزش ثابت: 16

GPU_OPTIONS_FIELD_NUMBER نهایی استاتیک عمومی

ارزش ثابت: 6

GRAPH_OPTIONS_FIELD_NUMBER نهایی استاتیک عمومی

ارزش ثابت: 10

نهایی استاتیک عمومی INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER

ارزش ثابت: 5

نهایی استاتیک عمومی INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER

ارزش ثابت: 2

ISOLATE_SESSION_STATE_FIELD_NUMBER نهایی استاتیک عمومی

ارزش ثابت: 15

نهایی استاتیک عمومی LOG_DEVICE_PLACEMENT_FIELD_NUMBER

مقدار ثابت: 8

نهایی استاتیک عمومی OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER

ارزش ثابت: 11

نهایی استاتیک عمومی PLACEMENT_PERIOD_FIELD_NUMBER

مقدار ثابت: 3

نهایی استاتیک عمومی RPC_OPTIONS_FIELD_NUMBER

ارزش ثابت: 13

نهایی استاتیک عمومی SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER

ارزش ثابت: 12

نهایی استاتیک عمومی SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER

ارزش ثابت: 17

نهایی استاتیک عمومی USE_PER_SESSION_THREADS_FIELD_NUMBER

مقدار ثابت: 9

روش های عمومی

بولین عمومی حاویDeviceCount (کلید رشته)

 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;

بولین عمومی برابر است (Object Obj)

getAllowSoftPlacement بولین عمومی ()

 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;

عمومی ClusterDef getClusterDef ()

 Optional list of all workers to use in this session.
 

.tensorflow.ClusterDef cluster_def = 14;

عمومی ClusterDefOrBuilder getClusterDefOrBuilder ()

 Optional list of all workers to use in this session.
 

.tensorflow.ClusterDef cluster_def = 14;

عمومی Static ConfigProto getDefaultInstance ()

عمومی ConfigProto getDefaultInstanceForType ()

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

نقشه عمومی <رشته، عدد صحیح> getDeviceCount ()

به جای آن از getDeviceCountMap() استفاده کنید.

عمومی 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;

نقشه عمومی <رشته، عدد صحیح> 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;

عمومی int getDeviceCountOrDefault (کلید رشته، مقدار پیش فرض int)

 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;

عمومی int getDeviceCountOrThrow (کلید رشته)

 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;

رشته عمومی getDeviceFilters (شاخص 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 com.google.protobuf.ByteString getDeviceFiltersBytes (int index)

 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;

عمومی 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;

عمومی ConfigProto.Experimental getExperimental ()

.tensorflow.ConfigProto.Experimental experimental = 16;

عمومی ConfigProto.ExperimentalOrBuilder getExperimentalOrBuilder ()

.tensorflow.ConfigProto.Experimental experimental = 16;

GPUOptions عمومی getGpuOptions ()

 Options that apply to all GPUs.
 

.tensorflow.GPUOptions gpu_options = 6;

عمومی GPUOptionsOrBuilder getGpuOptionsOrBuilder ()

 Options that apply to all GPUs.
 

.tensorflow.GPUOptions gpu_options = 6;

عمومی GraphOptions getGraphOptions ()

 Options that apply to all graphs.
 

.tensorflow.GraphOptions graph_options = 10;

عمومی GraphOptionsOrBuilder getGraphOptionsOrBuilder ()

 Options that apply to all graphs.
 

.tensorflow.GraphOptions graph_options = 10;

عمومی 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;

عمومی 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;

بولی عمومی 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;

بولی عمومی getLogDevicePlacement ()

 Whether device placements should be logged.
 

bool log_device_placement = 8;

عمومی طولانی 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;

عمومی getParserForType ()

عمومی 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;

عمومی RPCOptions getRpcOptions ()

 Options that apply when this session uses the distributed runtime.
 

.tensorflow.RPCOptions rpc_options = 13;

عمومی RPCOptionsOrBuilder getRpcOptionsOrBuilder ()

 Options that apply when this session uses the distributed runtime.
 

.tensorflow.RPCOptions rpc_options = 13;

عمومی int getSerializedSize ()

عمومی ThreadPoolOptionProto getSessionInterOpThreadPool (int index)

 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;

عمومی 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;

لیست عمومی< 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;

عمومی ThreadPoolOptionProtoOrBuilder getSessionInterOpThreadPoolOrBuilder (int index)

 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;

لیست عمومی<? گسترش 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;

بولی عمومی 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;

عمومی نهایی com.google.protobuf.UnknownFieldSet getUnknownFields ()

getUsePerSessionThreads بولی عمومی ()

 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;

بولی عمومی hasClusterDef ()

 Optional list of all workers to use in this session.
 

.tensorflow.ClusterDef cluster_def = 14;

عمومی بولی hasExperimental ()

.tensorflow.ConfigProto.Experimental experimental = 16;

دارای بولین عمومی hasGpuOptions ()

 Options that apply to all GPUs.
 

.tensorflow.GPUOptions gpu_options = 6;

hasGraphOptions بولی عمومی ()

 Options that apply to all graphs.
 

.tensorflow.GraphOptions graph_options = 10;

hasRpcOptions بولی عمومی ()

 Options that apply when this session uses the distributed runtime.
 

.tensorflow.RPCOptions rpc_options = 13;

هش کد عمومی ()

بولین نهایی عمومی isInitialized ()

عمومی استاتیک ConfigProto.Builder newBuilder ()

عمومی استاتیک ConfigProto.Builder newBuilder (نمونه اولیه ConfigProto )

عمومی ConfigProto.Builder newBuilderForType ()

عمومی استاتیک ConfigProto parseDelimitedFrom (ورودی جریان ورودی)

پرتاب می کند

IOException

عمومی استاتیک ConfigProto parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند

IOException

عمومی استاتیک ConfigProto parseFrom (داده های ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند

InvalidProtocolBufferException

عمومی استاتیک ConfigProto parseFrom (ورودی com.google.protobuf.CodedInputStream)

پرتاب می کند

IOException

عمومی استاتیک ConfigProto parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند

InvalidProtocolBufferException

عمومی استاتیک ConfigProto parseFrom (داده ByteBuffer)

پرتاب می کند

InvalidProtocolBufferException

عمومی استاتیک ConfigProto parseFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند

IOException

عمومی استاتیک ConfigProto parseFrom (داده های com.google.protobuf.ByteString)

پرتاب می کند

InvalidProtocolBufferException

عمومی استاتیک ConfigProto parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند

IOException

عمومی استاتیک ConfigProto parseFrom (داده های com.google.protobuf.ByteString، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند

InvalidProtocolBufferException

استاتیک عمومی تجزیه کننده ()

عمومی ConfigProto.Builder toBuilder ()

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

پرتاب می کند

IOException