ConfigProto.Builder

کلاس نهایی استاتیک عمومی ConfigProto.Builder

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

روش های عمومی

ConfigProto.Builder
addAllDeviceFilters (مقادیر<String> قابل تکرار) 
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
addAllSessionInterOpThreadPool (Iterable<? ThreadPoolOptionProto > مقادیر را گسترش می دهد) 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
addDeviceFilters (مقدار رشته) 
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
addDeviceFiltersBytes (com.google.protobuf.ByteString مقدار) 
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)
ConfigProto.Builder
addSessionInterOpThreadPool (مقدار ThreadPoolOptionProto ) 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
addSessionInterOpThreadPool (شاخص int، مقدار ThreadPoolOptionProto ) 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
addSessionInterOpThreadPool ( ThreadPoolOptionProto.Builder builderForValue) 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
addSessionInterOpThreadPool (int index، ThreadPoolOptionProto.Builder builderForValue) 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ThreadPoolOptionProto.Builder
addSessionInterOpThreadPoolBuilder (شاخص int) 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ThreadPoolOptionProto.Builder
addSessionInterOpThreadPoolBuilder () 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto
ساختن ()
ConfigProto
ساخت جزئی ()
ConfigProto.Builder
روشن ()
ConfigProto.Builder
clearAllowSoftPlacement () 
 Whether soft placement is allowed.
ConfigProto.Builder
clearClusterDef () 
 Optional list of all workers to use in this session.
ConfigProto.Builder
clearDeviceCount ()
ConfigProto.Builder
clearDeviceFilters () 
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
شفاف تجربی ()
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Builder
clearField (فیلد com.google.protobuf.Descriptors.FieldDescriptor)
ConfigProto.Builder
clearGpuOptions () 
 Options that apply to all GPUs.
ConfigProto.Builder
clearGraphOptions () 
 Options that apply to all graphs.
ConfigProto.Builder
clearInterOpParallelism Threads () 
 Nodes that perform blocking operations are enqueued on a pool of
 inter_op_parallelism_threads available in each process.
ConfigProto.Builder
clearIntraOpParallelism Threads () 
 The execution of an individual op (for some op types) can be
 parallelized on a pool of intra_op_parallelism_threads.
ConfigProto.Builder
clearIsolateSessionState () 
 If true, any resources such as Variables used in the session will not be
 shared with other sessions.
ConfigProto.Builder
clearLogDevicePlacement () 
 Whether device placements should be logged.
ConfigProto.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
ConfigProto.Builder
clearOperationTimeoutInMs () 
 Global timeout for all blocking operations in this session.
ConfigProto.Builder
clearPlacementPeriod () 
 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).
ConfigProto.Builder
clearRpcOptions () 
 Options that apply when this session uses the distributed runtime.
ConfigProto.Builder
clearSessionInterOpThreadPool () 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
clearShareClusterDevicesInSession () 
 When true, WorkerSessions are created with device attributes from the
 full cluster.
ConfigProto.Builder
clearUsePerSessionThreads () 
 If true, use a new set of threads for this session rather than the global
 pool of threads.
ConfigProto.Builder
کلون ()
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
getAllowSoftPlacement () 
 Whether soft placement is allowed.
ClusterDef
getClusterDef () 
 Optional list of all workers to use in this session.
ClusterDef.Builder
getClusterDefBuilder () 
 Optional list of all workers to use in this session.
ClusterDefOrBuilder
getClusterDefOrBuilder () 
 Optional list of all workers to use in this session.
ConfigProto
getDefaultInstanceForType ()
نهایی static com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
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.Experimental.Builder
getExperimentalBuilder ()
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.ExperimentalOrBuilder
getExperimentalOrBuilder ()
.tensorflow.ConfigProto.Experimental experimental = 16;
گزینه های GPU
getGpuOptions () 
 Options that apply to all GPUs.
GPUOptions.Builder
getGpuOptionsBuilder () 
 Options that apply to all GPUs.
GPUOptionsOrBuilder
getGpuOptionsOrBuilder () 
 Options that apply to all GPUs.
GraphOptions
getGraphOptions () 
 Options that apply to all graphs.
GraphOptions.Builder
getGraphOptionsBuilder () 
 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.
نقشه<رشته، عدد صحیح>
getMutableDeviceCount ()
به جای آن از ابزارهای جهش جایگزین استفاده کنید.
طولانی
getOperationTimeoutInMs () 
 Global timeout for all blocking operations in this session.
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.
RPCOptions.Builder
getRpcOptionsBuilder () 
 Options that apply when this session uses the distributed runtime.
RPCOptionsOrBuilder
getRpcOptionsOrBuilder () 
 Options that apply when this session uses the distributed runtime.
ThreadPoolOptionProto
getSessionInterOpThreadPool (شاخص int) 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ThreadPoolOptionProto.Builder
getSessionInterOpThreadPoolBuilder (شاخص int) 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
لیست< ThreadPoolOptionProto.Builder >
getSessionInterOpThreadPoolBuilderList () 
 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.
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.
بولی نهایی
اولیه شده است ()
ConfigProto.Builder
mergeClusterDef (مقدار ClusterDef ) 
 Optional list of all workers to use in this session.
ConfigProto.Builder
mergeExperimental (مقدار ConfigProto.Experimental )
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Builder
mergeFrom (com.google.protobuf.Message other)
ConfigProto.Builder
mergeFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto.Builder
mergeGpuOptions (مقدار GPUOptions ) 
 Options that apply to all GPUs.
ConfigProto.Builder
mergeGraphOptions (مقدار GraphOptions ) 
 Options that apply to all graphs.
ConfigProto.Builder
mergeRpcOptions (مقدار RPCOptions ) 
 Options that apply when this session uses the distributed runtime.
ConfigProto.Builder نهایی
mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
ConfigProto.Builder
putAllDeviceCount (مقادیر Map<String, Integer>) 
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
ConfigProto.Builder
putDeviceCount (کلید رشته، مقدار int) 
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
ConfigProto.Builder
removeDeviceCount (کلید رشته) 
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
ConfigProto.Builder
removeSessionInterOpThreadPool (شاخص int) 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
setAllowSoftPlacement (مقدار بولی) 
 Whether soft placement is allowed.
ConfigProto.Builder
setClusterDef ( ClusterDef.Builder builderForValue) 
 Optional list of all workers to use in this session.
ConfigProto.Builder
setClusterDef (مقدار ClusterDef ) 
 Optional list of all workers to use in this session.
ConfigProto.Builder
setDeviceFilters (شاخص int، مقدار رشته) 
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
setExperimental (مقدار ConfigProto.Experimental )
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Builder
setExperimental ( ConfigProto.Experimental.Builder builderForValue)
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Builder
setField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)
ConfigProto.Builder
setGpuOptions ( GPUOptions.Builder builderForValue) 
 Options that apply to all GPUs.
ConfigProto.Builder
setGpuOptions (مقدار GPUOptions ) 
 Options that apply to all GPUs.
ConfigProto.Builder
setGraphOptions ( GraphOptions.Builder builderForValue) 
 Options that apply to all graphs.
ConfigProto.Builder
setGraphOptions (مقدار GraphOptions ) 
 Options that apply to all graphs.
ConfigProto.Builder
setInterOpParallelismThreads (مقدار int) 
 Nodes that perform blocking operations are enqueued on a pool of
 inter_op_parallelism_threads available in each process.
ConfigProto.Builder
setIntraOpParallelismThreads (مقدار int) 
 The execution of an individual op (for some op types) can be
 parallelized on a pool of intra_op_parallelism_threads.
ConfigProto.Builder
setIsolateSessionState (مقدار بولی) 
 If true, any resources such as Variables used in the session will not be
 shared with other sessions.
ConfigProto.Builder
setLogDevicePlacement (مقدار بولی) 
 Whether device placements should be logged.
ConfigProto.Builder
setOperationTimeoutInMs (مقدار طولانی) 
 Global timeout for all blocking operations in this session.
ConfigProto.Builder
setPlacementPeriod (مقدار int) 
 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).
ConfigProto.Builder
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor، نمایه int، مقدار Object)
ConfigProto.Builder
setRpcOptions (مقدار RPCOptions ) 
 Options that apply when this session uses the distributed runtime.
ConfigProto.Builder
setRpcOptions ( RPCOptions.Builder builderForValue) 
 Options that apply when this session uses the distributed runtime.
ConfigProto.Builder
setSessionInterOpThreadPool (شاخص int، مقدار ThreadPoolOptionProto ) 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
setSessionInterOpThreadPool (int index، ThreadPoolOptionProto.Builder builderForValue) 
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
setShareClusterDevicesInSession (مقدار بولی) 
 When true, WorkerSessions are created with device attributes from the
 full cluster.
ConfigProto.Builder نهایی
setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
ConfigProto.Builder
setUsePerSessionThreads (مقدار بولی) 
 If true, use a new set of threads for this session rather than the global
 pool of threads.

روش های ارثی

روش های عمومی

عمومی ConfigProto.Builder addAllDeviceFilters (مقادیر<String> قابل تکرار) 

 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.Builder addAllSessionInterOpThreadPool (Iterable<? ThreadPoolOptionProto > مقادیر را گسترش می دهد) 

 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 ConfigProto.Builder addDeviceFilters (مقدار رشته) 

 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.Builder addDeviceFiltersBytes (مقدار com.google.protobuf.ByteString) 

 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.Builder addRepeatedField (فیلد com.google.protobuf.Descriptors.FieldDescriptor، مقدار Object)

عمومی ConfigProto.Builder addSessionInterOpThreadPool (مقدار ThreadPoolOptionProto ) 

 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 ConfigProto.Builder addSessionInterOpThreadPool (int index، ThreadPoolOptionProto مقدار) 

 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 ConfigProto.Builder addSessionInterOpThreadPool ( ThreadPoolOptionProto.Builder builderForValue) 

 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 ConfigProto.Builder addSessionInterOpThreadPool (int index، ThreadPoolOptionProto.Builder builderForValue) 

 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 ThreadPoolOptionProto.Builder addSessionInterOpThreadPoolBuilder (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 ThreadPoolOptionProto.Builder addSessionInterOpThreadPoolBuilder () 

 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;

ساخت عمومی ConfigProto ()

عمومی ConfigProto buildPartial ()

عمومی ConfigProto.Builder پاک ()

عمومی ConfigProto.Builder clearAllowSoftPlacement () 

 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 ConfigProto.Builder clearClusterDef () 

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

عمومی ConfigProto.Builder clearDeviceCount ()

عمومی ConfigProto.Builder clearDeviceFilters () 

 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.Builder clearExperimental ()

.tensorflow.ConfigProto.Experimental experimental = 16;

public ConfigProto.Builder clearField (فیلد com.google.protobuf.Descriptors.FieldDescriptor)

عمومی ConfigProto.Builder clearGpuOptions () 

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

عمومی ConfigProto.Builder clearGraphOptions () 

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

عمومی ConfigProto.Builder clearInterOpParallelismThreads () 

 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 ConfigProto.Builder clearIntraOpParallelismThreads () 

 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;

عمومی ConfigProto.Builder clearIsolateSessionState () 

 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;

عمومی ConfigProto.Builder clearLogDevicePlacement () 

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

public ConfigProto.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

عمومی ConfigProto.Builder clearOperationTimeoutInMs () 

 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 ConfigProto.Builder clearPlacementPeriod () 

 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 ConfigProto.Builder clearRpcOptions () 

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

عمومی ConfigProto.Builder clearSessionInterOpThreadPool () 

 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 ConfigProto.Builder clearShareClusterDevicesInSession () 

 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 ConfigProto.Builder clearUsePerSessionThreads () 

 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;

کلون عمومی ConfigProto.Builder ()

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;

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 ClusterDef.Builder getClusterDefBuilder () 

 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 ConfigProto getDefaultInstanceForType ()

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

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

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.Experimental.Builder getExperimentalBuilder ()

.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 GPUOptions.Builder getGpuOptionsBuilder () 

 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 GraphOptions.Builder getGraphOptionsBuilder () 

 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;

نقشه عمومی <رشته، عدد صحیح> getMutableDeviceCount ()

به جای آن از ابزارهای جهش جایگزین استفاده کنید.

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 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 RPCOptions.Builder getRpcOptionsBuilder () 

 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 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 ThreadPoolOptionProto.Builder getSessionInterOpThreadPoolBuilder (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< ThreadPoolOptionProto.Builder > getSessionInterOpThreadPoolBuilderList () 

 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;

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;

بولین نهایی عمومی isInitialized ()

عمومی ConfigProto.Builder mergeClusterDef (مقدار ClusterDef ) 

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

عمومی ConfigProto.Builder mergeExperimental (مقدار ConfigProto.Experimental )

.tensorflow.ConfigProto.Experimental experimental = 16;

عمومی ConfigProto.Builder mergeFrom (com.google.protobuf.Message other)

عمومی ConfigProto.Builder mergeFrom (com.google.protobuf.CodedInputStream ورودی، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
IOException

عمومی ConfigProto.Builder mergeGpuOptions (مقدار GPUOptions ) 

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

عمومی ConfigProto.Builder mergeGraphOptions (مقدار GraphOptions ) 

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

عمومی ConfigProto.Builder mergeRpcOptions (مقدار RPCOptions ) 

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

نهایی عمومی ConfigProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public ConfigProto.Builder putAllDeviceCount (مقادیر Map<String, Integer>) 

 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 ConfigProto.Builder putDeviceCount (کلید رشته، مقدار 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;

public ConfigProto.Builder removeDeviceCount (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;

public ConfigProto.Builder removeSessionInterOpThreadPool (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;

public ConfigProto.Builder setAllowSoftPlacement (مقدار بولی) 

 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 ConfigProto.Builder setClusterDef ( ClusterDef.Builder builderForValue) 

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

public ConfigProto.Builder setClusterDef (مقدار ClusterDef ) 

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

عمومی ConfigProto.Builder setDeviceFilters (شاخص int، مقدار رشته) 

 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.Builder setExperimental (مقدار ConfigProto.Experimental )

.tensorflow.ConfigProto.Experimental experimental = 16;

عمومی ConfigProto.Builder setExperimental ( ConfigProto.Experimental.Builder builderForValue)

.tensorflow.ConfigProto.Experimental experimental = 16;

public ConfigProto.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)

عمومی ConfigProto.Builder setGpuOptions ( GPUOptions.Builder builderForValue) 

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

public ConfigProto.Builder setGpuOptions (مقدار GPUOptions ) 

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

عمومی ConfigProto.Builder setGraphOptions ( GraphOptions.Builder builderForValue) 

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

public ConfigProto.Builder setGraphOptions (مقدار GraphOptions ) 

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

عمومی ConfigProto.Builder setInterOpParallelismThreads (مقدار int) 

 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 ConfigProto.Builder setIntraOpParallelismThreads (مقدار int) 

 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;

عمومی ConfigProto.Builder setIsolateSessionState (مقدار بولی) 

 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;

عمومی ConfigProto.Builder setLogDevicePlacement (مقدار بولی) 

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

public ConfigProto.Builder setOperationTimeoutInMs (مقدار طولانی) 

 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 ConfigProto.Builder setPlacementPeriod (مقدار int) 

 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 ConfigProto.Builder setRepeatedField (فیلد com.google.protobuf.Descriptors.FieldDescriptor، نمایه int، مقدار Object)

public ConfigProto.Builder setRpcOptions (مقدار RPCOptions ) 

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

عمومی ConfigProto.Builder setRpcOptions ( RPCOptions.Builder builderForValue) 

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

عمومی ConfigProto.Builder setSessionInterOpThreadPool (int index، ThreadPoolOptionProto مقدار) 

 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 ConfigProto.Builder setSessionInterOpThreadPool (int index، ThreadPoolOptionProto.Builder builderForValue) 

 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 ConfigProto.Builder setShareClusterDevicesInSession (مقدار بولی) 

 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;

نهایی عمومی ConfigProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

عمومی ConfigProto.Builder setUsePerSessionThreads (مقدار بولی) 

 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;