ConfigProto.Builder

ConfigProto.Builder คลาสสุดท้ายแบบคงที่สาธารณะ

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

วิธีการสาธารณะ

ConfigProto.Builder
addAllDeviceFilters (ค่า Iterable<String>)
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
addAllSessionInterOpThreadPool (Iterable<? ขยาย ThreadPoolOptionProto > ค่า)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
addDeviceFilters (ค่าสตริง)
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
addDeviceFiltersBytes (ค่า com.google.protobuf.ByteString)
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor ช่อง ค่าอ็อบเจ็กต์)
ConfigProto.Builder
addSessionInterOpThreadPool (ค่า ThreadPoolOptionProto )
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
addSessionInterOpThreadPool (ดัชนี int, ค่า 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 (ดัชนี int, ThreadPoolOptionProto.Builder builderForValue)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ThreadPoolOptionProto.Builder
addSessionInterOpThreadPoolBuilder (ดัชนี 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
ConfigProto
ConfigProto.Builder
ConfigProto.Builder
clearAllowSoftตำแหน่ง ()
 Whether soft placement is allowed.
ConfigProto.Builder
clearClusterDef ()
 Optional list of all workers to use in this session.
ConfigProto.Builder
ConfigProto.Builder
ล้างตัวกรองอุปกรณ์ ()
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
ชัดเจนการทดลอง ()
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Builder
clearField (ฟิลด์ 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
clearInterOpParallelismThreads ()
 Nodes that perform blocking operations are enqueued on a pool of
 inter_op_parallelism_threads available in each process.
ConfigProto.Builder
clearIntraOpParallelismThreads ()
 The execution of an individual op (for some op types) can be
 parallelized on a pool of intra_op_parallelism_threads.
ConfigProto.Builder
ล้าง IsolateSessionState ()
 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
ชัดเจนตำแหน่งระยะเวลา ()
 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
บูลีน
containsDeviceCount (คีย์สตริง)
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
บูลีน
getAllowSoftPlacement ()
 Whether soft placement is allowed.
คลัสเตอร์ดีฟ
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
com.google.protobuf.Descriptors.Descriptor แบบคงที่ขั้นสุดท้าย
com.google.protobuf.Descriptors.Descriptor
แมป<สตริง จำนวนเต็ม>
ภายใน
getDeviceCountCount ()
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
แมป<สตริง จำนวนเต็ม>
getDeviceCountMap ()
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
ภายใน
getDeviceCountOrDefault (คีย์สตริง, int defaultValue)
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
ภายใน
getDeviceCountOrThrow (คีย์สตริง)
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
สตริง
getDeviceFilters (ดัชนี int)
 When any filters are present sessions will ignore all devices which do not
 match the filters.
com.google.protobuf.ByteString
getDeviceFiltersBytes (ดัชนี int)
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ภายใน
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 ทดลอง
รับการทดลอง ()
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Experimental.Builder
รับExperimentalBuilder ()
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.ExperimentalOrBuilder
รับExperimentalOrBuilder ()
.tensorflow.ConfigProto.Experimental experimental = 16;
ตัวเลือก GPU
getGpuOptions ()
 Options that apply to all GPUs.
GPUOptions.ตัวสร้าง
getGpuOptionsBuilder ()
 Options that apply to all GPUs.
GPUOptionsOrBuilder
getGpuOptionsOrBuilder ()
 Options that apply to all GPUs.
ตัวเลือกกราฟ
getGraphOptions ()
 Options that apply to all graphs.
GraphOptions.ตัวสร้าง
getGraphOptionsBuilder ()
 Options that apply to all graphs.
GraphOptionsOrBuilder
getGraphOptionsOrBuilder ()
 Options that apply to all graphs.
ภายใน
getInterOpParallelismThreads ()
 Nodes that perform blocking operations are enqueued on a pool of
 inter_op_parallelism_threads available in each process.
ภายใน
getIntraOpParallelismThreads ()
 The execution of an individual op (for some op types) can be
 parallelized on a pool of intra_op_parallelism_threads.
บูลีน
getIsolateSessionState ()
 If true, any resources such as Variables used in the session will not be
 shared with other sessions.
บูลีน
getLogDevicePlacement ()
 Whether device placements should be logged.
แมป<สตริง จำนวนเต็ม>
getMutableDeviceCount ()
ใช้ตัวเข้าถึงการกลายพันธุ์สำรองแทน
ยาว
getOperationTimeoutInMs ()
 Global timeout for all blocking operations in this session.
ภายใน
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).
RPCตัวเลือก
getRpcOptions ()
 Options that apply when this session uses the distributed runtime.
RPCOptions.ตัวสร้าง
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 (ดัชนี int)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ThreadPoolOptionProto.Builder
getSessionInterOpThreadPoolBuilder (ดัชนี int)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
รายการ < ThreadPoolOptionProto.Builder >
getSessionInterOpThreadPoolBuilderList ()
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ภายใน
getSessionInterOpThreadPoolCount ()
 This option is experimental - it may be replaced with a different mechanism
 in the future.
รายการ < ThreadPoolOptionProto >
getSessionInterOpThreadPoolList ()
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ThreadPoolOptionProtoOrBuilder
getSessionInterOpThreadPoolOrBuilder (ดัชนี int)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
รายการ<? ขยาย ThreadPoolOptionProtoOrBuilder >
getSessionInterOpThreadPoolOrBuilderList ()
 This option is experimental - it may be replaced with a different mechanism
 in the future.
บูลีน
getShareClusterDevicesInSession ()
 When true, WorkerSessions are created with device attributes from the
 full cluster.
บูลีน
getUsePerSessionThreads ()
 If true, use a new set of threads for this session rather than the global
 pool of threads.
บูลีน
hasClusterDef ()
 Optional list of all workers to use in this session.
บูลีน
มีการทดลอง ()
.tensorflow.ConfigProto.Experimental experimental = 16;
บูลีน
hasGpuOptions ()
 Options that apply to all GPUs.
บูลีน
hasGraphOptions ()
 Options that apply to all graphs.
บูลีน
hasRpcOptions ()
 Options that apply when this session uses the distributed runtime.
บูลีนสุดท้าย
ConfigProto.Builder
mergeClusterDef (ค่า ClusterDef )
 Optional list of all workers to use in this session.
ConfigProto.Builder
mergeExperimental ( ConfigProto ค่าทดลอง)
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Builder
mergeFrom (com.google.protobuf.ข้อความ อื่น ๆ )
ConfigProto.Builder
mergeFrom (com.google.protobuf.CodedInputStream อินพุต com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConfigProto.Builder
mergeGpuOptions (ค่า GPUOptions )
 Options that apply to all GPUs.
ConfigProto.Builder
mergeGraphOptions ( ค่า GraphOptions )
 Options that apply to all graphs.
ConfigProto.Builder
mergeRpcOptions (ค่า RPCOptions )
 Options that apply when this session uses the distributed runtime.
ConfigProto.Builder สุดท้าย
mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
ConfigProto.Builder
putAllDeviceCount (ค่าแมป <สตริง, จำนวนเต็ม>)
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
ConfigProto.Builder
putDeviceCount (คีย์สตริง, ค่า int)
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
ConfigProto.Builder
RemoveDeviceCount (คีย์สตริง)
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
ConfigProto.Builder
RemoveSessionInterOpThreadPool (ดัชนี int)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
setAllowSoftPlacement (ค่าบูลีน)
 Whether soft placement is allowed.
ConfigProto.Builder
setClusterDef ( ClusterDef.Builder builderForValue)
 Optional list of all workers to use in this session.
ConfigProto.Builder
setClusterDef (ค่า ClusterDef )
 Optional list of all workers to use in this session.
ConfigProto.Builder
setDeviceFilters (ดัชนี int, ค่าสตริง)
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
setExperimental ( ConfigProto. ค่าการทดลอง)
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Builder
setExperimental ( ConfigProto.Experimental.Builder builderForValue)
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Builder
setField (ฟิลด์ com.google.protobuf.Descriptors.FieldDescriptor ค่าอ็อบเจ็กต์)
ConfigProto.Builder
setGpuOptions ( GPUOptions.Builder builderForValue)
 Options that apply to all GPUs.
ConfigProto.Builder
setGpuOptions (ค่า GPUOptions )
 Options that apply to all GPUs.
ConfigProto.Builder
setGraphOptions ( GraphOptions.Builder builderForValue)
 Options that apply to all graphs.
ConfigProto.Builder
setGraphOptions (ค่า GraphOptions )
 Options that apply to all graphs.
ConfigProto.Builder
setInterOpParallelismThreads (ค่า int)
 Nodes that perform blocking operations are enqueued on a pool of
 inter_op_parallelism_threads available in each process.
ConfigProto.Builder
setIntraOpParallelismThreads (ค่า 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 (ค่าบูลีน)
 If true, any resources such as Variables used in the session will not be
 shared with other sessions.
ConfigProto.Builder
setLogDevicePlacement (ค่าบูลีน)
 Whether device placements should be logged.
ConfigProto.Builder
setOperationTimeoutInMs (ค่ายาว)
 Global timeout for all blocking operations in this session.
ConfigProto.Builder
setPlacementPeriod (ค่า 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 (ฟิลด์ com.google.protobuf.Descriptors.FieldDescriptor, ดัชนี int, ค่าอ็อบเจ็กต์)
ConfigProto.Builder
setRpcOptions (ค่า 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 (ดัชนี int, ค่า ThreadPoolOptionProto )
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
setSessionInterOpThreadPool (ดัชนี int, ThreadPoolOptionProto.Builder builderForValue)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
setShareClusterDevicesInSession (ค่าบูลีน)
 When true, WorkerSessions are created with device attributes from the
 full cluster.
ConfigProto.Builder สุดท้าย
setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
ConfigProto.Builder
setUsePerSessionThreads (ค่าบูลีน)
 If true, use a new set of threads for this session rather than the global
 pool of threads.

วิธีการสืบทอด

วิธีการสาธารณะ

ConfigProto.Builder สาธารณะ addAllDeviceFilters (ค่า Iterable <String>)

 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;

ConfigProto.Builder สาธารณะ addAllSessionInterOpThreadPool (Iterable <? ขยาย ThreadPoolOptionProto > ค่า)

 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;

ConfigProto.Builder สาธารณะ addDeviceFilters (ค่าสตริง)

 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;

ConfigProto.Builder สาธารณะ addDeviceFiltersBytes (ค่า 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;

ConfigProto.Builder addRepeatedField สาธารณะ (ฟิลด์ com.google.protobuf.Descriptors.FieldDescriptor ค่าอ็อบเจ็กต์)

ConfigProto.Builder สาธารณะ addSessionInterOpThreadPool (ค่า 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;

ConfigProto.Builder สาธารณะ addSessionInterOpThreadPool (ดัชนี int, ค่า 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;

ConfigProto.Builder สาธารณะ 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;

ConfigProto.Builder สาธารณะ addSessionInterOpThreadPool (ดัชนี int, 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;

ThreadPoolOptionProto.Builder สาธารณะ addSessionInterOpThreadPoolBuilder (ดัชนี 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;

ThreadPoolOptionProto.Builder สาธารณะ 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;

โครงสร้าง ConfigProto สาธารณะ ()

ConfigProto buildPartial สาธารณะ ()

ConfigProto.Builder สาธารณะ ชัดเจน ()

ConfigProto.Builder สาธารณะ 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;

ConfigProto.Builder สาธารณะ clearClusterDef ()

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

ConfigProto.Builder สาธารณะ clearDeviceCount ()

ConfigProto.Builder สาธารณะ 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;

ConfigProto.Builder สาธารณะ clearExperimental ()

.tensorflow.ConfigProto.Experimental experimental = 16;

ConfigProto.Builder clearField สาธารณะ (ฟิลด์ com.google.protobuf.Descriptors.FieldDescriptor)

ConfigProto.Builder สาธารณะ clearGpuOptions ()

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

ConfigProto.Builder สาธารณะ clearGraphOptions ()

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

ConfigProto.Builder สาธารณะ 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;

ConfigProto.Builder สาธารณะ 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;

ConfigProto.Builder สาธารณะ 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;

ConfigProto.Builder สาธารณะ clearLogDevicePlacement ()

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

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

ConfigProto.Builder สาธารณะ 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;

ConfigProto.Builder สาธารณะ 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;

ConfigProto.Builder สาธารณะ clearRpcOptions ()

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

ConfigProto.Builder สาธารณะ 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;

ConfigProto.Builder สาธารณะ 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;

ConfigProto.Builder สาธารณะ 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;

โคลน ConfigProto.Builder สาธารณะ ()

บูลีนสาธารณะ ประกอบด้วยDeviceCount (คีย์สตริง)

 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;

บูลีนสาธารณะ 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;

ClusterDef สาธารณะ getClusterDef ()

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

ClusterDef.Builder สาธารณะ getClusterDefBuilder ()

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

ClusterDefOrBuilder สาธารณะ getClusterDefOrBuilder ()

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

ConfigProto สาธารณะ getDefaultInstanceForType ()

สาธารณะคงที่สุดท้าย com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

แผนที่สาธารณะ <String, Integer> getDeviceCount ()

ใช้ getDeviceCountMap() แทน

สาธารณะ 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;

แผนที่สาธารณะ <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;

สาธารณะ int getDeviceCountOrDefault (คีย์สตริง, 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;

int สาธารณะ getDeviceCountOrThrow (คีย์สตริง)

 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;

สตริงสาธารณะ getDeviceFilters (ดัชนี 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;

สาธารณะ com.google.protobuf.ByteString getDeviceFiltersBytes (ดัชนี 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;

สาธารณะ 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;

สาธารณะ 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;

ConfigProto สาธารณะ ทดลอง getExperimental ()

.tensorflow.ConfigProto.Experimental experimental = 16;

ConfigProto.Experimental.Builder สาธารณะ getExperimentalBuilder ()

.tensorflow.ConfigProto.Experimental experimental = 16;

ConfigProto.ExperimentalOrBuilder สาธารณะ getExperimentalOrBuilder ()

.tensorflow.ConfigProto.Experimental experimental = 16;

GPUOptions สาธารณะ getGpuOptions ()

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

GPUOptions.Builder สาธารณะ getGpuOptionsBuilder ()

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

GPUOptionsOrBuilder สาธารณะ getGpuOptionsOrBuilder ()

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

GraphOptions สาธารณะ getGraphOptions ()

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

GraphOptions.Builder สาธารณะ getGraphOptionsBuilder ()

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

GraphOptionsOrBuilder สาธารณะ getGraphOptionsOrBuilder ()

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

int สาธารณะ 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;

int สาธารณะ 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;

บูลีนสาธารณะ 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;

บูลีนสาธารณะ getLogDevicePlacement ()

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

แผนที่สาธารณะ <String, Integer> getMutableDeviceCount ()

ใช้ตัวเข้าถึงการกลายพันธุ์สำรองแทน

สาธารณะ getOperationTimeoutInMs ยาว ()

 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;

สาธารณะ 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;

RPCOptions สาธารณะ getRpcOptions ()

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

RPCOptions.Builder สาธารณะ getRpcOptionsBuilder ()

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

RPCOptionsOrBuilder สาธารณะ getRpcOptionsOrBuilder ()

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

ThreadPoolOptionPro สาธารณะ เพื่อรับSessionInterOpThreadPool (ดัชนี 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;

ThreadPoolOptionProto.Builder สาธารณะ getSessionInterOpThreadPoolBuilder (ดัชนี 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;

รายการสาธารณะ < 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;

int สาธารณะ 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;

รายการสาธารณะ < 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;

ThreadPoolOptionProtoOrBuilder สาธารณะ getSessionInterOpThreadPoolOrBuilder (ดัชนี 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;

รายการสาธารณะ<? ขยาย 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;

บูลีนสาธารณะ 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;

บูลีนสาธารณะ 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 บูลีนสาธารณะ ()

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

บูลีนสาธารณะ มีการทดลอง ()

.tensorflow.ConfigProto.Experimental experimental = 16;

hasGpuOptions บูลีนสาธารณะ ()

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

hasGraphOptions บูลีนสาธารณะ ()

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

บูลีนสาธารณะ hasRpcOptions ()

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

บูลีนสุดท้ายสาธารณะ isInitialized ()

ConfigProto.Builder สาธารณะ mergeClusterDef (ค่า ClusterDef )

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

ConfigProto.Builder สาธารณะ ผสาน Experimental ( ConfigProto.Experimental มูลค่า)

.tensorflow.ConfigProto.Experimental experimental = 16;

ConfigProto.Builder สาธารณะ ผสานจาก (com.google.protobuf.Message อื่น ๆ )

ConfigProto.Builder สาธารณะ ผสานจาก (com.google.protobuf.CodedInputStream อินพุต com.google.protobuf.ExtensionRegistryLite extensionRegistry)

ขว้าง
IOข้อยกเว้น

ConfigProto.Builder สาธารณะ ผสาน GpuOptions (ค่า GPUOptions )

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

ConfigProto.Builder สาธารณะ mergeGraphOptions (ค่า GraphOptions )

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

ConfigProto.Builder สาธารณะ ผสาน RpcOptions (ค่า RPCOptions )

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

ConfigProto.Builder สาธารณะขั้นสุดท้าย ผสาน UnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

ConfigProto.Builder สาธารณะ putAllDeviceCount (ค่าแมป <สตริง, จำนวนเต็ม>)

 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;

ConfigProto.Builder สาธารณะ putDeviceCount (คีย์สตริง, ค่า 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;

ConfigProto.Builder สาธารณะ RemoveDeviceCount (คีย์สตริง)

 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;

ConfigProto.Builder สาธารณะ RemoveSessionInterOpThreadPool (ดัชนี 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;

ConfigProto.Builder สาธารณะ setAllowSoftPlacement (ค่าบูลีน)

 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;

ConfigProto.Builder setClusterDef สาธารณะ ( ClusterDef.Builder builderForValue)

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

ConfigProto.Builder setClusterDef สาธารณะ (ค่า ClusterDef )

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

ConfigProto.Builder สาธารณะ setDeviceFilters (ดัชนี int, ค่าสตริง)

 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;

ConfigProto.Builder setExperimental สาธารณะ ( ConfigProto.Experimental ค่า)

.tensorflow.ConfigProto.Experimental experimental = 16;

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

.tensorflow.ConfigProto.Experimental experimental = 16;

ConfigProto.Builder setField สาธารณะ (ฟิลด์ com.google.protobuf.Descriptors.FieldDescriptor ค่าอ็อบเจ็กต์)

ConfigProto.Builder setGpuOptions สาธารณะ ( GPUOptions.Builder builderForValue)

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

ConfigProto.Builder setGpuOptions สาธารณะ (ค่า GPUOptions )

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

ConfigProto.Builder setGraphOptions สาธารณะ ( GraphOptions.Builder builderForValue)

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

ConfigProto.Builder setGraphOptions สาธารณะ (ค่า GraphOptions )

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

ConfigProto.Builder สาธารณะ setInterOpParallelismThreads (ค่า 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;

ConfigProto.Builder สาธารณะ setIntraOpParallelismThreads (ค่า 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;

ConfigProto.Builder สาธารณะ setIsolateSessionState (ค่าบูลีน)

 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;

ConfigProto.Builder สาธารณะ setLogDevicePlacement (ค่าบูลีน)

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

ConfigProto.Builder สาธารณะ setOperationTimeoutInMs (ค่ายาว)

 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;

ConfigProto.Builder สาธารณะ setPlacementPeriod (ค่า 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;

ConfigProto.Builder setRepeatedField สาธารณะ (ฟิลด์ com.google.protobuf.Descriptors.FieldDescriptor, ดัชนี int, ค่าอ็อบเจ็กต์)

ConfigProto.Builder setRpcOptions สาธารณะ (ค่า RPCOptions )

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

ConfigProto.Builder setRpcOptions สาธารณะ ( RPCOptions.Builder builderForValue)

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

ConfigProto.Builder สาธารณะ setSessionInterOpThreadPool (ดัชนี int, ค่า 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;

ConfigProto.Builder สาธารณะ setSessionInterOpThreadPool (ดัชนี int, 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;

ConfigProto.Builder สาธารณะ setShareClusterDevicesInSession (ค่าบูลีน)

 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;

ConfigProto.Builder สุดท้ายสาธารณะ setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

ConfigProto.Builder สาธารณะ setUsePerSessionThreads (ค่าบูลีน)

 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;