ConfigProto.Builder

publiczna statyczna klasa końcowa ConfigProto.Builder

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

Metody publiczne

ConfigProto.Builder
addAllDeviceFilters (wartości Iterable<String>)
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
addAllSessionInterOpThreadPool (Iterable<? rozszerza wartości ThreadPoolOptionProto >)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
addDeviceFilters (wartość ciągu)
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
addDeviceFiltersBytes (wartość com.google.protobuf.ByteString)
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
addRepeatedField (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)
ConfigProto.Builder
addSessionInterOpThreadPool (wartość ThreadPoolOptionProto )
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
addSessionInterOpThreadPool (indeks int, wartość 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 (indeks int, ThreadPoolOptionProto.Builder builderForValue)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ThreadPoolOptionProto.Builder
addSessionInterOpThreadPoolBuilder (indeks 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.
KonfiguracjaProto
KonfiguracjaProto
ConfigProto.Builder
jasne ()
ConfigProto.Builder
clearAllowSoftPlacement ()
 Whether soft placement is allowed.
ConfigProto.Builder
wyczyśćClusterDef ()
 Optional list of all workers to use in this session.
ConfigProto.Builder
ConfigProto.Builder
wyczyść filtry urządzeń ()
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
jasneEksperymentalne ()
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Builder
clearField (pole com.google.protobuf.Descriptors.FieldDescriptor)
ConfigProto.Builder
wyczyśćGpuOpcje ()
 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
wyczyśćIsolateSessionState ()
 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
wyczyśćPlacementPeriod ()
 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
wyczyśćRpcOpcje ()
 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
klon ()
wartość logiczna
zawieraDeviceCount (klucz ciąg)
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
wartość logiczna
getAllowSoftPlacement ()
 Whether soft placement is allowed.
KlasterDef
pobierzClusterDef ()
 Optional list of all workers to use in this session.
Konstruktor defibrylacji klastrów
getClusterDefBuilder ()
 Optional list of all workers to use in this session.
ClusterDefOrBuilder
getClusterDefOrBuilder ()
 Optional list of all workers to use in this session.
KonfiguracjaProto
końcowy statyczny com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
Mapa<String, Integer>
pobierz liczbę urządzeń ()
Zamiast tego użyj funkcji getDeviceCountMap() .
wew
getDeviceCountCount ()
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
Mapa<String, Integer>
getDeviceCountMap ()
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
wew
getDeviceCountOrDefault (klucz ciągu, int wartość domyślna)
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
wew
getDeviceCountOrThrow (klucz ciąg)
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
Smyczkowy
getDeviceFilters (indeks int)
 When any filters are present sessions will ignore all devices which do not
 match the filters.
com.google.protobuf.ByteString
getDeviceFiltersBytes (indeks int)
 When any filters are present sessions will ignore all devices which do not
 match the filters.
wew
pobierz liczbę filtrów urządzeń ()
 When any filters are present sessions will ignore all devices which do not
 match the filters.
com.google.protobuf.ProtocolStringList
pobierz listę filtrów urządzeń ()
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Eksperymentalny
uzyskaj eksperymentalny ()
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Experimental.Builder
getExperimentalBuilder ()
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.ExperimentalOrBuilder
getExperimentalOrBuilder ()
.tensorflow.ConfigProto.Experimental experimental = 16;
Opcje GPU
getGpuOptions ()
 Options that apply to all GPUs.
Opcje GPU. Konstruktor
getGpuOptionsBuilder ()
 Options that apply to all GPUs.
Opcje GPULubBuilder
getGpuOptionsOrBuilder ()
 Options that apply to all GPUs.
Opcje wykresu
getGraphOptions ()
 Options that apply to all graphs.
GraphOptions.Builder
getGraphOptionsBuilder ()
 Options that apply to all graphs.
GraphOptionsOrBuilder
getGraphOptionsOrBuilder ()
 Options that apply to all graphs.
wew
getInterOpParallelismThreads ()
 Nodes that perform blocking operations are enqueued on a pool of
 inter_op_parallelism_threads available in each process.
wew
getIntraOpParallelismThreads ()
 The execution of an individual op (for some op types) can be
 parallelized on a pool of intra_op_parallelism_threads.
wartość logiczna
getIsolateSessionState ()
 If true, any resources such as Variables used in the session will not be
 shared with other sessions.
wartość logiczna
getLogDevicePlacement ()
 Whether device placements should be logged.
Mapa<String, Integer>
getMutableDeviceCount ()
Zamiast tego użyj alternatywnych akcesorów mutacji.
długi
getOperationTimeoutInMs ()
 Global timeout for all blocking operations in this session.
wew
pobierzPlacementPeriod ()
 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).
Opcje RPC
getRpcOptions ()
 Options that apply when this session uses the distributed runtime.
Konstruktor 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.
ThreadPoolOpcjaProto
getSessionInterOpThreadPool (indeks int)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ThreadPoolOptionProto.Builder
getSessionInterOpThreadPoolBuilder (indeks int)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
Lista< ThreadPoolOptionProto.Builder >
getSessionInterOpThreadPoolBuilderList ()
 This option is experimental - it may be replaced with a different mechanism
 in the future.
wew
getSessionInterOpThreadPoolCount ()
 This option is experimental - it may be replaced with a different mechanism
 in the future.
Lista< ThreadPoolOptionProto >
getSessionInterOpThreadPoolList ()
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ThreadPoolOptionProtoOrBuilder
getSessionInterOpThreadPoolOrBuilder (indeks int)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
Lista<? rozszerza ThreadPoolOptionProtoOrBuilder >
getSessionInterOpThreadPoolOrBuilderList ()
 This option is experimental - it may be replaced with a different mechanism
 in the future.
wartość logiczna
getShareClusterDevicesInSession ()
 When true, WorkerSessions are created with device attributes from the
 full cluster.
wartość logiczna
getUsePerSessionThreads ()
 If true, use a new set of threads for this session rather than the global
 pool of threads.
wartość logiczna
maClusterDef ()
 Optional list of all workers to use in this session.
wartość logiczna
maEksperymentalny ()
.tensorflow.ConfigProto.Experimental experimental = 16;
wartość logiczna
maGpuOpcje ()
 Options that apply to all GPUs.
wartość logiczna
maGraphOptions ()
 Options that apply to all graphs.
wartość logiczna
maRpcOptions ()
 Options that apply when this session uses the distributed runtime.
końcowa wartość logiczna
ConfigProto.Builder
mergeClusterDef (wartość ClusterDef )
 Optional list of all workers to use in this session.
ConfigProto.Builder
mergeExperimental (wartość ConfigProto.Experimental )
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Builder
mergeFrom (com.google.protobuf.Wiadomość inna)
ConfigProto.Builder
mergeFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
ConfigProto.Builder
mergeGpuOptions (wartość GPUOptions )
 Options that apply to all GPUs.
ConfigProto.Builder
mergeGraphOptions (wartość GraphOptions )
 Options that apply to all graphs.
ConfigProto.Builder
mergeRpcOptions (wartość RPCOptions )
 Options that apply when this session uses the distributed runtime.
końcowy ConfigProto.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldUstaw nieznane pola)
ConfigProto.Builder
putAllDeviceCount (wartości 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 (klucz ciągu, wartość int)
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
ConfigProto.Builder
usuńDeviceCount (klucz ciąg)
 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.
ConfigProto.Builder
usuńSessionInterOpThreadPool (indeks int)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
setAllowSoftPlacement (wartość logiczna)
 Whether soft placement is allowed.
ConfigProto.Builder
setClusterDef ( ClusterDef.Builder builderForValue)
 Optional list of all workers to use in this session.
ConfigProto.Builder
setClusterDef (wartość ClusterDef )
 Optional list of all workers to use in this session.
ConfigProto.Builder
setDeviceFilters (indeks int, wartość ciągu)
 When any filters are present sessions will ignore all devices which do not
 match the filters.
ConfigProto.Builder
setExperimental (wartość ConfigProto.Experimental )
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Builder
setExperimental ( ConfigProto.Experimental.Builder builderForValue)
.tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.Builder
setField (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)
ConfigProto.Builder
setGpuOptions ( GPUOptions.Builder builderForValue)
 Options that apply to all GPUs.
ConfigProto.Builder
setGpuOptions (wartość GPUOptions )
 Options that apply to all GPUs.
ConfigProto.Builder
setGraphOptions ( GraphOptions.Builder builderForValue)
 Options that apply to all graphs.
ConfigProto.Builder
setGraphOptions (wartość GraphOptions )
 Options that apply to all graphs.
ConfigProto.Builder
setInterOpParallelismThreads (wartość int)
 Nodes that perform blocking operations are enqueued on a pool of
 inter_op_parallelism_threads available in each process.
ConfigProto.Builder
setIntraOpParallelismThreads (wartość 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 (wartość logiczna)
 If true, any resources such as Variables used in the session will not be
 shared with other sessions.
ConfigProto.Builder
setLogDevicePlacement (wartość logiczna)
 Whether device placements should be logged.
ConfigProto.Builder
setOperationTimeoutInMs (długa wartość)
 Global timeout for all blocking operations in this session.
ConfigProto.Builder
setPlacementPeriod (wartość 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 (pole com.google.protobuf.Descriptors.FieldDescriptor, indeks int, wartość obiektu)
ConfigProto.Builder
setRpcOptions (wartość 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 (indeks int, wartość ThreadPoolOptionProto )
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
setSessionInterOpThreadPool (indeks int, ThreadPoolOptionProto.Builder builderForValue)
 This option is experimental - it may be replaced with a different mechanism
 in the future.
ConfigProto.Builder
setShareClusterDevicesInSession (wartość logiczna)
 When true, WorkerSessions are created with device attributes from the
 full cluster.
końcowy ConfigProto.Builder
setUnknownFields (com.google.protobuf.UnknownFieldUstaw nieznane pola)
ConfigProto.Builder
setUsePerSessionThreads (wartość logiczna)
 If true, use a new set of threads for this session rather than the global
 pool of threads.

Metody dziedziczone

Metody publiczne

public ConfigProto.Builder addAllDeviceFilters (wartości 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;

public ConfigProto.Builder addAllSessionInterOpThreadPool (Iterable<? rozszerza wartości 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 addDeviceFilters (wartość ciągu)

 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 addDeviceFiltersBytes (wartość 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 (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)

public ConfigProto.Builder addSessionInterOpThreadPool (wartość 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 (indeks int, wartość 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 ( 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 addSessionInterOpThreadPool (indeks 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;

public ThreadPoolOptionProto.Builder addSessionInterOpThreadPoolBuilder (indeks 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;

publiczny 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;

publiczna kompilacja ConfigProto ()

public ConfigProto buildPartial ()

publiczny ConfigProto.Builder wyczyść ()

public 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;

public ConfigProto.Builder clearClusterDef ()

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

public ConfigProto.Builder clearDeviceCount ()

public 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;

public ConfigProto.Builder clearExperimental ()

.tensorflow.ConfigProto.Experimental experimental = 16;

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

public ConfigProto.Builder clearGpuOptions ()

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

public ConfigProto.Builder clearGraphOptions ()

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

public 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;

public 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;

public 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;

public ConfigProto.Builder clearLogDevicePlacement ()

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

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

public 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;

public 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;

public ConfigProto.Builder clearRpcOptions ()

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

public 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;

public 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;

public 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;

publiczny klon ConfigProto.Builder ()

publiczna wartość logiczna zawieraDeviceCount (klucz ciąg)

 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;

publiczna wartość logiczna 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;

publiczny ClusterDef getClusterDef ()

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

publiczny ClusterDef.Builder getClusterDefBuilder ()

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

public ClusterDefOrBuilder getClusterDefOrBuilder ()

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

public ConfigProto getDefaultInstanceForType ()

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

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

public Map<String, Integer> getDeviceCount ()

Zamiast tego użyj funkcji getDeviceCountMap() .

publiczny int getDeviceCountCount ()

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

public Map<String, Integer> getDeviceCountMap ()

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

public int getDeviceCountOrDefault (klucz ciągu, int wartość domyślna)

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

public int getDeviceCountOrThrow (klucz ciąg)

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

public String getDeviceFilters (indeks 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 (indeks int)

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

public int getDeviceFiltersCount ()

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

public com.google.protobuf.ProtocolStringList getDeviceFiltersList ()

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

public ConfigProto.Experimental getExperimental ()

.tensorflow.ConfigProto.Experimental experimental = 16;

public ConfigProto.Experimental.Builder getExperimentalBuilder ()

.tensorflow.ConfigProto.Experimental experimental = 16;

public ConfigProto.ExperimentalOrBuilder getExperimentalOrBuilder ()

.tensorflow.ConfigProto.Experimental experimental = 16;

publiczne GPUOptions getGpuOptions ()

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

public GPUOptions.Builder getGpuOptionsBuilder ()

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

publiczne GPUOptionsOrBuilder getGpuOptionsOrBuilder ()

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

public GraphOptions getGraphOptions ()

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

public GraphOptions.Builder getGraphOptionsBuilder ()

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

public GraphOptionsOrBuilder getGraphOptionsOrBuilder ()

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

public int getInterOpParallelismThreads ()

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

public int getIntraOpParallelismThreads ()

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

publiczna wartość logiczna 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;

publiczna wartość logiczna getLogDevicePlacement ()

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

public Map<String, Integer> getMutableDeviceCount ()

Zamiast tego użyj alternatywnych akcesorów mutacji.

publiczny długi 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;

public int getPlacementPeriod ()

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

publiczne RPCOptions getRpcOptions ()

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

publiczny RPCOptions.Builder getRpcOptionsBuilder ()

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

publiczne RPCOptionsOrBuilder getRpcOptionsOrBuilder ()

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

public ThreadPoolOptionProto getSessionInterOpThreadPool (indeks 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;

publiczny ThreadPoolOptionProto.Builder getSessionInterOpThreadPoolBuilder (indeks int)

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

public List< 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;

public int getSessionInterOpThreadPoolCount ()

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

lista publiczna< 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;

publiczny ThreadPoolOptionProtoOrBuilder getSessionInterOpThreadPoolOrBuilder (indeks 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;

lista publiczna<? rozszerza 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;

publiczna wartość logiczna 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;

publiczna wartość logiczna 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;

publiczna wartość logiczna hasClusterDef ()

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

publiczna wartość logiczna maExperimental ()

.tensorflow.ConfigProto.Experimental experimental = 16;

publiczna wartość logiczna hasGpuOptions ()

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

publiczna wartość logiczna hasGraphOptions ()

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

publiczna wartość logiczna hasRpcOptions ()

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

publiczna końcowa wartość logiczna isInitialized ()

public ConfigProto.Builder mergeClusterDef (wartość ClusterDef )

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

public ConfigProto.Builder mergeExperimental (wartość ConfigProto.Experimental )

.tensorflow.ConfigProto.Experimental experimental = 16;

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

public ConfigProto.Builder mergeFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Rzuca
Wyjątek IO

public ConfigProto.Builder mergeGpuOptions (wartość GPUOptions )

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

public ConfigProto.Builder mergeGraphOptions (wartość GraphOptions )

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

public ConfigProto.Builder mergeRpcOptions (wartość RPCOptions )

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

publiczna wersja końcowa ConfigProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public ConfigProto.Builder putAllDeviceCount (wartości 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 (klucz ciągu, wartość 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 usuńDeviceCount (klucz ciąg)

 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 usuńSessionInterOpThreadPool (indeks int)

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

public ConfigProto.Builder setAllowSoftPlacement (wartość logiczna)

 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;

public 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 (wartość ClusterDef )

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

public ConfigProto.Builder setDeviceFilters (indeks int, wartość ciągu)

 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 (wartość ConfigProto.Experimental )

.tensorflow.ConfigProto.Experimental experimental = 16;

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

.tensorflow.ConfigProto.Experimental experimental = 16;

public ConfigProto.Builder setField (pole com.google.protobuf.Descriptors.FieldDescriptor, wartość obiektu)

public ConfigProto.Builder setGpuOptions ( GPUOptions.Builder builderForValue)

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

public ConfigProto.Builder setGpuOptions (wartość GPUOptions )

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

public ConfigProto.Builder setGraphOptions ( GraphOptions.Builder builderForValue)

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

public ConfigProto.Builder setGraphOptions (wartość GraphOptions )

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

public ConfigProto.Builder setInterOpParallelismThreads (wartość 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;

public ConfigProto.Builder setIntraOpParallelismThreads (wartość 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;

public ConfigProto.Builder setIsolateSessionState (wartość logiczna)

 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;

public ConfigProto.Builder setLogDevicePlacement (wartość logiczna)

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

public ConfigProto.Builder setOperationTimeoutInMs (długa wartość)

 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;

public ConfigProto.Builder setPlacementPeriod (wartość 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 (pole com.google.protobuf.Descriptors.FieldDescriptor, indeks int, wartość obiektu)

public ConfigProto.Builder setRpcOptions (wartość RPCOptions )

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

public ConfigProto.Builder setRpcOptions ( RPCOptions.Builder builderForValue)

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

public ConfigProto.Builder setSessionInterOpThreadPool (indeks int, wartość 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 setSessionInterOpThreadPool (indeks 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;

public ConfigProto.Builder setShareClusterDevicesInSession (wartość logiczna)

 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;

publiczny końcowy ConfigProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public ConfigProto.Builder setUsePerSessionThreads (wartość logiczna)

 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;