ConfigProto

lớp cuối cùng công khai ConfigProto

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

Protobuf loại tensorflow.ConfigProto

Các lớp lồng nhau

lớp học	Cấu hìnhProto.Builder		Session configuration parameters.
lớp học	ConfigProto.Experimental		Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
giao diện	ConfigProto.ExperimentalOrBuilder

Hằng số

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

Phương pháp công cộng

boolean	chứaDeviceCount (Khóa chuỗi) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
boolean	bằng (Đối tượng obj)
boolean	getAllowSoftPlacement () Whether soft placement is allowed.
ClusterDef	getClusterDef () Optional list of all workers to use in this session.
ClusterDefOrBuilder	getClusterDefOrBuilder () Optional list of all workers to use in this session.
ConfigProto tĩnh	getDefaultInstance ()
Cấu hìnhProto	getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor tĩnh cuối cùng	getDescriptor ()
Bản đồ<Chuỗi, Số nguyên>	getDeviceCount () Thay vào đó hãy sử dụng getDeviceCountMap() .
int	getDeviceCountCount () Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
Bản đồ<Chuỗi, Số nguyên>	getDeviceCountMap () Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
int	getDeviceCountOrDefault (Khóa chuỗi, int defaultValue) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
int	getDeviceCountOrThrow (Khóa chuỗi) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
Sợi dây	getDeviceFilters (chỉ mục int) When any filters are present sessions will ignore all devices which do not match the filters.
com.google.protobuf.ByteString	getDeviceFiltersBytes (chỉ mục int) When any filters are present sessions will ignore all devices which do not match the filters.
int	getDeviceFiltersCount () When any filters are present sessions will ignore all devices which do not match the filters.
com.google.protobuf.ProtocolStringList	getDeviceFiltersList () When any filters are present sessions will ignore all devices which do not match the filters.
ConfigProto.Experimental	lấyThử nghiệm () .tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.ExperimentalOrBuilder	getExperimentalOrBuilder () .tensorflow.ConfigProto.Experimental experimental = 16;
Tùy chọn GPU	getGpuOptions () Options that apply to all GPUs.
GPUOptionsOrBuilder	getGpuOptionsOrBuilder () Options that apply to all GPUs.
Tùy chọn đồ thị	getGraphOptions () Options that apply to all graphs.
GraphOptionsOrBuilder	getGraphOptionsOrBuilder () Options that apply to all graphs.
int	getInterOpParallelismThreads () Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.
int	getIntraOpParallelismThreads () The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.
boolean	getIsolateSessionState () If true, any resources such as Variables used in the session will not be shared with other sessions.
boolean	getLogDevicePlacement () Whether device placements should be logged.
dài	getOperationTimeoutInMs () Global timeout for all blocking operations in this session.
	getParserForType ()
int	getPlacementPeriod () Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
Tùy chọn RPC	getRpcOptions () Options that apply when this session uses the distributed runtime.
RPCOptionsOrBuilder	getRpcOptionsOrBuilder () Options that apply when this session uses the distributed runtime.
int	getSerializedSize ()
ThreadPoolOptionProto	getSessionInterOpThreadPool (chỉ mục int) This option is experimental - it may be replaced with a different mechanism in the future.
int	getSessionInterOpThreadPoolCount () This option is experimental - it may be replaced with a different mechanism in the future.
Danh sách< ThreadPoolOptionProto >	getSessionInterOpThreadPoolList () This option is experimental - it may be replaced with a different mechanism in the future.
ThreadPoolOptionProtoOrBuilder	getSessionInterOpThreadPoolOrBuilder (chỉ mục int) This option is experimental - it may be replaced with a different mechanism in the future.
Danh sách<? mở rộng ThreadPoolOptionProtoOrBuilder >	getSessionInterOpThreadPoolOrBuilderList () This option is experimental - it may be replaced with a different mechanism in the future.
boolean	getShareClusterDevicesInSession () When true, WorkerSessions are created with device attributes from the full cluster.
cuối cùng com.google.protobuf.UnknownFieldSet	getUnknownFields ()
boolean	getUsePerSessionThreads () If true, use a new set of threads for this session rather than the global pool of threads.
boolean	hasClusterDef () Optional list of all workers to use in this session.
boolean	cóThử nghiệm () .tensorflow.ConfigProto.Experimental experimental = 16;
boolean	hasGpuOptions () Options that apply to all GPUs.
boolean	hasGraphOptions () Options that apply to all graphs.
boolean	hasRpcOptions () Options that apply when this session uses the distributed runtime.
int	mã băm ()
boolean cuối cùng	được khởi tạo ()
ConfigProto.Builder tĩnh	người xây dựng mới ()
ConfigProto.Builder tĩnh	newBuilder ( nguyên mẫu ConfigProto )
Cấu hìnhProto.Builder	newBuilderForType ()
ConfigProto tĩnh	phân tích cú phápDelimitedFrom (Đầu vào luồng đầu vào)
ConfigProto tĩnh	phân tích cú phápDelimitedFrom (Đầu vào luồng đầu vào, com.google.protobuf.ExtensionRegistryLite tiện ích mở rộngRegistry)
ConfigProto tĩnh	ParseFrom (Dữ liệu ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
ConfigProto tĩnh	ParseFrom (đầu vào com.google.protobuf.CodedInputStream)
ConfigProto tĩnh	ParseFrom (dữ liệu byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
ConfigProto tĩnh	ParseFrom (dữ liệu ByteBuffer)
ConfigProto tĩnh	ParseFrom (đầu vào com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
ConfigProto tĩnh	ParseFrom (dữ liệu com.google.protobuf.ByteString)
ConfigProto tĩnh	ParseFrom (Đầu vào inputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
ConfigProto tĩnh	ParsFrom (dữ liệu com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
tĩnh	trình phân tích cú pháp ()
Cấu hìnhProto.Builder	toBuilder ()
trống rỗng	writeTo (đầu ra com.google.protobuf.CodedOutputStream)

Phương pháp kế thừa

Từ lớp java.lang.Object

boolean	bằng (Đối tượng arg0)
Lớp cuối cùng<?>	getClass ()
int	mã băm ()
khoảng trống cuối cùng	thông báo ()
khoảng trống cuối cùng	thông báoTất cả ()
Sợi dây	toString ()
khoảng trống cuối cùng	chờ đã (arg0 dài, int arg1)
khoảng trống cuối cùng	chờ đã (arg0 dài)
khoảng trống cuối cùng	Chờ đợi ()

Từ giao diện org.tensorflow.proto.framework.ConfigProtoOrBuilder

trừu tượng boolean	chứaDeviceCount (Khóa chuỗi) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
trừu tượng boolean	getAllowSoftPlacement () Whether soft placement is allowed.
trừu tượng ClusterDef	getClusterDef () Optional list of all workers to use in this session.
trừu tượng ClusterDefOrBuilder	getClusterDefOrBuilder () Optional list of all workers to use in this session.
Bản đồ trừu tượng<Chuỗi, Số nguyên>	getDeviceCount () Thay vào đó hãy sử dụng getDeviceCountMap() .
int trừu tượng	getDeviceCountCount () Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
Bản đồ trừu tượng<Chuỗi, Số nguyên>	getDeviceCountMap () Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
int trừu tượng	getDeviceCountOrDefault (Khóa chuỗi, int defaultValue) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
int trừu tượng	getDeviceCountOrThrow (Khóa chuỗi) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
chuỗi trừu tượng	getDeviceFilters (chỉ mục int) When any filters are present sessions will ignore all devices which do not match the filters.
tóm tắt com.google.protobuf.ByteString	getDeviceFiltersBytes (chỉ mục int) When any filters are present sessions will ignore all devices which do not match the filters.
int trừu tượng	getDeviceFiltersCount () When any filters are present sessions will ignore all devices which do not match the filters.
Danh sách trừu tượng<String>	getDeviceFiltersList () When any filters are present sessions will ignore all devices which do not match the filters.
trừu tượng ConfigProto.Experimental	lấyThử nghiệm () .tensorflow.ConfigProto.Experimental experimental = 16;
trừu tượng ConfigProto.ExperimentalOrBuilder	getExperimentalOrBuilder () .tensorflow.ConfigProto.Experimental experimental = 16;
Tùy chọn GPU trừu tượng	getGpuOptions () Options that apply to all GPUs.
trừu tượng GPUOptionsOrBuilder	getGpuOptionsOrBuilder () Options that apply to all GPUs.
Tùy chọn đồ thị trừu tượng	getGraphOptions () Options that apply to all graphs.
trừu tượng GraphOptionsOrBuilder	getGraphOptionsOrBuilder () Options that apply to all graphs.
int trừu tượng	getInterOpParallelismThreads () Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.
int trừu tượng	getIntraOpParallelismThreads () The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.
trừu tượng boolean	getIsolateSessionState () If true, any resources such as Variables used in the session will not be shared with other sessions.
trừu tượng boolean	getLogDevicePlacement () Whether device placements should be logged.
trừu tượng dài	getOperationTimeoutInMs () Global timeout for all blocking operations in this session.
int trừu tượng	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).
Tùy chọn RPC trừu tượng	getRpcOptions () Options that apply when this session uses the distributed runtime.
trừu tượng RPCOptionsOrBuilder	getRpcOptionsOrBuilder () Options that apply when this session uses the distributed runtime.
trừu tượng ThreadPoolOptionProto	getSessionInterOpThreadPool (chỉ mục int) This option is experimental - it may be replaced with a different mechanism in the future.
int trừu tượng	getSessionInterOpThreadPoolCount () This option is experimental - it may be replaced with a different mechanism in the future.
Danh sách trừu tượng< ThreadPoolOptionProto >	getSessionInterOpThreadPoolList () This option is experimental - it may be replaced with a different mechanism in the future.
trừu tượng ThreadPoolOptionProtoOrBuilder	getSessionInterOpThreadPoolOrBuilder (chỉ mục int) This option is experimental - it may be replaced with a different mechanism in the future.
Danh sách trừu tượng<? mở rộng ThreadPoolOptionProtoOrBuilder >	getSessionInterOpThreadPoolOrBuilderList () This option is experimental - it may be replaced with a different mechanism in the future.
trừu tượng boolean	getShareClusterDevicesInSession () When true, WorkerSessions are created with device attributes from the full cluster.
trừu tượng boolean	getUsePerSessionThreads () If true, use a new set of threads for this session rather than the global pool of threads.
trừu tượng boolean	hasClusterDef () Optional list of all workers to use in this session.
trừu tượng boolean	cóThử nghiệm () .tensorflow.ConfigProto.Experimental experimental = 16;
trừu tượng boolean	hasGpuOptions () Options that apply to all GPUs.
trừu tượng boolean	hasGraphOptions () Options that apply to all graphs.
trừu tượng boolean	hasRpcOptions () Options that apply when this session uses the distributed runtime.

Hằng số

int tĩnh công khai ALLOW_SOFT_PLACEMENT_FIELD_NUMBER

Giá trị không đổi: 7

int tĩnh công khai CLUSTER_DEF_FIELD_NUMBER

Giá trị không đổi: 14

int tĩnh công khai DEVICE_COUNT_FIELD_NUMBER

Giá trị không đổi: 1

int tĩnh công khai DEVICE_FILTERS_FIELD_NUMBER

Giá trị không đổi: 4

int cuối cùng tĩnh công khai EXPERIMENTAL_FIELD_NUMBER

Giá trị không đổi: 16

int cuối cùng tĩnh công khai GPU_OPTIONS_FIELD_NUMBER

Giá trị không đổi: 6

int cuối cùng tĩnh công khai GRAPH_OPTIONS_FIELD_NUMBER

Giá trị không đổi: 10

int tĩnh cuối cùng INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER

Giá trị không đổi: 5

int tĩnh công khai INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER

Giá trị không đổi: 2

int tĩnh cuối cùng ISOLATE_SESSION_STATE_FIELD_NUMBER

Giá trị không đổi: 15

int cuối cùng tĩnh công khai LOG_DEVICE_PLACEMENT_FIELD_NUMBER

Giá trị không đổi: 8

int cuối cùng tĩnh công khai OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER

Giá trị không đổi: 11

int tĩnh công khai PLACEMENT_PERIOD_FIELD_NUMBER

Giá trị không đổi: 3

int cuối cùng tĩnh công khai RPC_OPTIONS_FIELD_NUMBER

Giá trị không đổi: 13

int cuối cùng tĩnh công khai SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER

Giá trị không đổi: 12

int tĩnh công khai SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER

Giá trị không đổi: 17

int tĩnh cuối cùng công khai USE_PER_SESSION_THREADS_FIELD_NUMBER

Giá trị không đổi: 9

Phương pháp công cộng

boolean công khai chứaDeviceCount (Khóa chuỗi)

 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;

boolean công khai bằng (Object obj)

boolean công khai 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;

công khai ClusterDef getClusterDef ()

 Optional list of all workers to use in this session.
 

.tensorflow.ClusterDef cluster_def = 14;

công khai ClusterDefOrBuilder getClusterDefOrBuilder ()

 Optional list of all workers to use in this session.
 

.tensorflow.ClusterDef cluster_def = 14;

ConfigProto tĩnh công khai getDefaultInstance ()

ConfigProto getDefaultInstanceForType công khai ()

công khai tĩnh cuối cùng com.google.protobuf.Descriptors.Descriptor getDescriptor ()

Bản đồ công khai<String, Integer> getDeviceCount ()

Thay vào đó hãy sử dụng getDeviceCountMap() .

int công khai 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;

Bản đồ công khai<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 (Khóa chuỗi, int defaultValue)

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

map<string, int32> device_count = 1;

public int getDeviceCountOrThrow (Khóa chuỗi)

 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;

Chuỗi công khai getDeviceFilters (chỉ mục 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;

com.google.protobuf.ByteString getDeviceFiltersBytes công khai (chỉ mục 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;

int công khai 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;

com.google.protobuf.ProtocolStringList công khai 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;

công khai ConfigProto.Experimental getExperimental ()

.tensorflow.ConfigProto.Experimental experimental = 16;

ConfigProto.ExperimentalOrBuilder công khai getExperimentalOrBuilder ()

.tensorflow.ConfigProto.Experimental experimental = 16;

GPUOptions công khai getGpuOptions ()

 Options that apply to all GPUs.
 

.tensorflow.GPUOptions gpu_options = 6;

GPUOptionsOrBuilder công khai getGpuOptionsOrBuilder ()

 Options that apply to all GPUs.
 

.tensorflow.GPUOptions gpu_options = 6;

GraphOptions công khai getGraphOptions ()

 Options that apply to all graphs.
 

.tensorflow.GraphOptions graph_options = 10;

GraphOptionsOrBuilder công khai 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;

boolean công khai 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;

boolean công khai getLogDevicePlacement ()

 Whether device placements should be logged.
 

bool log_device_placement = 8;

công khai long 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;

công cộng getParserForType ()

int công khai 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 công khai getRpcOptions ()

 Options that apply when this session uses the distributed runtime.
 

.tensorflow.RPCOptions rpc_options = 13;

RPCOptionsOrBuilder công khai getRpcOptionsOrBuilder ()

 Options that apply when this session uses the distributed runtime.
 

.tensorflow.RPCOptions rpc_options = 13;

int công khai getSerializedSize ()

public ThreadPoolOptionProto getSessionInterOpThreadPool (chỉ mục 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;

int công khai 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;

Danh sách công khai< 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;

công khai ThreadPoolOptionProtoOrBuilder getSessionInterOpThreadPoolOrBuilder (chỉ mục 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;

Danh sách công khai<? mở rộng 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;

boolean công khai 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;

trận chung kết công khai com.google.protobuf.UnknownFieldSet getUnknownFields ()

boolean công khai 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;

boolean công khai hasClusterDef ()

 Optional list of all workers to use in this session.
 

.tensorflow.ClusterDef cluster_def = 14;

boolean công khai hasExperimental ()

.tensorflow.ConfigProto.Experimental experimental = 16;

boolean công khai hasGpuOptions ()

 Options that apply to all GPUs.
 

.tensorflow.GPUOptions gpu_options = 6;

boolean công khai hasGraphOptions ()

 Options that apply to all graphs.
 

.tensorflow.GraphOptions graph_options = 10;

boolean công khai hasRpcOptions ()

 Options that apply when this session uses the distributed runtime.
 

.tensorflow.RPCOptions rpc_options = 13;

mã băm int công khai ()

boolean cuối cùng công khai được khởi tạo ()

ConfigProto.Builder tĩnh công khai newBuilder ()

public static ConfigProto.Builder newBuilder (nguyên mẫu ConfigProto )

công khai ConfigProto.Builder newBuilderForType ()

ConfigProto phân tích cú pháp tĩnh công khaiDelimitedFrom (Đầu vào luồng đầu vào)

Ném

IOException

ConfigProto phân tích cú pháp tĩnh công khaiDelimitedFrom (Đầu vào InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném

IOException

ConfigProto phân tích cú pháp tĩnh công khaiTừ (Dữ liệu ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném

Giao thức đệm ngoại lệ không hợp lệ

phân tích cú pháp ConfigProto tĩnh công khai (đầu vào com.google.protobuf.CodedInputStream)

Ném

IOException

ConfigProto phân tích cú pháp tĩnh công khaiTừ (dữ liệu byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném

Giao thức đệm ngoại lệ không hợp lệ

phân tích cú pháp ConfigProto tĩnh công khai (dữ liệu ByteBuffer)

Ném

Giao thức đệm ngoại lệ không hợp lệ

ConfigProto phân tích cú pháp tĩnh công khaiTừ (đầu vào com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném

IOException

phân tích cú pháp ConfigProto tĩnh công khai (dữ liệu com.google.protobuf.ByteString)

Ném

Giao thức đệm ngoại lệ không hợp lệ

ConfigProto phân tích cú pháp tĩnh công khaiTừ (đầu vàoInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném

IOException

ConfigProto phân tích cú pháp tĩnh công khaiTừ (dữ liệu com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném

Giao thức đệm ngoại lệ không hợp lệ

công cộng tĩnh trình phân tích cú pháp ()

công khai ConfigProto.Builder toBuilder ()

public void writeTo (đầu ra com.google.protobuf.CodedOutputStream)

Ném

IOException