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CallableOptions

публичный финальный класс CallableOptions

 Defines a subgraph in another `GraphDef` as a set of feed points and nodes
 to be fetched or executed.
 Compare with the arguments to `Session::Run()`.

Тип Protobuf tensorflow.CallableOptions

Вложенные классы

сорт

CallableOptions.Builder

 Defines a subgraph in another `GraphDef` as a set of feed points and nodes
 to be fetched or executed.

Константы

интервал	FEED_DEVICES_FIELD_NUMBER
интервал	FEED_FIELD_NUMBER
интервал	FETCH_DEVICES_FIELD_NUMBER
интервал	FETCH_FIELD_NUMBER
интервал	FETCH_SKIP_SYNC_FIELD_NUMBER
интервал	RUN_OPTIONS_FIELD_NUMBER
интервал	TARGET_FIELD_NUMBER
интервал	TENSOR_CONNECTION_FIELD_NUMBER

Публичные методы

логическое значение	содержитFeedDevices (строковый ключ) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
логическое значение	содержитFetchDevices (строковый ключ) `map<string, string> fetch_devices = 7;`
логическое значение	равно (Объект obj)
статические CallableOptions	getDefaultInstance ()
CallableOptions	getDefaultInstanceForType ()
окончательный статический com.google.protobuf.Descriptors.Descriptor	получитьдескриптор ()
Нить	getFeed (целевой индекс) Tensors to be fed in the callable.
com.google.protobuf.ByteString	getFeedBytes (целевой индекс) Tensors to be fed in the callable.
интервал	getFeedCount () Tensors to be fed in the callable.
Карта<Строка, Строка>	getFeedDevices () Вместо этого используйте `getFeedDevicesMap()` .
интервал	getFeedDevicesCount () The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
Карта<Строка, Строка>	getFeedDevicesMap () The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
Нить	getFeedDevicesOrDefault (строковый ключ, строковое значение по умолчанию) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
Нить	getFeedDevicesOrThrow (строковый ключ) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
com.google.protobuf.ProtocolStringList	получитьфидлист () Tensors to be fed in the callable.
Нить	getFetch (целочисленный индекс) Fetches.
com.google.protobuf.ByteString	getFetchBytes (целочисленный индекс) Fetches.
интервал	getFetchCount () Fetches.
Карта<Строка, Строка>	getFetchDevices () Вместо этого используйте `getFetchDevicesMap()` .
интервал	getFetchDevicesCount () `map<string, string> fetch_devices = 7;`
Карта<Строка, Строка>	getFetchDevicesMap () `map<string, string> fetch_devices = 7;`
Нить	getFetchDevicesOrDefault (строковый ключ, строковое значение по умолчанию) `map<string, string> fetch_devices = 7;`
Нить	getFetchDevicesOrThrow (строковый ключ) `map<string, string> fetch_devices = 7;`
com.google.protobuf.ProtocolStringList	getFetchList () Fetches.
логическое значение	getFetchSkipSync () By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
	getParserForType ()
Параметры запуска	getRunOptions () Options that will be applied to each run.
RunOptionsOrBuilder	getRunOptionsOrBuilder () Options that will be applied to each run.
интервал	getSerializedSize ()
Нить	getTarget (целевой индекс) Target Nodes.
com.google.protobuf.ByteString	getTargetBytes (индекс целого числа) Target Nodes.
интервал	getTargetCount () Target Nodes.
com.google.protobuf.ProtocolStringList	getTargetList () Target Nodes.
Тензорное соединение	getTensorConnection (индекс целого числа) Tensors to be connected in the callable.
интервал	getTensorConnectionCount () Tensors to be connected in the callable.
Список <TensorConnection>	getTensorConnectionList () Tensors to be connected in the callable.
TensorConnectionOrBuilder	getTensorConnectionOrBuilder (индекс int) Tensors to be connected in the callable.
Список<? расширяет TensorConnectionOrBuilder >	getTensorConnectionOrBuilderList () Tensors to be connected in the callable.
окончательный com.google.protobuf.UnknownFieldSet	getUnknownFields ()
логическое значение	имеетRunOptions () Options that will be applied to each run.
интервал	хэш-код ()
последнее логическое значение	isInitialized ()
статический CallableOptions.Builder	новыйстроитель ()
статический CallableOptions.Builder	newBuilder (прототип CallableOptions )
CallableOptions.Builder	новыйБилдерФорТип ()
статические CallableOptions	parseDelimitedFrom (входной поток)
статические CallableOptions	parseDelimitedFrom (ввод InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статические CallableOptions	parseFrom (данные ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статические CallableOptions	parseFrom (вход com.google.protobuf.CodedInputStream)
статические CallableOptions	parseFrom (данные byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статические CallableOptions	parseFrom (данные ByteBuffer)
статические CallableOptions	parseFrom (ввод com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статические CallableOptions	parseFrom (данные com.google.protobuf.ByteString)
статические CallableOptions	parseFrom (ввод входного потока, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статические CallableOptions	parseFrom (данные com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
статический	парсер ()
CallableOptions.Builder	toBuilder ()
пустота	writeTo (вывод com.google.protobuf.CodedOutputStream)

Унаследованные методы

Из класса java.lang.Object

логическое значение	равно (Объект arg0)
последний класс<?>	получитьКласс ()
интервал	хэш-код ()
окончательная пустота	поставить в известность ()
окончательная пустота	уведомитьВсе ()
Нить	нанизывать ()
окончательная пустота	подождать (длинный arg0, int arg1)
окончательная пустота	подождите (длинный arg0)
окончательная пустота	ждать ()

Из интерфейса org.tensorflow.proto.framework.CallableOptionsOrBuilder

абстрактное логическое значение	содержитFeedDevices (строковый ключ) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
абстрактное логическое значение	содержитFetchDevices (строковый ключ) `map<string, string> fetch_devices = 7;`
абстрактная строка	getFeed (целевой индекс) Tensors to be fed in the callable.
абстрактный com.google.protobuf.ByteString	getFeedBytes (целевой индекс) Tensors to be fed in the callable.
абстрактный int	getFeedCount () Tensors to be fed in the callable.
абстрактная карта<String, String>	getFeedDevices () Вместо этого используйте `getFeedDevicesMap()` .
абстрактный int	getFeedDevicesCount () The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
абстрактная карта<String, String>	getFeedDevicesMap () The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
абстрактная строка	getFeedDevicesOrDefault (строковый ключ, строковое значение по умолчанию) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
абстрактная строка	getFeedDevicesOrThrow (строковый ключ) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
абстрактный список<String>	получитьфидлист () Tensors to be fed in the callable.
абстрактная строка	getFetch (целочисленный индекс) Fetches.
абстрактный com.google.protobuf.ByteString	getFetchBytes (целочисленный индекс) Fetches.
абстрактный int	getFetchCount () Fetches.
абстрактная карта<String, String>	getFetchDevices () Вместо этого используйте `getFetchDevicesMap()` .
абстрактный int	getFetchDevicesCount () `map<string, string> fetch_devices = 7;`
абстрактная карта<String, String>	getFetchDevicesMap () `map<string, string> fetch_devices = 7;`
абстрактная строка	getFetchDevicesOrDefault (строковый ключ, строковое значение по умолчанию) `map<string, string> fetch_devices = 7;`
абстрактная строка	getFetchDevicesOrThrow (строковый ключ) `map<string, string> fetch_devices = 7;`
абстрактный список<String>	getFetchList () Fetches.
абстрактное логическое значение	getFetchSkipSync () By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
абстрактные параметры запуска	getRunOptions () Options that will be applied to each run.
абстрактный RunOptionsOrBuilder	getRunOptionsOrBuilder () Options that will be applied to each run.
абстрактная строка	getTarget (целевой индекс) Target Nodes.
абстрактный com.google.protobuf.ByteString	getTargetBytes (индекс целого числа) Target Nodes.
абстрактный int	getTargetCount () Target Nodes.
абстрактный список<String>	getTargetList () Target Nodes.
абстрактное TensorConnection	getTensorConnection (индекс целого числа) Tensors to be connected in the callable.
абстрактный int	getTensorConnectionCount () Tensors to be connected in the callable.
абстрактный список <TensorConnection>	getTensorConnectionList () Tensors to be connected in the callable.
абстрактный TensorConnectionOrBuilder	getTensorConnectionOrBuilder (индекс int) Tensors to be connected in the callable.
абстрактный список<? расширяет TensorConnectionOrBuilder >	getTensorConnectionOrBuilderList () Tensors to be connected in the callable.
абстрактное логическое значение	имеетRunOptions () Options that will be applied to each run.

Константы

общедоступный статический финал int FEED_DEVICES_FIELD_NUMBER

Постоянное значение: 6

общедоступный статический финал int FEED_FIELD_NUMBER

Постоянное значение: 1

общедоступный статический окончательный int FETCH_DEVICES_FIELD_NUMBER

Постоянное значение: 7

общедоступный статический окончательный int FETCH_FIELD_NUMBER

Постоянное значение: 2

общедоступный статический окончательный int FETCH_SKIP_SYNC_FIELD_NUMBER

Постоянное значение: 8

общедоступный статический окончательный int RUN_OPTIONS_FIELD_NUMBER

Постоянное значение: 4

общедоступный статический окончательный int TARGET_FIELD_NUMBER

Постоянное значение: 3

общедоступный статический окончательный int TENSOR_CONNECTION_FIELD_NUMBER

Постоянное значение: 5

Публичные методы

общедоступное логическое значение containsFeedDevices (строковый ключ)

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).

map<string, string> feed_devices = 6;

общедоступное логическое значение containsFetchDevices (строковый ключ)

map<string, string> fetch_devices = 7;

общедоступное логическое значение равно (Object obj)

общедоступный статический CallableOptions getDefaultInstance ()

public CallableOptions getDefaultInstanceForType ()

общедоступный статический окончательный com.google.protobuf.Descriptors.Descriptor getDescriptor ()

общедоступная строка getFeed (индекс int)

 Tensors to be fed in the callable. Each feed is the name of a tensor.

repeated string feed = 1;

public com.google.protobuf.ByteString getFeedBytes (индекс int)

 Tensors to be fed in the callable. Each feed is the name of a tensor.

repeated string feed = 1;

public int getFeedCount ()

 Tensors to be fed in the callable. Each feed is the name of a tensor.

repeated string feed = 1;

общедоступная карта<String, String> getFeedDevices ()

Вместо этого используйте getFeedDevicesMap() .

public int getFeedDevicesCount ()

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).

map<string, string> feed_devices = 6;

общедоступная карта<String, String> getFeedDevicesMap ()

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).

map<string, string> feed_devices = 6;

общедоступная строка getFeedDevicesOrDefault (строковый ключ, строковое значение по умолчанию)

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).

map<string, string> feed_devices = 6;

общедоступная строка getFeedDevicesOrThrow (строковый ключ)

 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
 The options below allow changing that - feeding tensors backed by
 device memory, or returning tensors that are backed by device memory.
 The maps below map the name of a feed/fetch tensor (which appears in
 'feed' or 'fetch' fields above), to the fully qualified name of the device
 owning the memory backing the contents of the tensor.
 For example, creating a callable with the following options:
 CallableOptions {
   feed: "a:0"
   feed: "b:0"
   fetch: "x:0"
   fetch: "y:0"
   feed_devices: {
     "a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
   }
   fetch_devices: {
     "y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
  }
 }
 means that the Callable expects:
 - The first argument ("a:0") is a Tensor backed by GPU memory.
 - The second argument ("b:0") is a Tensor backed by host memory.
 and of its return values:
 - The first output ("x:0") will be backed by host memory.
 - The second output ("y:0") will be backed by GPU memory.
 FEEDS:
 It is the responsibility of the caller to ensure that the memory of the fed
 tensors will be correctly initialized and synchronized before it is
 accessed by operations executed during the call to Session::RunCallable().
 This is typically ensured by using the TensorFlow memory allocators
 (Device::GetAllocator()) to create the Tensor to be fed.
 Alternatively, for CUDA-enabled GPU devices, this typically means that the
 operation that produced the contents of the tensor has completed, i.e., the
 CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
 cuStreamSynchronize()).

map<string, string> feed_devices = 6;

общедоступный com.google.protobuf.ProtocolStringList getFeedList ()

 Tensors to be fed in the callable. Each feed is the name of a tensor.

repeated string feed = 1;

общедоступная строка getFetch (индекс int)

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.

repeated string fetch = 2;

public com.google.protobuf.ByteString getFetchBytes (индекс int)

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.

repeated string fetch = 2;

public int getFetchCount ()

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.

repeated string fetch = 2;

общедоступная карта<String, String> getFetchDevices ()

Вместо этого используйте getFetchDevicesMap() .

public int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

общедоступная карта<String, String> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

общедоступная строка getFetchDevicesOrDefault (строковый ключ, строковое значение по умолчанию)

map<string, string> fetch_devices = 7;

общедоступная строка getFetchDevicesOrThrow (строковый ключ)

map<string, string> fetch_devices = 7;

общедоступный com.google.protobuf.ProtocolStringList getFetchList ()

 Fetches. A list of tensor names. The caller of the callable expects a
 tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
 order of specified fetches does not change the execution order.

repeated string fetch = 2;

общедоступное логическое значение getFetchSkipSync ()

 By default, RunCallable() will synchronize the GPU stream before returning
 fetched tensors on a GPU device, to ensure that the values in those tensors
 have been produced. This simplifies interacting with the tensors, but
 potentially incurs a performance hit.
 If this options is set to true, the caller is responsible for ensuring
 that the values in the fetched tensors have been produced before they are
 used. The caller can do this by invoking `Device::Sync()` on the underlying
 device(s), or by feeding the tensors back to the same Session using
 `feed_devices` with the same corresponding device name.

bool fetch_skip_sync = 8;

общественный getParserForType ()

общедоступные RunOptions getRunOptions ()

 Options that will be applied to each run.

.tensorflow.RunOptions run_options = 4;

общедоступный RunOptionsOrBuilder getRunOptionsOrBuilder ()

 Options that will be applied to each run.

.tensorflow.RunOptions run_options = 4;

public int getSerializedSize ()

публичная строка getTarget (индекс int)

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.

repeated string target = 3;

public com.google.protobuf.ByteString getTargetBytes (индекс int)

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.

repeated string target = 3;

public int getTargetCount ()

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.

repeated string target = 3;

общедоступный com.google.protobuf.ProtocolStringList getTargetList ()

 Target Nodes. A list of node names. The named nodes will be run by the
 callable but their outputs will not be returned.

repeated string target = 3;

public TensorConnection getTensorConnection (индекс int)

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.

repeated .tensorflow.TensorConnection tensor_connection = 5;

public int getTensorConnectionCount ()

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.

repeated .tensorflow.TensorConnection tensor_connection = 5;

общедоступный список < TensorConnection > getTensorConnectionList ()

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.

repeated .tensorflow.TensorConnection tensor_connection = 5;

public TensorConnectionOrBuilder getTensorConnectionOrBuilder (индекс int)

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.

repeated .tensorflow.TensorConnection tensor_connection = 5;

общедоступный список<? расширяет TensorConnectionOrBuilder > getTensorConnectionOrBuilderList ()

 Tensors to be connected in the callable. Each TensorConnection denotes
 a pair of tensors in the graph, between which an edge will be created
 in the callable.

repeated .tensorflow.TensorConnection tensor_connection = 5;

публичный финал com.google.protobuf.UnknownFieldSet getUnknownFields ()

общедоступное логическое значение hasRunOptions ()

 Options that will be applied to each run.

.tensorflow.RunOptions run_options = 4;

public int hashCode ()

публичное финальное логическое значение isInitialized ()

общедоступный статический CallableOptions.Builder newBuilder ()

общедоступный статический CallableOptions.Builder newBuilder (прототип CallableOptions )

общедоступный CallableOptions.Builder newBuilderForType ()

общедоступный статический CallableOptions parseDelimitedFrom (входной поток InputStream)

Броски

Исключение IO

общедоступный статический CallableOptions parseDelimitedFrom (ввод InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Броски

Исключение IO

public static CallableOptions parseFrom (данные ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Броски

Инвалидпротоколбуфферисключение

общедоступный статический CallableOptions parseFrom (вход com.google.protobuf.CodedInputStream)

Броски

Исключение IO

общедоступный статический CallableOptions parseFrom (данные byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Броски

Инвалидпротоколбуфферисключение

общедоступный статический CallableOptions parseFrom (данные ByteBuffer)

Броски

Инвалидпротоколбуфферисключение

public static CallableOptions parseFrom (вход com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Броски

Исключение IO

общедоступный статический CallableOptions parseFrom (данные com.google.protobuf.ByteString)

Броски

Инвалидпротоколбуфферисключение

общедоступный статический CallableOptions parseFrom (ввод InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Броски

Исключение IO

общедоступный статический CallableOptions parseFrom (данные com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Броски

Инвалидпротоколбуфферисключение

общественный статический парсер ()

общедоступный CallableOptions.Builder toBuilder ()

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

Броски

Исключение IO