CallableOptions.Builder

публичный статический конечный класс CallableOptions.Builder

 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

Публичные методы

CallableOptions.Builder	addAllFeed (значения Iterable<String>) Tensors to be fed in the callable.
CallableOptions.Builder	addAllFetch (значения Iterable<String>) Fetches.
CallableOptions.Builder	addAllTarget (значения Iterable<String>) Target Nodes.
CallableOptions.Builder	addAllTensorConnection (Iterable<? расширяет значения TensorConnection >) Tensors to be connected in the callable.
CallableOptions.Builder	addFeed (строковое значение) Tensors to be fed in the callable.
CallableOptions.Builder	addFeedBytes (значение com.google.protobuf.ByteString) Tensors to be fed in the callable.
CallableOptions.Builder	addFetch (строковое значение) Fetches.
CallableOptions.Builder	addFetchBytes (значение com.google.protobuf.ByteString) Fetches.
CallableOptions.Builder	addRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)
CallableOptions.Builder	addTarget (строковое значение) Target Nodes.
CallableOptions.Builder	addTargetBytes (значение com.google.protobuf.ByteString) Target Nodes.
CallableOptions.Builder	addTensorConnection (индекс int, значение TensorConnection ) Tensors to be connected in the callable.
CallableOptions.Builder	addTensorConnection (индекс int, TensorConnection.Builder builderForValue) Tensors to be connected in the callable.
CallableOptions.Builder	addTensorConnection (значение TensorConnection ) Tensors to be connected in the callable.
CallableOptions.Builder	addTensorConnection ( TensorConnection.Builder builderForValue) Tensors to be connected in the callable.
TensorConnection.Builder	добавитьTensorConnectionBuilder () Tensors to be connected in the callable.
TensorConnection.Builder	addTensorConnectionBuilder (индекс int) Tensors to be connected in the callable.
CallableOptions	строить ()
CallableOptions	построитьчастичный ()
CallableOptions.Builder	прозрачный ()
CallableOptions.Builder	очиститьфид () Tensors to be fed in the callable.
CallableOptions.Builder	очиститьфиддевицес ()
CallableOptions.Builder	очистить выборку () Fetches.
CallableOptions.Builder	очиститьFetchDevices ()
CallableOptions.Builder	очиститьFetchSkipSync () 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.
CallableOptions.Builder	ClearField (поле com.google.protobuf.Descriptors.FieldDescriptor)
CallableOptions.Builder	ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
CallableOptions.Builder	ClearRunOptions () Options that will be applied to each run.
CallableOptions.Builder	ОчиститьТаржет () Target Nodes.
CallableOptions.Builder	ОчиститьТензорСоединение () Tensors to be connected in the callable.
CallableOptions.Builder	клон ()
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;
CallableOptions	getDefaultInstanceForType ()
окончательный статический com.google.protobuf.Descriptors.Descriptor	получитьдескриптор ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
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.
Карта<Строка, Строка>	getMutableFeedDevices () Вместо этого используйте альтернативные методы доступа к мутациям.
Карта<Строка, Строка>	getMutableFetchDevices () Вместо этого используйте альтернативные методы доступа к мутациям.
Параметры запуска	getRunOptions () Options that will be applied to each run.
RunOptions.Builder	getRunOptionsBuilder () Options that will be applied to each run.
RunOptionsOrBuilder	getRunOptionsOrBuilder () Options that will be applied to each run.
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.
TensorConnection.Builder	getTensorConnectionBuilder (индекс int) Tensors to be connected in the callable.
Список< TensorConnection.Builder >	getTensorConnectionBuilderList () 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.
логическое значение	имеетRunOptions () Options that will be applied to each run.
последнее логическое значение	isInitialized ()
CallableOptions.Builder	mergeFrom (com.google.protobuf.Message другое)
CallableOptions.Builder	mergeFrom (ввод com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
CallableOptions.Builder	mergeRunOptions (значение RunOptions ) Options that will be applied to each run.
окончательный CallableOptions.Builder	mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
CallableOptions.Builder	putAllFeedDevices (значения Map<String, String>) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
CallableOptions.Builder	putAllFetchDevices (значения Map<String, String>) map<string, string> fetch_devices = 7;
CallableOptions.Builder	putFeedDevices (строковый ключ, строковое значение) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
CallableOptions.Builder	putFetchDevices (строковый ключ, строковое значение) map<string, string> fetch_devices = 7;
CallableOptions.Builder	RemoveFeedDevices (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.
CallableOptions.Builder	RemoveFetchDevices (строковый ключ) map<string, string> fetch_devices = 7;
CallableOptions.Builder	удалитьTensorConnection (индекс int) Tensors to be connected in the callable.
CallableOptions.Builder	setFeed (индекс int, строковое значение) Tensors to be fed in the callable.
CallableOptions.Builder	setFetch (целочисленный индекс, строковое значение) Fetches.
CallableOptions.Builder	setFetchSkipSync (логическое значение) 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.
CallableOptions.Builder	setField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)
CallableOptions.Builder	setRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, индекс int, значение объекта)
CallableOptions.Builder	setRunOptions ( RunOptions.Builder builderForValue) Options that will be applied to each run.
CallableOptions.Builder	setRunOptions (значение RunOptions ) Options that will be applied to each run.
CallableOptions.Builder	setTarget (индекс int, строковое значение) Target Nodes.
CallableOptions.Builder	setTensorConnection (индекс int, значение TensorConnection ) Tensors to be connected in the callable.
CallableOptions.Builder	setTensorConnection (индекс int, TensorConnection.Builder builderForValue) Tensors to be connected in the callable.
окончательный CallableOptions.Builder	setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

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.

Публичные методы

public CallableOptions.Builder addAllFeed (значения Iterable<String>)

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

repeated string feed = 1;

public CallableOptions.Builder addAllFetch (значения Iterable<String>)

 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 CallableOptions.Builder addAllTarget (значения Iterable<String>)

 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 CallableOptions.Builder addAllTensorConnection (Iterable<? расширяет значения TensorConnection >)

 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 CallableOptions.Builder addFeed (строковое значение)

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

repeated string feed = 1;

public CallableOptions.Builder addFeedBytes (значение com.google.protobuf.ByteString)

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

repeated string feed = 1;

public CallableOptions.Builder addFetch (строковое значение)

 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 CallableOptions.Builder addFetchBytes (значение com.google.protobuf.ByteString)

 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 CallableOptions.Builder addRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)

public CallableOptions.Builder addTarget (строковое значение)

 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 CallableOptions.Builder addTargetBytes (значение com.google.protobuf.ByteString)

 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 CallableOptions.Builder addTensorConnection (индекс int, значение TensorConnection )

 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 CallableOptions.Builder addTensorConnection (индекс int, TensorConnection.Builder builderForValue)

 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 CallableOptions.Builder addTensorConnection (значение TensorConnection )

 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 CallableOptions.Builder addTensorConnection ( TensorConnection.Builder builderForValue)

 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 TensorConnection.Builder addTensorConnectionBuilder ()

 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 TensorConnection.Builder addTensorConnectionBuilder (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;

общедоступная сборка CallableOptions ()

общедоступный CallableOptions buildPartial ()

общедоступный CallableOptions.Builder очистить ()

общедоступный CallableOptions.Builder ClearFeed ()

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

repeated string feed = 1;

общедоступный CallableOptions.Builder ClearFeedDevices ()

общедоступный CallableOptions.Builder ClearFetch ()

 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;

общедоступный CallableOptions.Builder ClearFetchDevices ()

общедоступный CallableOptions.Builder ClearFetchSkipSync ()

 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;

public CallableOptions.Builder ClearField (поле com.google.protobuf.Descriptors.FieldDescriptor)

public CallableOptions.Builder ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

общедоступный CallableOptions.Builder ClearRunOptions ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

общедоступный CallableOptions.Builder ClearTarget ()

 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 CallableOptions.Builder ClearTensorConnection ()

 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 клон CallableOptions.Builder ()

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;

public CallableOptions getDefaultInstanceForType ()

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

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

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;

public Map<String, String> getMutableFeedDevices ()

Вместо этого используйте альтернативные методы доступа к мутациям.

общедоступная Map<String, String> getMutableFetchDevices ()

Вместо этого используйте альтернативные методы доступа к мутациям.

общедоступные RunOptions getRunOptions ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

общедоступный RunOptions.Builder getRunOptionsBuilder ()

 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;

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 TensorConnection.Builder getTensorConnectionBuilder (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 < TensorConnection.Builder > getTensorConnectionBuilderList ()

 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;

общедоступное логическое значение hasRunOptions ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

публичное финальное логическое значение isInitialized ()

public CallableOptions.Builder mergeFrom (com.google.protobuf.Message другое)

public CallableOptions.Builder mergeFrom (вход com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Броски

Исключение IO

public CallableOptions.Builder mergeRunOptions (значение RunOptions )

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

общедоступный финал CallableOptions.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

public CallableOptions.Builder putAllFeedDevices (значения Map<String, String>)

 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;

public CallableOptions.Builder putAllFetchDevices (значения Map<String, String>)

map<string, string> fetch_devices = 7;

public CallableOptions.Builder putFeedDevices (строковый ключ, строковое значение)

 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;

public CallableOptions.Builder putFetchDevices (строковый ключ, строковое значение)

map<string, string> fetch_devices = 7;

public CallableOptions.Builder RemoveFeedDevices (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;

public CallableOptions.Builder RemoveFetchDevices (строковый ключ)

map<string, string> fetch_devices = 7;

public CallableOptions.Builder removeTensorConnection (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 CallableOptions.Builder setFeed (индекс int, строковое значение)

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

repeated string feed = 1;

public CallableOptions.Builder setFetch (индекс int, строковое значение)

 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 CallableOptions.Builder setFetchSkipSync (логическое значение)

 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;

public CallableOptions.Builder setField (поле com.google.protobuf.Descriptors.FieldDescriptor, значение объекта)

public CallableOptions.Builder setRepeatedField (поле com.google.protobuf.Descriptors.FieldDescriptor, индекс int, значение объекта)

public CallableOptions.Builder setRunOptions ( RunOptions.Builder builderForValue)

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

public CallableOptions.Builder setRunOptions (значение RunOptions )

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

public CallableOptions.Builder setTarget (индекс int, строковое значение)

 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 CallableOptions.Builder setTensorConnection (индекс int, значение TensorConnection )

 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 CallableOptions.Builder setTensorConnection (индекс int, TensorConnection.Builder builderForValue)

 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 финальный CallableOptions.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)