CallableOptions

classe final pública 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()`.
Tipo de protobuf tensorflow.CallableOptions

Classes aninhadas

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

Constantes

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

Métodos Públicos

booleano
contémFeedDevices (chave de string) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
booleano
contémFetchDevices (chave de string)
map<string, string> fetch_devices = 7;
booleano
é igual (objeto obj)
CallableOptions estáticas
getDefaultInstance ()
Opções que podem ser chamadas
getDefaultInstanceForType ()
final estático com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
Corda
getFeed (índice interno) 
 Tensors to be fed in the callable.
com.google.protobuf.ByteString
getFeedBytes (índice interno) 
 Tensors to be fed in the callable.
interno
getFeedCount () 
 Tensors to be fed in the callable.
Mapa<String, String>
getFeedDevices ()
Use getFeedDevicesMap() em vez disso.
interno
getFeedDevicesCount () 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
Mapa<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.
Corda
getFeedDevicesOrDefault (chave de string, string defaultValue) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
Corda
getFeedDevicesOrThrow (chave de string) 
 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
getFeedList () 
 Tensors to be fed in the callable.
Corda
getFetch (índice interno) 
 Fetches.
com.google.protobuf.ByteString
getFetchBytes (índice interno) 
 Fetches.
interno
getFetchCount () 
 Fetches.
Mapa<String, String>
getFetchDevices ()
Use getFetchDevicesMap() em vez disso.
interno
getFetchDevicesCount ()
map<string, string> fetch_devices = 7;
Mapa<String, String>
getFetchDevicesMap ()
map<string, string> fetch_devices = 7;
Corda
getFetchDevicesOrDefault (chave de string, string defaultValue)
map<string, string> fetch_devices = 7;
Corda
getFetchDevicesOrThrow (chave de string)
map<string, string> fetch_devices = 7;
com.google.protobuf.ProtocolStringList
getFetchList () 
 Fetches.
booleano
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 ()
Opções de execução
getRunOptions () 
 Options that will be applied to each run.
RunOptionsOrBuilder
getRunOptionsOrBuilder () 
 Options that will be applied to each run.
interno
getSerializedSize ()
Corda
getTarget (índice interno) 
 Target Nodes.
com.google.protobuf.ByteString
getTargetBytes (índice interno) 
 Target Nodes.
interno
getTargetCount () 
 Target Nodes.
com.google.protobuf.ProtocolStringList
getTargetList () 
 Target Nodes.
Conexão Tensor
getTensorConnection (índice interno) 
 Tensors to be connected in the callable.
interno
getTensorConnectionCount () 
 Tensors to be connected in the callable.
Lista <TensorConnection>
getTensorConnectionList () 
 Tensors to be connected in the callable.
TensorConnectionOrBuilder
getTensorConnectionOrBuilder (índice interno) 
 Tensors to be connected in the callable.
Lista<? estende TensorConnectionOrBuilder >
getTensorConnectionOrBuilderList () 
 Tensors to be connected in the callable.
final com.google.protobuf.UnknownFieldSet
getUnknownFields ()
booleano
hasRunOptions () 
 Options that will be applied to each run.
interno
código hash ()
booleano final
éinicializado ()
CallableOptions.Builder estático
novoConstrutor ()
CallableOptions.Builder estático
newBuilder (protótipo CallableOptions )
CallableOptions.Builder
novoBuilderForType ()
CallableOptions estáticas
parseDelimitedFrom (entrada InputStream)
CallableOptions estáticas
parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions estáticas
parseFrom (dados de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions estáticas
parseFrom (entrada com.google.protobuf.CodedInputStream)
CallableOptions estáticas
parseFrom (byte[] dados, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions estáticas
parseFrom (dados de ByteBuffer)
CallableOptions estáticas
parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions estáticas
parseFrom (dados com.google.protobuf.ByteString)
CallableOptions estáticas
parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions estáticas
parseFrom (dados com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
estático
analisador ()
CallableOptions.Builder
paraConstrutor ()
vazio
writeTo (saída com.google.protobuf.CodedOutputStream)

Métodos herdados

Constantes

público estático final int FEED_DEVICES_FIELD_NUMBER

Valor Constante: 6

público estático final int FEED_FIELD_NUMBER

Valor Constante: 1

público estático final int FETCH_DEVICES_FIELD_NUMBER

Valor Constante: 7

público estático final int FETCH_FIELD_NUMBER

Valor Constante: 2

público estático final int FETCH_SKIP_SYNC_FIELD_NUMBER

Valor Constante: 8

público estático final int RUN_OPTIONS_FIELD_NUMBER

Valor Constante: 4

int final estático público TARGET_FIELD_NUMBER

Valor Constante: 3

público estático final int TENSOR_CONNECTION_FIELD_NUMBER

Valor Constante: 5

Métodos Públicos

booleano público contémFeedDevices (chave 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;

booleano público contémFetchDevices (chave String)

map<string, string> fetch_devices = 7;

booleano público é igual (Object obj)

public static CallableOptions getDefaultInstance ()

public CallableOptionsgetDefaultInstanceForType ()

final estático público com.google.protobuf.Descriptors.Descriptor getDescriptor ()

string pública getFeed (índice int) 

 Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;

público com.google.protobuf.ByteString getFeedBytes (índice int) 

 Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;

público int getFeedCount () 

 Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;

mapa público<String, String> getFeedDevices ()

Use getFeedDevicesMap() em vez disso.

público 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;

mapa público<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;

string pública getFeedDevicesOrDefault (chave de string, string defaultValue) 

 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;

String pública getFeedDevicesOrThrow (chave de 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 com.google.protobuf.ProtocolStringList getFeedList () 

 Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1;

String pública getFetch (índice interno) 

 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;

público com.google.protobuf.ByteString getFetchBytes (índice 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;

público 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;

mapa público<String, String> getFetchDevices ()

Use getFetchDevicesMap() em vez disso.

público int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

mapa público<String, String> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

string pública getFetchDevicesOrDefault (chave de string, string defaultValue)

map<string, string> fetch_devices = 7;

String pública getFetchDevicesOrThrow (chave de string)

map<string, string> fetch_devices = 7;

público 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;

público booleano 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;

público getParserForType ()

RunOptions públicas getRunOptions () 

 Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;

public RunOptionsOrBuilder getRunOptionsOrBuilder () 

 Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;

público int getSerializedSize ()

string pública getTarget (índice 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;

público com.google.protobuf.ByteString getTargetBytes (índice 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;

público 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;

público 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;

público TensorConnection getTensorConnection (índice 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;

público 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;

Lista pública< 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;

público TensorConnectionOrBuilder getTensorConnectionOrBuilder (índice 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;

Lista pública<? estende 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;

final público com.google.protobuf.UnknownFieldSet getUnknownFields ()

hasRunOptions booleano público () 

 Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;

hashCode int público ()

público final booleano isInitialized ()

público estático CallableOptions.Builder newBuilder ()

public static CallableOptions.Builder newBuilder ( protótipo CallableOptions )

público CallableOptions.Builder newBuilderForType ()

public static CallableOptions parseDelimitedFrom (entrada InputStream)

Lança
IOException

public static CallableOptions parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
IOException

public static CallableOptions parseFrom (dados de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
InvalidProtocolBufferException

public static CallableOptions parseFrom (entrada com.google.protobuf.CodedInputStream)

Lança
IOException

public static CallableOptions parseFrom (byte[] dados, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
InvalidProtocolBufferException

public static CallableOptions parseFrom (dados ByteBuffer)

Lança
InvalidProtocolBufferException

public static CallableOptions parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
IOException

public static CallableOptions parseFrom (dados com.google.protobuf.ByteString)

Lança
InvalidProtocolBufferException

public static CallableOptions parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
IOException

public static CallableOptions parseFrom (dados com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lança
InvalidProtocolBufferException

estática pública analisador ()

público CallableOptions.Builder toBuilder ()

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

Lança
IOException