CallableOptions

classe finale pubblica 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 protobuf tensorflow.CallableOptions

Classi nidificate

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

Costanti

int FEED_DEVICES_FIELD_NUMBER
int FEED_FIELD_NUMBER
int FETCH_DEVICES_FIELD_NUMBER
int FETCH_FIELD_NUMBER
int FETCH_SKIP_SYNC_FIELD_NUMBER
int ESEGUIRE_OPZIONI_CAMPO_NUMERO
int TARGET_FIELD_NUMBER
int TENSOR_CONNECTION_FIELD_NUMBER

Metodi pubblici

booleano
contieneFeedDevices (chiave 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
contieneFetchDevices (chiave String)
map<string, string> fetch_devices = 7;
booleano
è uguale a (Oggetto oggetto)
CallableOptions statiche
getDefaultInstance ()
CallableOptions
getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statico finale
getDescrittore ()
Corda
getFeed (indice int)
 Tensors to be fed in the callable.
com.google.protobuf.ByteString
getFeedBytes (indice int)
 Tensors to be fed in the callable.
int
getFeedCount ()
 Tensors to be fed in the callable.
Mappa<Stringa, Stringa>
getFeedDevices ()
Utilizza invece getFeedDevicesMap() .
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.
Mappa<Stringa, Stringa>
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 (chiave stringa, valore predefinito stringa)
 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 (chiave stringa)
 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
getElencoFeed ()
 Tensors to be fed in the callable.
Corda
getFetch (indice int)
 Fetches.
com.google.protobuf.ByteString
getFetchBytes (indice int)
 Fetches.
int
getFetchCount ()
 Fetches.
Mappa<Stringa, Stringa>
getFetchDevices ()
Utilizzare invece getFetchDevicesMap() .
int
getFetchDevicesCount ()
map<string, string> fetch_devices = 7;
Mappa<Stringa, Stringa>
getFetchDevicesMap ()
map<string, string> fetch_devices = 7;
Corda
getFetchDevicesOrDefault (chiave String, String defaultValue)
map<string, string> fetch_devices = 7;
Corda
getFetchDevicesOrThrow (chiave stringa)
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 ()
EseguiOpzioni
getRunOptions ()
 Options that will be applied to each run.
EseguiOpzioniOrBuilder
getRunOptionsOrBuilder ()
 Options that will be applied to each run.
int
getSerializedSize ()
Corda
getTarget (indice int)
 Target Nodes.
com.google.protobuf.ByteString
getTargetBytes (indice int)
 Target Nodes.
int
getTargetCount ()
 Target Nodes.
com.google.protobuf.ProtocolStringList
getListaDestinazioni ()
 Target Nodes.
TensorConnection
getTensorConnection (indice int)
 Tensors to be connected in the callable.
int
getTensorConnectionCount ()
 Tensors to be connected in the callable.
Elenco< TensorConnection >
getTensorConnectionList ()
 Tensors to be connected in the callable.
TensorConnectionOrBuilder
getTensorConnectionOrBuilder (indice int)
 Tensors to be connected in the callable.
Elenco<? estende TensorConnectionOrBuilder >
getTensorConnectionOrBuilderList ()
 Tensors to be connected in the callable.
finale com.google.protobuf.UnknownFieldSet
getUnknownFields ()
booleano
haOpzioniEsegui ()
 Options that will be applied to each run.
int
codice hash ()
booleano finale
èinizializzato ()
CallableOptions.Builder statico
nuovocostruttore ()
CallableOptions.Builder statico
newBuilder (prototipo CallableOptions )
CallableOptions.Builder
newBuilderForType ()
CallableOptions statiche
parseDelimitedFrom (input InputStream)
CallableOptions statiche
parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions statiche
parseFrom (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions statiche
parseFrom (ingresso com.google.protobuf.CodedInputStream)
CallableOptions statiche
parseFrom (byte[] dati, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions statiche
parseFrom (dati ByteBuffer)
CallableOptions statiche
parseFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
CallableOptions statiche
parseFrom (dati com.google.protobuf.ByteString)
CallableOptions statiche
parseFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
CallableOptions statiche
parseFrom (dati com.google.protobuf.ByteString, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
statico
analizzatore ()
CallableOptions.Builder
toBuilder ()
vuoto
writeTo (output com.google.protobuf.CodedOutputStream)

Metodi ereditati

Costanti

public static final int FEED_DEVICES_FIELD_NUMBER

Valore costante: 6

public static final int FEED_FIELD_NUMBER

Valore costante: 1

public static final int FETCH_DEVICES_FIELD_NUMBER

Valore costante: 7

public static final int FETCH_FIELD_NUMBER

Valore costante: 2

public static final int FETCH_SKIP_SYNC_FIELD_NUMBER

Valore costante: 8

public static final int RUN_OPTIONS_FIELD_NUMBER

Valore costante: 4

public static final int TARGET_FIELD_NUMBER

Valore costante: 3

public static final int TENSOR_CONNECTION_FIELD_NUMBER

Valore costante: 5

Metodi pubblici

booleano pubblico contieneFeedDevices (chiave 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 pubblico contieneFetchDevices (chiave String)

map<string, string> fetch_devices = 7;

booleano pubblico è uguale a (Oggetto obj)

CallableOptions statico pubblico getDefaultInstance ()

public CallableOptions getDefaultInstanceForType ()

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

public String getFeed (indice int) 

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

pubblico com.google.protobuf.ByteString getFeedBytes (indice 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;

public Map<String, String> getFeedDevices ()

Utilizza invece 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;

public Map<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;

public String getFeedDevicesOrDefault (chiave 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;

public String getFeedDevicesOrThrow (chiave 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;

pubblico com.google.protobuf.ProtocolStringList getFeedList () 

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

public String getFetch (indice 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;

pubblico com.google.protobuf.ByteString getFetchBytes (indice 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;

pubblico 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;

public Map<String, String> getFetchDevices ()

Utilizzare invece getFetchDevicesMap() .

public int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

public Map<String, String> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

public String getFetchDevicesOrDefault (chiave String, String defaultValue)

map<string, string> fetch_devices = 7;

public String getFetchDevicesOrThrow (chiave String)

map<string, string> fetch_devices = 7;

pubblico 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;

booleano pubblico 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;

pubblico getParserForType ()

public RunOptions 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;

public int getSerializedSize ()

public String getTarget (indice 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;

pubblico com.google.protobuf.ByteString getTargetBytes (indice 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;

pubblico 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 (indice 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;

Elenco pubblico< 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 (indice 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;

Elenco pubblico<? 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;

pubblico finale com.google.protobuf.UnknownFieldSet getUnknownFields ()

hasRunOptions booleano pubblico () 

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

public int hashCode ()

public final booleano isInitialized ()

pubblico statico CallableOptions.Builder newBuilder ()

pubblico statico CallableOptions.Builder newBuilder (prototipo CallableOptions )

public CallableOptions.Builder newBuilderForType ()

CallableOptions statico pubblico parseDelimitedFrom (input InputStream)

Lancia
IOException

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

Lancia
IOException

CallableOptions statico pubblico parseFrom (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia
InvalidProtocolBufferException

CallableOptions statico pubblico parseFrom (input com.google.protobuf.CodedInputStream)

Lancia
IOException

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

Lancia
InvalidProtocolBufferException

CallableOptions statiche pubbliche parseFrom (dati ByteBuffer)

Lancia
InvalidProtocolBufferException

CallableOptions statico pubblico parseFrom (input com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia
IOException

CallableOptions statico pubblico parseFrom (dati com.google.protobuf.ByteString)

Lancia
InvalidProtocolBufferException

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

Lancia
IOException

CallableOptions statico pubblico parseFrom (dati com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia
InvalidProtocolBufferException

pubblico statico analizzatore ()

pubblico CallableOptions.Builder toBuilder ()

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

Lancia
IOException