CallableOptions

classe finale publique 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()`.
tensorflow.CallableOptions

Classes imbriquées

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

Constantes

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 RUN_OPTIONS_FIELD_NUMBER
int TARGET_FIELD_NUMBER
int TENSOR_CONNECTION_FIELD_NUMBER

Méthodes publiques

booléen
contientFeedDevices (clé de chaîne)
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
booléen
contientFetchDevices (clé de chaîne)
map<string, string> fetch_devices = 7;
booléen
est égal (Obj objet)
Options d'appel statiques
getDefaultInstance ()
Optionsappelables
getDefaultInstanceForType ()
final statique com.google.protobuf.Descriptors.Descriptor
getDescripteur ()
Chaîne
getFeed (index entier)
 Tensors to be fed in the callable.
com.google.protobuf.ByteString
getFeedBytes (index int)
 Tensors to be fed in the callable.
int
getFeedCount ()
 Tensors to be fed in the callable.
Carte<String, String>
getFeedDevices ()
Utilisez plutôt 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.
Carte<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.
Chaîne
getFeedDevicesOrDefault (clé de chaîne, valeur par défaut de chaîne)
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
Chaîne
getFeedDevicesOrThrow (clé de chaîne)
 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.
Chaîne
getFetch (index entier)
 Fetches.
com.google.protobuf.ByteString
getFetchBytes (index int)
 Fetches.
int
getFetchCount ()
 Fetches.
Carte<String, String>
getFetchDevices ()
Utilisez plutôt getFetchDevicesMap() .
int
getFetchDevicesCount ()
map<string, string> fetch_devices = 7;
Carte<String, String>
getFetchDevicesMap ()
map<string, string> fetch_devices = 7;
Chaîne
getFetchDevicesOrDefault (clé de chaîne, valeur par défaut de chaîne)
map<string, string> fetch_devices = 7;
Chaîne
getFetchDevicesOrThrow (clé de chaîne)
map<string, string> fetch_devices = 7;
com.google.protobuf.ProtocolStringList
getFetchList ()
 Fetches.
booléen
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 ()
Options d'exécution
getRunOptions ()
 Options that will be applied to each run.
ExécuterOptionsOuBuilder
getRunOptionsOrBuilder ()
 Options that will be applied to each run.
int
getSerializedSize ()
Chaîne
getTarget (index entier)
 Target Nodes.
com.google.protobuf.ByteString
getTargetBytes (index int)
 Target Nodes.
int
getTargetCount ()
 Target Nodes.
com.google.protobuf.ProtocolStringList
getListeCible ()
 Target Nodes.
TenseurConnexion
getTensorConnection (index int)
 Tensors to be connected in the callable.
int
getTensorConnectionCount ()
 Tensors to be connected in the callable.
Liste< TensorConnection >
getTensorConnectionList ()
 Tensors to be connected in the callable.
TensorConnectionOrBuilder
getTensorConnectionOrBuilder (index int)
 Tensors to be connected in the callable.
Liste<? étend TensorConnectionOrBuilder >
getTensorConnectionOrBuilderList ()
 Tensors to be connected in the callable.
final com.google.protobuf.UnknownFieldSet
getUnknownFields ()
booléen
hasRunOptions ()
 Options that will be applied to each run.
int
Code de hachage ()
booléen final
estInitialisé ()
CallableOptions.Builder statique
nouveauBuilder ()
CallableOptions.Builder statique
newBuilder (prototype CallableOptions )
CallableOptions.Builder
nouveauBuilderForType ()
Options d'appel statiques
parseDelimitedFrom (entrée InputStream)
Options d'appel statiques
parseDelimitedFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Options d'appel statiques
parseFrom (données ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Options d'appel statiques
parseFrom (entrée com.google.protobuf.CodedInputStream)
Options d'appel statiques
parseFrom (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Options d'appel statiques
parseFrom (données ByteBuffer)
Options d'appel statiques
parseFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Options d'appel statiques
parseFrom (données com.google.protobuf.ByteString)
Options d'appel statiques
parseFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Options d'appel statiques
parseFrom (données com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statique
analyseur ()
CallableOptions.Builder
toBuilder ()
vide
writeTo (sortie com.google.protobuf.CodedOutputStream)

Méthodes héritées

Constantes

public statique final int FEED_DEVICES_FIELD_NUMBER

Valeur constante : 6

public statique final int FEED_FIELD_NUMBER

Valeur constante : 1

public statique final int FETCH_DEVICES_FIELD_NUMBER

Valeur constante : 7

public statique final int FETCH_FIELD_NUMBER

Valeur constante : 2

public statique final int FETCH_SKIP_SYNC_FIELD_NUMBER

Valeur constante : 8

public statique final int RUN_OPTIONS_FIELD_NUMBER

Valeur constante : 4

public statique final entier TARGET_FIELD_NUMBER

Valeur constante : 3

public statique final int TENSOR_CONNECTION_FIELD_NUMBER

Valeur constante : 5

Méthodes publiques

public boolean containFeedDevices (clé de chaîne) 

 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 booléen containFetchDevices (clé de chaîne)

map<string, string> fetch_devices = 7;

public booléen égal (Objet obj)

public statique CallableOptions getDefaultInstance ()

public CallableOptions getDefaultInstanceForType ()

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

chaîne publique getFeed (index 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 (index 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 ()

Utilisez plutôt 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;

chaîne publique getFeedDevicesOrDefault (clé de chaîne, valeur par défaut de chaîne) 

 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;

chaîne publique getFeedDevicesOrThrow (clé de chaîne) 

 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;

chaîne publique getFetch (index 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 (index 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;

public Map<String, String> getFetchDevices ()

Utilisez plutôt getFetchDevicesMap() .

public int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

public Map<String, String> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

chaîne publique getFetchDevicesOrDefault (clé de chaîne, valeur par défaut de chaîne)

map<string, string> fetch_devices = 7;

chaîne publique getFetchDevicesOrThrow (clé de chaîne)

map<string, string> fetch_devices = 7;

public 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;

public booléen 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;

publique 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 ()

chaîne publique getTarget (index 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 (index 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;

public 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 (index 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;

liste publique < 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 (index 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;

Liste publique <? étend 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;

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

public booléen hasRunOptions () 

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

code de hachage int public ()

public final booléen isInitialized ()

public statique CallableOptions.Builder newBuilder ()

public statique CallableOptions.Builder newBuilder (prototype CallableOptions )

public CallableOptions.Builder newBuilderForType ()

public static CallableOptions parseDelimitedFrom (entrée InputStream)

Jetés
IOException

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

Jetés
IOException

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

Jetés
InvalidProtocolBufferException

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

Jetés
IOException

public static CallableOptions parseFrom (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés
InvalidProtocolBufferException

public static CallableOptions parseFrom (données ByteBuffer)

Jetés
InvalidProtocolBufferException

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

Jetés
IOException

public statique CallableOptions parseFrom (données com.google.protobuf.ByteString)

Jetés
InvalidProtocolBufferException

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

Jetés
IOException

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

Jetés
InvalidProtocolBufferException

public statique analyseur ()

public CallableOptions.Builder toBuilder ()

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

Jetés
IOException