CallableOptions

publiczna klasa końcowa 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()`.
Protobuf typu tensorflow.CallableOptions

Klasy zagnieżdżone

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

Stałe

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

Metody publiczne

wartość logiczna
zawieraFeedDevices (klucz ciąg) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
wartość logiczna
zawieraFetchDevices (klucz ciąg)
map<string, string> fetch_devices = 7;
wartość logiczna
równa się (obiekt obiektu)
statyczne opcje wywoływania
pobierz instancję domyślną ()
Opcje wywoływalne
getDefaultInstanceForType ()
końcowy statyczny com.google.protobuf.Descriptors.Descriptor
pobierzDescriptor ()
Smyczkowy
getFeed (indeks int) 
 Tensors to be fed in the callable.
com.google.protobuf.ByteString
getFeedBytes (indeks int) 
 Tensors to be fed in the callable.
wew
pobierzCountFeed () 
 Tensors to be fed in the callable.
Mapa<String, String>
getFeedDevices ()
Zamiast tego użyj funkcji getFeedDevicesMap() .
wew
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.
Smyczkowy
getFeedDevicesOrDefault (klucz ciągu, ciąg znaków defaultValue) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
Smyczkowy
getFeedDevicesOrThrow (klawisz ciągu) 
 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
pobierz listę kanałów () 
 Tensors to be fed in the callable.
Smyczkowy
getFetch (indeks int) 
 Fetches.
com.google.protobuf.ByteString
getFetchBytes (indeks int) 
 Fetches.
wew
getFetchCount () 
 Fetches.
Mapa<String, String>
pobierz urządzenia ()
Zamiast tego użyj getFetchDevicesMap() .
wew
getFetchDevicesCount ()
map<string, string> fetch_devices = 7;
Mapa<String, String>
getFetchDevicesMap ()
map<string, string> fetch_devices = 7;
Smyczkowy
getFetchDevicesOrDefault (klucz ciągu, ciąg znaków defaultValue)
map<string, string> fetch_devices = 7;
Smyczkowy
getFetchDevicesOrThrow (klawisz ciągu)
map<string, string> fetch_devices = 7;
com.google.protobuf.ProtocolStringList
getFetchList () 
 Fetches.
wartość logiczna
getFetchPomińSync () 
 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 ()
Opcje uruchamiania
getRunOptions () 
 Options that will be applied to each run.
UruchomOpcjeOrBuilder
getRunOptionsOrBuilder () 
 Options that will be applied to each run.
wew
getSerializedSize ()
Smyczkowy
getTarget (indeks int) 
 Target Nodes.
com.google.protobuf.ByteString
getTargetBytes (indeks int) 
 Target Nodes.
wew
pobierz liczbę docelową () 
 Target Nodes.
com.google.protobuf.ProtocolStringList
pobierz listę celów () 
 Target Nodes.
Połączenie Tensora
getTensorConnection (indeks int) 
 Tensors to be connected in the callable.
wew
getTensorConnectionCount () 
 Tensors to be connected in the callable.
Lista < TensorConnection >
getTensorConnectionList () 
 Tensors to be connected in the callable.
TensorConnectionOrBuilder
getTensorConnectionOrBuilder (indeks int) 
 Tensors to be connected in the callable.
Lista<? rozszerza TensorConnectionOrBuilder >
getTensorConnectionOrBuilderList () 
 Tensors to be connected in the callable.
końcowy com.google.protobuf.UnknownFieldSet
getUnknownFields ()
wartość logiczna
maRunOptions () 
 Options that will be applied to each run.
wew
hashCode ()
końcowa wartość logiczna
jest zainicjowany ()
statyczne CallableOptions.Builder
nowyKonstruktor ()
statyczne CallableOptions.Builder
newBuilder (prototyp CallableOptions )
CallableOptions.Builder
nowyBuilderForType ()
statyczne opcje wywoływania
parseDelimitedFrom (wejście strumienia wejściowego)
statyczne opcje wywoływania
parseDelimitedFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczne opcje wywoływania
parseFrom (dane ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczne opcje wywoływania
parseFrom (wejście com.google.protobuf.CodedInputStream)
statyczne opcje wywoływania
parseFrom (bajt [] dane, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)
statyczne opcje wywoływania
parseFrom (dane ByteBuffer)
statyczne opcje wywoływania
parseFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczne opcje wywoływania
parseFrom (dane com.google.protobuf.ByteString)
statyczne opcje wywoływania
parseFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczne opcje wywoływania
parseFrom (dane com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
statyczny
parser ()
CallableOptions.Builder
do konstruktora ()
próżnia
writeTo (wyjście com.google.protobuf.CodedOutputStream)

Metody dziedziczone

Stałe

publiczny statyczny końcowy int FEED_DEVICES_FIELD_NUMBER

Wartość stała: 6

publiczny statyczny końcowy int FEED_FIELD_NUMBER

Wartość stała: 1

publiczny statyczny końcowy int FETCH_DEVICES_FIELD_NUMBER

Wartość stała: 7

publiczny statyczny końcowy int FETCH_FIELD_NUMBER

Wartość stała: 2

publiczny statyczny końcowy int FETCH_SKIP_SYNC_FIELD_NUMBER

Wartość stała: 8

publiczny statyczny końcowy int RUN_OPTIONS_FIELD_NUMBER

Wartość stała: 4

publiczny statyczny końcowy int TARGET_FIELD_NUMBER

Wartość stała: 3

publiczny statyczny końcowy int TENSOR_CONNECTION_FIELD_NUMBER

Wartość stała: 5

Metody publiczne

publiczna wartość logiczna zawieraFeedDevices (klucz ciąg) 

 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;

publiczna wartość logiczna zawieraFetchDevices (klucz ciąg)

map<string, string> fetch_devices = 7;

publiczna wartość logiczna równa się (obiekt obiektu)

public static CallableOptions getDefaultInstance ()

public CallableOptions getDefaultInstanceForType ()

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

public String getFeed (indeks 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 (indeks int) 

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

publiczny 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 ()

Zamiast tego użyj funkcji 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 (klucz ciągu, ciąg domyślna wartość) 

 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 (klucz ciągu) 

 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;

public String getFetch (indeks 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 (indeks 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;

publiczny 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 ()

Zamiast tego użyj getFetchDevicesMap() .

public int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

public Map<String, String> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

public String getFetchDevicesOrDefault (klucz ciągu, ciąg domyślna wartość)

map<string, string> fetch_devices = 7;

publiczny ciąg getFetchDevicesOrThrow (klucz ciągu)

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;

publiczna wartość logiczna 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;

publiczny 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;

publiczny int getSerializedSize ()

public String getTarget (indeks 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 (indeks 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;

publiczny 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 (indeks 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;

publiczny 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;

public List< 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 (indeks 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 publiczna<? rozszerza 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;

publiczny finał com.google.protobuf.UnknownFieldSet getUnknownFields ()

publiczna wartość logiczna hasRunOptions () 

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

publiczny int hashCode ()

publiczna końcowa wartość logiczna isInitialized ()

public static CallableOptions.Builder newBuilder ()

public static CallableOptions.Builder newBuilder (prototyp CallableOptions )

public CallableOptions.Builder newBuilderForType ()

public static CallableOptions parseDelimitedFrom (wejścieInputStream)

Rzuca
Wyjątek IO

public static CallableOptions parseDelimitedFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Rzuca
Wyjątek IO

public static CallableOptions parseFrom (dane ByteBuffer, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)

Rzuca
Nieprawidłowy wyjątekProtocolBufferException

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

Rzuca
Wyjątek IO

public static CallableOptions parseFrom (bajt [] dane, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)

Rzuca
Nieprawidłowy wyjątekProtocolBufferException

public static CallableOptions parseFrom (dane ByteBuffer)

Rzuca
Nieprawidłowy wyjątekProtocolBufferException

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

Rzuca
Wyjątek IO

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

Rzuca
Nieprawidłowy wyjątekProtocolBufferException

public static CallableOptions parseFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)

Rzuca
Wyjątek IO

public static CallableOptions parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Rzuca
Nieprawidłowy wyjątekProtocolBufferException

publiczna statyka parser ()

public CallableOptions.Builder toBuilder ()

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

Rzuca
Wyjątek IO