CallableOptionsOrBuilder

interfejs publiczny CallableOptionsOrBuilder
Znane podklasy pośrednie

Metody publiczne

abstrakcyjna 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.
abstrakcyjna wartość logiczna
zawieraFetchDevices (klucz ciąg)
map<string, string> fetch_devices = 7;
abstrakcyjny ciąg
getFeed (indeks int)
 Tensors to be fed in the callable.
streszczenie com.google.protobuf.ByteString
getFeedBytes (indeks int)
 Tensors to be fed in the callable.
streszczenie wew
pobierzCountFeed ()
 Tensors to be fed in the callable.
abstrakcyjna Mapa<String, String>
getFeedDevices ()
Zamiast tego użyj getFeedDevicesMap() .
streszczenie 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.
abstrakcyjna 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.
abstrakcyjny ciąg
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.
abstrakcyjny ciąg
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.
lista abstrakcyjna<String>
pobierz listę kanałów ()
 Tensors to be fed in the callable.
abstrakcyjny ciąg
getFetch (indeks int)
 Fetches.
streszczenie com.google.protobuf.ByteString
getFetchBytes (indeks int)
 Fetches.
streszczenie wew
getFetchCount ()
 Fetches.
abstrakcyjna Mapa<String, String>
pobierz urządzenia ()
Zamiast tego użyj getFetchDevicesMap() .
streszczenie wew
getFetchDevicesCount ()
map<string, string> fetch_devices = 7;
abstrakcyjna Mapa<String, String>
getFetchDevicesMap ()
map<string, string> fetch_devices = 7;
abstrakcyjny ciąg
getFetchDevicesOrDefault (klucz ciągu, ciąg znaków defaultValue)
map<string, string> fetch_devices = 7;
abstrakcyjny ciąg
getFetchDevicesOrThrow (klawisz ciągu)
map<string, string> fetch_devices = 7;
lista abstrakcyjna<String>
getFetchList ()
 Fetches.
abstrakcyjna 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.
abstrakcyjne opcje uruchamiania
getRunOptions ()
 Options that will be applied to each run.
streszczenie RunOptionsOrBuilder
getRunOptionsOrBuilder ()
 Options that will be applied to each run.
abstrakcyjny ciąg
getTarget (indeks int)
 Target Nodes.
streszczenie com.google.protobuf.ByteString
getTargetBytes (indeks int)
 Target Nodes.
streszczenie wew
pobierz liczbę docelową ()
 Target Nodes.
lista abstrakcyjna<String>
pobierz listę celów ()
 Target Nodes.
abstrakcyjne połączenie Tensora
getTensorConnection (indeks int)
 Tensors to be connected in the callable.
streszczenie wew
getTensorConnectionCount ()
 Tensors to be connected in the callable.
lista abstrakcyjna< TensorConnection >
getTensorConnectionList ()
 Tensors to be connected in the callable.
streszczenie TensorConnectionOrBuilder
getTensorConnectionOrBuilder (indeks int)
 Tensors to be connected in the callable.
lista abstrakcyjna<? rozszerza TensorConnectionOrBuilder >
getTensorConnectionOrBuilderList ()
 Tensors to be connected in the callable.
abstrakcyjna wartość logiczna
maRunOptions ()
 Options that will be applied to each run.

Metody publiczne

publiczna wartość logiczna abstrakcyjna 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 abstrakcyjna zawieraFetchDevices (klucz ciąg)

map<string, string> fetch_devices = 7;

public streszczenie String getFeed (indeks int) 

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

publiczne streszczenie 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;

publiczne streszczenie int getFeedCount () 

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

publiczna abstrakcja Mapa<String, String> getFeedDevices ()

Zamiast tego użyj getFeedDevicesMap() .

publiczne streszczenie 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;

publiczna streszczenie 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.
 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 streszczenie String 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.
 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;

publiczny streszczenie String getFeedDevicesOrThrow (klucz typu 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;

publiczna lista abstrakcyjna<String> getFeedList () 

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

publiczne streszczenie 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;

publiczna abstrakcja 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;

publiczne streszczenie 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;

publiczna abstrakcja Mapa<String, String> getFetchDevices ()

Zamiast tego użyj getFetchDevicesMap() .

publiczne streszczenie int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

publiczna streszczenie Mapa<String, String> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

public streszczenie String getFetchDevicesOrDefault (klucz ciąg, ciąg domyślna wartość)

map<string, string> fetch_devices = 7;

publiczna abstrakcja String getFetchDevicesOrThrow (klucz typu String)

map<string, string> fetch_devices = 7;

publiczna lista abstrakcyjna<String> 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 abstrakcja 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;

publiczne streszczenie RunOptions getRunOptions () 

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

publiczne streszczenie RunOptionsOrBuilder getRunOptionsOrBuilder () 

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

public streszczenie 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;

publiczna abstrakcja 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;

publiczne streszczenie 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;

publiczna lista abstrakcyjna<String> 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;

publiczne streszczenie 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;

publiczne streszczenie 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;

publiczna lista abstrakcyjna< 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;

publiczne streszczenie 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;

publiczna lista abstrakcyjna<? 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;

publiczna wartość logiczna abstrakcyjna hasRunOptions () 

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