CallableOptions

パブリック最終クラス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 型tensorflow.CallableOptions

ネストされたクラス

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

定数

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

パブリックメソッド

ブール値
containsFeedDevices (文字列キー) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
ブール値
containsFetchDevices (文字列キー)
map<string, string> fetch_devices = 7;
ブール値
等しい(オブジェクトオブジェクト)
静的CallableOptions
getDefaultInstance ()
呼び出し可能なオプション
getDefaultInstanceForType ()
最終的な静的 com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
弦
getFeed (int インデックス) 
 Tensors to be fed in the callable.
com.google.protobuf.ByteString
getFeedBytes (int インデックス) 
 Tensors to be fed in the callable.
整数
getFeedCount () 
 Tensors to be fed in the callable.
マップ<文字列, 文字列>
getFeedDevices ()
代わりにgetFeedDevicesMap()を使用してください。
整数
getFeedDevicesCount () 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
マップ<文字列, 文字列>
getFeedDevicesMap () 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
弦
getFeedDevicesOrDefault (文字列キー、文字列defaultValue) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
弦
getFeedDevicesOrThrow (文字列キー) 
 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.
弦
getFetch (int インデックス) 
 Fetches.
com.google.protobuf.ByteString
getFetchBytes (int インデックス) 
 Fetches.
整数
getFetchCount () 
 Fetches.
マップ<文字列, 文字列>
getFetchDevices ()
代わりにgetFetchDevicesMap()を使用してください。
整数
getFetchDevicesCount ()
map<string, string> fetch_devices = 7;
マップ<文字列, 文字列>
getFetchDevicesMap ()
map<string, string> fetch_devices = 7;
弦
getFetchDevicesOrDefault (文字列キー、文字列defaultValue)
map<string, string> fetch_devices = 7;
弦
getFetchDevicesOrThrow (文字列キー)
map<string, string> fetch_devices = 7;
com.google.protobuf.ProtocolStringList
getFetchList () 
 Fetches.
ブール値
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 ()
実行オプション
getRunOptions () 
 Options that will be applied to each run.
RunOptionsOrBuilder
getRunOptionsOrBuilder () 
 Options that will be applied to each run.
整数
getSerializedSize ()
弦
getTarget (int インデックス) 
 Target Nodes.
com.google.protobuf.ByteString
getTargetBytes (int インデックス) 
 Target Nodes.
整数
getTargetCount () 
 Target Nodes.
com.google.protobuf.ProtocolStringList
getTargetList () 
 Target Nodes.
テンソル接続
getTensorConnection (int インデックス) 
 Tensors to be connected in the callable.
整数
getTensorConnectionCount () 
 Tensors to be connected in the callable.
リスト< TensorConnection >
getTensorConnectionList () 
 Tensors to be connected in the callable.
TensorConnectionOrBuilder
getTensorConnectionOrBuilder (int インデックス) 
 Tensors to be connected in the callable.
リスト<? TensorConnectionOrBuilder を拡張 >
getTensorConnectionOrBuilderList () 
 Tensors to be connected in the callable.
最終的な com.google.protobuf.UnknownFieldSet
getUnknownFields ()
ブール値
hasRunOptions () 
 Options that will be applied to each run.
整数
ハッシュコード()
最終ブール値
isInitialized ()
静的CallableOptions.Builder
newBuilder ()
静的CallableOptions.Builder
newBuilder ( CallableOptionsプロトタイプ)
CallableOptions.Builder
newBuilderForType ()
静的CallableOptions
parseDelimitedFrom (InputStream 入力)
静的CallableOptions
parseDelimitedFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的CallableOptions
parseFrom (ByteBuffer データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的CallableOptions
parseFrom (com.google.protobuf.CodedInputStream 入力)
静的CallableOptions
parseFrom (byte[] データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的CallableOptions
parseFrom (ByteBuffer データ)
静的CallableOptions
parseFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的CallableOptions
parseFrom (com.google.protobuf.ByteString データ)
静的CallableOptions
parseFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的CallableOptions
parseFrom (com.google.protobuf.ByteString データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的
パーサー()
CallableOptions.Builder
toビルダー()
空所
writeTo (com.google.protobuf.CodedOutputStream 出力)

継承されたメソッド

定数

パブリック静的最終整数FEED_DEVICES_FIELD_NUMBER

定数値: 6

パブリック静的最終整数FEED_FIELD_NUMBER

定数値: 1

パブリック静的最終整数FETCH_DEVICES_FIELD_NUMBER

定数値: 7

パブリック静的最終整数FETCH_FIELD_NUMBER

定数値: 2

パブリック静的最終整数FETCH_SKIP_SYNC_FIELD_NUMBER

定数値: 8

パブリック静的最終整数RUN_OPTIONS_FIELD_NUMBER

定数値: 4

パブリック静的最終整数TARGET_FIELD_NUMBER

定数値: 3

public static Final int TENSOR_CONNECTION_FIELD_NUMBER

定数値: 5

パブリックメソッド

public boolean containsFeedDevices (文字列キー) 

 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 boolean containsFetchDevices (文字列キー)

map<string, string> fetch_devices = 7;

public booleanに等しい(オブジェクト obj)

public static CallableOptions getDefaultInstance ()

public CallableOptions getDefaultInstanceForType ()

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

public String getFeed (int インデックス) 

 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 (int インデックス) 

 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 ()

代わりにgetFeedDevicesMap()を使用してください。

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 (文字列キー、文字列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 (文字列キー) 

 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 (int インデックス) 

 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 (int インデックス) 

 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 ()

代わりにgetFetchDevicesMap()を使用してください。

public int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

public Map<String, String> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

public String getFetchDevicesOrDefault (文字列キー、文字列defaultValue)

map<string, string> fetch_devices = 7;

public String getFetchDevicesOrThrow (文字列キー)

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 boolean 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;

公共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 (int インデックス) 

 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 (int インデックス) 

 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 (int インデックス) 

 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;

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 (int インデックス) 

 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;

公開リスト<? extends 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 boolean hasRunOptions () 

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

public int hashCode ()

パブリック最終ブール値isInitialized ()

public static CallableOptions.Builder newBuilder ()

public static CallableOptions.Builder newBuilder ( CallableOptionsプロトタイプ)

public CallableOptions.Builder newBuilderForType ()

public static CallableOptions parseDelimitedFrom (InputStream 入力)

投げる
IO例外

public static CallableOptions parseDelimitedFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
IO例外

public static CallableOptions parseFrom (ByteBuffer データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
無効なプロトコルバッファ例外

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

投げる
IO例外

public static CallableOptions parseFrom (byte[] データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
無効なプロトコルバッファ例外

public static CallableOptions parseFrom (ByteBuffer データ)

投げる
無効なプロトコルバッファ例外

public static CallableOptions parseFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
IO例外

public static CallableOptions parseFrom (com.google.protobuf.ByteString データ)

投げる
無効なプロトコルバッファ例外

public static CallableOptions parseFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
IO例外

public static CallableOptions parseFrom (com.google.protobuf.ByteString データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
無効なプロトコルバッファ例外

パブリック静的パーサー()

public CallableOptions.Builder toBuilder ()

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

投げる
IO例外