CallableOptions.Builder

공개 정적 최종 클래스 CallableOptions.Builder

 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 유형 tensorflow.CallableOptions

공개 방법

CallableOptions.Builder
addAllFeed (Iterable<String> 값) 
 Tensors to be fed in the callable.
CallableOptions.Builder
addAllFetch (Iterable<String> 값) 
 Fetches.
CallableOptions.Builder
addAllTarget (Iterable<String> 값) 
 Target Nodes.
CallableOptions.Builder
addAllTensorConnection (Iterable<? 확장 TensorConnection > 값) 
 Tensors to be connected in the callable.
CallableOptions.Builder
addFeed (문자열 값) 
 Tensors to be fed in the callable.
CallableOptions.Builder
addFeedBytes (com.google.protobuf.ByteString 값) 
 Tensors to be fed in the callable.
CallableOptions.Builder
addFetch (문자열 값) 
 Fetches.
CallableOptions.Builder
addFetchBytes (com.google.protobuf.ByteString 값) 
 Fetches.
CallableOptions.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값)
CallableOptions.Builder
addTarget (문자열 값) 
 Target Nodes.
CallableOptions.Builder
addTargetBytes (com.google.protobuf.ByteString 값) 
 Target Nodes.
CallableOptions.Builder
addTensorConnection (int 인덱스, TensorConnection 값) 
 Tensors to be connected in the callable.
CallableOptions.Builder
addTensorConnection (int 인덱스, TensorConnection.Builder builderForValue) 
 Tensors to be connected in the callable.
CallableOptions.Builder
addTensorConnection ( TensorConnection 값) 
 Tensors to be connected in the callable.
CallableOptions.Builder
addTensorConnection ( TensorConnection.Builder builderForValue) 
 Tensors to be connected in the callable.
TensorConnection.Builder
addTensorConnectionBuilder () 
 Tensors to be connected in the callable.
TensorConnection.Builder
addTensorConnectionBuilder (정수 인덱스) 
 Tensors to be connected in the callable.
호출 가능 옵션
짓다 ()
호출 가능 옵션
빌드부분 ()
CallableOptions.Builder
분명한 ()
CallableOptions.Builder
클리어피드 () 
 Tensors to be fed in the callable.
CallableOptions.Builder
클리어피드디바이스 ()
CallableOptions.Builder
클리어페치 () 
 Fetches.
CallableOptions.Builder
클리어페치디바이스 ()
CallableOptions.Builder
클리어FetchSkipSync () 
 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.
CallableOptions.Builder
ClearField (com.google.protobuf.Descriptors.FieldDescriptor 필드)
CallableOptions.Builder
ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
CallableOptions.Builder
클리어런옵션 () 
 Options that will be applied to each run.
CallableOptions.Builder
클리어타겟 () 
 Target Nodes.
CallableOptions.Builder
클리어텐서커넥션 () 
 Tensors to be connected in the callable.
CallableOptions.Builder
클론 ()
부울
containFeedDevices (문자열 키) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
부울
containFetchDevices (문자열 키)
map<string, string> fetch_devices = 7;
호출 가능 옵션
getDefaultInstanceForType ()
최종 정적 com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
끈
getFeed (정수 인덱스) 
 Tensors to be fed in the callable.
com.google.protobuf.ByteString
getFeedBytes (정수 인덱스) 
 Tensors to be fed in the callable.
정수
getFeedCount () 
 Tensors to be fed in the callable.
맵<문자열, 문자열>
getFeedDevices ()
대신 getFeedDevicesMap() 사용하세요.
정수
getFeedDevicesCount () 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
맵<문자열, 문자열>
getFeedDevicesMap () 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
끈
getFeedDevicesOrDefault (문자열 키, 문자열 defaultValue) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
끈
getFeedDevicesOrThrow (문자열 키) 
 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.
끈
getFetch (정수 인덱스) 
 Fetches.
com.google.protobuf.ByteString
getFetchBytes (정수 인덱스) 
 Fetches.
정수
getFetchCount () 
 Fetches.
맵<문자열, 문자열>
getFetchDevices ()
대신 getFetchDevicesMap() 사용하세요.
정수
getFetchDevicesCount ()
map<string, string> fetch_devices = 7;
맵<문자열, 문자열>
getFetchDevicesMap ()
map<string, string> fetch_devices = 7;
끈
getFetchDevicesOrDefault (문자열 키, 문자열 defaultValue)
map<string, string> fetch_devices = 7;
끈
getFetchDevicesOrThrow (문자열 키)
map<string, string> fetch_devices = 7;
com.google.protobuf.ProtocolStringList
getFetchList () 
 Fetches.
부울
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.
맵<문자열, 문자열>
getMutableFeedDevices ()
대신 대체 돌연변이 접근자를 사용하세요.
맵<문자열, 문자열>
getMutableFetchDevices ()
대신 대체 돌연변이 접근자를 사용하세요.
실행옵션
getRunOptions () 
 Options that will be applied to each run.
RunOptions.Builder
getRunOptionsBuilder () 
 Options that will be applied to each run.
RunOptionsOrBuilder
getRunOptionsOrBuilder () 
 Options that will be applied to each run.
끈
getTarget (정수 인덱스) 
 Target Nodes.
com.google.protobuf.ByteString
getTargetBytes (정수 인덱스) 
 Target Nodes.
정수
getTargetCount () 
 Target Nodes.
com.google.protobuf.ProtocolStringList
getTargetList () 
 Target Nodes.
텐서커넥션
getTensorConnection (정수 인덱스) 
 Tensors to be connected in the callable.
TensorConnection.Builder
getTensorConnectionBuilder (정수 인덱스) 
 Tensors to be connected in the callable.
목록< TensorConnection.Builder >
getTensorConnectionBuilderList () 
 Tensors to be connected in the callable.
정수
getTensorConnectionCount () 
 Tensors to be connected in the callable.
목록< TensorConnection >
getTensorConnectionList () 
 Tensors to be connected in the callable.
TensorConnectionOrBuilder
getTensorConnectionOrBuilder (정수 인덱스) 
 Tensors to be connected in the callable.
목록<? TensorConnectionOrBuilder 확장 >
getTensorConnectionOrBuilderList () 
 Tensors to be connected in the callable.
부울
hasRunOptions () 
 Options that will be applied to each run.
최종 부울
초기화됨 ()
CallableOptions.Builder
mergeFrom (com.google.protobuf.다른 메시지 보내기)
CallableOptions.Builder
mergeFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
CallableOptions.Builder
mergeRunOptions ( RunOptions 값) 
 Options that will be applied to each run.
최종 CallableOptions.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet 알려지지 않은Fields)
CallableOptions.Builder
putAllFeedDevices (Map<String, String> 값) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
CallableOptions.Builder
putAllFetchDevices (Map<String, String> 값)
map<string, string> fetch_devices = 7;
CallableOptions.Builder
putFeedDevices (문자열 키, 문자열 값) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
CallableOptions.Builder
putFetchDevices (문자열 키, 문자열 값)
map<string, string> fetch_devices = 7;
CallableOptions.Builder
RemoveFeedDevices (문자열 키) 
 The Tensor objects fed in the callable and fetched from the callable
 are expected to be backed by host (CPU) memory by default.
CallableOptions.Builder
RemoveFetchDevices (문자열 키)
map<string, string> fetch_devices = 7;
CallableOptions.Builder
RemoveTensorConnection (int 인덱스) 
 Tensors to be connected in the callable.
CallableOptions.Builder
setFeed (int 인덱스, 문자열 값) 
 Tensors to be fed in the callable.
CallableOptions.Builder
setFetch (int 인덱스, 문자열 값) 
 Fetches.
CallableOptions.Builder
setFetchSkipSync (부울 값) 
 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.
CallableOptions.Builder
setField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값)
CallableOptions.Builder
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, int 인덱스, 개체 값)
CallableOptions.Builder
setRunOptions ( RunOptions.Builder builderForValue) 
 Options that will be applied to each run.
CallableOptions.Builder
setRunOptions ( RunOptions 값) 
 Options that will be applied to each run.
CallableOptions.Builder
setTarget (int 인덱스, 문자열 값) 
 Target Nodes.
CallableOptions.Builder
setTensorConnection (int 인덱스, TensorConnection 값) 
 Tensors to be connected in the callable.
CallableOptions.Builder
setTensorConnection (int 인덱스, TensorConnection.Builder builderForValue) 
 Tensors to be connected in the callable.
최종 CallableOptions.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)

상속된 메서드

공개 방법

공개 CallableOptions.Builder addAllFeed (Iterable<String> 값) 

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

공개 CallableOptions.Builder addAllFetch (Iterable<String> 값) 

 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;

공개 CallableOptions.Builder addAllTarget (Iterable<String> 값) 

 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;

공개 CallableOptions.Builder addAllTensorConnection (Iterable<? 확장 TensorConnection > 값) 

 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;

공개 CallableOptions.Builder addFeed (문자열 값) 

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

공개 CallableOptions.Builder addFeedBytes (com.google.protobuf.ByteString 값) 

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

공개 CallableOptions.Builder addFetch (문자열 값) 

 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;

공개 CallableOptions.Builder addFetchBytes (com.google.protobuf.ByteString 값) 

 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;

공개 CallableOptions.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 객체 값)

공개 CallableOptions.Builder addTarget (문자열 값) 

 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;

공개 CallableOptions.Builder addTargetBytes (com.google.protobuf.ByteString 값) 

 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;

공개 CallableOptions.Builder addTensorConnection (int 인덱스, TensorConnection 값) 

 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;

공개 CallableOptions.Builder addTensorConnection (int 인덱스, TensorConnection.Builder builderForValue) 

 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;

공개 CallableOptions.Builder addTensorConnection ( TensorConnection 값) 

 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;

공개 CallableOptions.Builder addTensorConnection ( TensorConnection.Builder builderForValue) 

 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;

공개 TensorConnection.Builder addTensorConnectionBuilder () 

 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;

공개 TensorConnection.Builder addTensorConnectionBuilder (int 인덱스) 

 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;

공개 CallableOptions 빌드 ()

공개 CallableOptions buildPartial ()

공개 CallableOptions.Builder 지우기 ()

공개 CallableOptions.Builder 클리어피드 () 

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

공개 CallableOptions.Builder ClearFeedDevices ()

공개 CallableOptions.Builder 클리어페치 () 

 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;

공개 CallableOptions.Builder ClearFetchDevices ()

공개 CallableOptions.Builder ClearFetchSkipSync () 

 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;

공개 CallableOptions.BuilderclearField ( com.google.protobuf.Descriptors.FieldDescriptor 필드)

공개 CallableOptions.BuilderclearOneof ( com.google.protobuf.Descriptors.OneofDescriptor oneof)

공개 CallableOptions.Builder ClearRunOptions () 

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

공개 CallableOptions.Builder ClearTarget () 

 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;

공개 CallableOptions.Builder ClearTensorConnection () 

 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;

공개 CallableOptions.Builder 클론 ()

공개 부울 containFeedDevices (문자열 키) 

 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;

공개 부울 containFetchDevices (문자열 키)

map<string, string> fetch_devices = 7;

공개 CallableOptions getDefaultInstanceForType ()

공개 정적 최종 com.google.protobuf.Descriptors.Descriptor getDescriptor ()

공개 com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

공개 문자열 getFeed (int 인덱스) 

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

공개 com.google.protobuf.ByteString getFeedBytes (int 인덱스) 

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

공개 int getFeedCount () 

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

공용 Map<String, String> getFeedDevices ()

대신 getFeedDevicesMap() 사용하세요.

공개 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;

공개 맵<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;

공개 문자열 getFeedDevicesOrDefault (문자열 키, 문자열 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;

공개 문자열 getFeedDevicesOrThrow (문자열 키) 

 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;

공개 com.google.protobuf.ProtocolStringList getFeedList () 

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

공개 문자열 getFetch (int 인덱스) 

 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;

공개 com.google.protobuf.ByteString getFetchBytes (int 인덱스) 

 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;

공개 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;

공용 Map<String, String> getFetchDevices ()

대신 getFetchDevicesMap() 사용하세요.

공개 int getFetchDevicesCount ()

map<string, string> fetch_devices = 7;

공용 Map<String, String> getFetchDevicesMap ()

map<string, string> fetch_devices = 7;

공개 문자열 getFetchDevicesOrDefault (문자열 키, 문자열 defaultValue)

map<string, string> fetch_devices = 7;

공개 문자열 getFetchDevicesOrThrow (문자열 키)

map<string, string> fetch_devices = 7;

공개 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;

공개 부울 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;

공개 Map<String, String> getMutableFeedDevices ()

대신 대체 돌연변이 접근자를 사용하세요.

공개 Map<String, String> getMutableFetchDevices ()

대신 대체 돌연변이 접근자를 사용하세요.

공개 RunOptions getRunOptions () 

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

공개 RunOptions.Builder getRunOptionsBuilder () 

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

공개 RunOptionsOrBuilder getRunOptionsOrBuilder () 

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

공개 문자열 getTarget (정수 인덱스) 

 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;

공개 com.google.protobuf.ByteString getTargetBytes (int 인덱스) 

 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;

공개 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;

공개 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;

공개 TensorConnection getTensorConnection (int 인덱스) 

 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;

공개 TensorConnection.Builder getTensorConnectionBuilder (int 인덱스) 

 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;

공개 목록< TensorConnection.Builder > getTensorConnectionBuilderList () 

 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;

공개 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;

공개 목록< 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;

공개 TensorConnectionOrBuilder getTensorConnectionOrBuilder (int 인덱스) 

 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;

공개 목록<? TensorConnectionOrBuilder > getTensorConnectionOrBuilderList () 를 확장합니다. 

 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;

공개 부울 hasRunOptions () 

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

공개 최종 부울 isInitialized ()

공개 CallableOptions.Builder mergeFrom (com.google.protobuf.다른 메시지)

공개 CallableOptions.Builder mergeFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

던지기
IO예외

공개 CallableOptions.Builder mergeRunOptions ( RunOptions 값) 

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

공개 최종 CallableOptions.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)

공개 CallableOptions.Builder putAllFeedDevices (Map<String, String> 값) 

 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;

공개 CallableOptions.Builder putAllFetchDevices (Map<String, String> 값)

map<string, string> fetch_devices = 7;

공개 CallableOptions.Builder putFeedDevices (문자열 키, 문자열 값) 

 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;

공개 CallableOptions.Builder putFetchDevices (문자열 키, 문자열 값)

map<string, string> fetch_devices = 7;

공개 CallableOptions.Builder RemoveFeedDevices (문자열 키) 

 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;

공개 CallableOptions.Builder RemoveFetchDevices (문자열 키)

map<string, string> fetch_devices = 7;

공개 CallableOptions.Builder RemoveTensorConnection (int 인덱스) 

 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;

공개 CallableOptions.Builder setFeed (int 인덱스, 문자열 값) 

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

공개 CallableOptions.Builder setFetch (int 인덱스, 문자열 값) 

 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;

공개 CallableOptions.Builder setFetchSkipSync (부울 값) 

 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;

공개 CallableOptions.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값)

public CallableOptions.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, int 인덱스, 객체 값)

공개 CallableOptions.Builder setRunOptions ( RunOptions.Builder builderForValue) 

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

공개 CallableOptions.Builder setRunOptions ( RunOptions 값) 

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

공개 CallableOptions.Builder setTarget (int 인덱스, 문자열 값) 

 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;

공개 CallableOptions.Builder setTensorConnection (int 인덱스, TensorConnection 값) 

 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;

공개 CallableOptions.Builder setTensorConnection (int 인덱스, TensorConnection.Builder builderForValue) 

 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;

공개 최종 CallableOptions.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)