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

java.lang.Object 클래스에서

부울	같음 (개체 arg0)
마지막 수업<?>	getClass ()
정수	해시 코드 ()
최종 무효	알림 ()
최종 무효	통지모두 ()
끈	toString ()
최종 무효	대기 (long arg0, int arg1)
최종 무효	기다리세요 (긴 arg0)
최종 무효	기다리다 ()

인터페이스 org.tensorflow.proto.framework.CallableOptionsOrBuilder 에서

추상 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.
추상 부울	containFetchDevices (문자열 키) map<string, string> fetch_devices = 7;
추상 문자열	getFeed (정수 인덱스) Tensors to be fed in the callable.
추상 com.google.protobuf.ByteString	getFeedBytes (정수 인덱스) Tensors to be fed in the callable.
추상 정수	getFeedCount () Tensors to be fed in the callable.
추상 맵<문자열, 문자열>	getFeedDevices () 대신 getFeedDevicesMap() 사용하세요.
추상 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.
추상 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.
추상 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.
추상 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.
추상 목록<문자열>	getFeedList () Tensors to be fed in the callable.
추상 문자열	getFetch (정수 인덱스) Fetches.
추상 com.google.protobuf.ByteString	getFetchBytes (정수 인덱스) Fetches.
추상 정수	getFetchCount () Fetches.
추상 맵<문자열, 문자열>	getFetchDevices () 대신 getFetchDevicesMap() 사용하세요.
추상 정수	getFetchDevicesCount () map<string, string> fetch_devices = 7;
추상 맵<문자열, 문자열>	getFetchDevicesMap () map<string, string> fetch_devices = 7;
추상 문자열	getFetchDevicesOrDefault (문자열 키, 문자열 defaultValue) map<string, string> fetch_devices = 7;
추상 문자열	getFetchDevicesOrThrow (문자열 키) map<string, string> fetch_devices = 7;
추상 목록<문자열>	getFetchList () Fetches.
추상 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.
추상 실행 옵션	getRunOptions () Options that will be applied to each run.
추상 RunOptionsOrBuilder	getRunOptionsOrBuilder () Options that will be applied to each run.
추상 문자열	getTarget (정수 인덱스) Target Nodes.
추상 com.google.protobuf.ByteString	getTargetBytes (정수 인덱스) Target Nodes.
추상 정수	getTargetCount () Target Nodes.
추상 목록<문자열>	getTargetList () Target Nodes.
추상 TensorConnection	getTensorConnection (정수 인덱스) Tensors to be connected in the callable.
추상 정수	getTensorConnectionCount () Tensors to be connected in the callable.
추상 목록< TensorConnection >	getTensorConnectionList () Tensors to be connected in the callable.
추상 TensorConnectionOrBuilder	getTensorConnectionOrBuilder (정수 인덱스) Tensors to be connected in the callable.
추상 목록<? TensorConnectionOrBuilder 확장 >	getTensorConnectionOrBuilderList () Tensors to be connected in the callable.
추상 부울	hasRunOptions () Options that will be applied to each run.

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, 개체 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 클리어피드디바이스 ()

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 클리어FetchDevices ()

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.OneofDescriptoroneof)

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;

공용 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.UnknownFieldSetknownFields)

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)

공개 CallableOptions.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, int 인덱스, 개체 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)