CallableOptions

공개 최종 클래스 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 유형 tensorflow.CallableOptions

중첩 클래스

수업

CallableOptions.Builder

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

상수

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

공개 방법

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;
부울	같음 (객체 객체)
정적 호출 가능 옵션	getDefaultInstance ()
호출 가능 옵션	getDefaultInstanceForType ()
최종 정적 com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
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.
	getParserForType ()
실행옵션	getRunOptions () Options that will be applied to each run.
RunOptionsOrBuilder	getRunOptionsOrBuilder () Options that will be applied to each run.
정수	getSerializedSize ()
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.
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.
최종 com.google.protobuf.UnknownFieldSet	getUnknownFields ()
부울	hasRunOptions () Options that will be applied to each run.
정수	해시 코드 ()
최종 부울	초기화됨 ()
정적 CallableOptions.Builder	새로운 빌더 ()
정적 CallableOptions.Builder	newBuilder ( CallableOptions 프로토타입)
CallableOptions.Builder	newBuilderForType ()
정적 호출 가능 옵션	parsDelimitedFrom (InputStream 입력)
정적 호출 가능 옵션	parseDelimitedFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 호출 가능 옵션	ParseFrom (ByteBuffer 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 호출 가능 옵션	ParseFrom (com.google.protobuf.CodedInputStream 입력)
정적 호출 가능 옵션	parseFrom (byte[] 데이터, com.google.protobuf.ExtensionRegistryLite 확장Registry)
정적 호출 가능 옵션	parsFrom (ByteBuffer 데이터)
정적 호출 가능 옵션	ParseFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 호출 가능 옵션	ParseFrom (com.google.protobuf.ByteString 데이터)
정적 호출 가능 옵션	ParseFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 호출 가능 옵션	ParseFrom (com.google.protobuf.ByteString 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
공전	파서 ()
CallableOptions.Builder	toBuilder ()
무효의	writeTo (com.google.protobuf.CodedOutputStream 출력)

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.

상수

공개 정적 최종 int FEED_DEVICES_FIELD_NUMBER

상수값: 6

공개 정적 최종 정수 FEED_FIELD_NUMBER

상수값: 1

공개 정적 최종 int FETCH_DEVICES_FIELD_NUMBER

상수값: 7

공개 정적 최종 int FETCH_FIELD_NUMBER

상수값: 2

공개 정적 최종 int FETCH_SKIP_SYNC_FIELD_NUMBER

상수값: 8

공개 정적 최종 int RUN_OPTIONS_FIELD_NUMBER

상수값: 4

공개 정적 최종 int TARGET_FIELD_NUMBER

상수값: 3

공개 정적 최종 int TENSOR_CONNECTION_FIELD_NUMBER

상수값: 5

공개 방법

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 부울은 (객체 obj)와 같습니다 .

공개 정적 CallableOptions getDefaultInstance ()

공개 CallableOptions getDefaultInstanceForType ()

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

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;

공공의 getParserForType ()

공개 RunOptions getRunOptions ()

 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 int getSerializedSize ()

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 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 최종 com.google.protobuf.UnknownFieldSet getUnknownFields ()

공개 부울 hasRunOptions ()

 Options that will be applied to each run.
 

.tensorflow.RunOptions run_options = 4;

공개 int hashCode ()

공개 최종 부울 isInitialized ()

공개 정적 CallableOptions.Builder newBuilder ()

공개 정적 CallableOptions.Builder newBuilder ( CallableOptions 프로토타입)

공개 CallableOptions.Builder newBuilderForType ()

공개 정적 CallableOptions 구문 분석DelimitedFrom (InputStream 입력)

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공개 정적 CallableOptionsparseDelimitedFrom ( InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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공개 정적 CallableOptions parseFrom (ByteBuffer 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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공개 정적 CallableOptions 구문 분석 (com.google.protobuf.CodedInputStream 입력)

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공개 정적 CallableOptions 구문 분석 (byte[] 데이터, com.google.protobuf.ExtensionRegistryLite 확장Registry)

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공개 정적 CallableOptions 구문 분석 (ByteBuffer 데이터)

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공개 정적 CallableOptionsparseFrom ( com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite 확장Registry)

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공개 정적 CallableOptions 구문 분석 (com.google.protobuf.ByteString 데이터)

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공개 정적 CallableOptions 구문 분석 (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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공개 정적 CallableOptionsparseFrom ( com.google.protobuf.ByteString 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

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공개 정적 파서 ()

공개 CallableOptions.Builder toBuilder ()

공개 무효 writeTo (com.google.protobuf.CodedOutputStream 출력)

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