Execution.Builder

공개 정적 최종 클래스 Execution.Builder

 Data relating to the eager execution of an op or a Graph.
 For a op that generates N output tensors (N >= 0), only one
 Execution proto will be used to describe the execution event.
 

Protobuf 유형 tensorflow.Execution

공개 방법

실행.빌더	addAllInputTensorIds (Iterable<? 확장 Long> 값) IDs of the input tensors (if available).
실행.빌더	addAllOutputTensorDeviceIds (Iterable<? 확장 Integer> 값) Debugged-generated IDs of the devices on which the output tensors reside.
실행.빌더	addAllOutputTensorIds (Iterable<? 확장 Long> 값) IDs of the output tensors (if availbable).
실행.빌더	addAllTensorProtos (Iterable<? 확장 TensorProto > 값) Output Tensor values in the type described by `tensor_value_type`.
실행.빌더	addInputTensorIds (긴 값) IDs of the input tensors (if available).
실행.빌더	addOutputTensorDeviceIds (정수 값) Debugged-generated IDs of the devices on which the output tensors reside.
실행.빌더	addOutputTensorIds (긴 값) IDs of the output tensors (if availbable).
실행.빌더	addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값)
실행.빌더	addTensorProtos ( TensorProto 값) Output Tensor values in the type described by `tensor_value_type`.
실행.빌더	addTensorProtos ( TensorProto.Builder builderForValue) Output Tensor values in the type described by `tensor_value_type`.
실행.빌더	addTensorProtos (int 인덱스, TensorProto 값) Output Tensor values in the type described by `tensor_value_type`.
실행.빌더	addTensorProtos (int 인덱스, TensorProto.Builder builderForValue) Output Tensor values in the type described by `tensor_value_type`.
TensorProto.Builder	addTensorProtosBuilder () Output Tensor values in the type described by `tensor_value_type`.
TensorProto.Builder	addTensorProtosBuilder (정수 인덱스) Output Tensor values in the type described by `tensor_value_type`.
실행	짓다 ()
실행	빌드부분 ()
실행.빌더	분명한 ()
실행.빌더	클리어코드위치 () Stack trace of the eager execution.
실행.빌더	ClearField (com.google.protobuf.Descriptors.FieldDescriptor 필드)
실행.빌더	클리어그래프ID () The graph that's executed: applicable only to the eager execution of a FuncGraph.
실행.빌더	ClearInputTensorIds () IDs of the input tensors (if available).
실행.빌더	클리어Num출력 () Number of output tensors.
실행.빌더	ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
실행.빌더	클리어옵타입 () Op type (e.g., "MatMul").
실행.빌더	ClearOutputTensorDeviceIds () Debugged-generated IDs of the devices on which the output tensors reside.
실행.빌더	ClearOutputTensorIds () IDs of the output tensors (if availbable).
실행.빌더	클리어텐서디버그모드 () Type of the tensor value encapsulated in this proto.
실행.빌더	클리어텐서프로토스 () Output Tensor values in the type described by `tensor_value_type`.
실행.빌더	클론 ()
코드위치	getCodeLocation () Stack trace of the eager execution.
CodeLocation.Builder	getCodeLocationBuilder () Stack trace of the eager execution.
코드위치또는빌더	getCodeLocationOrBuilder () Stack trace of the eager execution.
실행	getDefaultInstanceForType ()
최종 정적 com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
끈	getGraphId () The graph that's executed: applicable only to the eager execution of a FuncGraph.
com.google.protobuf.ByteString	getGraphIdBytes () The graph that's executed: applicable only to the eager execution of a FuncGraph.
긴	getInputTensorIds (정수 인덱스) IDs of the input tensors (if available).
정수	getInputTensorIdsCount () IDs of the input tensors (if available).
목록<긴>	getInputTensorIdsList () IDs of the input tensors (if available).
정수	getNumOutputs () Number of output tensors.
끈	getOpType () Op type (e.g., "MatMul").
com.google.protobuf.ByteString	getOpTypeBytes () Op type (e.g., "MatMul").
정수	getOutputTensorDeviceIds (정수 인덱스) Debugged-generated IDs of the devices on which the output tensors reside.
정수	getOutputTensorDeviceIdsCount () Debugged-generated IDs of the devices on which the output tensors reside.
목록<정수>	getOutputTensorDeviceIdsList () Debugged-generated IDs of the devices on which the output tensors reside.
긴	getOutputTensorIds (정수 인덱스) IDs of the output tensors (if availbable).
정수	getOutputTensorIdsCount () IDs of the output tensors (if availbable).
목록<긴>	getOutputTensorIdsList () IDs of the output tensors (if availbable).
텐서디버그 모드	getTensorDebugMode () Type of the tensor value encapsulated in this proto.
정수	getTensorDebugModeValue () Type of the tensor value encapsulated in this proto.
텐서프로토	getTensorProtos (정수 인덱스) Output Tensor values in the type described by `tensor_value_type`.
TensorProto.Builder	getTensorProtosBuilder (정수 인덱스) Output Tensor values in the type described by `tensor_value_type`.
목록< TensorProto.Builder >	getTensorProtosBuilderList () Output Tensor values in the type described by `tensor_value_type`.
정수	getTensorProtosCount () Output Tensor values in the type described by `tensor_value_type`.
목록< TensorProto >	getTensorProtosList () Output Tensor values in the type described by `tensor_value_type`.
TensorProtoOrBuilder	getTensorProtosOrBuilder (정수 인덱스) Output Tensor values in the type described by `tensor_value_type`.
목록<? TensorProtoOrBuilder 확장 >	getTensorProtosOrBuilderList () Output Tensor values in the type described by `tensor_value_type`.
부울	해시코드위치 () Stack trace of the eager execution.
최종 부울	초기화됨 ()
실행.빌더	mergeCodeLocation ( CodeLocation 값) Stack trace of the eager execution.
실행.빌더	mergeFrom (com.google.protobuf.다른 메시지 보내기)
실행.빌더	mergeFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
최종 실행.빌더	mergeUnknownFields (com.google.protobuf.UnknownFieldSet 알려지지 않은Fields)
실행.빌더	RemoveTensorProtos (정수 인덱스) Output Tensor values in the type described by `tensor_value_type`.
실행.빌더	setCodeLocation ( CodeLocation 값) Stack trace of the eager execution.
실행.빌더	setCodeLocation ( CodeLocation.Builder builderForValue) Stack trace of the eager execution.
실행.빌더	setField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값)
실행.빌더	setGraphId (문자열 값) The graph that's executed: applicable only to the eager execution of a FuncGraph.
실행.빌더	setGraphIdBytes (com.google.protobuf.ByteString 값) The graph that's executed: applicable only to the eager execution of a FuncGraph.
실행.빌더	setInputTensorIds (int 인덱스, long 값) IDs of the input tensors (if available).
실행.빌더	setNumOutputs (정수 값) Number of output tensors.
실행.빌더	setOpType (문자열 값) Op type (e.g., "MatMul").
실행.빌더	setOpTypeBytes (com.google.protobuf.ByteString 값) Op type (e.g., "MatMul").
실행.빌더	setOutputTensorDeviceIds (int 인덱스, int 값) Debugged-generated IDs of the devices on which the output tensors reside.
실행.빌더	setOutputTensorIds (int 인덱스, long 값) IDs of the output tensors (if availbable).
실행.빌더	setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, int 인덱스, 개체 값)
실행.빌더	setTensorDebugMode ( TensorDebugMode 값) Type of the tensor value encapsulated in this proto.
실행.빌더	setTensorDebugModeValue (정수 값) Type of the tensor value encapsulated in this proto.
실행.빌더	setTensorProtos (int 인덱스, TensorProto 값) Output Tensor values in the type described by `tensor_value_type`.
실행.빌더	setTensorProtos (int 인덱스, TensorProto.Builder builderForValue) Output Tensor values in the type described by `tensor_value_type`.
최종 실행.빌더	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 ()

org.tensorflow.proto.util.ExecutionOrBuilder 인터페이스에서

추상 코드 위치	getCodeLocation () Stack trace of the eager execution.
추상 CodeLocationOrBuilder	getCodeLocationOrBuilder () Stack trace of the eager execution.
추상 문자열	getGraphId () The graph that's executed: applicable only to the eager execution of a FuncGraph.
추상 com.google.protobuf.ByteString	getGraphIdBytes () The graph that's executed: applicable only to the eager execution of a FuncGraph.
추상적인 긴	getInputTensorIds (정수 인덱스) IDs of the input tensors (if available).
추상 정수	getInputTensorIdsCount () IDs of the input tensors (if available).
추상 목록<긴>	getInputTensorIdsList () IDs of the input tensors (if available).
추상 정수	getNumOutputs () Number of output tensors.
추상 문자열	getOpType () Op type (e.g., "MatMul").
추상 com.google.protobuf.ByteString	getOpTypeBytes () Op type (e.g., "MatMul").
추상 정수	getOutputTensorDeviceIds (정수 인덱스) Debugged-generated IDs of the devices on which the output tensors reside.
추상 정수	getOutputTensorDeviceIdsCount () Debugged-generated IDs of the devices on which the output tensors reside.
추상 목록<정수>	getOutputTensorDeviceIdsList () Debugged-generated IDs of the devices on which the output tensors reside.
추상적인 긴	getOutputTensorIds (정수 인덱스) IDs of the output tensors (if availbable).
추상 정수	getOutputTensorIdsCount () IDs of the output tensors (if availbable).
추상 목록<긴>	getOutputTensorIdsList () IDs of the output tensors (if availbable).
추상 TensorDebugMode	getTensorDebugMode () Type of the tensor value encapsulated in this proto.
추상 정수	getTensorDebugModeValue () Type of the tensor value encapsulated in this proto.
추상 TensorProto	getTensorProtos (정수 인덱스) Output Tensor values in the type described by `tensor_value_type`.
추상 정수	getTensorProtosCount () Output Tensor values in the type described by `tensor_value_type`.
추상 목록< TensorProto >	getTensorProtosList () Output Tensor values in the type described by `tensor_value_type`.
추상 TensorProtoOrBuilder	getTensorProtosOrBuilder (정수 인덱스) Output Tensor values in the type described by `tensor_value_type`.
추상 목록<? TensorProtoOrBuilder 확장 >	getTensorProtosOrBuilderList () Output Tensor values in the type described by `tensor_value_type`.
추상 부울	해시코드위치 () Stack trace of the eager execution.

공개 방법

공개 실행.Builder addAllInputTensorIds (Iterable<? 확장 Long> 값)

 IDs of the input tensors (if available).
 

repeated int64 input_tensor_ids = 4;

공개 실행.빌더 addAllOutputTensorDeviceIds (Iterable<? 확장 정수> 값)

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 

repeated int32 output_tensor_device_ids = 9;

공개 실행.빌더 addAllOutputTensorIds (Iterable<? 확장 Long> 값)

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 

repeated int64 output_tensor_ids = 5;

public Execution.Builder addAllTensorProtos (Iterable<? 확장 TensorProto > 값)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 실행.Builder addInputTensorIds (긴 값)

 IDs of the input tensors (if available).
 

repeated int64 input_tensor_ids = 4;

공개 실행.Builder addOutputTensorDeviceIds (int 값)

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 

repeated int32 output_tensor_device_ids = 9;

공개 실행.Builder addOutputTensorIds (긴 값)

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 

repeated int64 output_tensor_ids = 5;

공개 Execution.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값)

공개 Execution.Builder addTensorProtos ( TensorProto 값)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 Execution.Builder addTensorProtos ( TensorProto.Builder builderForValue)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 실행.Builder addTensorProtos (int 인덱스, TensorProto 값)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 실행.Builder addTensorProtos (int 인덱스, TensorProto.Builder builderForValue)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 TensorProto.Builder addTensorProtosBuilder ()

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 TensorProto.Builder addTensorProtosBuilder (int 인덱스)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 실행 빌드 ()

공개 실행 buildPartial ()

공개 실행.빌더 지우기 ()

공개 실행.빌더 클리어코드 위치 ()

 Stack trace of the eager execution.
 

.tensorflow.CodeLocation code_location = 8;

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

공개 실행.빌더 ClearGraphId ()

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
 

string graph_id = 3;

공개 실행.빌더 ClearInputTensorIds ()

 IDs of the input tensors (if available).
 

repeated int64 input_tensor_ids = 4;

공개 실행.빌더 클리어NumOutputs ()

 Number of output tensors.
 

int32 num_outputs = 2;

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

공개 실행.빌더 클리어OpType ()

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
 

string op_type = 1;

공개 실행.빌더 ClearOutputTensorDeviceIds ()

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 

repeated int32 output_tensor_device_ids = 9;

공개 실행.빌더 ClearOutputTensorIds ()

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 

repeated int64 output_tensor_ids = 5;

공개 실행.빌더 클리어텐서디버그 모드 ()

 Type of the tensor value encapsulated in this proto.
 

.tensorflow.TensorDebugMode tensor_debug_mode = 6;

공개 실행. 빌더 클리어텐서프로토스 ()

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 실행.빌더 클론 ()

공개 CodeLocation getCodeLocation ()

 Stack trace of the eager execution.
 

.tensorflow.CodeLocation code_location = 8;

공개 CodeLocation.Builder getCodeLocationBuilder ()

 Stack trace of the eager execution.
 

.tensorflow.CodeLocation code_location = 8;

공개 CodeLocationOrBuilder getCodeLocationOrBuilder ()

 Stack trace of the eager execution.
 

.tensorflow.CodeLocation code_location = 8;

공개 실행 getDefaultInstanceForType ()

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

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

공개 문자열 getGraphId ()

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
 

string graph_id = 3;

공개 com.google.protobuf.ByteString getGraphIdBytes ()

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
 

string graph_id = 3;

공개 긴 getInputTensorIds (int 인덱스)

 IDs of the input tensors (if available).
 

repeated int64 input_tensor_ids = 4;

공개 int getInputTensorIdsCount ()

 IDs of the input tensors (if available).
 

repeated int64 input_tensor_ids = 4;

공개 목록<Long> getInputTensorIdsList ()

 IDs of the input tensors (if available).
 

repeated int64 input_tensor_ids = 4;

공개 int getNumOutputs ()

 Number of output tensors.
 

int32 num_outputs = 2;

공개 문자열 getOpType ()

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
 

string op_type = 1;

공개 com.google.protobuf.ByteString getOpTypeBytes ()

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
 

string op_type = 1;

공개 int getOutputTensorDeviceIds (int 인덱스)

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 

repeated int32 output_tensor_device_ids = 9;

공개 int getOutputTensorDeviceIdsCount ()

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 

repeated int32 output_tensor_device_ids = 9;

공개 목록<정수> getOutputTensorDeviceIdsList ()

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 

repeated int32 output_tensor_device_ids = 9;

공개 긴 getOutputTensorIds (int 인덱스)

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 

repeated int64 output_tensor_ids = 5;

공개 int getOutputTensorIdsCount ()

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 

repeated int64 output_tensor_ids = 5;

공개 목록<Long> getOutputTensorIdsList ()

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 

repeated int64 output_tensor_ids = 5;

공개 TensorDebugMode getTensorDebugMode ()

 Type of the tensor value encapsulated in this proto.
 

.tensorflow.TensorDebugMode tensor_debug_mode = 6;

공개 int getTensorDebugModeValue ()

 Type of the tensor value encapsulated in this proto.
 

.tensorflow.TensorDebugMode tensor_debug_mode = 6;

공개 TensorProto getTensorProtos (int 인덱스)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 TensorProto.Builder getTensorProtosBuilder (int 인덱스)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 목록< TensorProto.Builder > getTensorProtosBuilderList ()

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 int getTensorProtosCount ()

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 목록< TensorProto > getTensorProtosList ()

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 TensorProtoOrBuilder getTensorProtosOrBuilder (int 인덱스)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 목록<? TensorProtoOrBuilder > getTensorProtosOrBuilderList ()를 확장합니다.

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 부울 hasCodeLocation ()

 Stack trace of the eager execution.
 

.tensorflow.CodeLocation code_location = 8;

공개 최종 부울 isInitialized ()

공개 Execution.Builder mergeCodeLocation ( CodeLocation 값)

 Stack trace of the eager execution.
 

.tensorflow.CodeLocation code_location = 8;

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

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

던지기

IO예외

공개 최종 실행.빌더 mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

공개 실행.빌더 제거TensorProtos (int 인덱스)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 Execution.Builder setCodeLocation ( CodeLocation 값)

 Stack trace of the eager execution.
 

.tensorflow.CodeLocation code_location = 8;

공개 Execution.Builder setCodeLocation ( CodeLocation.Builder builderForValue)

 Stack trace of the eager execution.
 

.tensorflow.CodeLocation code_location = 8;

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

공개 실행.Builder setGraphId (문자열 값)

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
 

string graph_id = 3;

공개 Execution.Builder setGraphIdBytes (com.google.protobuf.ByteString 값)

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
 

string graph_id = 3;

공개 Execution.Builder setInputTensorIds (int 인덱스, long 값)

 IDs of the input tensors (if available).
 

repeated int64 input_tensor_ids = 4;

공개 실행.Builder setNumOutputs (int 값)

 Number of output tensors.
 

int32 num_outputs = 2;

공개 실행.Builder setOpType (문자열 값)

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
 

string op_type = 1;

공개 실행.Builder setOpTypeBytes (com.google.protobuf.ByteString 값)

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
 

string op_type = 1;

공개 실행.Builder setOutputTensorDeviceIds (int 인덱스, int 값)

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 

repeated int32 output_tensor_device_ids = 9;

공개 Execution.Builder setOutputTensorIds (int 인덱스, long 값)

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 

repeated int64 output_tensor_ids = 5;

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

공개 Execution.Builder setTensorDebugMode ( TensorDebugMode 값)

 Type of the tensor value encapsulated in this proto.
 

.tensorflow.TensorDebugMode tensor_debug_mode = 6;

공개 실행.Builder setTensorDebugModeValue (int 값)

 Type of the tensor value encapsulated in this proto.
 

.tensorflow.TensorDebugMode tensor_debug_mode = 6;

공개 실행.빌더 setTensorProtos (int 인덱스, TensorProto 값)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

공개 Execution.Builder setTensorProtos (int 인덱스, TensorProto.Builder builderForValue)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 

repeated .tensorflow.TensorProto tensor_protos = 7;

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