TensorProto.Builder

공개 정적 최종 클래스 TensorProto.Builder

 Protocol buffer representing a tensor.
Protobuf 유형 tensorflow.TensorProto

공개 방법

TensorProto.Builder
addAllBoolVal (Iterable<? 확장 Boolean> 값)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addAllDcomplexVal (Iterable<? 확장 Double> 값)
 DT_COMPLEX128.
TensorProto.Builder
addAllDoubleVal (Iterable<? 확장 Double> 값)
 DT_DOUBLE.
TensorProto.Builder
addAllFloatVal (Iterable<? 확장 Float> 값)
 DT_FLOAT.
TensorProto.Builder
addAllHalfVal (반복 가능<? 확장 정수> 값)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addAllInt64Val (Iterable<? 확장 Long> 값)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addAllIntVal (Iterable<? 확장 정수> 값)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addAllResourceHandleVal (Iterable<? 확장 ResourceHandleProto > 값)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addAllScomplexVal (Iterable<? 확장 Float> 값)
 DT_COMPLEX64.
TensorProto.Builder
addAllStringVal (Iterable<? 확장 ByteString> 값)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addAllUint32Val (반복 가능<? 확장 정수> 값)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addAllUint64Val (Iterable<? 확장 Long> 값)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addAllVariantVal (Iterable<? 확장 VariantTensorDataProto > 값)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addBoolVal (부울 값)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addDcomplexVal (이중 값)
 DT_COMPLEX128.
TensorProto.Builder
addDoubleVal (이중 값)
 DT_DOUBLE.
TensorProto.Builder
addFloatVal (부동 소수점 값)
 DT_FLOAT.
TensorProto.Builder
addHalfVal (정수 값)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addInt64Val (긴 값)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addIntVal (정수 값)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값)
TensorProto.Builder
addResourceHandleVal (int 인덱스, ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal (int 인덱스, ResourceHandleProto 값)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal ( ResourceHandleProto 값)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal ( ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
addResourceHandleValBuilder (정수 인덱스)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
addResourceHandleValBuilder ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addScomplexVal (부동 소수점 값)
 DT_COMPLEX64.
TensorProto.Builder
addStringVal (com.google.protobuf.ByteString 값)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addUint32Val (정수 값)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addUint64Val (긴 값)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addVariantVal ( VariantTensorDataProto 값)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (int 인덱스, VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (int 인덱스, VariantTensorDataProto 값)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal ( VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
addVariantValBuilder (int 인덱스)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
addVariantValBuilder ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
텐서프로토
짓다 ()
텐서프로토
빌드부분 ()
TensorProto.Builder
분명한 ()
TensorProto.Builder
클리어BoolVal ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
클리어D복합발 ()
 DT_COMPLEX128.
TensorProto.Builder
클리어더블발 ()
 DT_DOUBLE.
TensorProto.Builder
클리어D타입 ()
.tensorflow.DataType dtype = 1;
TensorProto.Builder
ClearField (com.google.protobuf.Descriptors.FieldDescriptor 필드)
TensorProto.Builder
클리어플로트발 ()
 DT_FLOAT.
TensorProto.Builder
클리어하프발 ()
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
클리어Int64Val ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
클리어IntVal ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
TensorProto.Builder
클리어리소스핸들발 ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
클리어ScomplexVal ()
 DT_COMPLEX64.
TensorProto.Builder
클리어스트링발 ()
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
클리어텐서컨텐트 ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
클리어텐서셰이프 ()
 Shape of the tensor.
TensorProto.Builder
클리어Uint32Val ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
클리어Uint64Val ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
클리어VariantVal ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
클리어버전번호 ()
 Version number.
TensorProto.Builder
클론 ()
부울
getBoolVal (정수 인덱스)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
정수
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
목록<부울>
getBoolValList ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
더블
getDcomplexVal (정수 인덱스)
 DT_COMPLEX128.
정수
getDcomplexValCount ()
 DT_COMPLEX128.
목록<더블>
getDcomplexValList ()
 DT_COMPLEX128.
텐서프로토
getDefaultInstanceForType ()
최종 정적 com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
더블
getDoubleVal (정수 인덱스)
 DT_DOUBLE.
정수
getDoubleValCount ()
 DT_DOUBLE.
목록<더블>
getDoubleValList ()
 DT_DOUBLE.
데이터 형식
getD유형 ()
.tensorflow.DataType dtype = 1;
정수
getDtype값 ()
.tensorflow.DataType dtype = 1;
뜨다
getFloatVal (정수 인덱스)
 DT_FLOAT.
정수
getFloatValCount ()
 DT_FLOAT.
목록<플로트>
getFloatValList ()
 DT_FLOAT.
정수
getHalfVal (정수 인덱스)
 DT_HALF, DT_BFLOAT16.
정수
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
목록<정수>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
긴
getInt64Val (정수 인덱스)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
정수
getInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
목록<긴>
getInt64ValList ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
정수
getIntVal (정수 인덱스)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
정수
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
목록<정수>
getIntValList ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
리소스핸들프로토
getResourceHandleVal (정수 인덱스)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
getResourceHandleValBuilder (정수 인덱스)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
목록< ResourceHandleProto.Builder >
getResourceHandleValBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
정수
getResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
목록< ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (정수 인덱스)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
목록<? ResourceHandleProtoOrBuilder 확장 >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
뜨다
getScomplexVal (정수 인덱스)
 DT_COMPLEX64.
정수
getScomplexValCount ()
 DT_COMPLEX64.
목록<플로트>
getScomplexValList ()
 DT_COMPLEX64.
com.google.protobuf.ByteString
getStringVal (정수 인덱스)
 DT_STRING
repeated bytes string_val = 8;
정수
getStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
목록<바이트 문자열>
getStringValList ()
 DT_STRING
repeated bytes string_val = 8;
com.google.protobuf.ByteString
getTensor콘텐츠 ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorShapeProto
getTensorShape ()
 Shape of the tensor.
TensorShapeProto.Builder
getTensorShapeBuilder ()
 Shape of the tensor.
TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 Shape of the tensor.
정수
getUint32Val (정수 인덱스)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
정수
getUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
목록<정수>
getUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
긴
getUint64Val (정수 인덱스)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
정수
getUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
목록<긴>
getUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
VariantTensorDataProto
getVariantVal (정수 인덱스)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
getVariantValBuilder (정수 인덱스)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
목록< VariantTensorDataProto.Builder >
getVariantValBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
정수
getVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
목록< VariantTensorDataProto >
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (정수 인덱스)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
목록<? VariantTensorDataProtoOrBuilder 확장 >
getVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
정수
getVersionNumber ()
 Version number.
부울
hasTensorShape ()
 Shape of the tensor.
최종 부울
초기화됨 ()
TensorProto.Builder
mergeFrom (com.google.protobuf.다른 메시지 보내기)
TensorProto.Builder
mergeFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
TensorProto.Builder
mergeTensorShape ( TensorShapeProto 값)
 Shape of the tensor.
최종 TensorProto.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet 알려지지 않은Fields)
TensorProto.Builder
RemoveResourceHandleVal (정수 인덱스)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
RemoveVariantVal (int 인덱스)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setBoolVal (int 인덱스, 부울 값)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
setDcomplexVal (int 인덱스, double 값)
 DT_COMPLEX128.
TensorProto.Builder
setDoubleVal (int 인덱스, double 값)
 DT_DOUBLE.
TensorProto.Builder
setDtype ( DataType 값)
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setDtypeValue (정수 값)
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값)
TensorProto.Builder
setFloatVal (int 인덱스, float 값)
 DT_FLOAT.
TensorProto.Builder
setHalfVal (int 인덱스, int 값)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
setInt64Val (int 인덱스, long 값)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
setIntVal (int 인덱스, int 값)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, int 인덱스, 개체 값)
TensorProto.Builder
setResourceHandleVal (int 인덱스, ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setResourceHandleVal (int 인덱스, ResourceHandleProto 값)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setScomplexVal (int 인덱스, float 값)
 DT_COMPLEX64.
TensorProto.Builder
setStringVal (int 인덱스, com.google.protobuf.ByteString 값)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
setTensorContent (com.google.protobuf.ByteString 값)
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
setTensorShape ( TensorShapeProto 값)
 Shape of the tensor.
TensorProto.Builder
setTensorShape ( TensorShapeProto.Builder builderForValue)
 Shape of the tensor.
TensorProto.Builder
setUint32Val (int 인덱스, int 값)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
setUint64Val (int 인덱스, long 값)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
최종 TensorProto.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
TensorProto.Builder
setVariantVal (int 인덱스, VariantTensorDataProto 값)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVariantVal (int 인덱스, VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVersionNumber (정수 값)
 Version number.

상속된 메서드

공개 방법

공개 TensorProto.Builder addAllBoolVal (Iterable<? 확장 Boolean> 값) 

 DT_BOOL
repeated bool bool_val = 11 [packed = true];

공개 TensorProto.Builder addAllDcomplexVal (Iterable<? 확장 Double> 값) 

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];

공개 TensorProto.Builder addAllDoubleVal (Iterable<? 확장 Double> 값) 

 DT_DOUBLE.
repeated double double_val = 6 [packed = true];

공개 TensorProto.Builder addAllFloatVal (Iterable<? 확장 Float> 값) 

 DT_FLOAT.
repeated float float_val = 5 [packed = true];

공개 TensorProto.Builder addAllHalfVal (Iterable<? 확장 Integer> 값) 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

공개 TensorProto.Builder addAllInt64Val (Iterable<? 확장 Long> 값) 

 DT_INT64
repeated int64 int64_val = 10 [packed = true];

공개 TensorProto.Builder addAllIntVal (Iterable<? 확장 Integer> 값) 

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];

공개 TensorProto.Builder addAllResourceHandleVal (Iterable<? 확장 ResourceHandleProto > 값) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 TensorProto.Builder addAllScomplexVal (Iterable<? 확장 Float> 값) 

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];

공개 TensorProto.Builder addAllStringVal (Iterable<? 확장 ByteString> 값) 

 DT_STRING
repeated bytes string_val = 8;

공개 TensorProto.Builder addAllUint32Val (Iterable<? 확장 Integer> 값) 

 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];

공개 TensorProto.Builder addAllUint64Val (Iterable<? 확장 Long> 값) 

 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];

공개 TensorProto.Builder addAllVariantVal (Iterable<? 확장 VariantTensorDataProto > 값) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 TensorProto.Builder addBoolVal (부울 값) 

 DT_BOOL
repeated bool bool_val = 11 [packed = true];

공개 TensorProto.Builder addDcomplexVal (이중 값) 

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];

공개 TensorProto.Builder addDoubleVal (이중 값) 

 DT_DOUBLE.
repeated double double_val = 6 [packed = true];

공개 TensorProto.Builder addFloatVal (부동 소수점 값) 

 DT_FLOAT.
repeated float float_val = 5 [packed = true];

공개 TensorProto.Builder addHalfVal (int 값) 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

공개 TensorProto.Builder addInt64Val (긴 값) 

 DT_INT64
repeated int64 int64_val = 10 [packed = true];

공개 TensorProto.Builder addIntVal (int 값) 

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];

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

공개 TensorProto.Builder addResourceHandleVal (int 인덱스, ResourceHandleProto.Builder builderForValue) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 TensorProto.Builder addResourceHandleVal (int 인덱스, ResourceHandleProto 값) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 TensorProto.Builder addResourceHandleVal ( ResourceHandleProto 값) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 TensorProto.Builder addResourceHandleVal ( ResourceHandleProto.Builder builderForValue) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 ResourceHandleProto.Builder addResourceHandleValBuilder (int 인덱스) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 ResourceHandleProto.Builder addResourceHandleValBuilder () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 TensorProto.Builder addScomplexVal (부동 소수점 값) 

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];

공개 TensorProto.Builder addStringVal (com.google.protobuf.ByteString 값) 

 DT_STRING
repeated bytes string_val = 8;

공개 TensorProto.Builder addUint32Val (int 값) 

 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];

공개 TensorProto.Builder addUint64Val (긴 값) 

 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];

공개 TensorProto.Builder addVariantVal ( VariantTensorDataProto 값) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 TensorProto.Builder addVariantVal (int 인덱스, VariantTensorDataProto.Builder builderForValue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 TensorProto.Builder addVariantVal (int 인덱스, VariantTensorDataProto 값) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 TensorProto.Builder addVariantVal ( VariantTensorDataProto.Builder builderForValue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 VariantTensorDataProto.Builder addVariantValBuilder (int 인덱스) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 VariantTensorDataProto.Builder addVariantValBuilder () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 TensorProto 빌드 ()

공개 TensorProto 빌드Partial ()

공개 TensorProto.Builder 지우기 ()

공개 TensorProto.BuilderclearBoolVal ( ) 

 DT_BOOL
repeated bool bool_val = 11 [packed = true];

공개 TensorProto.BuilderclearDcomplexVal ( ) 

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];

공개 TensorProto.BuilderclearDoubleVal ( ) 

 DT_DOUBLE.
repeated double double_val = 6 [packed = true];

공개 TensorProto.BuilderclearDtype ( )

.tensorflow.DataType dtype = 1;

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

공개 TensorProto.Builder ClearFloatVal () 

 DT_FLOAT.
repeated float float_val = 5 [packed = true];

공개 TensorProto.Builder ClearHalfVal () 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

공개 TensorProto.BuilderclearInt64Val ( ) 

 DT_INT64
repeated int64 int64_val = 10 [packed = true];

공개 TensorProto.BuilderclearIntVal ( ) 

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];

공개 TensorProto.BuilderclearOneof ( com.google.protobuf.Descriptors.OneofDescriptoroneof)

공개 TensorProto.Builder ClearResourceHandleVal () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 TensorProto.Builder ClearScomplexVal () 

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];

공개 TensorProto.Builder ClearStringVal () 

 DT_STRING
repeated bytes string_val = 8;

공개 TensorProto.BuilderclearTensorContent ( ) 

 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation
 can be used for all tensor types. The purpose of this representation is to
 reduce serialization overhead during RPC call by avoiding serialization of
 many repeated small items.
bytes tensor_content = 4;

공개 TensorProto.Builder ClearTensorShape () 

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;

공개 TensorProto.BuilderclearUint32Val ( ) 

 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];

공개 TensorProto.BuilderclearUint64Val ( ) 

 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];

공개 TensorProto.BuilderclearVariantVal ( ) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 TensorProto.Builder ClearVersionNumber () 

 Version number.
 In version 0, if the "repeated xxx" representations contain only one
 element, that element is repeated to fill the shape.  This makes it easy
 to represent a constant Tensor with a single value.
int32 version_number = 3;

공개 TensorProto.Builder 클론 ()

공개 부울 getBoolVal (int 인덱스) 

 DT_BOOL
repeated bool bool_val = 11 [packed = true];

공개 int getBoolValCount () 

 DT_BOOL
repeated bool bool_val = 11 [packed = true];

공개 목록<Boolean> getBoolValList () 

 DT_BOOL
repeated bool bool_val = 11 [packed = true];

공개 이중 getDcomplexVal (int 인덱스) 

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];

공개 int getDcomplexValCount () 

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];

공개 목록<Double> getDcomplexValList () 

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];

공개 TensorProto getDefaultInstanceForType ()

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

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

공개 더블 getDoubleVal (int 인덱스) 

 DT_DOUBLE.
repeated double double_val = 6 [packed = true];

공개 int getDoubleValCount () 

 DT_DOUBLE.
repeated double double_val = 6 [packed = true];

공개 목록<Double> getDoubleValList () 

 DT_DOUBLE.
repeated double double_val = 6 [packed = true];

공개 데이터 유형 getDtype ()

.tensorflow.DataType dtype = 1;

공개 int getDtypeValue ()

.tensorflow.DataType dtype = 1;

공개 부동 getFloatVal (정수 인덱스) 

 DT_FLOAT.
repeated float float_val = 5 [packed = true];

공개 int getFloatValCount () 

 DT_FLOAT.
repeated float float_val = 5 [packed = true];

공개 목록<Float> getFloatValList () 

 DT_FLOAT.
repeated float float_val = 5 [packed = true];

공개 int getHalfVal (int 인덱스) 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

공개 int getHalfValCount () 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

공개 목록<Integer> getHalfValList () 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

공개 긴 getInt64Val (int 인덱스) 

 DT_INT64
repeated int64 int64_val = 10 [packed = true];

공개 int getInt64ValCount () 

 DT_INT64
repeated int64 int64_val = 10 [packed = true];

공개 목록<Long> getInt64ValList () 

 DT_INT64
repeated int64 int64_val = 10 [packed = true];

공개 int getIntVal (int 인덱스) 

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];

공개 int getIntValCount () 

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];

공개 목록<정수> getIntValList () 

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];

공개 ResourceHandleProto getResourceHandleVal (int 인덱스) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 ResourceHandleProto.Builder getResourceHandleValBuilder (int 인덱스) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 목록< ResourceHandleProto.Builder > getResourceHandleValBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 int getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 목록< ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (int 인덱스) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 목록<? ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () 를 확장합니다. 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 부동 getScomplexVal (정수 인덱스) 

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];

공개 int getScomplexValCount () 

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];

공개 목록<Float> getScomplexValList () 

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];

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

 DT_STRING
repeated bytes string_val = 8;

공개 int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

공개 목록<ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

공개 com.google.protobuf.ByteString getTensorContent () 

 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation
 can be used for all tensor types. The purpose of this representation is to
 reduce serialization overhead during RPC call by avoiding serialization of
 many repeated small items.
bytes tensor_content = 4;

공개 TensorShapeProto getTensorShape () 

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;

공개 TensorShapeProto.Builder getTensorShapeBuilder () 

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;

공개 TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;

공개 int getUint32Val (int 인덱스) 

 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];

공개 int getUint32ValCount () 

 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];

공개 목록<정수> getUint32ValList () 

 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];

공개 긴 getUint64Val (int 인덱스) 

 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];

공개 int getUint64ValCount () 

 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];

공개 목록<Long> getUint64ValList () 

 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];

공개 VariantTensorDataProto getVariantVal (int 인덱스) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 VariantTensorDataProto.Builder getVariantValBuilder (int 인덱스) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 목록< VariantTensorDataProto.Builder > getVariantValBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 목록< VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 VariantTensorDataProtoOrBuilder getVariantValOrBuilder (int 인덱스) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 목록<? VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () 를 확장합니다. 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 int getVersionNumber () 

 Version number.
 In version 0, if the "repeated xxx" representations contain only one
 element, that element is repeated to fill the shape.  This makes it easy
 to represent a constant Tensor with a single value.
int32 version_number = 3;

공개 부울 hasTensorShape () 

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;

공개 최종 부울 isInitialized ()

공개 TensorProto.Builder mergeFrom (com.google.protobuf.기타 메시지)

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

던지기
IO예외

공개 TensorProto.Builder mergeTensorShape ( TensorShapeProto 값) 

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;

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

공개 TensorProto.Builder RemoveResourceHandleVal (int 인덱스) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 TensorProto.Builder RemoveVariantVal (int 인덱스) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 TensorProto.Builder setBoolVal (int 인덱스, 부울 값) 

 DT_BOOL
repeated bool bool_val = 11 [packed = true];

공개 TensorProto.Builder setDcomplexVal (int 인덱스, 이중 값) 

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];

공개 TensorProto.Builder setDoubleVal (int 인덱스, double 값) 

 DT_DOUBLE.
repeated double double_val = 6 [packed = true];

공개 TensorProto.Builder setDtype ( DataType 값)

.tensorflow.DataType dtype = 1;

공개 TensorProto.Builder setDtypeValue (int 값)

.tensorflow.DataType dtype = 1;

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

공개 TensorProto.Builder setFloatVal (int 인덱스, float 값) 

 DT_FLOAT.
repeated float float_val = 5 [packed = true];

공개 TensorProto.Builder setHalfVal (int 인덱스, int 값) 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

공개 TensorProto.Builder setInt64Val (int 인덱스, long 값) 

 DT_INT64
repeated int64 int64_val = 10 [packed = true];

공개 TensorProto.Builder setIntVal (int 인덱스, int 값) 

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];

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

공개 TensorProto.Builder setResourceHandleVal (int 인덱스, ResourceHandleProto.Builder builderForValue) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 TensorProto.Builder setResourceHandleVal (int 인덱스, ResourceHandleProto 값) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

공개 TensorProto.Builder setScomplexVal (int 인덱스, float 값) 

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];

공개 TensorProto.Builder setStringVal (int 인덱스, com.google.protobuf.ByteString 값) 

 DT_STRING
repeated bytes string_val = 8;

공개 TensorProto.Builder setTensorContent (com.google.protobuf.ByteString 값) 

 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation
 can be used for all tensor types. The purpose of this representation is to
 reduce serialization overhead during RPC call by avoiding serialization of
 many repeated small items.
bytes tensor_content = 4;

공개 TensorProto.Builder setTensorShape ( TensorShapeProto 값) 

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;

공개 TensorProto.Builder setTensorShape ( TensorShapeProto.Builder builderForValue) 

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;

공개 TensorProto.Builder setUint32Val (int 인덱스, int 값) 

 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];

공개 TensorProto.Builder setUint64Val (int 인덱스, long 값) 

 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];

공개 최종 TensorProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)

공개 TensorProto.Builder setVariantVal (int 인덱스, VariantTensorDataProto 값) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 TensorProto.Builder setVariantVal (int 인덱스, VariantTensorDataProto.Builder builderForValue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

공개 TensorProto.Builder setVersionNumber (int 값) 

 Version number.
 In version 0, if the "repeated xxx" representations contain only one
 element, that element is repeated to fill the shape.  This makes it easy
 to represent a constant Tensor with a single value.
int32 version_number = 3;