TensorProto.Builder

パブリック静的最終クラスTensorProto.Builder

 Protocol buffer representing a tensor.
Protobuf 型tensorflow.TensorProto

パブリックメソッド

TensorProto.Builder
addAllBoolVal (Iterable<? extends Boolean> 値)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addAllDcomplexVal (Iterable<? extends Double> 値)
 DT_COMPLEX128.
TensorProto.Builder
addAllDoubleVal (Iterable<? extends Double> 値)
 DT_DOUBLE.
TensorProto.Builder
addAllFloatVal (Iterable<? extends Float> 値)
 DT_FLOAT.
TensorProto.Builder
addAllHalfVal (Iterable<? extends Integer> 値)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addAllInt64Val (Iterable<? extends Long> 値)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addAllIntVal (Iterable<? extends Integer> 値)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addAllResourceHandleVal (Iterable<? extends ResourceHandleProto > 値)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addAllScomplexVal (Iterable<? extends Float> 値)
 DT_COMPLEX64.
TensorProto.Builder
addAllStringVal (Iterable<? extends ByteString> 値)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addAllUint32Val (Iterable<? extends Integer> 値)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addAllUint64Val (Iterable<? extends Long> 値)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addAllVariantVal (Iterable<? extends VariantTensorDataProto > 値)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addBoolVal (ブール値)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addDcomplexVal (倍精度値)
 DT_COMPLEX128.
TensorProto.Builder
addDoubleVal (倍精度値)
 DT_DOUBLE.
TensorProto.Builder
addFloatVal (浮動小数点値)
 DT_FLOAT.
TensorProto.Builder
addHalfVal (int 値)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addInt64Val (長い値)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addIntVal (int 値)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、オブジェクト値)
TensorProto.Builder
addResourceHandleVal (int インデックス、 ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal (int インデックス、 ResourceHandleProto値)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal ( ResourceHandleProto値)
 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 (int インデックス)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
addResourceHandleValBuilder ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addScomplexVal (浮動小数点値)
 DT_COMPLEX64.
TensorProto.Builder
addStringVal (com.google.protobuf.ByteString 値)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addUint32Val (int 値)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addUint64Val (長い値)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addVariantVal ( VariantTensorDataProto値)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (int インデックス、 VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (int インデックス、 VariantTensorDataProto値)
 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 インデックス)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
addValiantValBuilder ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
テンソルプロト
建てる（）
テンソルプロト
buildPartial ()
TensorProto.Builder
クリア（）
TensorProto.Builder
クリアブール値()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
クリアDcomplexVal ()
 DT_COMPLEX128.
TensorProto.Builder
クリアダブルヴァル()
 DT_DOUBLE.
TensorProto.Builder
クリアDtype ()
.tensorflow.DataType dtype = 1;
TensorProto.Builder
clearField (com.google.protobuf.Descriptors.FieldDescriptor フィールド)
TensorProto.Builder
ClearFloatVal ()
 DT_FLOAT.
TensorProto.Builder
クリアハーフヴァル()
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
clearInt64Val ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
clearIntVal ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
TensorProto.Builder
ClearResourceHandleVal ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
ClearScomplexVal ()
 DT_COMPLEX64.
TensorProto.Builder
クリアストリングヴァル()
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
clearTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
クリアTensorShape ()
 Shape of the tensor.
TensorProto.Builder
ClearUint32Val ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
clearUint64Val ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
ClearVariantVal ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
clearVersionNumber ()
 Version number.
TensorProto.Builder
クローン()
ブール値
getBoolVal (int インデックス)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
整数
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
リスト<ブール値>
getBoolValList ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
ダブル
getDcomplexVal (int インデックス)
 DT_COMPLEX128.
整数
getDcomplexValCount ()
 DT_COMPLEX128.
リスト<Double>
getDcomplexValList ()
 DT_COMPLEX128.
テンソルプロト
getDefaultInstanceForType ()
最終的な静的 com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
ダブル
getDoubleVal (int インデックス)
 DT_DOUBLE.
整数
getDoubleValCount ()
 DT_DOUBLE.
リスト<Double>
getDoubleValList ()
 DT_DOUBLE.
データ・タイプ
getDtype ()
.tensorflow.DataType dtype = 1;
整数
getDtypeValue ()
.tensorflow.DataType dtype = 1;
浮く
getFloatVal (int インデックス)
 DT_FLOAT.
整数
getFloatValCount ()
 DT_FLOAT.
リスト<浮動小数点数>
getFloatValList ()
 DT_FLOAT.
整数
getHalfVal (int インデックス)
 DT_HALF, DT_BFLOAT16.
整数
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
リスト<整数>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
長さ
getInt64Val (int インデックス)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
整数
getInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
リスト<長い>
getInt64ValList ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
整数
getIntVal (int インデックス)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
整数
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
リスト<整数>
getIntValList ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
リソースハンドルプロト
getResourceHandleVal (int インデックス)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
getResourceHandleValBuilder (int インデックス)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
リスト< ResourceHandleProto.Builder >
getResourceHandleValBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
整数
getResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
リスト< ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
リソースハンドルプロトまたはビルダー
getResourceHandleValOrBuilder (int インデックス)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
リスト<? ResourceHandleProtoOrBuilderを拡張 >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
浮く
getScomplexVal (int インデックス)
 DT_COMPLEX64.
整数
getScomplexValCount ()
 DT_COMPLEX64.
リスト<浮動小数点数>
getScomplexValList ()
 DT_COMPLEX64.
com.google.protobuf.ByteString
getStringVal (int インデックス)
 DT_STRING
repeated bytes string_val = 8;
整数
getStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
リスト<バイト文字列>
getStringValList ()
 DT_STRING
repeated bytes string_val = 8;
com.google.protobuf.ByteString
getTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
テンソル形状プロト
getTensorShape ()
 Shape of the tensor.
TensorShapeProto.Builder
getTensorShapeBuilder ()
 Shape of the tensor.
TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 Shape of the tensor.
整数
getUint32Val (int インデックス)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
整数
getUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
リスト<整数>
getUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
長さ
getUint64Val (int インデックス)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
整数
getUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
リスト<長い>
getUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
VariantTensorDataProto
getVariantVal (int インデックス)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
getVariantValBuilder (int インデックス)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
リスト< VariantTensorDataProto.Builder >
getValiantValBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
整数
getVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
List< VariantTensorDataProto >
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (int インデックス)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
リスト<? VariantTensorDataProtoOrBuilderを拡張 >
getVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
整数
getVersionNumber ()
 Version number.
ブール値
hasTensorShape ()
 Shape of the tensor.
最終ブール値
isInitialized ()
TensorProto.Builder
mergeFrom (com.google.protobuf.Message other)
TensorProto.Builder
mergeFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto.Builder
mergeTensorShape ( TensorShapeProto値)
 Shape of the tensor.
最終的なTensorProto.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet 不明フィールド)
TensorProto.Builder
RemoveResourceHandleVal (int インデックス)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
RemoveVariantVal (int インデックス)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setBoolVal (int インデックス、ブール値)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
setDcomplexVal (int インデックス、double 値)
 DT_COMPLEX128.
TensorProto.Builder
setDoubleVal (int インデックス、double 値)
 DT_DOUBLE.
TensorProto.Builder
setDtype ( DataType値)
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setDtypeValue (int 値)
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、オブジェクト値)
TensorProto.Builder
setFloatVal (int インデックス、float 値)
 DT_FLOAT.
TensorProto.Builder
setHalfVal (int インデックス、int 値)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
setInt64Val (int インデックス、long 値)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
setIntVal (int インデックス、int 値)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、int インデックス、オブジェクト値)
TensorProto.Builder
setResourceHandleVal (int インデックス、 ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setResourceHandleVal (int インデックス、 ResourceHandleProto値)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setScomplexVal (int インデックス、float 値)
 DT_COMPLEX64.
TensorProto.Builder
setStringVal (int インデックス、com.google.protobuf.ByteString 値)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
setTensorContent (com.google.protobuf.ByteString 値)
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
setTensorShape ( TensorShapeProto値)
 Shape of the tensor.
TensorProto.Builder
setTensorShape ( TensorShapeProto.Builder builderForValue)
 Shape of the tensor.
TensorProto.Builder
setUint32Val (int インデックス、int 値)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
setUint64Val (int インデックス、long 値)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
最終的なTensorProto.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
TensorProto.Builder
setVariantVal (int インデックス、 VariantTensorDataProto値)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVariantVal (int インデックス、 VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVersionNumber (int 値)
 Version number.

継承されたメソッド

パブリックメソッド

public TensorProto.Builder addAllBoolVal (Iterable<? extends Boolean> 値) 

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

public TensorProto.Builder addAllDcomplexVal (Iterable<? extends Double> 値) 

 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];

public TensorProto.Builder addAllDoubleVal (Iterable<? extends Double> 値) 

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

public TensorProto.Builder addAllFloatVal (Iterable<? extends Float> 値) 

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

public TensorProto.Builder addAllHalfVal (Iterable<? extends Integer> 値) 

 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];

public TensorProto.Builder addAllInt64Val (Iterable<? extends Long> 値) 

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

public TensorProto.Builder addAllIntVal (Iterable<? extends Integer> 値) 

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

public TensorProto.Builder addAllResourceHandleVal (Iterable<? extends ResourceHandleProto > 値) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addAllScomplexVal (Iterable<? extends Float> 値) 

 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];

public TensorProto.Builder addAllStringVal (Iterable<? extends ByteString> 値) 

 DT_STRING
repeated bytes string_val = 8;

public TensorProto.Builder addAllUint32Val (Iterable<? extends Integer> 値) 

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

public TensorProto.Builder addAllUint64Val (Iterable<? extends Long> 値) 

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

public TensorProto.Builder addAllVariantVal (Iterable<? extends VariantTensorDataProto > 値) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addBoolVal (ブール値) 

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

public TensorProto.Builder addDcomplexVal (倍精度値) 

 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];

public TensorProto.Builder addDoubleVal (double 値) 

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

public TensorProto.Builder addFloatVal (浮動小数点値) 

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

public TensorProto.Builder addHalfVal (int 値) 

 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];

public TensorProto.Builder addInt64Val (long 値) 

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

public TensorProto.Builder addIntVal (int 値) 

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

public TensorProto.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、オブジェクト値)

public TensorProto.Builder addResourceHandleVal (int インデックス、 ResourceHandleProto.Builder builderForValue) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal (int インデックス、 ResourceHandleProto値) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal ( ResourceHandleProto値) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addResourceHandleVal ( ResourceHandleProto.Builder builderForValue) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProto.Builder addResourceHandleValBuilder (int インデックス) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProto.Builder addResourceHandleValBuilder () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder addScomplexVal (浮動小数点値) 

 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];

public TensorProto.Builder addStringVal (com.google.protobuf.ByteString 値) 

 DT_STRING
repeated bytes string_val = 8;

public TensorProto.Builder addUint32Val (int 値) 

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

public TensorProto.Builder addUint64Val (long 値) 

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

public TensorProto.Builder addVariantVal ( VariantTensorDataProto値) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addVariantVal (int インデックス、 VariantTensorDataProto.Builder builderForValue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addVariantVal (int インデックス、 VariantTensorDataProto値) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addVariantVal ( VariantTensorDataProto.Builder builderForValue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProto.Builder addVariantValBuilder (int インデックス) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProto.Builder addVariantValBuilder () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProtoビルド()

public TensorProto buildPartial ()

public TensorProto.Builder clear ()

public TensorProto.Builder clearBoolVal () 

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

public TensorProto.Builder clearDcomplexVal () 

 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];

public TensorProto.Builder clearDoubleVal () 

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

public TensorProto.Builder clearDtype ()

.tensorflow.DataType dtype = 1;

public TensorProto.Builder clearField (com.google.protobuf.Descriptors.FieldDescriptor フィールド)

public TensorProto.Builder clearFloatVal () 

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

public 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];

public TensorProto.Builder clearInt64Val () 

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

public TensorProto.Builder clearIntVal () 

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

public TensorProto.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

public TensorProto.Builder clearResourceHandleVal () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public 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];

public TensorProto.Builder clearStringVal () 

 DT_STRING
repeated bytes string_val = 8;

public TensorProto.Builder clearTensorContent () 

 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;

public TensorProto.Builder clearTensorShape () 

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

public TensorProto.Builder clearUint32Val () 

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

public TensorProto.Builder clearUint64Val () 

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

public TensorProto.Builder clearVariantVal () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public 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;

パブリックTensorProto.Builderクローン()

public boolean getBoolVal (int インデックス) 

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

public int getBoolValCount () 

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

public List<Boolean> getBoolValList () 

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

public double getDcomplexVal (int インデックス) 

 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];

public 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];

public List<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];

public TensorProto getDefaultInstanceForType ()

public static Final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

public double getDoubleVal (int インデックス) 

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

public int getDoubleValCount () 

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

public List<Double> getDoubleValList () 

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

public DataType getDtype ()

.tensorflow.DataType dtype = 1;

public int getDtypeValue ()

.tensorflow.DataType dtype = 1;

public float getFloatVal (int インデックス) 

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

public int getFloatValCount () 

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

public List<Float> getFloatValList () 

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

public int getHalfVal (int インデックス) 

 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];

public 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];

public List<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];

public long getInt64Val (int インデックス) 

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

public int getInt64ValCount () 

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

public List<Long> getInt64ValList () 

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

public int getIntVal (int インデックス) 

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

public int getIntValCount () 

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

public List<Integer> getIntValList () 

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

public ResourceHandleProto getResourceHandleVal (int インデックス) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProto.Builder getResourceHandleValBuilder (int インデックス) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public List< ResourceHandleProto.Builder > getResourceHandleValBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public int getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public List< ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (int インデックス) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

公開リスト<? extends ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public float getScomplexVal (int インデックス) 

 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];

public 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];

public List<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];

public com.google.protobuf.ByteString getStringVal (int インデックス) 

 DT_STRING
repeated bytes string_val = 8;

public int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

public List<ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

public 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;

public TensorShapeProto getTensorShape () 

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

public TensorShapeProto.Builder getTensorShapeBuilder () 

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

public TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

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

public int getUint32Val (int インデックス) 

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

public int getUint32ValCount () 

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

public List<Integer> getUint32ValList () 

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

public long getUint64Val (int インデックス) 

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

public int getUint64ValCount () 

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

public List<Long> getUint64ValList () 

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

public VariantTensorDataProto getVariantVal (int インデックス) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProto.Builder getVariantValBuilder (int インデックス) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public List< VariantTensorDataProto.Builder > getVariantValBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public List< VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProtoOrBuilder getVariantValOrBuilder (int インデックス) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

公開リスト<? extends VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public 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;

public boolean hasTensorShape () 

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

パブリック最終ブール値isInitialized ()

public TensorProto.Builder mergeFrom (com.google.protobuf.Message other)

public TensorProto.Builder mergeFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる
IO例外

public TensorProto.Builder mergeTensorShape ( TensorShapeProto値) 

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

public Final TensorProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet knownFields)

public TensorProto.Builder RemoveResourceHandleVal (int インデックス) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder RemoveVariantVal (int インデックス) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setBoolVal (int インデックス、ブール値) 

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

public TensorProto.Builder setDcomplexVal (int インデックス、double 値) 

 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];

public TensorProto.Builder setDoubleVal (int インデックス、double 値) 

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

public TensorProto.Builder setDtype ( DataType値)

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setDtypeValue (int 値)

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、オブジェクト値)

public TensorProto.Builder setFloatVal (int インデックス、float 値) 

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

public TensorProto.Builder setHalfVal (int インデックス、int 値) 

 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];

public TensorProto.Builder setInt64Val (int インデックス、long 値) 

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

public TensorProto.Builder setIntVal (int インデックス、int 値) 

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

public TensorProto.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor フィールド、int インデックス、オブジェクト値)

public TensorProto.Builder setResourceHandleVal (int インデックス、 ResourceHandleProto.Builder builderForValue) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder setResourceHandleVal (int インデックス、 ResourceHandleProto値) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder setScomplexVal (int インデックス、float 値) 

 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];

public TensorProto.Builder setStringVal (int インデックス、com.google.protobuf.ByteString 値) 

 DT_STRING
repeated bytes string_val = 8;

public TensorProto.Builder setTensorContent (com.google.protobuf.ByteString 値) 

 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;

public TensorProto.Builder setTensorShape ( TensorShapeProto値) 

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

public TensorProto.Builder setTensorShape ( TensorShapeProto.Builder builderForValue) 

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

public TensorProto.Builder setUint32Val (int インデックス、int 値) 

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

public TensorProto.Builder setUint64Val (int インデックス、long 値) 

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

public Final TensorProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet knownFields)

public TensorProto.Builder setVariantVal (int インデックス、 VariantTensorDataProto値) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setVariantVal (int インデックス、 VariantTensorDataProto.Builder builderForValue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setVersionNumber (int 値) 

 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;