genel statik son sınıf TensorProto.Builder
Protocol buffer representing a tensor.Protobuf türü
tensorflow.TensorProto
Genel Yöntemler
TensorProto.Builder | addAllBoolVal (Yinelenebilir<? Boolean> değerlerini genişletir) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
TensorProto.Builder | addAllDcomplexVal (Yinelenebilir<? Double> değerleri genişletir) DT_COMPLEX128. |
TensorProto.Builder | addAllDoubleVal (Yinelenebilir<? Double> değerleri genişletir) DT_DOUBLE. |
TensorProto.Builder | addAllFloatVal (Yinelenebilir<? Float> değerlerini genişletir) DT_FLOAT. |
TensorProto.Builder | addAllHalfVal (Yinelenebilir<? Tamsayı> değerlerini genişletir) DT_HALF, DT_BFLOAT16. |
TensorProto.Builder | addAllInt64Val (Yinelenebilir<? Long> değerleri genişletir) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
TensorProto.Builder | addAllIntVal (Yinelenebilir<? Tamsayı> değerlerini genişletir) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
TensorProto.Builder | addAllResourceHandleVal (Yinelenebilir<?, ResourceHandleProto > değerlerini genişletir) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | addAllScomplexVal (Yinelenebilir<? Float> değerlerini genişletir) DT_COMPLEX64. |
TensorProto.Builder | addAllStringVal (Yinelenebilir<? ByteString> değerlerini genişletir) DT_STRING repeated bytes string_val = 8; |
TensorProto.Builder | addAllUint32Val (Yinelenebilir<? Tamsayı> değerlerini genişletir) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
TensorProto.Builder | addAllUint64Val (Yinelenebilir<? Long> değerleri genişletir) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
TensorProto.Builder | addAllVariantVal (Yinelenebilir<? VariantTensorDataProto > değerlerini genişletir) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | addBoolVal (boole değeri) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
TensorProto.Builder | addDcomplexVal (çift değer) DT_COMPLEX128. |
TensorProto.Builder | addDoubleVal (çift değer) DT_DOUBLE. |
TensorProto.Builder | addFloatVal (değişken değer) DT_FLOAT. |
TensorProto.Builder | addHalfVal (int değeri) DT_HALF, DT_BFLOAT16. |
TensorProto.Builder | addInt64Val (uzun değer) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
TensorProto.Builder | addIntVal (int değeri) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
TensorProto.Builder | addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri) |
TensorProto.Builder | addResourceHandleVal (int dizini, ResourceHandleProto.Builder builderForValue) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | addResourceHandleVal (int dizini, ResourceHandleProto değeri) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | addResourceHandleVal ( ResourceHandleProto değeri) 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 dizini) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
ResourceHandleProto.Builder | addResourceHandleValBuilder () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | addScomplexVal (değişken değer) DT_COMPLEX64. |
TensorProto.Builder | addStringVal (com.google.protobuf.ByteString değeri) DT_STRING repeated bytes string_val = 8; |
TensorProto.Builder | addUint32Val (int değeri) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
TensorProto.Builder | addUint64Val (uzun değer) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
TensorProto.Builder | addVariantVal ( VariantTensorDataProto değeri) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | addVariantVal (int dizini, VariantTensorDataProto.Builder builderForValue) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | addVariantVal (int dizini, VariantTensorDataProto değeri) 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 dizini) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
VariantTensorDataProto.Builder | addVariantValBuilder () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto | inşa etmek () |
TensorProto | inşaKısmi () |
TensorProto.Builder | temizlemek () |
TensorProto.Builder | clearBoolVal () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
TensorProto.Builder | clearDcomplexVal () DT_COMPLEX128. |
TensorProto.Builder | clearDoubleVal () DT_DOUBLE. |
TensorProto.Builder | clearDtype () .tensorflow.DataType dtype = 1; |
TensorProto.Builder | clearField (com.google.protobuf.Descriptors.FieldDescriptor alanı) |
TensorProto.Builder | clearFloatVal () DT_FLOAT. |
TensorProto.Builder | clearHalfVal () 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 | clearStringVal () 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 | clearTensorShape () 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 | klon () |
boolean | getBoolVal (int dizini) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
int | getBoolValCount () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
Liste<Boolean> | getBoolValList () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
çift | getDcomplexVal (int dizini) DT_COMPLEX128. |
int | getDcomplexValCount () DT_COMPLEX128. |
Liste<Çift> | getDcomplexValList () DT_COMPLEX128. |
TensorProto | |
final statik com.google.protobuf.Descriptors.Descriptor | |
com.google.protobuf.Descriptors.Descriptor | |
çift | getDoubleVal (int dizini) DT_DOUBLE. |
int | getDoubleValCount () DT_DOUBLE. |
Liste<Çift> | getDoubleValList () DT_DOUBLE. |
Veri tipi | getDtype () .tensorflow.DataType dtype = 1; |
int | getDtypeValue () .tensorflow.DataType dtype = 1; |
batmadan yüzmek | getFloatVal (int dizini) DT_FLOAT. |
int | getFloatValCount () DT_FLOAT. |
Liste<Kayandır> | getFloatValList () DT_FLOAT. |
int | getHalfVal (int dizini) DT_HALF, DT_BFLOAT16. |
int | getHalfValCount () DT_HALF, DT_BFLOAT16. |
Liste<Tamsayı> | getHalfValList () DT_HALF, DT_BFLOAT16. |
uzun | getInt64Val (int dizini) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
int | getInt64ValCount () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
Liste<Uzun> | getInt64ValList () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
int | getIntVal (int dizini) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
int | getIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
Liste<Tamsayı> | getIntValList () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
KaynakHandleProto | getResourceHandleVal (int dizini) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
ResourceHandleProto.Builder | getResourceHandleValBuilder (int dizini) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Liste< ResourceHandleProto.Builder > | getResourceHandleValBuilderList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
int | getResourceHandleValCount () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Liste< ResourceHandleProto > | getResourceHandleValList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
ResourceHandleProtoOrBuilder | getResourceHandleValOrBuilder (int dizini) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Liste<? ResourceHandleProtoOrBuilder'ı genişletir > | getResourceHandleValOrBuilderList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
batmadan yüzmek | getScomplexVal (int dizini) DT_COMPLEX64. |
int | getScomplexValCount () DT_COMPLEX64. |
Liste<Kayandır> | getScomplexValList () DT_COMPLEX64. |
com.google.protobuf.ByteString | getStringVal (int dizini) DT_STRING repeated bytes string_val = 8; |
int | getStringValCount () DT_STRING repeated bytes string_val = 8; |
Liste<ByteString> | 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. |
TensorShapeProto | getTensorShape () Shape of the tensor. |
TensorShapeProto.Builder | getTensorShapeBuilder () Shape of the tensor. |
TensorShapeProtoOrBuilder | getTensorShapeOrBuilder () Shape of the tensor. |
int | getUint32Val (int dizini) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
int | getUint32ValCount () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
Liste<Tamsayı> | getUint32ValList () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
uzun | getUint64Val (int dizini) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
int | getUint64ValCount () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
Liste<Uzun> | getUint64ValList () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
VariantTensorDataProto | getVariantVal (int dizini) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
VariantTensorDataProto.Builder | getVariantValBuilder (int dizini) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Liste< VariantTensorDataProto.Builder > | getVariantValBuilderList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
int | getVariantValCount () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Listele< VariantTensorDataProto > | getVariantValList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
VariantTensorDataProtoOrBuilder | getVariantValOrBuilder (int dizini) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Liste<? VariantTensorDataProtoOrBuilder'ı genişletiyor > | getVariantValOrBuilderList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
int | getVersionNumber () Version number. |
boolean | hasTensorShape () Shape of the tensor. |
son boole değeri | Başlatıldı () |
TensorProto.Builder | mergeFrom (com.google.protobuf.Message other) |
TensorProto.Builder | mergeFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto.Builder | |
son TensorProto.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields) |
TensorProto.Builder | kaldırResourceHandleVal (int dizini) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | kaldırVariantVal (int dizini) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | setBoolVal (int dizini, boolean değeri) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
TensorProto.Builder | setDcomplexVal (int indeksi, çift değer) DT_COMPLEX128. |
TensorProto.Builder | setDoubleVal (int indeksi, çift değer) DT_DOUBLE. |
TensorProto.Builder | |
TensorProto.Builder | setDtypeValue (int değeri) .tensorflow.DataType dtype = 1; |
TensorProto.Builder | setField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri) |
TensorProto.Builder | setFloatVal (int indeksi, kayan nokta değeri) DT_FLOAT. |
TensorProto.Builder | setHalfVal (int dizini, int değeri) DT_HALF, DT_BFLOAT16. |
TensorProto.Builder | setInt64Val (int dizini, uzun değer) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
TensorProto.Builder | setIntVal (int dizini, int değeri) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
TensorProto.Builder | setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, int dizini, Nesne değeri) |
TensorProto.Builder | setResourceHandleVal (int dizini, ResourceHandleProto.Builder builderForValue) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | setResourceHandleVal (int dizini, ResourceHandleProto değeri) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | setScomplexVal (int indeksi, kayan nokta değeri) DT_COMPLEX64. |
TensorProto.Builder | setStringVal (int dizini, com.google.protobuf.ByteString değeri) DT_STRING repeated bytes string_val = 8; |
TensorProto.Builder | setTensorContent (com.google.protobuf.ByteString değeri) Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. |
TensorProto.Builder | |
TensorProto.Builder | |
TensorProto.Builder | setUint32Val (int dizini, int değeri) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
TensorProto.Builder | setUint64Val (int dizini, uzun değer) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
son TensorProto.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSet bilinmeyenFields) |
TensorProto.Builder | setVariantVal (int dizini, VariantTensorDataProto değeri) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | setVariantVal (int dizini, VariantTensorDataProto.Builder builderForValue) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | setVersionNumber (int değeri) Version number. |
Kalıtsal Yöntemler
Genel Yöntemler
public TensorProto.Builder addAllBoolVal (Yinelenebilir<? Boolean> değerlerini genişletir)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public TensorProto.Builder addAllDcomplexVal (Yinelenebilir<? Double> değerlerini genişletir)
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 (Yinelenebilir<? Double> değerlerini genişletir)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public TensorProto.Builder addAllFloatVal (Yinelenebilir<? Float> değerlerini genişletir)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public TensorProto.Builder addAllHalfVal (Yinelenebilir<? Tamsayı> değerlerini genişletir)
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 (Yinelenebilir<? Long> değerleri genişletir)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public TensorProto.Builder addAllIntVal (Yinelenebilir<? Tamsayı> değerlerini genişletir)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public TensorProto.Builder addAllResourceHandleVal (Yinelenebilir<?, ResourceHandleProto > değerlerini genişletir)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder addAllScomplexVal (Yinelenebilir<? Float> değerlerini genişletir)
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 (Yinelenebilir<?, ByteString> değerlerini genişletir)
DT_STRING
repeated bytes string_val = 8;
public TensorProto.Builder addAllUint32Val (Yinelenebilir<? Tamsayı> değerlerini genişletir)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public TensorProto.Builder addAllUint64Val (Yinelenebilir<? Extends Long> değerleri)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public TensorProto.Builder addAllVariantVal (Yinelenebilir<?, VariantTensorDataProto > değerlerini genişletir)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public TensorProto.Builder addBoolVal (boolean değeri)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public TensorProto.Builder addDcomplexVal (çift değer)
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 (çift değer)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public TensorProto.Builder addFloatVal (değişken değer)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public TensorProto.Builder addHalfVal (int değeri)
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 (uzun değer)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public TensorProto.Builder addIntVal (int değeri)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public TensorProto.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)
public TensorProto.Builder addResourceHandleVal (int dizini, ResourceHandleProto.Builder builderForValue)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder addResourceHandleVal (int dizini, ResourceHandleProto değeri)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder addResourceHandleVal ( ResourceHandleProto değeri)
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;
genel ResourceHandleProto.Builder addResourceHandleValBuilder (int dizini)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
genel ResourceHandleProto.Builder addResourceHandleValBuilder ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder addScomplexVal (kayan değer)
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];
genel TensorProto.Builder addStringVal (com.google.protobuf.ByteString değeri)
DT_STRING
repeated bytes string_val = 8;
public TensorProto.Builder addUint32Val (int değeri)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public TensorProto.Builder addUint64Val (uzun değer)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public TensorProto.Builder addVariantVal ( VariantTensorDataProto değeri)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
genel TensorProto.Builder addVariantVal (int dizini, VariantTensorDataProto.Builder builderForValue)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public TensorProto.Builder addVariantVal (int dizini, VariantTensorDataProto değeri)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public TensorProto.Builder addVariantVal ( VariantTensorDataProto.Builder builderForValue)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
genel VariantTensorDataProto.Builder addVariantValBuilder (int dizini)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
genel VariantTensorDataProto.Builder addVariantValBuilder ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
herkese açık TensorProto.Builder clearBoolVal ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
herkese açık 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];
herkese açık TensorProto.Builder clearDoubleVal ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
herkese açık TensorProto.Builder clearFloatVal ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
herkese açık 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];
herkese açık TensorProto.Builder clearInt64Val ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
herkese açık TensorProto.Builder clearIntVal ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
herkese açık TensorProto.Builder clearResourceHandleVal ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
herkese açık 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];
herkese açık 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;
herkese açık TensorProto.Builder clearTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
herkese açık TensorProto.Builder clearUint32Val ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
genel TensorProto.Builder clearUint64Val ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
herkese açık TensorProto.Builder clearVariantVal ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
herkese açık 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;
genel boolean getBoolVal (int dizini)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public int getBoolValCount ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
genel Liste<Boolean> getBoolValList ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
genel çift getDcomplexVal (int dizini)
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];
genel Liste<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 static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
genel çift getDoubleVal (int dizini)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public int getDoubleValCount ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
genel Liste<Double> getDoubleValList ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public int getDtypeValue ()
.tensorflow.DataType dtype = 1;
halka açık kayan nokta getFloatVal (int dizini)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public int getFloatValCount ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
genel Liste<Float> getFloatValList ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public int getHalfVal (int dizini)
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];
genel Liste<Tamsayı> 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];
genel uzun getInt64Val (int dizini)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
genel int getInt64ValCount ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
genel Liste<Long> getInt64ValList ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public int getIntVal (int dizini)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
genel int getIntValCount ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
genel Liste<Tamsayı> getIntValList ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
genel ResourceHandleProto getResourceHandleVal (int dizini)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public ResourceHandleProto.Builder getResourceHandleValBuilder (int dizini)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
genel Liste< ResourceHandleProto.Builder > getResourceHandleValBuilderList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public int getResourceHandleValCount ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
genel Liste< ResourceHandleProto > getResourceHandleValList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (int dizini)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
genel liste<? ResourceHandleProtoOrBuilder'ı genişletir > getResourceHandleValOrBuilderList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public float getScomplexVal (int indeksi)
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];
genel Liste<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 dizini)
DT_STRING
repeated bytes string_val = 8;
public int getStringValCount ()
DT_STRING
repeated bytes string_val = 8;
genel Liste<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;
herkese açık TensorShapeProto getTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
herkese açık TensorShapeProto.Builder getTensorShapeBuilder ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
herkese açık TensorShapeProtoOrBuilder getTensorShapeOrBuilder ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
public int getUint32Val (int dizini)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
genel int getUint32ValCount ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
genel Liste<Tamsayı> getUint32ValList ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
genel uzun getUint64Val (int dizini)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
genel int getUint64ValCount ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
genel Liste<Long> getUint64ValList ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
genel VariantTensorDataProto getVariantVal (int dizini)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
genel VariantTensorDataProto.Builder getVariantValBuilder (int dizini)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
genel Liste< VariantTensorDataProto.Builder > getVariantValBuilderList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public int getVariantValCount ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
genel Liste< VariantTensorDataProto > getVariantValList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
genel VariantTensorDataProtoOrBuilder getVariantValOrBuilder (int dizini)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
genel liste<? VariantTensorDataProtoOrBuilder'ı genişletir > 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;
genel boolean hasTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
genel final boolean isInitialized ()
genel TensorProto.Builder mergeFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Atar
IO İstisnası |
---|
genel TensorProto.Builder mergeTensorShape ( TensorShapeProto değeri)
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
genel final TensorProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields)
public TensorProto.Builder kaldırResourceHandleVal (int indeksi)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder kaldırVariantVal (int indeksi)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public TensorProto.Builder setBoolVal (int indeksi, boolean değeri)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public TensorProto.Builder setDcomplexVal (int indeksi, çift değer)
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 indeksi, çift değer)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public TensorProto.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)
public TensorProto.Builder setFloatVal (int indeksi, kayan değer)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public TensorProto.Builder setHalfVal (int dizini, int değeri)
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 indeksi, uzun değer)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public TensorProto.Builder setIntVal (int dizini, int değeri)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public TensorProto.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, int dizini, Nesne değeri)
public TensorProto.Builder setResourceHandleVal (int dizini, ResourceHandleProto.Builder builderForValue)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder setResourceHandleVal (int dizini, ResourceHandleProto değeri)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder setScomplexVal (int indeksi, kayan değer)
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 dizini, com.google.protobuf.ByteString değeri)
DT_STRING
repeated bytes string_val = 8;
genel TensorProto.Builder setTensorContent (com.google.protobuf.ByteString değeri)
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 değeri)
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 dizin, int değeri)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public tensorproto.builder setuint64val (int dizin, uzun değer)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
genel final tensorproto.builder setunknownfields (com.google.protobuf.unknownfieldset uncunwinfields)
public tensorproto.builder setVariaritval (int dizin, varyanttensorDataproto değeri)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public tensorproto.builder setVariaritval (int index, varyanttensorDataproto.Builder BuilderForValue)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public tensorproto.builder setversionNumber (int değeri)
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;