TensorProto

genel final sınıfı TensorProto

 Protocol buffer representing a tensor.
Protobuf türü tensorflow.TensorProto

İç İçe Sınıflar

sınıf TensorProto.Builder
 Protocol buffer representing a tensor. 

Sabitler

int BOOL_VAL_FIELD_NUMBER
int DCOMPLEX_VAL_FIELD_NUMBER
int DOUBLE_VAL_FIELD_NUMBER
int DTYPE_FIELD_NUMBER
int FLOAT_VAL_FIELD_NUMBER
int HALF_VAL_FIELD_NUMBER
int INT64_VAL_FIELD_NUMBER
int INT_VAL_FIELD_NUMBER
int RESOURCE_HANDLE_VAL_FIELD_NUMBER
int SCOMPLEX_VAL_FIELD_NUMBER
int STRING_VAL_FIELD_NUMBER
int TENSOR_CONTENT_FIELD_NUMBER
int TENSOR_SHAPE_FIELD_NUMBER
int UINT32_VAL_FIELD_NUMBER
int UINT64_VAL_FIELD_NUMBER
int VARIANT_VAL_FIELD_NUMBER
int VERSION_NUMBER_FIELD_NUMBER

Genel Yöntemler

boolean
eşittir (Nesne nesnesi)
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.
statik TensorProto
getDefaultInstance ()
TensorProto
getDefaultInstanceForType ()
final statik com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
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.
getParserForType ()
KaynakHandleProto
getResourceHandleVal (int dizini)
 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.
int
getSerializedSize ()
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.
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];
final com.google.protobuf.UnknownFieldSet
getUnknownFields ()
VariantTensorDataProto
getVariantVal (int dizini)
 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.
int
hash kodu ()
son boole değeri
Başlatıldı ()
statik TensorProto.Builder
yeniİnşaatçı ()
statik TensorProto.Builder
yeniİnşaatçı ( TensorProto prototipi)
TensorProto.Builder
yeniBuilderForType ()
statik TensorProto
parseDelimitedFrom (InputStream girişi)
statik TensorProto
parseDelimitedFrom (InputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statik TensorProto
parseFrom (ByteBuffer verileri, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statik TensorProto
ayrıştırmaFrom (com.google.protobuf.CodedInputStream girişi)
statik TensorProto
parseFrom (byte[] verileri, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statik TensorProto
parseFrom (ByteBuffer verileri)
statik TensorProto
parseFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statik TensorProto
ayrıştırmaFrom (com.google.protobuf.ByteString verileri)
statik TensorProto
parseFrom (InputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statik TensorProto
parseFrom (com.google.protobuf.ByteString verileri, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statik
ayrıştırıcı ()
TensorProto.Builder
inşaatçıya ()
geçersiz
writeTo (com.google.protobuf.CodedOutputStream çıkışı)

Kalıtsal Yöntemler

Sabitler

genel statik final int BOOL_VAL_FIELD_NUMBER

Sabit Değer: 11

genel statik final int DCOMPLEX_VAL_FIELD_NUMBER

Sabit Değer: 12

genel statik final int DOUBLE_VAL_FIELD_NUMBER

Sabit Değer: 6

genel statik final int DTYPE_FIELD_NUMBER

Sabit Değer: 1

genel statik final int FLOAT_VAL_FIELD_NUMBER

Sabit Değer: 5

genel statik final int HALF_VAL_FIELD_NUMBER

Sabit Değer: 13

genel statik final int INT64_VAL_FIELD_NUMBER

Sabit Değer: 10

genel statik final int INT_VAL_FIELD_NUMBER

Sabit Değer: 7

genel statik final int RESOURCE_HANDLE_VAL_FIELD_NUMBER

Sabit Değer: 14

genel statik final int SCOMPLEX_VAL_FIELD_NUMBER

Sabit Değer: 9

genel statik final int STRING_VAL_FIELD_NUMBER

Sabit Değer: 8

genel statik final int TENSOR_CONTENT_FIELD_NUMBER

Sabit Değer: 4

genel statik final int TENSOR_SHAPE_FIELD_NUMBER

Sabit Değer: 2

genel statik final int UINT32_VAL_FIELD_NUMBER

Sabit Değer: 16

genel statik final int UINT64_VAL_FIELD_NUMBER

Sabit Değer: 17

genel statik final int VARIANT_VAL_FIELD_NUMBER

Sabit Değer: 15

genel statik final int VERSION_NUMBER_FIELD_NUMBER

Sabit Değer: 3

Genel Yöntemler

genel boole eşittir (Object obj)

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];

genel statik TensorProto getDefaultInstance ()

public TensorProto getDefaultInstanceForType ()

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

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];

genel Veri Türü getDtype ()

.tensorflow.DataType dtype = 1;

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];

halk getParserForType ()

genel ResourceHandleProto getResourceHandleVal (int dizini) 

 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 int getSerializedSize ()

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 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 final com.google.protobuf.UnknownFieldSet getUnknownFields ()

genel VariantTensorDataProto getVariantVal (int dizini) 

 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 int hashCode ()

genel final boolean isInitialized ()

genel statik TensorProto.Builder newBuilder ()

genel statik TensorProto.Builder newBuilder ( TensorProto prototipi)

herkese açık TensorProto.Builder newBuilderForType ()

genel statik TensorProto ayrıştırmaDelimitedFrom (InputStream girişi)

Atar
IOİstisnası

genel statik TensorProto parseDelimitedFrom (InputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar
IOİstisnası

genel statik TensorProto ayrıştırmaFrom (ByteBuffer verileri, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar
Geçersiz ProtokolBufferException

genel statik TensorProto ayrıştırmaFrom (com.google.protobuf.CodedInputStream girişi)

Atar
IOİstisnası

genel statik TensorProto ayrıştırmaFrom (bayt[] veri, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar
Geçersiz ProtokolBufferException

genel statik TensorProto ayrıştırmaFrom (ByteBuffer verileri)

Atar
Geçersiz ProtokolBufferException

genel statik TensorProto ayrıştırmaFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar
IOİstisnası

genel statik TensorProto ayrıştırmaFrom (com.google.protobuf.ByteString verileri)

Atar
Geçersiz ProtokolBufferException

genel statik TensorProto ayrıştırmaFrom (InputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar
IOİstisnası

genel statik TensorProto ayrıştırmaFrom (com.google.protobuf.ByteString verileri, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Atar
Geçersiz ProtokolBufferException

genel statik ayrıştırıcı ()

herkese açık TensorProto.Builder toBuilder ()

genel geçersiz writeTo (com.google.protobuf.CodedOutputStream çıkışı)

Atar
IOİstisnası