TensorProto

TensorProto kelas akhir publik

 Protocol buffer representing a tensor.
Protobuf tipe tensorflow.TensorProto

Kelas Bersarang

kelas TensorProto.Builder
 Protocol buffer representing a tensor. 

Konstanta

ke dalam BOOL_VAL_FIELD_NUMBER
ke dalam DCOMPLEX_VAL_FIELD_NUMBER
ke dalam DOUBLE_VAL_FIELD_NUMBER
ke dalam DTYPE_FIELD_NUMBER
ke dalam FLOAT_VAL_FIELD_NUMBER
ke dalam SETENGAH_VAL_FIELD_NUMBER
ke dalam INT64_VAL_FIELD_NUMBER
ke dalam INT_VAL_FIELD_NUMBER
ke dalam RESOURCE_HANDLE_VAL_FIELD_NUMBER
ke dalam SCOMPLEX_VAL_FIELD_NUMBER
ke dalam STRING_VAL_FIELD_NUMBER
ke dalam TENSOR_CONTENT_FIELD_NUMBER
ke dalam TENSOR_SHAPE_FIELD_NUMBER
ke dalam UINT32_VAL_FIELD_NUMBER
ke dalam UINT64_VAL_FIELD_NUMBER
ke dalam VARIANT_VAL_FIELD_NUMBER
ke dalam VERSION_NUMBER_FIELD_NUMBER

Metode Publik

boolean
sama dengan (Objek objek)
boolean
getBoolVal (indeks int)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
ke dalam
dapatkanBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
Daftar<Boolean>
dapatkanBoolValList ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
dobel
getDcomplexVal (indeks int)
 DT_COMPLEX128.
ke dalam
dapatkanDcomplexValCount ()
 DT_COMPLEX128.
Daftar<Ganda>
dapatkanDcomplexValList ()
 DT_COMPLEX128.
TensorProto statis
dapatkanDefaultInstance ()
TensorProto
dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir
dapatkanDescriptor ()
dobel
getDoubleVal (indeks int)
 DT_DOUBLE.
ke dalam
dapatkanDoubleValCount ()
 DT_DOUBLE.
Daftar<Ganda>
dapatkanDoubleValList ()
 DT_DOUBLE.
Tipe data
dapatkan tipe D ()
.tensorflow.DataType dtype = 1;
ke dalam
dapatkanDtypeValue ()
.tensorflow.DataType dtype = 1;
mengambang
getFloatVal (indeks int)
 DT_FLOAT.
ke dalam
dapatkanFloatValCount ()
 DT_FLOAT.
Daftar<Mengambang>
dapatkanFloatValList ()
 DT_FLOAT.
ke dalam
getHalfVal (indeks int)
 DT_HALF, DT_BFLOAT16.
ke dalam
dapatkanHalfValCount ()
 DT_HALF, DT_BFLOAT16.
Daftar<Bilangan Bulat>
dapatkanHalfValList ()
 DT_HALF, DT_BFLOAT16.
panjang
getInt64Val (indeks int)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
ke dalam
dapatkanInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
Daftar<Panjang>
dapatkanInt64ValList ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
ke dalam
getIntVal (indeks int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
ke dalam
dapatkanIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Daftar<Bilangan Bulat>
dapatkanIntValList ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
dapatkanParserForType ()
ResourceHandleProto
getResourceHandleVal (indeks int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ke dalam
dapatkanResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Daftar< ResourceHandleProto >
dapatkanResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (indeks int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Daftar<? memperluas ResourceHandleProtoOrBuilder >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
mengambang
getScomplexVal (indeks int)
 DT_COMPLEX64.
ke dalam
dapatkanScomplexValCount ()
 DT_COMPLEX64.
Daftar<Mengambang>
dapatkanScomplexValList ()
 DT_COMPLEX64.
ke dalam
dapatkanUkuranSerial ()
com.google.protobuf.ByteString
getStringVal (indeks int)
 DT_STRING
repeated bytes string_val = 8;
ke dalam
dapatkanStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
Daftar<ByteString>
dapatkanStringValList ()
 DT_STRING
repeated bytes string_val = 8;
com.google.protobuf.ByteString
dapatkanTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorBentukProto
dapatkanTensorBentuk ()
 Shape of the tensor.
TensorShapeProtoOrBuilder
dapatkanTensorShapeOrBuilder ()
 Shape of the tensor.
ke dalam
getUint32Val (indeks int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
ke dalam
dapatkanUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
Daftar<Bilangan Bulat>
dapatkanUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
panjang
getUint64Val (indeks int)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
ke dalam
dapatkanUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
Daftar<Panjang>
dapatkanUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
final com.google.protobuf.UnknownFieldSet
dapatkan Bidang Tidak Dikenal ()
VarianTensorDataProto
getVariantVal (indeks int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
ke dalam
dapatkanVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Daftar< VariantTensorDataProto >
dapatkanVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (indeks int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Daftar<? memperluas VariantTensorDataProtoOrBuilder >
dapatkanVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
ke dalam
dapatkanVersionNumber ()
 Version number.
boolean
hasTensorShape ()
 Shape of the tensor.
ke dalam
Kode hash ()
boolean terakhir
diinisialisasi ()
TensorProto.Builder statis
Pembangun baru ()
TensorProto.Builder statis
newBuilder (prototipe TensorProto )
TensorProto.Builder
newBuilderForType ()
TensorProto statis
parseDelimitedFrom (masukan Aliran Masukan)
TensorProto statis
parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto statis
parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto statis
parseFrom (com.google.protobuf.CodedInputStream masukan)
TensorProto statis
parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto statis
parseFrom (data ByteBuffer)
TensorProto statis
parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto statis
parseFrom (com.google.protobuf.ByteString data)
TensorProto statis
parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto statis
parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statis
pengurai ()
TensorProto.Builder
untukPembangun ()
ruang kosong
writeTo (com.google.protobuf.CodedOutputStream keluaran)

Metode Warisan

Konstanta

int akhir statis publik BOOL_VAL_FIELD_NUMBER

Nilai Konstan: 11

int final statis publik DCOMPLEX_VAL_FIELD_NUMBER

Nilai Konstan: 12

int final statis publik DOUBLE_VAL_FIELD_NUMBER

Nilai Konstan: 6

int akhir statis publik DTYPE_FIELD_NUMBER

Nilai Konstan: 1

int final statis publik FLOAT_VAL_FIELD_NUMBER

Nilai Konstan: 5

int final statis publik HALF_VAL_FIELD_NUMBER

Nilai Konstan: 13

int final statis publik INT64_VAL_FIELD_NUMBER

Nilai Konstan: 10

int akhir statis publik INT_VAL_FIELD_NUMBER

Nilai Konstan: 7

int akhir statis publik RESOURCE_HANDLE_VAL_FIELD_NUMBER

Nilai Konstan: 14

int akhir statis publik SCOMPLEX_VAL_FIELD_NUMBER

Nilai Konstan: 9

int akhir statis publik STRING_VAL_FIELD_NUMBER

Nilai Konstan: 8

int akhir statis publik TENSOR_CONTENT_FIELD_NUMBER

Nilai Konstan: 4

int akhir statis publik TENSOR_SHAPE_FIELD_NUMBER

Nilai Konstan: 2

int final statis publik UINT32_VAL_FIELD_NUMBER

Nilai Konstan: 16

int final statis publik UINT64_VAL_FIELD_NUMBER

Nilai Konstan: 17

int final statis publik VARIANT_VAL_FIELD_NUMBER

Nilai Konstan: 15

int akhir statis publik VERSION_NUMBER_FIELD_NUMBER

Nilai Konstan: 3

Metode Publik

boolean publik sama (Obj objek)

getBoolVal boolean publik (indeks int) 

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

int publik getBoolValCount () 

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

Daftar publik<Boolean> getBoolValList () 

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

getDcomplexVal ganda publik (indeks int) 

 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];

int publik 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];

Daftar publik<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];

TensorProto statis publik getDefaultInstance ()

TensorProto publik getDefaultInstanceForType ()

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

getDoubleVal ganda publik (indeks int) 

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

int publik getDoubleValCount () 

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

Daftar publik<Double> getDoubleValList () 

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

Tipe Data publik getDtype ()

.tensorflow.DataType dtype = 1;

int publik getDtypeValue ()

.tensorflow.DataType dtype = 1;

getFloatVal float publik (indeks int) 

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

int publik getFloatValCount () 

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

Daftar publik<Float> getFloatValList () 

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

publik int getHalfVal (indeks int) 

 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];

int publik 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];

Daftar publik<Bilangan Bulat> 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];

getInt64Val panjang publik (indeks int) 

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

int publik getInt64ValCount () 

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

Daftar publik<Panjang> getInt64ValList () 

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

publik int getIntVal (indeks int) 

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

int publik getIntValCount () 

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

Daftar publik<Bilangan Bulat> getIntValList () 

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

publik dapatkanParserForType ()

ResourceHandleProto publik getResourceHandleVal (int indeks) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

int publik getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Daftar publik< ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

ResourceHandleProtoOrBuilder publik getResourceHandleValOrBuilder (int indeks) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Daftar Publik<? memperluas ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public float getScomplexVal (indeks int) 

 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];

int publik 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];

Daftar publik<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];

publik int getSerializedSize ()

com.google.protobuf.ByteString getStringVal publik (indeks int) 

 DT_STRING
repeated bytes string_val = 8;

int publik getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

Daftar publik<ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

com.google.protobuf.ByteString publik 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;

TensorShapeProto publik untuk mendapatkanTensorShape () 

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

TensorShapeProtoOrBuilder publik getTensorShapeOrBuilder () 

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

publik int getUint32Val (indeks int) 

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

int publik getUint32ValCount () 

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

Daftar publik<Bilangan Bulat> getUint32ValList () 

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

getUint64Val panjang publik (indeks int) 

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

publik int getUint64ValCount () 

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

Daftar publik<Panjang> getUint64ValList () 

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

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

VariantTensorDataProto getVariantVal publik (indeks int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

int publik getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Daftar publik< VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

VariantTensorDataProtoOrBuilder publik getVariantValOrBuilder (int indeks) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Daftar Publik<? memperluas VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

int publik 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;

boolean publik hasTensorShape () 

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

kode hash int publik ()

boolean akhir publik diinisialisasi ()

TensorProto.Builder statis publik newBuilder ()

TensorProto.Builder statis publik newBuilder (prototipe TensorProto )

TensorProto.Builder publik newBuilderForType ()

TensorProto statis publik parseDelimitedFrom (input InputStream)

Melempar
Pengecualian IO

TensorProto statis publik parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

TensorProto statis publik parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

TensorProto statis publik parseFrom (com.google.protobuf.CodedInputStream input)

Melempar
Pengecualian IO

TensorProto statis publik parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

parseFrom TensorProto statis publik (data ByteBuffer)

Melempar
InvalidProtocolBufferException

TensorProto statis publik parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

TensorProto statis publik parseFrom (com.google.protobuf.ByteString data)

Melempar
InvalidProtocolBufferException

TensorProto statis publik parseFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

TensorProto statis publik parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

statis publik pengurai ()

TensorProto.Builder toBuilder publik ()

public void writeTo (com.google.protobuf.CodedOutputStream keluaran)

Melempar
Pengecualian IO