clase final pública TensorProto
Protocol buffer representing a tensor.Protobuf tipo
tensorflow.TensorProto
Clases anidadas
clase | TensorProto.Builder | Protocol buffer representing a tensor. |
Constantes
En t | BOOL_VAL_FIELD_NUMBER | |
En t | DCOMPLEX_VAL_FIELD_NUMBER | |
En t | DOUBLE_VAL_FIELD_NUMBER | |
En t | DTYPE_FIELD_NUMBER | |
En t | FLOAT_VAL_FIELD_NUMBER | |
En t | HALF_VAL_FIELD_NUMBER | |
En t | INT64_VAL_FIELD_NUMBER | |
En t | INT_VAL_FIELD_NUMBER | |
En t | RESOURCE_HANDLE_VAL_FIELD_NUMBER | |
En t | SCOMPLEX_VAL_FIELD_NUMBER | |
En t | STRING_VAL_FIELD_NUMBER | |
En t | TENSOR_CONTENT_FIELD_NUMBER | |
En t | TENSOR_SHAPE_FIELD_NUMBER | |
En t | UINT32_VAL_FIELD_NUMBER | |
En t | UINT64_VAL_FIELD_NUMBER | |
En t | VARIANT_VAL_FIELD_NUMBER | |
En t | VERSION_NUMBER_FIELD_NUMBER |
Métodos públicos
booleano | es igual (Objeto obj) |
booleano | getBoolVal (índice int) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
En t | obtenerBoolValCount () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
Lista<Booleano> | obtenerBoolValList () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
doble | getDcomplexVal (índice int) DT_COMPLEX128. |
En t | getDcomplexValCount () DT_COMPLEX128. |
Lista<Doble> | getDcomplexValList () DT_COMPLEX128. |
TensorProto estático | |
TensorProto | |
com.google.protobuf.Descriptors.Descriptor estático final | |
doble | getDoubleVal (índice int) DT_DOUBLE. |
En t | getDoubleValCount () DT_DOUBLE. |
Lista<Doble> | obtenerListaDobleVal () DT_DOUBLE. |
Tipo de datos | obtener tipo D () .tensorflow.DataType dtype = 1; |
En t | getDtypeValue () .tensorflow.DataType dtype = 1; |
flotar | getFloatVal (índice int) DT_FLOAT. |
En t | obtenerFloatValCount () DT_FLOAT. |
Lista<flotante> | obtenerFloatValList () DT_FLOAT. |
En t | getHalfVal (índice int) DT_HALF, DT_BFLOAT16. |
En t | obtenerHalfValCount () DT_HALF, DT_BFLOAT16. |
Lista<Entero> | obtenerHalfValList () DT_HALF, DT_BFLOAT16. |
largo | getInt64Val (índice int) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
En t | getInt64ValCount () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
Lista<Larga> | getInt64ValList () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
En t | getIntVal (índice int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
En t | obtenerIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
Lista<Entero> | obtenerListaIntVal () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
ResourceHandleProto | getResourceHandleVal (índice int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
En t | getResourceHandleValCount () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Lista< ResourceHandleProto > | getResourceHandleValList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
ResourceHandleProtoOrBuilder | getResourceHandleValOrBuilder (índice int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Lista<? extiende ResourceHandleProtoOrBuilder > | getResourceHandleValOrBuilderList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
flotar | getScomplexVal (índice int) DT_COMPLEX64. |
En t | getScomplexValCount () DT_COMPLEX64. |
Lista<flotante> | getScomplexValList () DT_COMPLEX64. |
En t | |
com.google.protobuf.ByteString | getStringVal (índice int) DT_STRING repeated bytes string_val = 8; |
En t | getStringValCount () DT_STRING repeated bytes string_val = 8; |
Lista<ByteString> | obtenerStringValList () DT_STRING repeated bytes string_val = 8; |
com.google.protobuf.ByteString | obtenerTensorContenido () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. |
TensorShapeProto | obtener forma tensor () Shape of the tensor. |
TensorShapeProtoOrBuilder | getTensorShapeOrBuilder () Shape of the tensor. |
En t | getUint32Val (índice int) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
En t | getUint32ValCount () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
Lista<Entero> | getUint32ValList () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
largo | getUint64Val (índice int) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
En t | getUint64ValCount () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
Lista<Larga> | getUint64ValList () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
com.google.protobuf.UnknownFieldSet final | |
VarianteTensorDataProto | getVariantVal (índice int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
En t | getVariantValCount () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Lista <VarianteTensorDataProto> | getVariantValList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
VarianteTensorDataProtoOrBuilder | getVariantValOrBuilder (índice int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Lista<? extiende VariantTensorDataProtoOrBuilder > | getVariantValOrBuilderList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
En t | obtener número de versión () Version number. |
booleano | tieneTensorShape () Shape of the tensor. |
En t | código hash () |
booleano final | |
TensorProto.Builder estático | |
TensorProto.Builder estático | newBuilder (prototipo TensorProto ) |
TensorProto.Builder | |
TensorProto estático | parseDelimitedFrom (entrada de InputStream) |
TensorProto estático | parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto estático | parseFrom (datos de ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto estático | parseFrom (entrada com.google.protobuf.CodedInputStream) |
TensorProto estático | parseFrom (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto estático | parseFrom (datos de ByteBuffer) |
TensorProto estático | parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry) |
TensorProto estático | parseFrom (datos com.google.protobuf.ByteString) |
TensorProto estático | parseFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto estático | parseFrom (com.google.protobuf.ByteString datos, com.google.protobuf.ExtensionRegistryLite extensiónRegistry) |
estático | analizador () |
TensorProto.Builder | |
vacío | writeTo (salida de com.google.protobuf.CodedOutputStream) |
Métodos heredados
Constantes
int final estático público BOOL_VAL_FIELD_NUMBER
Valor constante: 11
int final estático público DCOMPLEX_VAL_FIELD_NUMBER
Valor constante: 12
int final estático público DOUBLE_VAL_FIELD_NUMBER
Valor constante: 6
int final estático público DTYPE_FIELD_NUMBER
Valor constante: 1
int final estático público FLOAT_VAL_FIELD_NUMBER
Valor constante: 5
int final estático público HALF_VAL_FIELD_NUMBER
Valor constante: 13
int final estática pública INT64_VAL_FIELD_NUMBER
Valor constante: 10
int final estático público INT_VAL_FIELD_NUMBER
Valor constante: 7
int final estático público RESOURCE_HANDLE_VAL_FIELD_NUMBER
Valor constante: 14
int final estático público SCOMPLEX_VAL_FIELD_NUMBER
Valor constante: 9
int final estático público STRING_VAL_FIELD_NUMBER
Valor constante: 8
int final estático público TENSOR_CONTENT_FIELD_NUMBER
Valor constante: 4
int final estático público TENSOR_SHAPE_FIELD_NUMBER
Valor constante: 2
int final estático público UINT32_VAL_FIELD_NUMBER
Valor constante: 16
int final estático público UINT64_VAL_FIELD_NUMBER
Valor constante: 17
int final estático público VARIANT_VAL_FIELD_NUMBER
Valor constante: 15
int final estático público VERSION_NUMBER_FIELD_NUMBER
Valor constante: 3
Métodos públicos
público booleano es igual (Objeto obj)
getBoolVal booleano público (índice int)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
público int getBoolValCount ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
Lista pública<Booleano> getBoolValList ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
público doble getDcomplexVal (índice 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];
público 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];
Lista pública<Doble> 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];
público estático final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
público doble getDoubleVal (índice int)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public int getDoubleValCount ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
Lista pública<Doble> getDoubleValList ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
público int getDtypeValue ()
.tensorflow.DataType dtype = 1;
flotante público getFloatVal (índice int)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
público int getFloatValCount ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
Lista pública<Float> getFloatValList ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
público int getHalfVal (índice 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];
público 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];
Lista pública<Entero> 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];
público largo getInt64Val (índice int)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
público int getInt64ValCount ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
Lista pública<Larga> getInt64ValList ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
público int getIntVal (índice int)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
público int getIntValCount ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
Lista pública<Entero> getIntValList ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
público getParserForType ()
ResourceHandlePro público para getResourceHandleVal (índice int)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
público int getResourceHandleValCount ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Lista pública< ResourceHandleProto > getResourceHandleValList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
público ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (índice int)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Lista pública<? extiende ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getScomplexVal flotante público (índice 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];
público 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];
Lista pública<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];
público int getSerializedSize ()
público com.google.protobuf.ByteString getStringVal (índice int)
DT_STRING
repeated bytes string_val = 8;
público int getStringValCount ()
DT_STRING
repeated bytes string_val = 8;
Lista pública<ByteString> getStringValList ()
DT_STRING
repeated bytes string_val = 8;
público 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;
público TensorShapeProto getTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
público TensorShapeProtoOrBuilder getTensorShapeOrBuilder ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
público int getUint32Val (índice int)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
público int getUint32ValCount ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
Lista pública<Entero> getUint32ValList ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
público largo getUint64Val (índice int)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
público int getUint64ValCount ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
Lista pública<Larga> getUint64ValList ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
público final com.google.protobuf.UnknownFieldSet getUnknownFields ()
público VariantTensorDataProto getVariantVal (índice int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
público int getVariantValCount ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Lista pública< VariantTensorDataProto > getVariantValList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
público VariantTensorDataProtoOrBuilder getVariantValOrBuilder (índice int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Lista pública<? extiende 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;
hasTensorShape booleano público ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
código hash int público ()
público final booleano isInitialized ()
TensorProto estático público parseDelimitedFrom (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lanza
IOExcepción |
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público estático TensorProto parseFrom (datos ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lanza
Excepción de buffer de protocolo no válido |
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parseFrom público estático de TensorProto (entrada com.google.protobuf.CodedInputStream)
Lanza
IOExcepción |
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público estático TensorProto parseFrom (byte[] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lanza
Excepción de buffer de protocolo no válido |
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parseFrom público estático de TensorProto (datos de ByteBuffer)
Lanza
Excepción de buffer de protocolo no válido |
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parseFrom público estático de TensorProto (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensiónRegistry)
Lanza
IOExcepción |
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parseFrom público estático de TensorProto (datos com.google.protobuf.ByteString)
Lanza
Excepción de buffer de protocolo no válido |
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parseFrom público estático de TensorProto (entrada de InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lanza
IOExcepción |
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parseFrom público estático de TensorProto (datos com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lanza
Excepción de buffer de protocolo no válido |
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estática pública analizador ()
escritura vacía pública (salida de com.google.protobuf.CodedOutputStream)
Lanza
IOExcepción |
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