interfaz pública TensorProtoOrBuilder
Subclases indirectas conocidas |
Métodos públicos
booleano abstracto | getBoolVal (índice int) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
resumen entero | obtenerBoolValCount () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
Lista abstracta<Booleano> | obtenerBoolValList () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
doble abstracto | getDcomplexVal (índice int) DT_COMPLEX128. |
resumen entero | getDcomplexValCount () DT_COMPLEX128. |
Lista abstracta<Doble> | getDcomplexValList () DT_COMPLEX128. |
doble abstracto | getDoubleVal (índice int) DT_DOUBLE. |
resumen entero | getDoubleValCount () DT_DOUBLE. |
Lista abstracta<Doble> | obtenerListaDobleVal () DT_DOUBLE. |
tipo de datos abstracto | obtener tipo D () .tensorflow.DataType dtype = 1; |
resumen entero | getDtypeValue () .tensorflow.DataType dtype = 1; |
flotador abstracto | getFloatVal (índice int) DT_FLOAT. |
resumen entero | obtenerFloatValCount () DT_FLOAT. |
Lista abstracta<Flotante> | obtenerFloatValList () DT_FLOAT. |
resumen entero | getHalfVal (índice int) DT_HALF, DT_BFLOAT16. |
resumen entero | obtenerHalfValCount () DT_HALF, DT_BFLOAT16. |
Lista abstracta<Entero> | obtenerHalfValList () DT_HALF, DT_BFLOAT16. |
abstracto largo | getInt64Val (índice int) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
resumen entero | getInt64ValCount () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
Lista abstracta<Larga> | getInt64ValList () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
resumen entero | getIntVal (índice int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
resumen entero | obtenerIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
Lista abstracta<Entero> | obtenerListaIntVal () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
resumen ResourceHandleProto | getResourceHandleVal (índice int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
resumen entero | getResourceHandleValCount () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Lista abstracta < ResourceHandleProto > | getResourceHandleValList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
resumen ResourceHandleProtoOrBuilder | getResourceHandleValOrBuilder (índice int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Lista abstracta<? extiende ResourceHandleProtoOrBuilder > | getResourceHandleValOrBuilderList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
flotador abstracto | getScomplexVal (índice int) DT_COMPLEX64. |
resumen entero | getScomplexValCount () DT_COMPLEX64. |
Lista abstracta<Flotante> | getScomplexValList () DT_COMPLEX64. |
resumen com.google.protobuf.ByteString | getStringVal (índice int) DT_STRING repeated bytes string_val = 8; |
resumen entero | getStringValCount () DT_STRING repeated bytes string_val = 8; |
Lista abstracta<ByteString> | obtenerStringValList () DT_STRING repeated bytes string_val = 8; |
resumen com.google.protobuf.ByteString | obtenerTensorContenido () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. |
resumen TensorShapeProto | obtener forma tensor () Shape of the tensor. |
abstracto TensorShapeProtoOrBuilder | getTensorShapeOrBuilder () Shape of the tensor. |
resumen entero | getUint32Val (índice int) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
resumen entero | getUint32ValCount () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
Lista abstracta<Entero> | getUint32ValList () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
abstracto largo | getUint64Val (índice int) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
resumen entero | getUint64ValCount () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
Lista abstracta<Larga> | getUint64ValList () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
abstracto VariantTensorDataProto | getVariantVal (índice int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
resumen entero | getVariantValCount () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Lista abstracta <VariantTensorDataProto> | getVariantValList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Variante abstractaTensorDataProtoOrBuilder | getVariantValOrBuilder (índice int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Lista abstracta<? extiende VariantTensorDataProtoOrBuilder > | getVariantValOrBuilderList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
resumen entero | obtener número de versión () Version number. |
booleano abstracto | tieneTensorShape () Shape of the tensor. |
Métodos públicos
getBoolVal booleano abstracto público (índice int)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
resumen público int getBoolValCount ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
Lista abstracta pública<Boolean> getBoolValList ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
resumen 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];
resumen 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 abstracta 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];
doble abstracto público getDoubleVal (índice int)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
resumen público int getDoubleValCount ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
Lista abstracta pública <Doble> getDoubleValList ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
resumen público int getDtypeValue ()
.tensorflow.DataType dtype = 1;
flotante abstracto público getFloatVal (índice int)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
resumen público int getFloatValCount ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
Lista abstracta pública<Float> getFloatValList ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
resumen 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];
resumen 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 abstracta pública<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];
resumen público largo getInt64Val (índice int)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
resumen público int getInt64ValCount ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
Lista abstracta pública<Long> getInt64ValList ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
resumen público int getIntVal (índice int)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
resumen público int getIntValCount ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
Lista abstracta pública<Integer> getIntValList ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
resumen público ResourceHandleProto getResourceHandleVal (índice int)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
resumen público int getResourceHandleValCount ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Lista abstracta pública < ResourceHandleProto > getResourceHandleValList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
resumen público ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (índice int)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Lista de resúmenes públicos <? extiende ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
flotante abstracto público getScomplexVal (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];
resumen 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 abstracta 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];
resumen público com.google.protobuf.ByteString getStringVal (índice int)
DT_STRING
repeated bytes string_val = 8;
resumen público int getStringValCount ()
DT_STRING
repeated bytes string_val = 8;
Lista abstracta pública <ByteString> getStringValList ()
DT_STRING
repeated bytes string_val = 8;
resumen 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;
resumen público TensorShapeProto getTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
resumen público TensorShapeProtoOrBuilder getTensorShapeOrBuilder ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
resumen público int getUint32Val (índice int)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
resumen público int getUint32ValCount ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
Lista abstracta pública <Integer> getUint32ValList ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
resumen público largo getUint64Val (índice int)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
resumen público int getUint64ValCount ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
Lista abstracta pública<Long> getUint64ValList ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
resumen público VariantTensorDataProto getVariantVal (índice int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
resumen público int getVariantValCount ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Lista abstracta pública< VariantTensorDataProto > getVariantValList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
resumen público VariantTensorDataProtoOrBuilder getVariantValOrBuilder (índice int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Lista de resúmenes públicos <? extiende VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
resumen público 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 abstracto público ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;