interfaz pública TensorProtoOrBuilder
Subclases indirectas conocidas |
Métodos públicos
booleano abstracto | getBoolVal (índice int) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
int abstracto | getBoolValCount () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
Lista abstracta <Boolean> | getBoolValList () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
doble abstracto | getDcomplexVal (índice int) DT_COMPLEX128. |
int abstracto | getDcomplexValCount () DT_COMPLEX128. |
Lista abstracta <Doble> | getDcomplexValList () DT_COMPLEX128. |
doble abstracto | getDoubleVal (índice int) DT_DOUBLE. |
int abstracto | getDoubleValCount () DT_DOUBLE. |
Lista abstracta <Doble> | getDoubleValList () DT_DOUBLE. |
Tipo de datos abstracto | getDtype () .tensorflow.DataType dtype = 1; |
int abstracto | getDtypeValue () .tensorflow.DataType dtype = 1; |
flotador abstracto | getFloatVal (índice int) DT_FLOAT. |
int abstracto | getFloatValCount () DT_FLOAT. |
Lista abstracta <Float> | getFloatValList () DT_FLOAT. |
int abstracto | getHalfVal (índice int) DT_HALF, DT_BFLOAT16. |
int abstracto | getHalfValCount () DT_HALF, DT_BFLOAT16. |
Lista abstracta <Intero> | getHalfValList () DT_HALF, DT_BFLOAT16. |
abstracto largo | getInt64Val (índice int) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
int abstracto | getInt64ValCount () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
Lista abstracta <Long> | getInt64ValList () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
int abstracto | getIntVal (índice int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
int abstracto | getIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
Lista abstracta <Intero> | getIntValList () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
resumen ResourceHandleProto | getResourceHandleVal (índice int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
int abstracto | 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; |
Resumen Lista <? extiende ResourceHandleProtoOrBuilder > | getResourceHandleValOrBuilderList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
flotador abstracto | getScomplexVal (índice int) DT_COMPLEX64. |
int abstracto | getScomplexValCount () DT_COMPLEX64. |
Lista abstracta <Float> | getScomplexValList () DT_COMPLEX64. |
resumen com.google.protobuf.ByteString | getStringVal (índice int) DT_STRING repeated bytes string_val = 8; |
int abstracto | getStringValCount () DT_STRING repeated bytes string_val = 8; |
Lista abstracta <ByteString> | getStringValList () DT_STRING repeated bytes string_val = 8; |
resumen com.google.protobuf.ByteString | getTensorContent () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. |
abstracto TensorShapeProto | getTensorShape () Shape of the tensor. |
abstracto TensorShapeProtoOrBuilder | getTensorShapeOrBuilder () Shape of the tensor. |
int abstracto | getUint32Val (índice int) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
int abstracto | getUint32ValCount () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
Lista abstracta <Intero> | getUint32ValList () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
abstracto largo | getUint64Val (índice int) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
int abstracto | getUint64ValCount () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
Lista abstracta <Long> | getUint64ValList () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
abstracto VariantTensorDataProto | getVariantVal (índice int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
int abstracto | getVariantValCount () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Lista abstracta < VariantTensorDataProto > | getVariantValList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
resumen VariantTensorDataProtoOrBuilder | getVariantValOrBuilder (índice int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Resumen Lista <? extiende VariantTensorDataProtoOrBuilder > | getVariantValOrBuilderList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
int abstracto | getVersionNumber () Version number. |
booleano abstracto | hasTensorShape () Shape of the tensor. |
Métodos públicos
getBoolVal booleano abstracto público (índice int)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public abstract int getBoolValCount ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
Lista pública abstracta <Boolean> getBoolValList ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
getDcomplexVal doble abstracto público (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];
public abstract 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 abstracta <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 abstracto doble getDoubleVal (índice int)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public abstract int getDoubleValCount ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
Lista pública abstracta <Doble> getDoubleValList ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public abstract int getDtypeValue ()
.tensorflow.DataType dtype = 1;
flotador abstracto público getFloatVal (índice int)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public abstract int getFloatValCount ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
Lista pública abstracta <Float> getFloatValList ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public abstract int getHalfVal (int index)
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 abstract 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 abstracta <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];
getInt64Val largo público abstracto (índice int)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public abstract int getInt64ValCount ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
Lista pública abstracta <Long> getInt64ValList ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public abstract int getIntVal (int index)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public abstract int getIntValCount ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
Lista pública abstracta <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;
public abstract int getResourceHandleValCount ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Lista pública abstracta < 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 resumen público <? extiende ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
flotador 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];
public abstract 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 abstracta <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;
public abstract int getStringValCount ()
DT_STRING
repeated bytes string_val = 8;
Lista pública abstracta <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;
public abstract int getUint32Val (int índice)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public abstract int getUint32ValCount ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
Lista pública abstracta <Integer> getUint32ValList ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
getUint64Val largo público abstracto (índice int)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public abstract int getUint64ValCount ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
Lista pública abstracta <Long> getUint64ValList ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public abstract VariantTensorDataProto getVariantVal (índice int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public abstract int getVariantValCount ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Lista pública abstracta < VariantTensorDataProto > getVariantValList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public abstract VariantTensorDataProtoOrBuilder getVariantValOrBuilder (índice int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Lista de resumen público <? extiende VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public abstract 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
int32 version_number = 3;
público abstracto booleano hasTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;