TensorProtoOrBuilder

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];

tipo de datos abstracto público getDtype ()

.tensorflow.DataType dtype = 1;

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;