TensorProtoOrBuilder

interfaccia pubblica TensorProtoOrBuilder
Sottoclassi indirette conosciute

Metodi pubblici

booleano astratto
getBoolVal (indice int)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
astratto int
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
Lista astratta<Booleano>
getBoolValList ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
doppio astratto
getDcomplexVal (indice int)
 DT_COMPLEX128.
astratto int
getDcomplexValCount ()
 DT_COMPLEX128.
Lista astratta<Doppio>
getDcomplexValList ()
 DT_COMPLEX128.
doppio astratto
getDoubleVal (indice int)
 DT_DOUBLE.
astratto int
getDoubleValCount ()
 DT_DOUBLE.
Lista astratta<Doppio>
getDoubleValList ()
 DT_DOUBLE.
tipo di dati astratto
getDtipo ()
.tensorflow.DataType dtype = 1;
astratto int
getDtipoValore ()
.tensorflow.DataType dtype = 1;
galleggiante astratto
getFloatVal (indice int)
 DT_FLOAT.
astratto int
getFloatValCount ()
 DT_FLOAT.
Lista astratta<Float>
getFloatValList ()
 DT_FLOAT.
astratto int
getHalfVal (indice int)
 DT_HALF, DT_BFLOAT16.
astratto int
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
Lista astratta<Intero>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
astratto lungo
getInt64Val (indice int)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
astratto int
getInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
Lista astratta<Lunga>
getInt64ValList ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
astratto int
getIntVal (indice int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
astratto int
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Lista astratta<Intero>
getIntValLista ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
abstract ResourceHandleProto
getResourceHandleVal (indice int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
astratto int
getResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Elenco astratto< ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
abstract ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (indice int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Elenco astratto<? estende ResourceHandleProtoOrBuilder >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
galleggiante astratto
getScomplexVal (indice int)
 DT_COMPLEX64.
astratto int
getScomplexValCount ()
 DT_COMPLEX64.
Lista astratta<Float>
getScomplexValList ()
 DT_COMPLEX64.
astratto com.google.protobuf.ByteString
getStringVal (indice int)
 DT_STRING
repeated bytes string_val = 8;
astratto int
getStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
Elenco astratto<ByteString>
getStringValList ()
 DT_STRING
repeated bytes string_val = 8;
astratto com.google.protobuf.ByteString
getTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
astratto TensorShapeProto
getTensorShape ()
 Shape of the tensor.
astratto TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 Shape of the tensor.
astratto int
getUint32Val (indice int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
astratto int
getUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
Lista astratta<Intero>
getUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
astratto lungo
getUint64Val (indice int)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
astratto int
getUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
Lista astratta<Lunga>
getUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
abstract VariantTensorDataProto
getVariantVal (indice int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
astratto int
getVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Elenco astratto <VariantTensorDataProto>
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
astratto VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (indice int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Elenco astratto<? estende VariantTensorDataProtoOrBuilder >
getVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
astratto int
getNumeroVersione ()
 Version number.
booleano astratto
haTensorShape ()
 Shape of the tensor.

Metodi pubblici

pubblico astratto booleano getBoolVal (indice int) 

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

public abstract int getBoolValCount () 

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

Elenco astratto pubblico<Booleano> getBoolValList () 

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

public abstract double getDcomplexVal (indice 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];

public abstract List<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];

public abstract double getDoubleVal (indice int) 

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

public abstract int getDoubleValCount () 

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

lista astratta pubblica<Double> getDoubleValList () 

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

estratto pubblico DataType getDtype ()

.tensorflow.DataType dtype = 1;

public abstract int getDtypeValue ()

.tensorflow.DataType dtype = 1;

public abstract float getFloatVal (indice int) 

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

public abstract int getFloatValCount () 

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

lista astratta pubblica<Float> getFloatValList () 

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

public abstract int getHalfVal (indice 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];

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];

public abstract List<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];

public abstract long getInt64Val (indice int) 

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

public abstract int getInt64ValCount () 

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

public abstract List<Long> getInt64ValList () 

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

public abstract int getIntVal (indice int) 

 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];

public abstract List<Integer> getIntValList () 

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

public abstract ResourceHandleProto getResourceHandleVal (indice int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public abstract int getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

elenco astratto pubblico< ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

abstract pubblico ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (indice int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Elenco abstract pubblico<? estende ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public abstract float getScomplexVal (indice 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 astratta pubblica<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];

abstract pubblico com.google.protobuf.ByteString getStringVal (indice int) 

 DT_STRING
repeated bytes string_val = 8;

public abstract int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

lista astratta pubblica<ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

estratto pubblico 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;

estratto pubblico TensorShapeProto getTensorShape () 

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

public abstract TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

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

public abstract int getUint32Val (indice int) 

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

public abstract int getUint32ValCount () 

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

public abstract List<Integer> getUint32ValList () 

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

public abstract long getUint64Val (indice int) 

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

public abstract int getUint64ValCount () 

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

public abstract List<Long> getUint64ValList () 

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

public abstract VariantTensorDataProto getVariantVal (indice int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public abstract int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

elenco astratto pubblico < VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public abstract VariantTensorDataProtoOrBuilder getVariantValOrBuilder (indice int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Elenco abstract pubblico<? estende 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 version_number = 3;

pubblico astratto booleano hasTensorShape () 

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