NamedTensorProto.Builder

classe finale statica pubblica NamedTensorProto.Builder

 A pair of tensor name and tensor values.
Tipo protobuf tensorflow.NamedTensorProto

Metodi pubblici

NomeTensorProto.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)
NomeTensorProto
costruire ()
NomeTensorProto
buildPartial ()
NomeTensorProto.Builder
chiaro ()
NomeTensorProto.Builder
clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
NomeTensorProto.Builder
nomechiaro () 
 Name of the tensor.
NomeTensorProto.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
NomeTensorProto.Builder
tensore chiaro () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
NomeTensorProto.Builder
clone ()
NomeTensorProto
getDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statico finale
getDescrittore ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
Corda
getNome () 
 Name of the tensor.
com.google.protobuf.ByteString
getNomeBytes () 
 Name of the tensor.
TensoreProto
getTensore () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
TensorProto.Builder
getTensorBuilder () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
TensorProtoOrBuilder
getTensorOrBuilder () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
booleano
haTensore () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
booleano finale
èinizializzato ()
NomeTensorProto.Builder
mergeFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
NomeTensorProto.Builder
mergeFrom (com.google.protobuf.Message altro)
NomeTensorProto.Builder
mergeTensor (valore TensorProto ) 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
finale NamedTensorProto.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
NomeTensorProto.Builder
setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)
NomeTensorProto.Builder
setName (valore stringa) 
 Name of the tensor.
NomeTensorProto.Builder
setNameBytes (valore com.google.protobuf.ByteString) 
 Name of the tensor.
NomeTensorProto.Builder
setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, indice int, valore oggetto)
NomeTensorProto.Builder
setTensor ( TensorProto.Builder builderForValue) 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
NomeTensorProto.Builder
setTensor (valore TensorProto ) 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
finale NamedTensorProto.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)

Metodi ereditati

Metodi pubblici

public NamedTensorProto.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)

build pubblica NamedTensorProto ()

public NamedTensorProto buildPartial ()

pubblico NamedTensorProto.Builder chiaro ()

public NamedTensorProto.Builder clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)

public NamedTensorProto.Builder clearName () 

 Name of the tensor.
string name = 1;

public NamedTensorProto.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

pubblico NamedTensorProto.Builder clearTensor () 

 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
 The client specifies whether the returned tensor values should be
 filled tensor fields (float_val, int_val, etc.) or encoded in a
 compact form in tensor.tensor_content.
.tensorflow.TensorProto tensor = 2;

clone pubblico NamedTensorProto.Builder ()

pubblico NamedTensorProto getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

pubblico com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

stringa pubblica getName () 

 Name of the tensor.
string name = 1;

pubblico com.google.protobuf.ByteString getNameBytes () 

 Name of the tensor.
string name = 1;

pubblico TensorProto getTensor () 

 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
 The client specifies whether the returned tensor values should be
 filled tensor fields (float_val, int_val, etc.) or encoded in a
 compact form in tensor.tensor_content.
.tensorflow.TensorProto tensor = 2;

public TensorProto.Builder getTensorBuilder () 

 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
 The client specifies whether the returned tensor values should be
 filled tensor fields (float_val, int_val, etc.) or encoded in a
 compact form in tensor.tensor_content.
.tensorflow.TensorProto tensor = 2;

public TensorProtoOrBuilder getTensorOrBuilder () 

 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
 The client specifies whether the returned tensor values should be
 filled tensor fields (float_val, int_val, etc.) or encoded in a
 compact form in tensor.tensor_content.
.tensorflow.TensorProto tensor = 2;

hasTensor booleano pubblico () 

 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
 The client specifies whether the returned tensor values should be
 filled tensor fields (float_val, int_val, etc.) or encoded in a
 compact form in tensor.tensor_content.
.tensorflow.TensorProto tensor = 2;

public final booleano isInitialized ()

public NamedTensorProto.Builder mergeFrom (input com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Lancia
IOException

pubblico NamedTensorProto.Builder mergeFrom (com.google.protobuf.Message altro)

pubblico NamedTensorProto.Builder mergeTensor (valore TensorProto ) 

 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
 The client specifies whether the returned tensor values should be
 filled tensor fields (float_val, int_val, etc.) or encoded in a
 compact form in tensor.tensor_content.
.tensorflow.TensorProto tensor = 2;

pubblico finale NamedTensorProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)

pubblico NamedTensorProto.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valore oggetto)

pubblico NamedTensorProto.Builder setName (valore stringa) 

 Name of the tensor.
string name = 1;

pubblico NamedTensorProto.Builder setNameBytes (valore com.google.protobuf.ByteString) 

 Name of the tensor.
string name = 1;

public NamedTensorProto.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, indice int, valore oggetto)

public NamedTensorProto.Builder setTensor ( TensorProto.Builder builderForValue) 

 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
 The client specifies whether the returned tensor values should be
 filled tensor fields (float_val, int_val, etc.) or encoded in a
 compact form in tensor.tensor_content.
.tensorflow.TensorProto tensor = 2;

public NamedTensorProto.Builder setTensor (valore TensorProto ) 

 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
 The client specifies whether the returned tensor values should be
 filled tensor fields (float_val, int_val, etc.) or encoded in a
 compact form in tensor.tensor_content.
.tensorflow.TensorProto tensor = 2;

finale pubblico NamedTensorProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)