NamedTensorProto.Builder

classe final pública estática NamedTensorProto.Builder

 A pair of tensor name and tensor values.
 
tensorflow.NamedTensorProto type tensorflow.NamedTensorProto

Métodos Públicos

NamedTensorProto.Builder
addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
NamedTensorProto
build ()
NamedTensorProto
NamedTensorProto.Builder
limpar ()
NamedTensorProto.Builder
clearField (campo com.google.protobuf.Descriptors.FieldDescriptor)
NamedTensorProto.Builder
clearName ()
 Name of the tensor.
NamedTensorProto.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
NamedTensorProto.Builder
clearTensor ()
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
NamedTensorProto.Builder
clone ()
NamedTensorProto
final static com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
Fragmento
getName ()
 Name of the tensor.
com.google.protobuf.ByteString
getNameBytes ()
 Name of the tensor.
TensorProto
getTensor ()
 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.
boleano
hasTensor ()
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
final booleano
NamedTensorProto.Builder
mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
NamedTensorProto.Builder
mergeFrom (com.google.protobuf.Message other)
NamedTensorProto.Builder
mergeTensor (valor TensorProto )
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
final NamedTensorProto.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
NamedTensorProto.Builder
setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
NamedTensorProto.Builder
setName (valor String)
 Name of the tensor.
NamedTensorProto.Builder
setNameBytes (com.google.protobuf.ByteString value)
 Name of the tensor.
NamedTensorProto.Builder
setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto)
NamedTensorProto.Builder
setTensor ( TensorProto.Builder builderForValue)
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
NamedTensorProto.Builder
setTensor (valor TensorProto )
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
final NamedTensorProto.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

Métodos herdados

Métodos Públicos

public NamedTensorProto.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)

public NamedTensorProto build ()

public NamedTensorProto buildPartial ()

public NamedTensorProto.Builder clear ()

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)

public 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;

public NamedTensorProto.Builder clone ()

public NamedTensorProto getDefaultInstanceForType ()

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

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

public String getName ()

 Name of the tensor.
 
string name = 1;

public com.google.protobuf.ByteString getNameBytes ()

 Name of the tensor.
 
string name = 1;

public 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;

public boolean hasTensor ()

 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 boolean isInitialized ()

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

Lança
IOException

public NamedTensorProto.Builder mergeFrom (com.google.protobuf.Message other)

public NamedTensorProto.Builder mergeTensor (valor 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;

public final NamedTensorProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public NamedTensorProto.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)

pública NamedTensorProto.Builder setName (String value)

 Name of the tensor.
 
string name = 1;

public NamedTensorProto.Builder setNameBytes (valor com.google.protobuf.ByteString)

 Name of the tensor.
 
string name = 1;

public NamedTensorProto.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto)

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 (valor 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;

public final NamedTensorProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)