NamedTensorProtoOrBuilder

interface publique NamedTensorProtoOrBuilder
Sous-classes indirectes connues

Méthodes publiques

chaîne abstraite
obtenirNom ()
 Name of the tensor.
résumé com.google.protobuf.ByteString
getNameBytes ()
 Name of the tensor.
TensorProto abstrait
getTensor ()
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
abstrait TensorProtoOrBuilder
getTensorOrBuilder ()
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
booléen abstrait
hasTensor ()
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.

Méthodes publiques

chaîne abstraite publique getName ()

nom de chaîne

 Name of the tensor.
string name = 1;

résumé public com.google.protobuf.ByteString getNameBytes ()

nom de chaîne

 Name of the tensor.
string name = 1;

résumé public TensorProto getTensor ()

tenseur

 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;

résumé public TensorProtoOrBuilder getTensorOrBuilder ()

tenseur

 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 abstrait booléen hasTensor ()

tenseur

 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;