NamedTensorProtoOrBuilder

interfejs publiczny NamedTensorProtoOrBuilder
Znane podklasy pośrednie

Metody publiczne

abstrakcyjny ciąg
pobierz nazwę () 
 Name of the tensor.
streszczenie com.google.protobuf.ByteString
getNameBytes () 
 Name of the tensor.
abstrakcyjny TensorProto
pobierz Tensor () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
streszczenie TensorProtoOrBuilder
getTensorOrBuilder () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
abstrakcyjna wartość logiczna
maTensor () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.

Metody publiczne

publiczna abstrakcja String getName () 

 Name of the tensor.
string name = 1;

publiczne streszczenie com.google.protobuf.ByteString getNameBytes () 

 Name of the tensor.
string name = 1;

publiczne streszczenie 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;

publiczne streszczenie 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;

publiczna wartość logiczna abstrakcyjna 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;