NamedTensorProtoOrBuilder

interfaccia pubblica denominata TensorProtoOrBuilder
Sottoclassi indirette conosciute

Metodi pubblici

stringa astratta
getNome () 
 Name of the tensor.
astratto com.google.protobuf.ByteString
getNomeBytes () 
 Name of the tensor.
TensoreProto astratto
getTensore () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
astratto TensorProtoOrBuilder
getTensorOrBuilder () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
booleano astratto
haTensore () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.

Metodi pubblici

stringa astratta pubblica getName () 

 Name of the tensor.
string name = 1;

estratto pubblico com.google.protobuf.ByteString getNameBytes () 

 Name of the tensor.
string name = 1;

estratto 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;

estratto pubblico 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 astratto 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;