NamedTensorProtoOrBuilder

interface pública NamedTensorProtoOrBuilder
Subclasses indiretas conhecidas

Métodos Públicos

cadeia abstrata
getNome () 
 Name of the tensor.
abstrato com.google.protobuf.ByteString
getNomeBytes () 
 Name of the tensor.
TensorProto abstrato
obterTensor () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
TensorProtoOrBuilder abstrato
getTensorOrBuilder () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.
booleano abstrato
temTensor () 
 The client can populate a TensorProto using a tensorflow::Tensor`, or
 directly using the protobuf field accessors.

Métodos Públicos

String abstrata pública getName () 

 Name of the tensor.
string name = 1;

resumo público com.google.protobuf.ByteString getNameBytes () 

 Name of the tensor.
string name = 1;

público abstrato 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;

público abstrato 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 abstrato público () 

 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;