interfaz pública NamedTensorProtoOrBuilder
Subclases indirectas conocidas |
Métodos públicos
cadena abstracta | getName () Name of the tensor. |
resumen com.google.protobuf.ByteString | getNameBytes () Name of the tensor. |
TensorProto abstracto | getTensor () The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors. |
TensorProtoOrBuilder abstracto | getTensorOrBuilder () The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors. |
booleano abstracto | hasTensor () The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors. |
Métodos públicos
público abstracto String getName ()
Name of the tensor.
string name = 1;
resumen público com.google.protobuf.ByteString getNameBytes ()
Name of the tensor.
string name = 1;
TensorProto abstracto público 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;
resumen público 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 abstract 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;