общедоступный интерфейс NamedTensorProtoOrBuilder
Известные косвенные подклассы |
Публичные методы
абстрактная строка | получитьИмя () Name of the tensor. |
абстрактный com.google.protobuf.ByteString | getNameBytes () Name of the tensor. |
абстрактный TensorProto | получитьТензор () The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors. |
абстрактный TensorProtoOrBuilder | getTensorOrBuilder () The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors. |
абстрактное логическое значение | имеетТензор () The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors. |
Публичные методы
общедоступная абстрактная строка getName ()
Name of the tensor.
string name = 1;
общедоступный абстрактный com.google.protobuf.ByteString getNameBytes ()
Name of the tensor.
string name = 1;
публичный абстрактный 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;
публичный абстрактный 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;
общедоступное абстрактное логическое значение 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;