public interface
NamedTensorProtoOrBuilder
| Known Indirect Subclasses |
Public Methods
| abstract String |
getName()
Name of the tensor. |
| abstract com.google.protobuf.ByteString |
getNameBytes()
Name of the tensor. |
| abstract TensorProto |
getTensor()
The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors. |
| abstract TensorProtoOrBuilder |
getTensorOrBuilder()
The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors. |
| abstract boolean |
hasTensor()
The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors. |
Public Methods
public abstract String getName ()
Name of the tensor.
string name = 1;
public abstract com.google.protobuf.ByteString getNameBytes ()
Name of the tensor.
string name = 1;
public abstract 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;
public abstract 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;