interface pública NamedTensorProtoOrBuilder
Subclasses indiretas conhecidas |
Métodos Públicos
String abstrata | getName () Name of the tensor. |
abstract com.google.protobuf.ByteString | getNameBytes () Name of the tensor. |
TensorProto abstrato | getTensor () 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 | hasTensor () The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors. |
Métodos Públicos
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;