رابط استاتیک عمومی TensorInfo.CooSparseOrBuilder
زیر کلاس های غیر مستقیم شناخته شده |
روش های عمومی
رشته انتزاعی | getDenseShapeTensorName () The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. |
چکیده com.google.protobuf.ByteString | getDenseShapeTensorNameBytes () The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. |
رشته انتزاعی | getIndicesTensorName () The indices Tensor must have dtype int64 and shape [?, ?]. |
چکیده com.google.protobuf.ByteString | getIndicesTensorNameBytes () The indices Tensor must have dtype int64 and shape [?, ?]. |
رشته انتزاعی | getValuesTensorName () The shape of the values Tensor is [?]. |
چکیده com.google.protobuf.ByteString | getValuesTensorNameBytes () The shape of the values Tensor is [?]. |
روش های عمومی
رشته انتزاعی عمومی getDenseShapeTensorName ()
The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. It must have dtype int64 and shape [?].
string dense_shape_tensor_name = 3;
چکیده عمومی com.google.protobuf.ByteString getDenseShapeTensorNameBytes ()
The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. It must have dtype int64 and shape [?].
string dense_shape_tensor_name = 3;
رشته انتزاعی عمومی getIndicesTensorName ()
The indices Tensor must have dtype int64 and shape [?, ?].
string indices_tensor_name = 2;
چکیده عمومی com.google.protobuf.ByteString getIndicesTensorNameBytes ()
The indices Tensor must have dtype int64 and shape [?, ?].
string indices_tensor_name = 2;
رشته انتزاعی عمومی getValuesTensorName ()
The shape of the values Tensor is [?]. Its dtype must be the dtype of the SparseTensor as a whole, given in the enclosing TensorInfo.
string values_tensor_name = 1;
عمومی انتزاعی com.google.protobuf.ByteString getValuesTensorNameBytes ()
The shape of the values Tensor is [?]. Its dtype must be the dtype of the SparseTensor as a whole, given in the enclosing TensorInfo.
string values_tensor_name = 1;