A solution for visual data processing is provided. A method for visual data processing is proposed. The method comprises: performing a first conversion between visual data and a bitstream of the visual data with a neural network (NN)-based model, the first conversion comprising at least one of the following: converting, based on a first predetermined order, a first tensor having more than one dimension to a one-dimensional first array, the first tensor and the first array storing first data associated with the visual data, and the first predetermined order indicating a correspondence between samples of the first tensor and samples of the first array, or converting, based on a second predetermined order, a one-dimensional second array to a second tensor having more than one dimension, the second tensor and the second array storing second data associated with the visual data.