Compressing device and method using parameters of quadtree method

A compression method of a neural network processor the method comprising:

• performing,a computation on a feature map and a weight by usinga neural network;
• receiving a tensor comprising a plurality of cells as a result of the computations;
• setting a quantization range of the tensor based on a largest value of a cell among the plurality of cells;
• selectively quantizing the tensor based on the quantization range;
• and
• compressing the quantized tensor.

A device configured to compress a tensor comprising a plurality of cells, the device comprising:

• a quantizer configured to quantize the tensor;
• a quadtree generator configured to generate a quadtree searching for a non-zero cell comprised in the quantized tensor and extract at least one parameter from the quadtree;
• a mode selector configured to determine a compression mode based on the at least one parameter;
• and
• a bitstream generator configured to generate a bitstream by compressing the quantized tensor based on the compression mode.

A neural network processor comprising:

• an arithmetic circuit configured to generate a tensor comprising a plurality of cells by performing a computation on input data by using a neural network;
• and
• a neural tensor compressor configured to output a bitstream by compressing the tensor,
• wherein the neural tensor compressor is further configured to quantize the tensor, to generate a quadtree corresponding a repetitive spatial division method to search for a non-zero cell comprised in the quantized tensor, extract at least one parameter from the quadtree, and determine a compression mode of the bitstream based on the at least one parameter.