Xilinx, Inc.
Monitoring method and monitoring device of deep learning processor

Abstract:

Monitoring method and a monitoring device of a deep learning processor, which can effectively monitor running of the deep learning processor, capture an abnormal status in an arbitrary working state, and make the deep learning processor return to a normal state in time is presented. The monitoring method comprises: initializing standard data and storing a standard calculation result corresponding to the standard data, sending the standard data to the deep learning processor, receiving a calculation result returned by the deep learning processor, comparing the received calculation result with the stored standard calculation result, and judging the state of the deep learning processor in accordance with the result of the comparison, judging that the state of the deep learning processor is normal when the compared results are consistent, and judging that the deep learning processor is abnormal when the compared results are inconsistent.