Abstract: Provided is a model interpretation method, an image processing method, an electronic device and a storage medium, relating to the field of artificial intelligence, in particular to the field of deep learning. The model interpretation method includes: obtaining a token vector corresponding to an image feature input to a first model; obtaining a model prediction result output by the first model; and determining, according to a combination of an attention weight and a gradient, an association relation between the token vector input to the first model and the model prediction result output by the first model, where the association relation is used to characterize interpretability of the first model.

Abstract: A system and method for managing data in a ring buffer is disclosed. The system includes a legacy ring buffer functioning as an on-chip ring buffer, a supplemental buffer for storing data in the ring buffer, a preload ring buffer that is on-chip and capable of receiving preload data from the supplemental buffer, a write controller that determines where to write data that is write requested by a write client of the ring buffer, and a read controller that controls a return of data to a read client pursuant to a read request to the ring buffer.

Abstract: A system and method for managing data in a ring buffer is disclosed. The system includes a legacy ring buffer functioning as an on-chip ring buffer, a supplemental buffer for storing data in the ring buffer, a preload ring buffer that is on-chip and capable of receiving preload data from the supplemental buffer, a write controller that determines where to write data that is write requested by a write client of the ring buffer, and a read controller that controls a return of data to a read client pursuant to a read request to the ring buffer.

Abstract: A system and method for managing data in a ring buffer is disclosed. The system includes a legacy ring buffer functioning as an on-chip ring buffer, a supplemental buffer for storing data in the ring buffer, a preload ring buffer that is on-chip and capable of receiving preload data from the supplemental buffer, a write controller that determines where to write data that is write requested by a write client of the ring buffer, and a read controller that controls a return of data to a read client pursuant to a read request to the ring buffer.

Abstract: A system and method for managing data in a ring buffer is disclosed. The system includes a legacy ring buffer functioning as an on-chip ring buffer, a supplemental buffer for storing data in the ring buffer, a preload ring buffer that is on-chip and capable of receiving preload data from the supplemental buffer, a write controller that determines where to write data that is write requested by a write client of the ring buffer, and a read controller that controls a return of data to a read client pursuant to a read request to the ring buffer.

Abstract: A method of reducing power consumption in a computing platform is disclosed. An endpoint-device that is coupled to the computing platform includes a first data buffer and a second data buffer. The first data buffer buffers outgoing data to be transmitted to an external device via a first communications medium. The second data buffer buffers incoming data received from the external device via the first communications medium. At least one of the first or second data buffers may selectively communicate with the computing platform, via a second communications medium, during an active window of the other data buffer. The active window may be requested by the first and/or second data buffers based, at least in part, on a system idle signal. For some embodiments, the first communications medium is an Ethernet link. Further, for some embodiments, the second communications medium is a Peripheral Component Interconnect Express (PCIe) link.