Rockchip NPU update 5: Progress on the kernel driver

 It has been almost a year since my last update on the Rockchip NPU, and though I'm a bit sad that I haven't had more time to work on it, I'm happy that I found some time earlier this year for this.

Quoting from my last update on the Rockchip NPU driver:

The kernel driver is able to fully use the three cores in the NPU, giving us the possibility of running 4 simultaneous object detection inferences such as the one below on a stream, at almost 30 frames per second.

 

All feedback has been incorporated in a new revision of the kernel driver and it was submitted to the Linux kernel mailing list.

Though I'm very happy with the direction the kernel driver is taking, I would have liked to make faster progress on it. I have spent the time since the first revision on making the Etnaviv NPU driver ready to be deployed in production (will be blogging about this soon), and also had to take some non-upstream work to pay my bills.

Next I plan to cleanup the userspace driver so it's ready for review, and then I will go for a third revision of the kernel driver.

Rockchip NPU update 4: Kernel driver for the RK3588 NPU submitted to mainline

In the past few weeks I have been working on among other things a kernel driver for the NPU in the Rockchip RK3588 SoC, new from the ground up.

It is now fully working and after a good amount of polishing I sent it yesterday to the kernel mailing lists, for review. Those interested can see the code and follow the review process at this link.

The kernel driver is able to fully use the three cores in the NPU, giving us the possibility of running 4 simultaneous object detection inferences such as the one below on a stream, at almost 30 frames per second.

 

The userspace  driver is in a less polished state, but already fully featured. I will be working on this in the next few days so it can be properly submitted for review.

This is the first accelerator-only driver for an edge NPU submitted to the mainline kernel, and hopefully it can serve as a template for the next ones to come, as the differences among NPUs of different vendors are relatively superficial.