On 28/04/2022 16:56, Mikko Perttunen wrote:
On 4/28/22 17:10, Thierry Reding wrote:
On Tue, Apr 26, 2022 at 02:07:57PM +0800, Cai Huoqing wrote:
The NVIDIA Deep Learning Accelerator (NVDLA) is an open source IP
which is integrated into NVIDIA Jetson AGX Xavier,
so add driver support for this accelerator."
Hi,
nice to see this work going on. For subsequent revisions, can you please
also Cc the Tegra mailing list (linux-tegra@xxxxxxxxxxxxxxx) as well as
the Tegra platform maintainers (that's Jon Hunter and myself). This will
make sure that more people with an interest in this will see your work.
Not everyone follows dri-devel, linaro-mm-sig or linux-media.
Thanks,
Thierry
From a quick glance it looks like this driver pokes DLA hardware
directly which is not the intended programming model on Tegra hardware
(there are Falcon microcontrollers that offload task scheduling and
synchronization from the CPU). The hardware is also behind the Host1x
bus so a simple platform device is not sufficient.
Was this driver developed against some platform with OpenDLA hardware
(i.e. not Tegra)?
If so, we'd need to verify if the hardware matches the hardware in
Tegra194. Also, this driver may not be ideal for Tegra platforms since
we would lack the hardware scheduling and synchronization facilities. It
is likely necessary to have separate drivers for OpenDLA and Tegra's DLA
integration.
I believe that this is derived from the following github project ...
https://github.com/nvdla/sw
Jon
--
nvpublic
