Am 28.10.22 um 20:47 schrieb Daniel Stone:
Hi Christian,
On Fri, 28 Oct 2022 at 18:50, Christian König ckoenig.leichtzumerken@gmail.com wrote:
Am 28.10.22 um 17:46 schrieb Nicolas Dufresne:
Though, its not generically possible to reverse these roles. If you want to do so, you endup having to do like Android (gralloc) and ChromeOS (minigbm), because you will have to allocate DRM buffers that knows about importer specific requirements. See link [1] for what it looks like for RK3399, with Motion Vector size calculation copied from the kernel driver into a userspace lib (arguably that was available from V4L2 sizeimage, but this is technically difficult to communicate within the software layers). If you could let the decoder export (with proper cache management) the non-generic code would not be needed.
Yeah, but I can also reverse the argument:
Getting the parameters for V4L right so that we can share the image is tricky, but getting the parameters so that the stuff is actually directly displayable by GPUs is even trickier.
Essentially you need to look at both sides and interference to get to a common ground, e.g. alignment, pitch, width/height, padding, etc.....
Deciding from which side to allocate from is just one step in this process. For example most dGPUs can't display directly from system memory altogether, but it is possible to allocate the DMA-buf through the GPU driver and then write into device memory with P2P PCI transfers.
So as far as I can see switching importer and exporter roles and even having performant extra fallbacks should be a standard feature of userspace.
Another case where reversing the role is difficult is for case where you need to multiplex the streams (let's use a camera to illustrate) and share that with multiple processes. In these uses case, the DRM importers are volatile, which one do you abuse to do allocation from ? In multimedia server like PipeWire, you are not really aware if the camera will be used by DRM or not, and if something "special" is needed in term of role inversion. It is relatively easy to deal with matching modifiers, but using downstream (display/gpu) as an exporter is always difficult (and require some level of abuse and guessing).
Oh, very good point! Yeah we do have use cases for this where an input buffer is both displayed as well as encoded.
This is the main issue, yeah.
For a standard media player, they would try to allocate through V4L2 and decode through that into locally-allocated buffers. All they know is that there's a Wayland server at the other end of a socket somewhere which will want to import the FD. The server does give you some hints along the way: it will tell you that importing into a particular GPU target device is necessary as the ultimate fallback, and importing into a particular KMS device is preferable as the optimal path to hit an overlay.
So let's say that the V4L2 client does what you're proposing: it allocates a buffer chain, schedules a decode into that buffer, and passes it along to the server to import. The server fails to import the buffer into the GPU, and tells the client this. The client then ... well, it doesn't know that it needs to allocate within the GPU instead, but it knows that doing so might be one thing which would make the request succeed.
But the client is just a video player. It doesn't understand how to allocate BOs for Panfrost or AMD or etnaviv. So without a universal allocator (again ...), 'just allocate on the GPU' isn't a useful response to the client.
Well exactly that's the point I'm raising: The client *must* understand that!
See we need to be able to handle all restrictions here, coherency of the data is just one of them.
For example the much more important question is the location of the data and for this allocating from the V4L2 device is in most cases just not going to fly.
The more common case is that you need to allocate from the GPU and then import that into the V4L2 device. The background is that all dGPUs I know of need the data inside local memory (VRAM) to be able to scan out from it.
I fully understand your point about APIs like Vulkan not sensibly allowing bracketing, and that's fine. On the other hand, a lot of extant usecases (camera/codec -> GPU/display, GPU -> codec, etc) on Arm just cannot fulfill complete coherency. On a lot of these platforms, despite what you might think about the CPU/GPU capabilities, the bottleneck is _always_ memory bandwidth, so mandating extra copies is an absolute non-starter, and would instantly cripple billions of devices. Lucas has been pretty gentle, but to be more clear, this is not an option and won't be for at least the next decade.
Well x86 pretty much has the same restrictions.
For example the scanout buffer is usually always in local memory because you often scan out at up to 120Hz while your recording is only 30fps and most of the time lower resolution.
Pumping all that data 120 time a second over the PCIe bus would just not be doable in a lot of use cases.
So we obviously need a third way at this point, because 'all devices must always be coherent' vs. 'cache must be an unknown' can't work. How about this as a suggestion: we have some unused flags in the PRIME ioctls. Can we add a flag for 'import must be coherent'?
That's pretty much exactly what my patch set does. It just keeps userspace out of the way and says that creating the initial connection between the devices fails if they can't talk directly with each other.
Maybe we should move that into userspace so that the involved components know of hand that a certain approach won't work?
That flag wouldn't be set for the existing ecosystem Lucas/Nicolas/myself are talking about, where we have explicit handover points and users are fully able to perform cache maintenance. For newer APIs where it's not possible to properly express that bracketing, they would always set that flag (unless we add an API carve-out where the client promises to do whatever is required to maintain that).
Would that be viable?
No, as I said. Explicit handover points are just an absolutely no-go. We just have way to many use cases which don't work with that idea.
As I said we made the same mistake with the DMA-Api and even more 20 years later are still running into problems because of that.
Just try to run any dGPU under a XEN hypervisor with memory fragmentation for a very good example why this is such a bad idea.
Regards, Christian.
Cheers, Daniel