| Commit message (Collapse) | Author | Age |
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We are currently unnecessarily including vulkan headers even when
not building with vulkan support. I also guarded the GL header
inclusion even though this doesn't appear to break anything today.
Fixes #6330.
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Currently, the error paths in init() are a bit confusing, and we can
end up trying to pop the current context when there is no context,
which leads to distracting error messages.
I also added an explicit path to return early if the GPU backend is
not OpenGL or Vulkan. It's pointless to do any other cuda init
after that point. (Of course, someone could write more interops.)
Fixes #6256
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Despite their place in the tree, hwdecs can be loaded and used just
fine by the vulkan GPU backend.
In this change we add Vulkan interop support to the cuda/nvdec hwdec.
The overall process is mostly straight forward, so the main observation
here is that I had to implement it using an intermediate Vulkan buffer
because the direct VkImage usage is blocked by a bug in the nvidia
driver. When that gets fixed, I will revist this.
Nevertheless, the intermediate buffer copy is very cheap as it's all
device memory from start to finish. Overall CPU utilisiation is pretty
much the same as with the OpenGL GPU backend.
Note that we cannot use a single intermediate buffer - rather there
is a pool of them. This is done because the cuda memcpys are not
explicitly synchronised with the texture uploads.
In the basic case, this doesn't matter because the hwdec is not
asked to map and copy the next frame until after the previous one
is rendered. In the interpolation case, we need extra future frames
available immediately, so we'll be asked to map/copy those frames
and vulkan will be asked to render them. So far, harmless right? No.
All the vulkan rendering, including the upload steps, are batched
together and end up running very asynchronously from the CUDA copies.
The end result is that all the copies happen one after another, and
only then do the uploads happen, which means all textures are uploaded
the same, final, frame data. Whoops. Unsurprisingly this results in
the jerky motion because every 3/4 frames are identical.
The buffer pool ensures that we do not overwrite a buffer that is
still waiting to be uploaded. The ra_buf_pool implementation
automatically checks if existing buffers are available for use and
only creates a new one if it really has to. It's hard to say for sure
what the maximum number of buffers might be but we believe it won't
be so large as to make this strategy unusable. The highest I've seen
is 12 when using interpolation with tscale=bicubic.
A future optimisation here is to synchronise the CUDA copies with
respect to the vulkan uploads. This can be done with shared semaphores
that would ensure the copy of the second frames only happens after the
upload of the first frame, and so on. This isn't trivial to implement
as I'd have to first adjust the hwdec code to use asynchronous cuda;
without that, there's no way to use the semaphore for synchronisation.
This should result in fewer intermediate buffers being required.
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The CUDA dynamic loader was broken out of ffmpeg into its own repo
and package. This gives us an opportunity to re-use it in mpv and
remove our custom loader logic.
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With the recent changes, mpv's internal mechanisms got synced to
libavcodec's once more. Some things are still needed for filters (until
the mechanism gets replaced), but there's no need to require other hwdec
methods to use these fields. So remove them where they are unnecessary.
Also fix some minor leaks in the dxva2 backends, and set the driver_name
field in the Apple ones. Untested on Apple crap.
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The testing_only field is not referenced anymore with vaglx removed and
the previous commit dropping all uses.
The ra_hwdec_driver.api field became unused with the previous commit,
but all hwdec interop drivers still initialized it.
Since this touches highly OS-specific code, build regressions are
possible (plus the previous commit might break hw decoding at runtime).
At least hwdec_cuda.c still used the .api field, other than initializing
it.
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This is just a dumb consequence of HWDEC_ types somehow being part of
both decoder and VO. Obviously, the VO should only care about supporting
specific hardware surface types or providing specific device types, but
until they are separated, stupid unintuitive mismatches will occur.
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See manpage additions.
(In ffmpeg-mpv and Libav, this is still called "cuvid". Libav won't work
yet, because it has no frame params support yet, but this could get
fixed soon.)
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This is done in several steps:
1. refactor MPGLContext -> struct ra_ctx
2. move GL-specific stuff in vo_opengl into opengl/context.c
3. generalize context creation to support other APIs, and add --gpu-api
4. rename all of the --opengl- options that are no longer opengl-specific
5. move all of the stuff from opengl/* that isn't GL-specific into gpu/
(note: opengl/gl_utils.h became opengl/utils.h)
6. rename vo_opengl to vo_gpu
7. to handle window screenshots, the short-term approach was to just add
it to ra_swchain_fns. Long term (and for vulkan) this has to be moved to
ra itself (and vo_gpu altered to compensate), but this was a stop-gap
measure to prevent this commit from getting too big
8. move ra->fns->flush to ra_gl_ctx instead
9. some other minor changes that I've probably already forgotten
Note: This is one half of a major refactor, the other half of which is
provided by rossy's following commit. This commit enables support for
all linux platforms, while his version enables support for all non-linux
platforms.
Note 2: vo_opengl_cb.c also re-uses ra_gl_ctx so it benefits from the
--opengl- options like --opengl-early-flush, --opengl-finish etc. Should
be a strict superset of the old functionality.
Disclaimer: Since I have no way of compiling mpv on all platforms, some
of these ports were done blindly. Specifically, the blind ports included
context_mali_fbdev.c and context_rpi.c. Since they're both based on
egl_helpers, the port should have gone smoothly without any major
changes required. But if somebody complains about a compile error on
those platforms (assuming anybody actually uses them), you know where to
complain.
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This does two separate rather intrusive things:
1. Make the hwdec context (which does initialization, provides the
device to the decoder, and other basic state) and frame mapping
(getting textures from a mp_image) separate. This is more
flexible, and you could map multiple images at once. It will
help removing some hwdec special-casing from video.c.
2. Switch all hwdec API use to ra. Of course all code is still
GL specific, but in theory it would be possible to support other
backends. The most important change is that the hwdec interop
returns ra objects, instead of anything GL specific. This removes
the last dependency on GL-specific header files from video.c.
I'm mixing these separate changes because both requires essentially
rewriting all the glue code, so better do them at once. For the same
reason, this change isn't done incrementally.
hwdec_ios.m is untested, since I can't test it. Apart from superficial
mistakes, this also requires dealing with Apple's texture format
fuckups: they force you to use GL_LUMINANCE[_ALPHA] instead of GL_RED
and GL_RG. We also need to report the correct format via ra_tex to
the renderer, which is done by find_la_variant(). It's unknown whether
this works correctly.
hwdec_rpi.c as well as vo_rpi.c are still broken. (I need to pull my
RPI out of a dusty pile of devices and cables, so, later.)
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Probably explains quality issues in some cases.
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In a multi GPU scenario, it may be desirable to use different GPUs
for decode and display responsibilities. For example, if a secondary
GPU has better video decoding capabilities.
In such a scenario, we need to initialise a separate context for each
GPU, and use the display context in hwdec_cuda, while passing the
decode context to avcodec.
Once that's done, the actually hand-off between the two GPUs is
transparent to us (It happens during the cuMemcpy2D operation which
copies the decoded frame from a cuda buffer to the OpenGL texture).
In the end, the bulk of the work is around introducing a new
configuration option to specify the decode device.
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Gives us automatically support for all formats vo_opengl supports.
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Because it allows easier testing of filters + hwdec.
Make the texture setup code a bit more generic so it doesn't get too
much of a mess. We also use the GL renderer utility function
gl_find_unorm_format(), which saves us additional work with OpenGL's
semi-redundant format specifiers.
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So we can use it for filtering later.
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mp_image_hw_download() is a libavutil wrapper added in the previous
commit. We drop our own code completely, as everything is provided by
libavutil and our helper wrapper.
This breaks the screenshot code, so that has to be adjusted as well.
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After various simplifications, these includes simply aren't needed
now.
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Improves autoprobe behavior. This is equivalent to other hwdec interop
wrappers. If CUDA is just not available, it should remain silent.
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is not present
If CUDA SDK wasn't installed, mpv crashed immediately with the message "Failed to load CUDA symbols"
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This change applies the pattern used in ffmpeg to dynamically load
cuda, to avoid requiring the CUDA SDK at build time.
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The latest 375.xx nvidia drivers add support for P016 output
surfaces. In combination with an ffmpeg change to return those
surfaces, we can display them.
The bulk of the work is related to knowing which format you're
dealing with at the right time. Once you know, it's straight forward.
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Obviously, in the vast majority of cases, there's only one device
in the system, but doing this means we're more likely to get a
usable device in the multi-device case.
cuda would support decoding on one device and displaying on another
but the peer memory handling is not transparent and I have no way
to test it so I can't really write it.
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The documentation around this stuff is poor, but I found an nvidia
sample that demonstrates how to use the interop API most efficiently.
(https://github.com/nvpro-samples/gl_cuda_interop_pingpong_st)
Key lessons are:
1) you can register the texture itself and have cuda write to it,
thereby skipping an additional copy through the PBO.
2) You don't have to be mapped when you do the copy - once you get a
mapped pointer, it remains valid. Magic!
This lets us throw out the PBOs as well as much of the explicit
alignment and stride handling.
CPU usage is slightly (~3%) lower for 4K content in one test case,
so it makes a detectable difference, and presumably saves memory.
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Data has to be copied to system memory for screenshots.
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The nvidia examples use the old (as in CUDA 3.x) interop API which
is deprecated, and I think not even functional on recent versions
of CUDA for windows. As I was following the examples, I used this
old API.
So, let's update to the new API, and hopefully, it'll start working
on windows too.
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Nvidia's "NvDecode" API (up until recently called "cuvid" is a cross
platform, but nvidia proprietary API that exposes their hardware
video decoding capabilities. It is analogous to their DXVA or VDPAU
support on Windows or Linux but without using platform specific API
calls.
As a rule, you'd rather use DXVA or VDPAU as these are more mature
and well supported APIs, but on Linux, VDPAU is falling behind the
hardware capabilities, and there's no sign that nvidia are making
the investments to update it.
Most concretely, this means that there is no VP8/9 or HEVC Main10
support in VDPAU. On the other hand, NvDecode does export vp8/9 and
partial support for HEVC Main10 (more on that below).
ffmpeg already has support in the form of the "cuvid" family of
decoders. Due to the design of the API, it is best exposed as a full
decoder rather than an hwaccel. As such, there are decoders like
h264_cuvid, hevc_cuvid, etc.
These decoders support two output paths today - in both cases, NV12
frames are returned, either in CUDA device memory or regular system
memory.
In the case of the system memory path, the decoders can be used
as-is in mpv today with a command line like:
mpv --vd=lavc:h264_cuvid foobar.mp4
Doing this will take advantage of hardware decoding, but the cost
of the memcpy to system memory adds up, especially for high
resolution video (4K etc).
To avoid that, we need an hwdec that takes advantage of CUDA's
OpenGL interop to copy from device memory into OpenGL textures.
That is what this change implements.
The process is relatively simple as only basic device context
aquisition needs to be done by us - the CUDA buffer pool is managed
by the decoder - thankfully.
The hwdec looks a bit like the vdpau interop one - the hwdec
maintains a single set of plane textures and each output frame
is repeatedly mapped into these textures to pass on.
The frames are always in NV12 format, at least until 10bit output
supports emerges.
The only slightly interesting part of the copying process is that
CUDA works by associating PBOs, so we need to define these for
each of the textures.
TODO Items:
* I need to add a download_image function for screenshots. This
would do the same copy to system memory that the decoder's
system memory output does.
* There are items to investigate on the ffmpeg side. There appears
to be a problem with timestamps for some content.
Final note: I mentioned HEVC Main10. While there is no 10bit output
support, NvDecode can return dithered 8bit NV12 so you can take
advantage of the hardware acceleration.
This particular mode requires compiling ffmpeg with a modified
header (or possibly the CUDA 8 RC) and is not upstream in ffmpeg
yet.
Usage:
You will need to specify vo=opengl and hwdec=cuda.
Note that hwdec=auto will probably not work as it will try to use
vdpau first.
mpv --hwdec=cuda --vo=opengl foobar.mp4
If you want to use filters that require frames in system memory,
just use the decoder directly without the hwdec, as documented
above.
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Philip Langdale
wm4
Niklas Haas
pavelxdd