This is possible because the lifetime of these structures coincide.
It has the advantage of allowing to remove AVHWFramesInternal
from the public header; given that AVHWFramesInternal.priv is no more,
most accesses to AVHWFramesInternal are no more; indeed, the only
field accessed of it outside of hwcontext.c is the internal frame pool,
making this commit very simple.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
Use AVHWFramesContext.hwctx instead.
This simplifies accesses to VDPAUFramesContext as one no longer has
to go through AVHWFramesInternal.
Tested-by: Timo Rothenpieler <timo@rothenpieler.org>
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
nvenc declares support for these formats, but if hwcontext_cuda doesn't
do that as well, then it's not possible to hwupload them for use in a
possible cuda pipeline before encoding.
This allows for users who derive devices to set options for the
new device context they derive.
The main use case of this is to allow users to enable extensions
(such as surface drawing extensions) in Vulkan while deriving from
the device their frames are on. That way, users don't need to write
any initialization code themselves, since the Vulkan spec invalidates
mixing instances, physical devices and active devices.
Apart from Vulkan, other hwcontexts ignore the opts argument since they
don't support options at all (or in VAAPI and OpenCL's case, options are
currently only used for device selection, which device_derive overrides).
This commit adds the necessary code to initialize and use a Vulkan device
within the hwcontext libavutil framework.
Currently direct mapping to VAAPI and DRM frames is functional, and
transfers to CUDA and native frames are supported.
Lets hope the future Vulkan video decode extension fits well within this
framework.
Similarly to the previous changes, we don't need to synchronise
after a memcpy to device memory. On the other hand, we need to
keep synchronising after a copy to host memory, otherwise there's
no guarantee that subsequent host reads will return valid data.
We have a pattern of wrapping CUDA calls to print errors and
normalise return values that is used in a couple of places. To
avoid duplication and increase consistency, let's put the wrapper
implementation in a shared place and use it everywhere.
Affects:
* avcodec/cuviddec
* avcodec/nvdec
* avcodec/nvenc
* avfilter/vf_scale_cuda
* avfilter/vf_scale_npp
* avfilter/vf_thumbnail_cuda
* avfilter/vf_transpose_npp
* avfilter/vf_yadif_cuda
