Commit graph

10 commits

Author SHA1 Message Date
Seungha Yang
592a8d5400 nvcodec: Add generic CUDA video convert object
Introducing generic video convert object similar to video-converter
but using CUDA.

Part-of: <https://gitlab.freedesktop.org/gstreamer/gst-plugins-bad/-/merge_requests/1633>
2020-10-16 15:56:49 +00:00
Seungha Yang
cf5ef5635f nvcodec: Add CUDA specific memory and bufferpool
Introducing CUDA buffer pool with generic CUDA memory support.
Likewise GL memory, any elements which are able to access CUDA device
memory directly can map this CUDA memory without upload/download
overhead via the "GST_MAP_CUDA" map flag.
Also usual GstMemory map/unmap is also possible with internal staging memory.

For staging, CUDA Host allocated memory is used (see CuMemAllocHost API).
The memory is allowing system access but has lower overhead
during GPU upload/download than normal system memory.

Part-of: <https://gitlab.freedesktop.org/gstreamer/gst-plugins-bad/-/merge_requests/1633>
2020-10-16 15:56:49 +00:00
Seungha Yang
22eab50907 nvdec: Add fallback for CUDA/OpenGL interop failure
It happens when local OpenGL context belongs to non-nvidia GPU.
2020-03-19 13:58:09 +09:00
Nirbheek Chauhan
1a7ea45ffd nvcodec: Fix crash on 32-bit Windows
We weren't using the correct calling convention when calling CUDA and
CUVID APIs. `CUDAAPI` is `__stdcall` on Windows. This was working fine
on x64 because `__stdcall` is ignored and there's no special calling
convention. However, on x86, we need to use `__stdcall`.
2020-01-20 17:15:55 +05:30
Nirbheek Chauhan
7e93ae0638 nvcodec: cuda.h only needs glib.h, not gst.h
Just a nitpick. Also, force the compiler to use our stub header
instead of searching for it in the include paths.
2020-01-20 15:10:51 +05:30
Seungha Yang
da075b94a9 cudautils: Add GstCudaGraphicsResource structure for better openGL interoperability
Introduce GstCudaGraphicsResource structure to represent registered
CUDA graphics resources and to enable sharing the information among
nvdec and nvenc. This structure can reduce the number of resource
registration which cause high overhead.
2019-08-29 18:04:33 +09:00
Seungha Yang
5615e9258f nvdec: Don't use default CUDA stream
Async CUDA operation with default stream (NULL CUstream) is not much
beneficial than blocking operation since all CUDA operations which belong
to the CUDA context will be synchronized with the default stream's operation.
Note that CUDA stream will share all resources of the corresponding CUDA context
but which can help parallel operation similar to the relation between thread and process
2019-08-19 01:18:52 +00:00
Seungha Yang
3faf439347 nvcodec: Fix broken ABI in cuda stub header to fix nvenc with opengl
Fix the broken ABI introduced by the commit 367e742e5d
From CUDA Toolkit 3.2, size_t has been used in CUDA_MEMCPY2D structure
instead of unsigned int.
2019-07-30 11:13:18 +09:00
Seungha Yang
694f91da88 nvdec: Make OpenGL dependency optional
By adding system memory support for nvdec, both en/decoder
in the nvcodec plugin are able to be usable regardless of
OpenGL dependency. Besides, the direct use of system memory
might have less overhead than OpenGL memory depending on use cases.
(e.g., transcoding using S/W encoder)
2019-07-26 00:01:23 +00:00
Seungha Yang
367e742e5d nvcodec: Drop system installed cuda.h dependency
... and add our stub cuda header.

Newly introduced stub cuda.h file is defining minimal types in order to
build nvcodec plugin without system installed CUDA toolkit dependency.
This will make cross-compile possible.
2019-07-23 16:32:31 +09:00