Add new property to support application allocated GstCudaMemory.
CUDA memory alloc/free is a global device synchronization point
as if launching CUDA kernel on default CUDA stream. To avoid the global
synchronization, we added stream-ordered allocation support
which allocates CUDA memory asynchronously.
However, NVENC does not allow registering the stream-ordered
allocated memory. Thus encoder was allocating normal CUDA
memory in case that input CUDA memory is stream-ordered type.
In this commit, newly introduced property will allow application
to provide encoder with GstCudaBufferPool. Application can
preallocate sufficient amount of CUDA memory in advance
to avoid global device synchronization while pipeline is running.
For now, this pool is used only if input CUDA memory is allocated
via stream-ordered-allocation
Part-of: <https://gitlab.freedesktop.org/gstreamer/gstreamer/-/merge_requests/8516>
Call input resource map functions (i.e., nvEncRegisterResource,
nvEncUnregisterResource, nvEncMapInputResource, and
nvEncUnmapInputResource) only once and reuse the mapped resources,
instead of per input frame map/unmap
Part-of: <https://gitlab.freedesktop.org/gstreamer/gstreamer/-/merge_requests/3884>
