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Move gk20a/platform_gk20a.h to linux specific directory as
common/linux/platform_gk20a.h since this file includes all linux specific
stuff
Fix #includes in all the files to include this file with correct path
Remove #include of this file where it is no more needed
Fix gk20a_init_sim_support() to receive struct gk20a as parameter
instead of receiving linux specific struct platform_device
NVGPU-316
Change-Id: I5ec08e776b753af4d39d11c11f6f068be2ac236f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1589938
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Split the ctxsw trace "core" API code into <nvgpu/ctxsw_trace.h>. This
is not perect though since there's some Linuxisms present in the HAL
and as such that code has to be hidden by the ctxsw tracing CONFIG. But
this patch should work for QNX such that it will allow the code to
build as long as CONFIG_GK20A_CTXSW_TRACE is not set.
Also fix the copywrite notice in the ctxsw code present under
common/linux to be GPL.
JIRA NVGPU-287
Change-Id: I94715864caf335b7220185492e4629d713b025e0
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1589429
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Migrate ctxsw_trace_gk20a.c to common/linux/ctxsw_trace.c. This
has been done becasue the ctxsw tracing code is currently too
tightly tied to the Linux OS due to usage of a couple system calls:
- poll()
- mmap()
And general Linux driver framework code. As a result pulling the
logic out of the FECS tracing code is simply too large a scope for
time time being.
Instead the code was just copied as much as possible. The HAL ops
for the FECS code was hidden behind the FECS tracing config so
that the vm_area_struct is not used when QNX does not define said
config. All other non-HAL functions called by the FECS ctxsw
tracing code ha now also been hidden by this config. This is not
pretty but for the time being it seems like the way to go.
JIRA NVGPU-287
Change-Id: Ib880ab237f4abd330dc66998692c86c4507149c2
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1586547
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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