gpu: nvgpu: split vidmem_is_vidmem

As the vidmem_is_vidmem flag has got two separate meanings in one bit,
split it in two bits into the enabled() API:

Add NVGPU_MM_HONORS_APERTURE bit, which is the same as vidmem_is_vidmem
with its original meaning, and use it to test which aperture bits to
write to hardware.

Add NVGPU_MM_UNIFIED_MEMORY bit, which has the opposite meaning: that
the GPU shares the SoC memory. When this flag is false, the GPU has its
own local video memory.

Jira NVGPU-86

Change-Id: I2d0bed3b1ede5a712be99323d3035b154bb23c3a
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: http://git-master/r/1496080
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
This commit is contained in:
Konsta Holtta
2017-06-05 17:40:44 +03:00
committed by mobile promotions
parent 26487b82df
commit 80197d2c9d
11 changed files with 33 additions and 25 deletions

View File

@@ -133,8 +133,10 @@ static void nvgpu_init_mm_vars(struct gk20a *g)
g->mm.bypass_smmu = platform->bypass_smmu;
g->mm.disable_bigpage = platform->disable_bigpage;
g->mm.vidmem_is_vidmem = platform->vidmem_is_vidmem;
__nvgpu_set_enabled(g, NVGPU_MM_HONORS_APERTURE,
platform->honors_aperture);
__nvgpu_set_enabled(g, NVGPU_MM_UNIFIED_MEMORY,
platform->unified_memory);
__nvgpu_set_enabled(g, NVGPU_MM_UNIFY_ADDRESS_SPACES,
platform->unify_address_spaces);