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