gpu: nvgpu: split vidmem_is_vidmem

Use the new honors_aperture and unified_memory flags instead of
vidmem_is_vidmem.

Jira NVGPU-86

Change-Id: I5df8b119d30b255fa8d841cec747a187ce3fa588
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: http://git-master/r/1496081
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 17:44:58 +03:00
committed by mobile promotions
parent 8d63a519d9
commit fa0cf69d0f

View File

@@ -88,9 +88,6 @@ static int gv11b_tegra_probe(struct device *dev)
platform->g->gr.t18x.ctx_vars.force_preemption_gfxp = false;
platform->g->gr.t18x.ctx_vars.force_preemption_cilp = false;
/* soc memory accessed as system memory aperture */
platform->g->mm.vidmem_is_vidmem = platform->vidmem_is_vidmem;
gp10b_tegra_get_clocks(dev);
nvgpu_linux_init_clk_support(platform->g);
@@ -155,7 +152,8 @@ struct gk20a_platform t19x_gpu_tegra_platform = {
.soc_name = "tegra19x",
.vidmem_is_vidmem = true,
.honors_aperture = true,
.unified_memory = true,
.reset_assert = gp10b_tegra_reset_assert,
.reset_deassert = gp10b_tegra_reset_deassert,