| Commit message (Collapse) | Author | Age | Files | Lines |
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The display architecture on Tegra186 and Tegra194 requires that there be
some valid clock on all domains before accessing any display register. A
further requirement is that in addition to the host1x, hub, disp and dsc
clocks, all the head clocks (pclk0-2 on Tegra186 or pclk0-3 on Tegra194)
must also be enabled.
Implement this logic within the display hub driver to ensure the clocks
are always enabled at the right time.
Signed-off-by: Thierry Reding <treding@nvidia.com>
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The display hub integrated into Tegra194 is almost identical to the one
found on Tegra186. However, it doesn't support DSC (display stream
compression) so it isn't fully compatible.
Signed-off-by: Thierry Reding <treding@nvidia.com>
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Rather than subclass the global atomic state to store the hub display
clock and rate, create a private object and store this data in its
state.
Signed-off-by: Thierry Reding <treding@nvidia.com>
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Traditionally, windows were accessed indirectly, through a register
selection window that required a global register to be programmed with
the index of the window to access. Since the global register could be
written from modesetting functions as well as the interrupt handler
concurrently, accesses had to be serialized using a lock. Using direct
accesses to the window registers the lock can be avoided.
Signed-off-by: Thierry Reding <treding@nvidia.com>
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The display architecture has changed in several significant ways with
the new Tegra186 SoC. Shared between all display controllers is a set
of common resources referred to as the display hub. The hub generates
accesses to memory and feeds them into various composition pipelines,
each of which being a window that can be assigned to arbitrary heads.
Atomic state is subclassed in order to track the global bandwidth
requirements and select and adjust the hub clocks appropriately. The
plane code is shared to a large degree with earlier SoC generations,
except where the programming differs.
Signed-off-by: Thierry Reding <treding@nvidia.com>
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