Adding the AHB and APB bus clock for Tegra30.
Signed-off-by: NJoseph Lo <josephl@nvidia.com>
Signed-off-by: NStephen Warren <swarren@nvidia.com>

It should use tegra30_audio_sync_clk_ops for tegra30. It will cause
the tegra30 use the wrong audio_sync_clk_ops when build a kernel with
a tegra20 and tegra30 both supported kernel. And building error when
a tegra30-only kernel.
Signed-off-by: NJoseph Lo <josephl@nvidia.com>
Signed-off-by: NStephen Warren <swarren@nvidia.com>

Currently the tegra20 and tegra30 share the same symbol for
tegra_clk_32k_ops. This will cause a compile error when building
a tegra20-only kernel image. Add tegra_clk_32k_ops for tegra20 and
modify tegra30_clk_32k_ops for tegra30.
Signed-off-by: NJoseph Lo <josephl@nvidia.com>
Signed-off-by: NStephen Warren <swarren@nvidia.com>

This patch converts tegra clock code to generic clock framework in following way:
 - Implement clk_ops as required by generic clk framework. (tegraXX_clocks.c)
 - Use platform specific struct clk_tegra in clk_ops implementation instead of struct clk.
 - Initialize all clock data statically. (tegraXX_clocks_data.c)

Legacy framework did not have recalc_rate and is_enabled functions. Implemented these functions.
Removed init function. It's functionality is splitted into recalc_rate and is_enabled.

Static initialization is used since slab is not up in .init_early and clock
is needed to be initialized before clockevent/clocksource initialization.
Macros redefined for clk_tegra.

Also, single struct clk_tegra is used for all type of clocks (PLL, peripheral etc.). This
is to move quickly to generic common clock framework so that other dependent features will
not be blocked (such as DT binding).

Enabling COMMON_CLOCK config moved to ARCH_TEGRA since it is enabled for both Tegra20
and Tegra30.
Signed-off-by: NPrashant Gaikwad <pgaikwad@nvidia.com>
Signed-off-by: NStephen Warren <swarren@nvidia.com>

Move clock initialization data to separate file. This is
required for migrating to generic clock framework if static
initialization is used.
Signed-off-by: NPrashant Gaikwad <pgaikwad@nvidia.com>
Signed-off-by: NStephen Warren <swarren@nvidia.com>