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authorTejun Heo <tj@kernel.org>2024-09-11 08:43:26 -1000
committerTejun Heo <tj@kernel.org>2024-09-11 08:43:26 -1000
commit0b1777f0fa045c561fd26c8fda61f5eb7a930ed3 (patch)
tree7f61b85ef4ab6ba1f4d5b6ee477c9f5b36a92690 /include/uapi
parent513ed0c7ccc103c2ff668154854ec410729a3170 (diff)
parentbc9057da1a220ff2cb6c8885fd5352558aceba2c (diff)
Merge branch 'tip/sched/core' into sched_ext/for-6.12
Pull in tip/sched/core to resolve two merge conflicts: - 96fd6c65efc6 ("sched: Factor out update_other_load_avgs() from __update_blocked_others()") 5d871a63997f ("sched/fair: Move effective_cpu_util() and effective_cpu_util() in fair.c") A simple context conflict. The former added __update_blocked_others() in the same #ifdef CONFIG_SMP block that effective_cpu_util() and sched_cpu_util() are in and the latter moved those functions to fair.c. This makes __update_blocked_others() more out of place. Will follow up with a patch to relocate. - 96fd6c65efc6 ("sched: Factor out update_other_load_avgs() from __update_blocked_others()") 84d265281d6c ("sched/pelt: Use rq_clock_task() for hw_pressure") The former factored out the body of __update_blocked_others() into update_other_load_avgs(). The latter changed how update_hw_load_avg() is called in the body. Resolved by applying the change to update_other_load_avgs() instead. Signed-off-by: Tejun Heo <tj@kernel.org>
Diffstat (limited to 'include/uapi')
-rw-r--r--include/uapi/linux/sched/types.h6
1 files changed, 3 insertions, 3 deletions
diff --git a/include/uapi/linux/sched/types.h b/include/uapi/linux/sched/types.h
index 90662385689b..bf6e9ae031c1 100644
--- a/include/uapi/linux/sched/types.h
+++ b/include/uapi/linux/sched/types.h
@@ -58,9 +58,9 @@
*
* This is reflected by the following fields of the sched_attr structure:
*
- * @sched_deadline representative of the task's deadline
- * @sched_runtime representative of the task's runtime
- * @sched_period representative of the task's period
+ * @sched_deadline representative of the task's deadline in nanoseconds
+ * @sched_runtime representative of the task's runtime in nanoseconds
+ * @sched_period representative of the task's period in nanoseconds
*
* Given this task model, there are a multiplicity of scheduling algorithms
* and policies, that can be used to ensure all the tasks will make their