sched/doc: Update EM API em_pd_energy to em_cpu_energy

Message ID 1706585531-24072-1-git-send-email-wangchenggang@vivo.com
State New
Headers
Series sched/doc: Update EM API em_pd_energy to em_cpu_energy |

Commit Message

Chenggang Wang Jan. 30, 2024, 3:32 a.m. UTC
  The em_pd_energy function name is obsolete and non-existent now.
---
 Documentation/scheduler/sched-energy.rst                    | 2 +-
 Documentation/translations/zh_CN/scheduler/sched-energy.rst | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)
  

Comments

Yanteng Si Jan. 30, 2024, 9:27 a.m. UTC | #1
Hi Chenggang,

在 2024/1/30 11:32, Chenggang Wang 写道:
> The em_pd_energy function name is obsolete and non-existent now.
> ---

It is not a complete patch, at least it is missing a Signed of by; Then, 
could you please explain

the reason for sending again in a short period of time? Perhaps this 
email should be used as

patch v2. see .../Documentation/translations/zh_CN/process/5.Posting.rst


You can also execute this command:

  $:./scripts/checkpatch.pl

Then silence all warnings and errors.


Thanks,

Yanteng

>   Documentation/scheduler/sched-energy.rst                    | 2 +-
>   Documentation/translations/zh_CN/scheduler/sched-energy.rst | 2 +-
>   2 files changed, 2 insertions(+), 2 deletions(-)
>
> diff --git a/Documentation/scheduler/sched-energy.rst b/Documentation/scheduler/sched-energy.rst
> index 70e2921..84b37a2 100644
> --- a/Documentation/scheduler/sched-energy.rst
> +++ b/Documentation/scheduler/sched-energy.rst
> @@ -141,7 +141,7 @@ in its previous activation.
>   find_energy_efficient_cpu() uses compute_energy() to estimate what will be the
>   energy consumed by the system if the waking task was migrated. compute_energy()
>   looks at the current utilization landscape of the CPUs and adjusts it to
> -'simulate' the task migration. The EM framework provides the em_pd_energy() API
> +'simulate' the task migration. The EM framework provides the em_cpu_energy() API
>   which computes the expected energy consumption of each performance domain for
>   the given utilization landscape.
>   
> diff --git a/Documentation/translations/zh_CN/scheduler/sched-energy.rst b/Documentation/translations/zh_CN/scheduler/sched-energy.rst
> index fdbf6cf..03dedc6 100644
> --- a/Documentation/translations/zh_CN/scheduler/sched-energy.rst
> +++ b/Documentation/translations/zh_CN/scheduler/sched-energy.rst
> @@ -119,7 +119,7 @@ EAS覆盖了CFS的任务唤醒平衡代码。在唤醒平衡时,它使用平
>   
>   如果唤醒的任务被迁移,find_energy_efficient_cpu()使用compute_energy()来估算
>   系统将消耗多少能量。compute_energy()检查各CPU当前的利用率情况,并尝试调整来
> -“模拟”任务迁移。EM框架提供了API em_pd_energy()计算每个性能域在给定的利用率条件
> +“模拟”任务迁移。EM框架提供了API em_cpu_energy()计算每个性能域在给定的利用率条件
>   下的预期能量消耗。
>   
>   下面详细介绍一个优化能量消耗的任务放置决策的例子。
  

Patch

diff --git a/Documentation/scheduler/sched-energy.rst b/Documentation/scheduler/sched-energy.rst
index 70e2921..84b37a2 100644
--- a/Documentation/scheduler/sched-energy.rst
+++ b/Documentation/scheduler/sched-energy.rst
@@ -141,7 +141,7 @@  in its previous activation.
 find_energy_efficient_cpu() uses compute_energy() to estimate what will be the
 energy consumed by the system if the waking task was migrated. compute_energy()
 looks at the current utilization landscape of the CPUs and adjusts it to
-'simulate' the task migration. The EM framework provides the em_pd_energy() API
+'simulate' the task migration. The EM framework provides the em_cpu_energy() API
 which computes the expected energy consumption of each performance domain for
 the given utilization landscape.
 
diff --git a/Documentation/translations/zh_CN/scheduler/sched-energy.rst b/Documentation/translations/zh_CN/scheduler/sched-energy.rst
index fdbf6cf..03dedc6 100644
--- a/Documentation/translations/zh_CN/scheduler/sched-energy.rst
+++ b/Documentation/translations/zh_CN/scheduler/sched-energy.rst
@@ -119,7 +119,7 @@  EAS覆盖了CFS的任务唤醒平衡代码。在唤醒平衡时,它使用平
 
 如果唤醒的任务被迁移,find_energy_efficient_cpu()使用compute_energy()来估算
 系统将消耗多少能量。compute_energy()检查各CPU当前的利用率情况,并尝试调整来
-“模拟”任务迁移。EM框架提供了API em_pd_energy()计算每个性能域在给定的利用率条件
+“模拟”任务迁移。EM框架提供了API em_cpu_energy()计算每个性能域在给定的利用率条件
 下的预期能量消耗。
 
 下面详细介绍一个优化能量消耗的任务放置决策的例子。