Thank you for your contribution! Sashiko AI review found 1 potential issue(s) 
to consider:
- [Low] cleanup: mixing goto-based error handling and scope-based cleanup
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commit a6de528fef00ef67da15965a7a8b3944fa92b053
Author: Vineet Gupta <[email protected]>
Subject: tracing: fgraph: allocate shadow stacks inline with GFP_NOWAIT

This commit aims to resolve performance regressions with ftrace graph tracing
when there are a large number of tasks. It replaces the pre-allocated batch
approach with inline allocation using GFP_NOWAIT, avoiding repeated sweeps of
the task list. Additionally, it transitions the RCU read-side section to use
scoped_guard(rcu) instead of manual rcu_read_lock and rcu_read_unlock calls.

> diff --git a/kernel/trace/fgraph.c b/kernel/trace/fgraph.c
> index 40d373d65f9b9..1c5ccc3f80d53 100644
> --- a/kernel/trace/fgraph.c
> +++ b/kernel/trace/fgraph.c
[ ... ]
> @@ -1057,26 +1056,37 @@ static int alloc_retstack_tasklist(unsigned long 
> **ret_stack_list)
>               }
>       }
>  
> -     rcu_read_lock();
> -     for_each_process_thread(g, t) {
> -             if (start == end) {
> -                     ret = -EAGAIN;
> -                     goto unlock;
> -             }
> +     scoped_guard (rcu) {

[Severity: Low]
Does this mix goto-based error handling and scope-based cleanup within the same
function?

Looking at alloc_retstack_tasklist(), the function retains the legacy goto free
path in the initial pre-allocation loop (just before this block), while
introducing scoped_guard(rcu) here.

The cleanup subsystem guidelines recommend that for a given routine, we should
convert all resources that need a goto cleanup to scope-based cleanup, or
convert none of them. Mixing these paradigms creates confusing ownership
semantics and is highly prone to double-free or resource leak regressions upon
future modifications.

Could we either convert the ret_stack_list array cleanup to use scope-based
helpers, or stick to the manual rcu_read_lock() and rcu_read_unlock() here to
keep the error handling style consistent?

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Sashiko AI review ยท 
https://sashiko.dev/#/patchset/[email protected]?part=1

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