netdev - Re: [PATCH AUTOSEL 4.9 09/26] net/mlx5e: Init ethtool steering for representors

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Message-ID: <ab1d30c8afec0459994ea9af40ae859ae3767587.camel@mellanox.com>
Date:   Fri, 17 Apr 2020 22:38:33 +0000
From:   Saeed Mahameed <saeedm@...lanox.com>
To:     "sashal@...nel.org" <sashal@...nel.org>
CC:     "ecree@...arflare.com" <ecree@...arflare.com>,
        "gregkh@...uxfoundation.org" <gregkh@...uxfoundation.org>,
        "davem@...emloft.net" <davem@...emloft.net>,
        "gerlitz.or@...il.com" <gerlitz.or@...il.com>,
        "netdev@...r.kernel.org" <netdev@...r.kernel.org>,
        "kuba@...nel.org" <kuba@...nel.org>,
        "stable@...r.kernel.org" <stable@...r.kernel.org>,
        "leon@...nel.org" <leon@...nel.org>
Subject: Re: [PATCH AUTOSEL 4.9 09/26] net/mlx5e: Init ethtool steering for
 representors

On Fri, 2020-04-17 at 09:21 -0400, Sasha Levin wrote:
> On Thu, Apr 16, 2020 at 09:08:06PM +0000, Saeed Mahameed wrote:
> > On Thu, 2020-04-16 at 15:58 -0400, Sasha Levin wrote:
> > > Hrm, why? Pretend that the bot is a human sitting somewhere
> > > sending
> > > mails out, how does it change anything?
> > > 
> > 
> > If i know a bot might do something wrong, i Fix it and make sure it
> > will never do it again. For humans i just can't do that, can I ? :)
> > so this is the difference and why we all have jobs ..
> 
> It's tricky because there's no one true value here. Humans are
> constantly wrong about whether a patch is a fix or not, so how can I
> train my bot to be 100% right?
> 
> > > > > The solution here is to beef up your testing infrastructure
> > > > > rather
> > > > > than
> > > > 
> > > > So please let me opt-in until I beef up my testing infra.
> > > 
> > > Already did :)
> > 
> > No you didn't :), I received more than 5 AUTOSEL emails only today
> > and
> > yesterday.
> 
> Appologies, this is just a result of how my process goes - patch
> selection happened a few days ago (which is when blacklists are
> applied), it's been running through my tests since, and mails get
> sent
> out only after tests.
> 

No worries, as you see i am not really against this AI .. i am just
worried about it being an opt-out thing :)

> > Please don't opt mlx5 out just yet ;-), i need to do some more
> > research
> > and make up my mind..
> 
> Alrighty. Keep in mind you can always reply with just a "no" to
> AUTOSEL
> mails, you don't have to explain why you don't want it included to
> keep
> it easy.
> 

Sure ! thanks .

> > > > > taking less patches; we still want to have *all* the fixes,
> > > > > right?
> > > > > 
> > > > 
> > > > if you can be sure 100% it is the right thing to do, then yes,
> > > > please
> > > > don't hesitate to take that patch, even without asking anyone
> > > > !!
> > > > 
> > > > Again, Humans are allowed to make mistakes.. AI is not.
> > > 
> > > Again, why?
> > > 
> > 
> > Because AI is not there yet.. and this is a very big philosophical
> > question.
> > 
> > Let me simplify: there is a bug in the AI, where it can choose a
> > wrong
> > patch, let's fix it.
> 
> But we don't know if it's wrong or not, so how can we teach it to be
> 100% right?
> 
> I keep retraining the NN based on previous results which improves
> it's
> accuracy, but it'll never be 100%.
> 
> The NN claims we're at ~95% with regards to past results.
> 

I didn't really mean for you to fix it..

I am just against using un-audited AI. because i know it can never
reach 100%.

Just out of curiosity : 
what are these 5% failure rate, what types of failures ? how are they
identified and how are they feedback into the NN re-training ?