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Hi Chen,


No, it's simply a "non-modifiable" parameter, meaning that you would 
need to use --pad 1 from the beginning. Some parameters are protected 
because it does not make sense to (in general) change them partway 
through a refinement, using the continuation function. Future version 
will permit changing of padding with a continue, but we were unable to 
test it sufficiently in time for 2.1.0.


/Björn


On 01/24/2018 04:02 PM, Chen Sun wrote:
>
> Hi Sjors,
>
>
> I module loaded Relion/2.1 and added "--pad 1" to continue my 
> refinement. However, it gave me a warning that:
>
>
> "
>
> The following warnings were encountered upon command-line parsing:
> WARNING: Option --padis not a valid RELION argument
>
> "
>
> Does it indicate that there might be something wrong in our compiling 
> process?
>
>
>
> Chen
>
> ------------------------------------------------------------------------
> *From:* Sjors Scheres <[log in to unmask]>
> *Sent:* Wednesday, January 24, 2018 4:06:22 AM
> *To:* Chen Sun; [log in to unmask]
> *Subject:* Re: [ccpem] Relion 3D autorefine
> Dear Chen,
>
> First, update your installation to the stable version: 2.1.0. Then, try
> adding "--pad 1" as an additional argument. I think that will solve your
> problems.
>
> HTH,
>
> Sjors
>
>
> On 01/24/2018 12:26 AM, Chen Sun wrote:
> >
> > Hi Adrian,
> >
> >
> > We have 128GB memory on our motherboard. However, the particle mrcs
> > files has 150GB. So is it ok if I exclude some particles in the final
> > refinement?
> >
> >
> > Chen
> >
> > ------------------------------------------------------------------------
> > *From:* Adrian Koh <[log in to unmask]>
> > *Sent:* Tuesday, January 23, 2018 6:21:41 PM
> > *To:* Chen Sun
> > *Cc:* [log in to unmask]
> > *Subject:* RE: [ccpem] Relion 3D autorefine
> >
> >
> > Dear Chen,
> >
> >
> >
> > How much system memory (RAM) do you have? I suspect that might be the
> > bottleneck.
> >
> >
> >
> > Best Regards
> >
> > Adrian
> >
> >
> >
> > Sent from Mail <https://go.microsoft.com/fwlink/?LinkId=550986> for
> > Windows 10
> >
> >
> >
> > *From: *Chen Sun <mailto:[log in to unmask]>
> > *Sent: *Tuesday, 23 January 2018 5:22 PM
> > *To: *[log in to unmask] <mailto:[log in to unmask]>
> > *Subject: *Re: [ccpem] Relion 3D autorefine
> >
> >
> >
> > Hi Shitaro,
> >
> >
> >
> > I have been using the 3 MPI for my autorefine jobs. And most of the
> > time I am the only one using the GPUs. That is why I am really 
> confused.
> >
> >
> >
> > Chen
> >
> > *From:*Shintaro Aibara <[log in to unmask]>
> > *Sent:* Tuesday, January 23, 2018 3:27:56 PM
> > *To:* Chen Sun
> > *Cc:* [log in to unmask]
> > *Subject:* Re: [ccpem] Relion 3D autorefine
> >
> >
> >
> > I am imagining that you are running 5 MPI processes. Try dropping that
> > to 3. Having said that you may still crash because of other processes
> > like X taking up some memory.
> >
> >
> >
> > Best wishes,
> >
> > Shintaro
> >
> >
> >
> > On Tue, Jan 23, 2018 at 9:17 PM, Chen Sun <[log in to unmask]
> > <mailto:[log in to unmask]>> wrote:
> >
> >     Dear Relion developers and users,
> >
> >
> >
> >     I have been processing some large datasets with more than 100k
> >     particles (512 pixel boxsize) with Relion/2.1b1. However, the last
> >     iteration of my 3D refinement always crashed with the following
> >     error message:
> >
> >
> >
> >     "ERROR: out of memory in
> > /apps/relion/relion/src/gpu_utils/cuda_projector.cu
> >     <http://cuda_projector.cu> at line 116 (error-code 2)"
> >
> >
> >
> >     And everytime I restarted it, it will give me such warning at the
> >     beginning:
> >
> >
> >
> >     "With the current settings and hardware, you will be able to
> >
> >     use an estimated image-size of 365 pixels during the last 
> iteration...
> >
> >
> >
> >     ...but your input box-size (image_size) is however 512. This means
> >     that
> >
> >     you will likely run out of memory on the GPU(s), and will have to
> >     then re-start
> >
> >     from the last completed iteration (i.e. continue from it)
> >     *without* the use of GPUs."
> >
> >
> >
> >     We are equipped with two 1080Ti 11GB GPUs which should be
> >     sufficient for the memory that it requires. Does anyone have the
> >     same problem? Is there any way to fix it? Any suggestions would be
> >     appreciated.
> >
> >
> >
> >     Thanks,
> >
> >     Chen
> >
> >
> >
> >
> >
> >
> >
> > --
> >
> > Yours Sincerely,
> > Shintaro Aibara
> >
> >
> >
>
> -- 
> Sjors Scheres
> MRC Laboratory of Molecular Biology
> Francis Crick Avenue, Cambridge Biomedical Campus
> Cambridge CB2 0QH, U.K.
> tel: +44 (0)1223 267061
> http://www2.mrc-lmb.cam.ac.uk/groups/scheres
>