[petsc-dev] Scalar data
Matthew Knepley
knepley at gmail.com
Sat Nov 7 14:52:22 CST 2015
On Sat, Nov 7, 2015 at 2:47 PM, Barry Smith <bsmith at mcs.anl.gov> wrote:
>
> > On Nov 7, 2015, at 1:47 PM, Matthew Knepley <knepley at gmail.com> wrote:
> >
> > On Sat, Nov 7, 2015 at 12:52 PM, Barry Smith <bsmith at mcs.anl.gov> wrote:
> >
> > I have no idea what you mean by "scalar data", please expand
> >
> > Lets just make it very specific. I want log_summary to also report
> something like
> >
> > "L2 error": {0.000134256}
>
> Do you mean -log_summary which is just one very specific output of
> logging data or do you mean tools like PetscLogView_Detailed[] etc.
>
> I don't think people should be parsing the output of -log_summary I
> think they should be writing there own viewers that dump the information in
> the way they want it (an example of this is PetscLogView_Detailed)
I mean adding it to the Python module output (I think that is 'detailed')
Matt
>
> Barry
>
> >
> > Matt
> >
> > > On Nov 7, 2015, at 12:11 PM, Matthew Knepley <knepley at gmail.com>
> wrote:
> > >
> > > I had many requests from the class to put scalar data into the
> log_summary. We were generating many summaries using a Python script, which
> then read them back in as modules and processed the results. We could not
> automatically get things like the error, which had to be parsed from the
> output.
> > >
> > > I think allowing users to put scalar data in there would be a good
> thing. Thoughts?
> > >
> > > Matt
> > >
> > > --
> > > What most experimenters take for granted before they begin their
> experiments is infinitely more interesting than any results to which their
> experiments lead.
> > > -- Norbert Wiener
> >
> >
> >
> >
> > --
> > What most experimenters take for granted before they begin their
> experiments is infinitely more interesting than any results to which their
> experiments lead.
> > -- Norbert Wiener
>
>
--
What most experimenters take for granted before they begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener
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