Segfault on Google Colab #357
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It segfaulted inside libc? That's odd. How much memory is available on an instance there? |
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Am Mon, Jan 18, 2021 at 02:48:07AM -0800 schrieb wbhart:
It segfaulted inside libc? That's odd.
How much memory is available on an instance there?
It segfaults in malloc_usable_size, a function which depends
on the current amlloc implementation: maybe, malloc and free are
overloaded, but malloc_usable_size not?
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There is 12 GB RAM, should be enough, I guess |
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Can you please tell us the output of the following Julia script on your host? versioninfo()
using Pkg
Pkg.status()
Pkg.status(mode=PKGMODE_MANIFEST)That might give a clue. |
Here it is before installing Singular and after |
Hmm, indeed. Plots.jl and IJulia pull in tons and tons of packages, and JLLs; perhaps one of them does something funky with malloc -- but that'd be super evil. In any case, that would then suggest that one should be able to replicate the issue by installing those packages before trying to install/use Singular. However, I was not able to do so on two different Linux machines. @pogudingleb can you tell us which glibc version that system uses? E.g. via output of |
Here is what I get As I said, I get this behavior not on my machine but in the default environment of Google Colab, so if you would like to reproduce this yourself, you can
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I just tried this with So I did The function Perhaps |
And This all looks rather standard and common. Weird. |
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I don't think we can do anything here. If the problem is current, someone with access to a system where this can be reproduced must debug it. |
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I thought it would be great if one could use Singular.jl (and Oscar in general) on Google Colab. However, I have encountered the following problem while trying to use Singular.jl there. I do the following:
JULIA_VERSIONto 1.5.3using Pkg; Pkg.add("Singular"); using SingularThank you in advance!
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