Dear Henrique/Friends,

Maybe we could "reshape" freebsd[1]/musl libc implementation [2]
Of course, it might take a while but it's doable

[1] https://github.com/freebsd/freebsd/search?q=sem_open&unscoped_q=sem_open
[2] https://git.musl-libc.org/cgit/musl/tree/src/thread


Keep Rocking,

Geraldo Netto
Sapere Aude => Non dvcor, dvco
site: http://exdev.sf.net/
github: https://github.com/geraldo-netto
linkedin: https://www.linkedin.com/in/geraldonetto/
facebook: https://web.facebook.com/geraldo.netto.161

On Sat, 2 Nov 2019 at 10:13, Henrique Fingler <[email protected]> wrote:
>
>  Welp, spoke too soon. I was able to make it run by recompiling sklearn 
> without openmp using the SKLEARN_NO_OPENMP flag.   
> (https://scikit-learn.org/dev/developers/advanced_installation.html)
>  If I knew c++ better I'd implement a real sem_open, although I'm almost sure 
> stubbing it is enough for sklearn.
>
> On Saturday, November 2, 2019 at 2:49:18 AM UTC-5, Henrique Fingler wrote:
>>
>>  Hi Waldek,
>>
>>  Any update on this issue? I implemented a extremely horrible sem_open and 
>> stubbed close and unlink, but I'm getting a mmap fault somewhere in 
>> LogisticRegression fit 
>> (https://github.com/scikit-learn/scikit-learn/blob/1495f6924/sklearn/linear_model/logistic.py#L1466).
>>
>> 0x000000004046537b <osv::generate_signal(siginfo&, exception_frame*)+59>
>> 0x00000000404653ea <osv::handle_mmap_fault(unsigned long, int, 
>> exception_frame*)+26>
>> 0x000000004032f509 <mmu::vm_fault(unsigned long, exception_frame*)+185>
>> 0x0000000040393a36 <page_fault+166>
>> 0x0000000040392876 <???+1077487734>
>> 0x0000100000c11e5f <???+12656223>
>>
>>
>> On Wednesday, August 28, 2019 at 10:24:42 AM UTC-5, Waldek Kozaczuk wrote:
>>>
>>> Hi,
>>>
>>> Given you are the second person asking about it, I started implementing it 
>>> last night given it is not that difficult. But it would still take a bit of 
>>> time to make it correct and covered with unit tests.
>>>
>>> However, I peeked more at the details of 
>>> https://github.com/cloudius-systems/osv/issues/1025 and realized 
>>> scikit-learn uses the multiprocessing module 
>>> (https://docs.python.org/3.4/library/multiprocessing.html?highlight=process)
>>>  which allows multiprocessing based on forking new processes vs 
>>> multithreading. OSv supports pthreads very well even on multiple cores 
>>> (SMP) but being unikernel it does NOT and never intended to support 
>>> fork()/spawn(). That being said I suspect that even if implemented name 
>>> semaphores you will hit the fork() obstacle down the road.
>>>
>>> Based on this doc - 
>>> https://scipy.github.io/old-wiki/pages/ParallelProgramming, and 
>>> https://scipy.github.io/old-wiki/pages/Cookbook/Multithreading.html you can 
>>> use SciPy with multithreading which should work on OSv.
>>>
>>> There is also GraalVM Python which is supposed to run python much faster 
>>> and is focused on SciPy but it is still experimental - 
>>> https://www.graalvm.org/docs/reference-manual/languages/python/. I have had 
>>> a lot of luck running native images (JVM code AOT-compiled to machine code) 
>>> on OSv.
>>>
>>> Regards,
>>> Waldek
>>>
>>> On Tuesday, August 27, 2019 at 10:21:22 PM UTC-4, Michael De Lucia wrote:
>>>>
>>>> Waldek,
>>>>
>>>>
>>>>
>>>> I finally got sklearn installed and got to the same issue you pointed out 
>>>> described here - https://github.com/cloudius-systems/osv/issues/1025
>>>>
>>>>
>>>>
>>>> Has this been implemented yet?
>>>>
>>>>
>>>>
>>>> Thanks,
>>>>
>>>>
>>>>
>>>> Mike
>>>>
>>>>
>>>>
>>>> From: [email protected] <[email protected]> On Behalf Of 
>>>> Waldek Kozaczuk
>>>> Sent: Tuesday, August 27, 2019 11:40 AM
>>>> To: OSv Development <[email protected]>
>>>> Subject: Re: [osv-dev] Re: Python 3 Scikitlearn
>>>>
>>>>
>>>>
>>>> It looks like you have one of the libraries, 
>>>> libopenblasp-r0-2ecf47d5.3.7.dev.so depends on, missing.
>>>>
>>>>
>>>>
>>>> You can use:
>>>>
>>>>
>>>>
>>>> ./scripts/manifest_from_host.sh -l 
>>>> /lib/python3.7/numpy/.libs/libopenblasp-r0-2ecf47d5.3.7.dev.so
>>>>
>>>>
>>>>
>>>> to see which libraries have to be added.
>>>>
>>>>
>>>> On Tuesday, August 27, 2019 at 11:15:51 AM UTC-4, Michael De Lucia wrote:
>>>>
>>>> Hi Waldek,
>>>>
>>>>
>>>>
>>>> No that does not seem to be the problem. I started with just trying to see 
>>>> with numpy first, since that is a dependency. Here is what I did. I used 
>>>> your docker image build on Fedora29, which does a git and pulls down the 
>>>> OSv repo. Then I built the python3x osv-app in osv-apps/python3x/ on the 
>>>> github repo.
>>>>
>>>>
>>>>
>>>> I have python 3.7 installed on the fedora29 image and did pip3 install 
>>>> numpy to get that installed in my python 3.7 environment. I modified the 
>>>> GET file under the python3x directory to include the numpy module.
>>>>
>>>>
>>>>
>>>> Next I ran ./scripts/build image=python3x and the build completed 
>>>> successfully.
>>>>
>>>>
>>>>
>>>> Then I ran ./scripts/run.py –api -e “/python3 -c \”import numpy; 
>>>> print(numpy.__version__)\””
>>>>
>>>>
>>>>
>>>> That is when it failed in an unresolved symbol for blas_memory_alloc
>>>>
>>>>
>>>>
>>>> [root@8ec8090052ab osv]# ./scripts/run.py --api -e "/python3 -c \"import 
>>>> numpy; print(numpy.__version__)\""
>>>>
>>>> OSv v0.53.0-74-gef56fde7
>>>>
>>>> eth0: 192.168.122.15
>>>>
>>>> Booted up in 611.56 ms
>>>>
>>>> /lib/python3.7/numpy/.libs/libopenblasp-r0-2ecf47d5.3.7.dev.so: failed 
>>>> looking up symbol blas_memory_alloc
>>>>
>>>>
>>>>
>>>> [backtrace]
>>>>
>>>> 0x0000000040356209 <elf::object::symbol(unsigned int, bool)+969>
>>>>
>>>> 0x00000000403562cf <elf::object::resolve_pltgot(unsigned int)+127>
>>>>
>>>> 0x0000000040356494 <elf_resolve_pltgot+52>
>>>>
>>>> 0x000000004039b82f <???+1077524527>
>>>>
>>>> 0x000020000077ff6f <???+7864175>
>>>>
>>>> 0x0000000000000003 <???+3>
>>>>
>>>>
>>>>
>>>> Any ideas on how to resolve this?
>>>>
>>>>
>>>>
>>>> Thanks,
>>>>
>>>>
>>>>
>>>> Mike
>>>>
>>>>
>>>>
>>>> From: [email protected] <[email protected]> On Behalf Of 
>>>> Waldek Kozaczuk
>>>> Sent: Monday, August 26, 2019 6:03 PM
>>>> To: OSv Development <[email protected]>
>>>> Subject: Re: [osv-dev] Re: Python 3 Scikitlearn
>>>>
>>>>
>>>>
>>>> Is it possibly the same issue as described here - 
>>>> https://github.com/cloudius-systems/osv/issues/1025?
>>>>
>>>> On Wednesday, August 21, 2019 at 10:08:15 PM UTC-4, Michael De Lucia wrote:
>>>>
>>>> I Waldek,
>>>>
>>>>
>>>>
>>>> I will get the exact command and stack trace to you on Friday.
>>>>
>>>>
>>>>
>>>> Thanks,
>>>>
>>>>
>>>>
>>>> Mike
>>>>
>>>> Sent from my iPhone
>>>>
>>>>
>>>> On Aug 21, 2019, at 9:39 PM, Waldek Kozaczuk <[email protected]> wrote:
>>>>
>>>> Hi,
>>>>
>>>>
>>>>
>>>> Can you provide exact build command you used to build the image? Also, can 
>>>> you provide the exact stack trace so we know which symbol is was 
>>>> unresolved?
>>>>
>>>>
>>>>
>>>> Thanks,
>>>>
>>>> Waldek
>>>>
>>>> On Wednesday, August 21, 2019 at 9:19:36 PM UTC-4, [email protected] wrote:
>>>>
>>>> Hi,
>>>>
>>>>
>>>>
>>>> I tried to use the OSv app for python 3 support. I built the image with 
>>>> the system installed python 3 version. I also installed scikit learn and 
>>>> added that to the modules to keep from the site packages. Scikit also 
>>>> relies on numpy and scipy. However, I got it to import and build an image. 
>>>> But when I tried to run it, failed with an unresolved symbol. I have a 
>>>> centos system and was building within the docker container fedora 29 
>>>> template. Any suggestions or thoughts on why this would fail?
>>>>
>>>>
>>>>
>>>> Thanks,
>>>>
>>>>
>>>>
>>>> Mike
>>>>
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