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 
>> <http://www.google.com/url?q=http%3A%2F%2Flibopenblasp-r0-2ecf47d5.3.7.dev.so&sa=D&sntz=1&usg=AFQjCNEzhQZhSHkxBkhVADvoaOnGZdTRaQ>
>>  depends 
>> on, missing.
>>
>>  
>>
>> You can use:
>>
>>  
>>
>> ./scripts/manifest_from_host.sh -l /lib/python3.7/numpy/.libs/
>> libopenblasp-r0-2ecf47d5.3.7.dev.so 
>> <http://www.google.com/url?q=http%3A%2F%2Flibopenblasp-r0-2ecf47d5.3.7.dev.so&sa=D&sntz=1&usg=AFQjCNEzhQZhSHkxBkhVADvoaOnGZdTRaQ>
>>
>>  
>>
>> 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 
>> <http://www.google.com/url?q=http%3A%2F%2Flibopenblasp-r0-2ecf47d5.3.7.dev.so&sa=D&sntz=1&usg=AFQjCNEzhQZhSHkxBkhVADvoaOnGZdTRaQ>:
>>  
>> 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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