JIT issues when using jupyter notebook

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#183 opened on Jun 3, 2018 10 comments 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty: 4/5
Estimated time: 3-5 days
Newbie friendliness: 35/100

Issue type: Bug
Clarity: Needs clarification
Activity status: Stale
Tech stack: anaconda, jupyter-notebook, python, ubuntu
Domain: backend, hpc

Research direction

Start by reproducing af.gaussian_kernel(128,128,5,5) in the reported Jupyter and IPython environments, then trace the failure through arrayfire/image.py and arrayfire/util.py into src/backend/cuda/jit.cpp. Done means the call works in Jupyter under the reported setup, with the CUDA JIT error understood or prevented.

Written by the indexing model from the issue text.

Description

Hi, after updating to the latest arrayfire jupyter notebook seems to have a problem with af.gaussian_kernel() function. Standard ipython works without a problem but in notebook the call ends up with:

RuntimeError                          Traceback (most recent call last)
<ipython-input-3-e9e47878ee5a> in <module>()
----> 1 lala = af.gaussian_kernel(128,128,5,5)

~/anaconda3/lib/python3.6/site-packages/arrayfire/image.py in gaussian_kernel(rows, cols, sigma_r, sigma_c)
    778     safe_call(backend.get().af_gaussian_kernel(c_pointer(out.arr),
    779                                                c_int_t(rows), c_int_t(cols),
--> 780                                                c_double_t(sigma_r), c_double_t(sigma_c)))
    781     return out
    782 

~/anaconda3/lib/python3.6/site-packages/arrayfire/util.py in safe_call(af_error)
     77         err_len = c_dim_t(0)
     78         backend.get().af_get_last_error(c_pointer(err_str), c_pointer(err_len))
---> 79         raise RuntimeError(to_str(err_str))
     80 
     81 def get_version():

RuntimeError: In function std::vector<char> cuda::compileToPTX(const char*, std::string)
In file src/backend/cuda/jit.cpp:

I tried complete reinstall of python, cleaned any personal settings in .local .bashrc .config and installed completely new anaconda. Still whatever I do I cant get it to run

NOTE: af.constant() function works without problem
SYSTEM: ubuntu 17.10; CUDA 9-2; arrayfire v3.6 binary; arrayfire-python git master

Dominant language: Python
Stars: 422
Forks: 63
PR merge metrics: No merged PRs in 30d

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