[Mne_analysis] test_filter.py value mismatch error

[Lee, KyuHwa]

Hi Alex, here's the result:

Platform:      Windows-10-10.0.15063-SP0
Python:        3.6.1 |Anaconda custom (64-bit)| (default, May 11 2017,
13:25:24) [MSC v.1900 64 bit (AMD64)]
Executable:    C:\Anaconda3\python.exe
CPU:           Intel64 Family 6 Model 78 Stepping 3, GenuineIntel: 4 cores
Memory:        7.9 GB

mne:           0.15.dev0
numpy:         1.13.1 {blas=mkl_core_dll, lapack=mkl_core_dll}
scipy:         0.19.1
matplotlib:    2.0.2

sklearn:       0.19.0
nibabel:       Not found
mayavi:        Not found
pycuda:        2017.1.1
skcuda:        0.5.1
pandas:        0.20.3

Best,
Kyuhwa

On Sun, Sep 24, 2017 at 1:38 PM, Alexandre Gramfort <
alexandre.gramfort at inria.fr> wrote:

> hi Kyuhwa,
>
> can you tell me what this gives for you
>
> import mne
> mne.sys_info()
>
> Alex
>
>
> On Sat, Sep 23, 2017 at 7:22 PM, Lee, KyuHwa <lee.kyuh at gmail.com> wrote:
>
>> Hello,
>>
>> I installed MNE 0.15-dev from git with CUDA 8.0 and Anaconda 4.4 (Python
>> 3.6), following this manual:
>> http://martinos.org/mne/dev/advanced_setup.html?highlight=dev%20install
>>
>> When I run:
>> mne.utils.set_config('MNE_USE_CUDA', 'true'); mne.cuda.init_cuda()
>> I get the correct result:
>> Enabling CUDA with 761.0 MB available memory
>>
>> When I run test_filter.py, I get the following error:
>>
>> AssertionError:
>> Not equal to tolerance rtol=0.001, atol=0.001
>>
>> (mismatch 0.9333333333333371%)
>>  x: array([[ -2.558717e-16,  -1.525432e-01,  -2.835838e-01, ...,
>>           4.634404e-01,   2.543413e-01,  -6.938894e-17],
>>        [ -2.532696e-16,   1.745948e-01,   3.111300e-01, ...,
>>           6.255135e-01,   3.478937e-01,  -2.775558e-17]])
>>  y: array([[  8.933826e-17,  -1.527561e-01,  -2.836241e-01, ...,
>>           4.634049e-01,   2.543312e-01,  -2.428613e-16],
>>        [  1.565588e-16,   1.746173e-01,   3.108850e-01, ...,
>>           6.256731e-01,   3.481433e-01,  -3.053113e-16]])
>>
>> It was caused by line 332 of test_filter.py:
>> assert_allclose(hp, bp, rtol=1e-3, atol=1e-3)
>>
>> I tried increasing the tolerence to 1e-2, and now it throws another error
>> caused by line 336 (FFT calculation):
>> AssertionError:
>> Not equal to tolerance rtol=1e-07, atol=0.02
>>
>> (mismatch 100.0%)
>>  x: array(1.0259702184926076)
>>  y: array(1.0)
>>
>> Seems like there's a serious numerical problem with the computation. What
>> should I do in this case?
>> Weird thing is, even if I set MNE_USE_CUDA to 'false', it still gives me
>> exactly the same error, which might suggest it's independent of CUDA
>> setting?
>>
>> Best wishes,
>> Kyuhwa
>>
>>
>>
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