MNE 0.15のインストール
Microsoft Visual C++ Compiler for pythn 2.7のインストール
MNE 0.15本体のインストール
いつの間にかMNEが0.15になっていたのでインストールしました。
MNEは正式にはPython 2.7にしか対応してません。三次元表示部分が対応してないためです。三次元部分を使わなければPython 3.6でもいけます。
command promptを起動しcondaとpythonのversionの確認をします。
Microsoft Windows [Version 10.0.15063]
(c) 2017 Microsoft Corporation. All
rights reserved.
C:\Users\neuromag>conda --version
conda 4.3.27
C:\Users\neuromag>python --version
Python 2.7.13 :: Anaconda custom
(64-bit)
で実際のインストールです。condaを使ってインストールします。
C:\Users\neuromag>conda install scipy matplotlib scikit-learn mayavi jupyter spyder
Fetching package metadata
...............
Solving package specifications: .
Package plan for installation in
environment C:\Users\neuromag\Anaconda2:
The following NEW packages will be
INSTALLED:
icc_rt:
2017.0.4-h97af966_0
intel-openmp:
2018.0.0-hd92c6cd_8
pycodestyle: 2.3.1-py27h24cd5d9_0
vc:
9-h7299396_1
The following packages will be UPDATED:
conda:
4.3.27-py27hcd9d231_0 -->
4.3.30-py27he817781_0
mkl:
2017.0.1-0
--> 2018.0.1-h2108138_4
numpy:
1.11.3-py27_0
--> 1.11.3-py27hab9e983_3
scikit-learn:
0.18.1-np111py27_1
--> 0.19.1-py27he00e316_0
scipy:
0.19.0-np111py27_0
--> 1.0.0-py27h7cd1477_0
spyder:
3.1.2-py27_0
--> 3.2.4-py27hbf7a773_0
The following packages will be
SUPERSEDED by a higher-priority channel:
jupyter:
1.0.0-py27_3
--> 1.0.0-py27h9d2e098_2
mayavi:
4.5.0-py27_0
menpo --> 4.5.0-py27_0
Proceed ([y]/n)?
yと押します。
Proceed ([y]/n)? y
icc_rt-2017.0. 100%
|###############################| Time: 0:00:00 10.99 MB/s
intel-openmp-2 100% |###############################|
Time: 0:00:00 11.35 MB/s
mkl-2018.0.1-h 100%
|###############################| Time: 0:00:14 11.19 MB/s
vc-9-h7299396_ 100%
|###############################| Time: 0:00:00 0.00 B/s
numpy-1.11.3-p 100% |###############################|
Time: 0:00:00 9.84 MB/s
pycodestyle-2. 100%
|###############################| Time: 0:00:00 2.39 MB/s
scipy-1.0.0-py 100%
|###############################| Time: 0:00:01 11.60 MB/s
scikit-learn-0 100%
|###############################| Time: 0:00:00 10.32 MB/s
conda-4.3.30-p 100%
|###############################| Time: 0:00:00 11.63 MB/s
mayavi-4.5.0-p 100%
|###############################| Time: 0:00:01 11.75 MB/s
spyder-3.2.4-p 100%
|###############################| Time: 0:00:00 11.59 MB/s
jupyter-1.0.0- 100%
|###############################| Time: 0:00:00 295.50 kB/s
C:\Users\neuromag>
もう一つインストールします。
C:\Users\neuromag>pip install PySurfer mne
Requirement already satisfied: PySurfer in c:\users\neuromag\anaconda2\lib\site-packages
Requirement already satisfied: mne in c:\users\neuromag\anaconda2\lib\site-packages
Requirement already satisfied: nibabel>=1.2 in
c:\users\neuromag\anaconda2\lib\site-packages (from PySurfer)
C:\Users\neuromag>
pythonを起動しimport mneでエラーが出なければOKです。
C:\Users\neuromag>python
Python 2.7.13 |Anaconda custom
(64-bit)| (default, Dec 19 2016, 13:29:36) [MSC v.1500 64 bit (AMD64)] on win32
Type "help",
"copyright", "credits" or "license" for more
information.
Anaconda is brought to you by Continuum
Analytics.
Please check out:
http://continuum.io/thanks and https://anaconda.org
>>> import mne
>>>
開発版MNE-0.16のインストール
予告なく仕様が変更されます、の警告文あり。
C:\Users\neuromag>pip install
--upgrade --no-deps git+https://github.com/mne-tools/mne-python.git
Collecting git+https://github.com/mne-tools/mne-python.git
Cloning https://github.com/mne-tools/mne-python.git to
c:\users\neuromag\appdata\local\temp\pip-pnn5jd-build
Installing collected packages: mne
Found existing installation: mne 0.14
Uninstalling mne-0.14:
Successfully
uninstalled mne-0.14
Running setup.py install for mne ... done
Successfully installed mne-0.16.dev0
C:\Users\neuromag>
C:\Users\neuromag>python
Python 2.7.13 |Anaconda custom
(64-bit)| (default, Dec 19 2016, 13:29:36) [MSC v.1500 64 bit (AMD64)] on win32
Type "help",
"copyright", "credits" or "license" for more
information.
Anaconda is brought to you by Continuum
Analytics.
Please check out:
http://continuum.io/thanks and https://anaconda.org
versionを確認します。
>>> import mne
>>> mne.__version__
'0.16.dev0'
>>
元に戻す方法・・・・わかりません。
結局アンインストールし、インストールしなおしました。
まず削除。
>C:\Users\neuromag>pip
uninstall mne
Uninstalling mne-0.16.dev0:
c:\users\neuromag\anaconda2\lib\site-packages\mne-0.16.dev0-py2.7.egg-info
c:\users\neuromag\anaconda2\lib\site-packages\mne\__init__.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\__init__.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\annotations.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\annotations.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\baseline.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\baseline.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\__init__.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\__init__.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\_dics.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\_dics.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\_lcmv.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\_lcmv.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\_rap_music.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\_rap_music.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\tests\__init__.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\tests\__init__.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\tests\test_dics.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\tests\test_dics.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\tests\test_lcmv.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\tests\test_lcmv.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\tests\test_rap_music.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\beamformer\tests\test_rap_music.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\bem.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\bem.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\__init__.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\__init__.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\channels.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\channels.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\biosemi.lay
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\ctf-275.lout
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\ctf151.lay
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\ctf275.lay
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\eeg1005.lay
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\egi256.lout
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\kit-157.lout
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\kit-ad.lout
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\kit-umd-3.lout
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\magneswh3600.lout
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\vectorview-all.lout
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\vectorview-grad.lout
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\vectorview-grad_norm.lout
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\layouts\vectorview-mag.lout
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\biosemi128.txt
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\biosemi16.txt
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\biosemi160.txt
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\biosemi256.txt
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\biosemi32.txt
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\biosemi64.txt
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\easycap-m1.txt
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\easycap-m10.txt
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\egi_256.csd
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\gsn-hydrocel-128.sfp
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\gsn-hydrocel-129.sfp
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\gsn-hydrocel-256.sfp
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\gsn-hydrocel-257.sfp
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\gsn-hydrocel-32.sfp
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\gsn-hydrocel-64_1.0.sfp
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\gsn-hydrocel-65_1.0.sfp
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\mgh60.elc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\mgh70.elc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\standard_1005.elc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\standard_1020.elc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\standard_alphabetic.elc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\standard_postfixed.elc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\standard_prefixed.elc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\montages\standard_primed.elc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\__init__.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\__init__.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\biosemi16_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\biosemi32_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\biosemi64_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\bti148_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\bti248_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\bti248grad_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\ctf151_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\ctf275_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\ctf64_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\easycap128ch-avg_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\easycap32ch-avg_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\easycap64ch-avg_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\easycapm11_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\easycapm14_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\easycapm15_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\easycapm1_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\kit-157_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\kit-208_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\kit-umd-1_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\kit-umd-2_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\kit-umd-3_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\neuromag122_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\neuromag306mag_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\data\neighbors\neuromag306planar_neighb.mat
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\interpolation.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\interpolation.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\layout.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\layout.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\montage.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\montage.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\tests\__init__.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\tests\__init__.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\tests\test_channels.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\tests\test_channels.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\tests\test_interpolation.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\tests\test_interpolation.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\tests\test_layout.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\tests\test_layout.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\tests\test_montage.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\channels\tests\test_montage.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\chpi.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\chpi.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\__init__.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\__init__.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_browse_raw.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_browse_raw.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_bti2fiff.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_bti2fiff.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_clean_eog_ecg.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_clean_eog_ecg.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_compare_fiff.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_compare_fiff.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_compute_proj_ecg.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_compute_proj_ecg.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_compute_proj_eog.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_compute_proj_eog.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_coreg.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_coreg.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_flash_bem.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_flash_bem.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_freeview_bem_surfaces.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_freeview_bem_surfaces.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_kit2fiff.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_kit2fiff.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_make_scalp_surfaces.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_make_scalp_surfaces.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_maxfilter.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_maxfilter.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_report.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_report.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_show_fiff.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_show_fiff.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_show_info.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_show_info.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_surf2bem.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_surf2bem.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_watershed_bem.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\mne_watershed_bem.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\tests\__init__.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\tests\__init__.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\tests\test_commands.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\tests\test_commands.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\utils.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\commands\utils.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\__init__.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\__init__.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\effective.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\effective.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\spectral.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\spectral.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\tests\__init__.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\tests\__init__.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\tests\test_effective.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\tests\test_effective.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\tests\test_spectral.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\tests\test_spectral.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\tests\test_utils.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\connectivity\tests\test_utils.pyc
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c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_circle.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_epochs.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_epochs.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_evoked.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_evoked.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_ica.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_ica.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_misc.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_misc.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_montage.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_montage.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_raw.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_raw.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_topo.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_topo.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_topomap.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_topomap.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_utils.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\tests\test_utils.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\topo.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\topo.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\topomap.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\topomap.pyc
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\utils.py
c:\users\neuromag\anaconda2\lib\site-packages\mne\viz\utils.pyc
c:\users\neuromag\anaconda2\scripts\mne
Proceed (y/n)? y
Successfully uninstalled mne-0.16.dev0
インストールしなおし。
C:\Users\neuromag>pip install mne
Collecting mne
Downloading mne-0.15.2.tar.gz (6.0MB)
100%
|################################| 6.0MB 252kB/s
Building wheels for collected packages:
mne
Running setup.py bdist_wheel for mne ... done
Stored in directory: C:\Users\neuromag\AppData\Local\pip\Cache\wheels\bd\68\89\053b95464866970188323cec27e724bfaf0fe9adb4fe325061
Successfully built mne
Installing collected packages: mne
Successfully installed mne-0.15.2
C:\Users\neuromag>
versionの確認。
C:\Users\neuromag>python
Python 2.7.13 |Anaconda custom
(64-bit)| (default, Dec 19 2016, 13:29:36) [MSC v.1500 64 bit (AMD64)] on win32
Type "help",
"copyright", "credits" or "license" for more
information.
Anaconda is brought to you by Continuum
Analytics.
Please check out: http://continuum.io/thanks
and https://anaconda.org
>>> import mne
>>> mne.__version__
'0.15.2'
>>>
CUDAのインストール
Windowsなんでホームページ通りにはいきません。いろいろ試行錯誤しました。
CUDA Toolkitのインストール
PCにNVIDIAのグラフィックボードが搭載されている場合は高速化が期待できます。
NVIDIAのホームページにアクセスします。
Windows、x86_64、10、network版とボタンを押して、ダウンロードします。local版のファイルサイズは1.4GBだそうです。
OKボタンを押していきます。
なんか実行中。
なんか実行中。
ダウンロード中。
なんか実行中。
一瞬画面が黒くなって・・・
なんか実行中。
なんか実行中。
表示が英語になったり日本語になったりします。
なんか実行中。
終わった？ プログラム書く時にはVisual Studio 2017が必要という意味？
次にを押します。
閉じるを押します。
Microsoft Visual C++ Compiler for pythn 2.7のインストール
http://aka.ms/vcpython27からダウンロードします。
実行を押します。
I acceptにチェックを入れInstallを押します。
なんか実行中。終了後、ウインドウは自動的に消えます。
PyCUDAのインストール
何回か試みてるんで実際の表示とは異なると思います。
C:\Users\neuromag>pip install pycuda
Collecting pycuda
Requirement already satisfied: appdirs>=1.4.0 in c:\users\neuromag\anaconda2\lib\site-packages
(from pycuda)
Requirement already satisfied: pytest>=2 in
c:\users\neuromag\anaconda2\lib\site-packages (from pycuda)
Requirement already satisfied: pytools>=2011.2 in
c:\users\neuromag\anaconda2\lib\site-packages (from pycuda)
Requirement already satisfied:
decorator>=3.2.0 in c:\users\neuromag\anaconda2\lib\site-packages (from pycuda)
Requirement already satisfied: mako in c:\users\neuromag\anaconda2\lib\site-packages (from
pycuda)
Requirement already satisfied: py>=1.4.29 in
c:\users\neuromag\anaconda2\lib\site-packages (from pytest>=2->pycuda)
Requirement already satisfied: colorama in c:\users\neuromag\anaconda2\lib\site-packages
(from pytest>=2->pycuda)
Requirement already satisfied: numpy>=1.6.0 in c:\users\neuromag\anaconda2\lib\site-packages
(from pytools>=2011.2->pycuda)
Requirement already satisfied:
six>=1.8.0 in c:\users\neuromag\anaconda2\lib\site-packages (from pytools>=2011.2->pycuda)
Requirement already satisfied: MarkupSafe>=0.9.2 in c:\users\neuromag\anaconda2\lib\site-packages
(from mako->pycuda)
Installing collected packages: pycuda
Successfully installed pycuda-2017.1.1
C:\Users\neuromag>
scikit-cudaのインストール
同じく何回か試みたるんで、実際の表示とは異なるとおもいます。なんかいつの間にかインストールされていました。
C:\Users\neuromag>pip install scikit-cuda
Requirement already satisfied: scikit-cuda in
c:\users\neuromag\anaconda2\lib\site-packages
Requirement already satisfied: mako>=1.0.1 in
c:\users\neuromag\anaconda2\lib\site-packages (from scikit-cuda)
Requirement already satisfied: numpy>=1.2.0 in
c:\users\neuromag\anaconda2\lib\site-packages (from scikit-cuda)
Requirement already satisfied: pycuda>=2016.1 in
c:\users\neuromag\anaconda2\lib\site-packages (from scikit-cuda)
Requirement already satisfied: MarkupSafe>=0.9.2 in c:\users\neuromag\anaconda2\lib\site-packages
(from mako>=1.0.1->scikit-cuda)
Requirement already satisfied: appdirs>=1.4.0 in
c:\users\neuromag\anaconda2\lib\site-packages (from pycuda>=2016.1->scikit-cuda)
Requirement already satisfied: pytest>=2 in c:\users\neuromag\anaconda2\lib\site-packages
(from pycuda>=2016.1->scikit-cuda)
Requirement already satisfied: pytools>=2011.2 in
c:\users\neuromag\anaconda2\lib\site-packages (from pycuda>=2016.1->scikit-cuda)
Requirement already satisfied:
decorator>=3.2.0 in c:\users\neuromag\anaconda2\lib\site-packages (from pycuda>=2016.1->scikit-cuda)
Requirement already satisfied: py>=1.4.29 in
c:\users\neuromag\anaconda2\lib\site-packages (from pytest>=2->pycuda>=2016.1->scikit-cuda)
Requirement already satisfied: colorama in c:\users\neuromag\anaconda2\lib\site-packages
(from pytest>=2->pycuda>=2016.1->scikit-cuda)
Requirement already satisfied:
six>=1.8.0 in c:\users\neuromag\anaconda2\lib\site-packages (from pytools>=2011.2->pycuda>=2016.1->scikit-cuda)
C:\Users\neuromag>
確認
確認します。
C:\Users\neuromag>python
Python 2.7.13 |Anaconda custom
(64-bit)| (default, Dec 19 2016, 13:29:36) [MSC v.1500 64 bit (AMD64)] on win32
Type "help",
"copyright", "credits" or "license" for more
information.
Anaconda is brought to you by Continuum
Analytics.
Please check out:
http://continuum.io/thanks and https://anaconda.org
>>> import mne
>>> mne.utils.set_config('MNE_USE_CUDA','true')
>>> mne.cuda.init_cuda()
C:\Users\neuromag\Anaconda2\lib\site-packages\skcuda\cublas.py:282:
UserWarning: creating CUBLAS context to get version
number
warnings.warn('creating CUBLAS context to get
version number')
Enabling CUDA with 1.62 GB available
memory
>>>
いい感じです。
ホームページではtest_filter.pyを実行しなさいと書かれていますが・・・うまくいきませんでした。
C:\Users\neuromag>pytest C:/Users/neuromag/Anaconda2/Lib/site-packages/mne/tests/test_filter.py
============================= test
session starts =============================
platform win32 -- Python 2.7.13,
pytest-3.0.5, py-1.4.32, pluggy-0.4.0
rootdir: C:\Users\neuromag, inifile:
collected 12 items
Anaconda2\Lib\site-packages\mne\tests\test_filter.py
......F.F..s
==================================
FAILURES ===================================
________________________________ test_filters
_________________________________
@requires_version('scipy', '0.16')
@pytest.mark.slowtest
def test_filters():
"""Test low-, band-, high-pass, and band-stop filters
plus resampling."""
sfreq = 100
sig_len_secs = 15
a = rng.randn(2, sig_len_secs * sfreq)
#
let's test our catchers
for fl in ['blah', [0, 1], 1000.5, '10ss', '10']:
assert_raises(ValueError,
filter_data, a, sfreq, 4,
8, None, fl,
1.0, 1.0, fir_design='firwin')
for nj in ['blah', 0.5]:
assert_raises(ValueError,
filter_data, a, sfreq, 4,
8, None, 1000,
1.0, 1.0, n_jobs=nj,
phase='zero', fir_design='firwin')
assert_raises(ValueError, filter_data, a, sfreq, 4, 8,
None, 100,
1., 1., fir_window='foo')
assert_raises(ValueError, filter_data, a, sfreq, 4, 8,
None, 10,
1., 1., fir_design='firwin') # too short
#
> Nyq/2
assert_raises(ValueError, filter_data, a, sfreq, 4, sfreq / 2., None,
100, 1.0, 1.0, fir_design='firwin')
assert_raises(ValueError, filter_data, a, sfreq, -1, None,
None,
100, 1.0, 1.0, fir_design='firwin')
#
these should work
create_filter(a, sfreq, None,
None, fir_design='firwin')
create_filter(a, sfreq, None,
None, method='iir')
#
check our short-filter warning:
with
warnings.catch_warnings(record=True) as w:
# Warning for low attenuation
filter_data(a, sfreq,
1, 8, filter_length=256, fir_design='firwin2')
assert_true(any('attenuation' in str(ww.message) for ww in w))
with
warnings.catch_warnings(record=True) as w:
# Warning for too short a filter
filter_data(a, sfreq,
1, 8, filter_length='0.5s', fir_design='firwin2')
assert_true(any('Increase filter_length'
in str(ww.message) for ww in w))
#
try new default and old default
freqs = fftfreq(a.shape[-1], 1. / sfreq)
A = np.abs(fft(a))
kwargs = dict(fir_design='firwin')
for fl in ['auto', '10s', '5000ms', 1024, 1023]:
bp = filter_data(a, sfreq, 4, 8, None, fl, 1.0, 1.0,
**kwargs)
bs = filter_data(a, sfreq, 8 + 1.0, 4 - 1.0, None, fl,
1.0, 1.0,
**kwargs)
lp = filter_data(a, sfreq, None, 8, None, fl, 10,
1.0, n_jobs=2,
**kwargs)
hp = filter_data(lp, sfreq, 4, None, None, fl, 1.0, 10, **kwargs)
assert_allclose(hp, bp, rtol=1e-3, atol=1e-3)
assert_allclose(bp +
bs, a, rtol=1e-3, atol=1e-3)
# Sanity check ttenuation
mask = (freqs > 5.5) & (freqs < 6.5)
assert_allclose(np.mean(np.abs(fft(bp)[:,
mask]) / A[:, mask]),
1., atol=0.02)
assert_allclose(np.mean(np.abs(fft(bs)[:,
mask]) / A[:, mask]),
0., atol=0.2)
# now the minimum-phase versions
bp = filter_data(a, sfreq, 4, 8, None, fl, 1.0, 1.0,
phase='minimum', **kwargs)
bs = filter_data(a, sfreq, 8 + 1.0, 4 - 1.0, None, fl,
1.0, 1.0,
phase='minimum', **kwargs)
assert_allclose(np.mean(np.abs(fft(bp)[:,
mask]) / A[:, mask]),
1., atol=0.11)
assert_allclose(np.mean(np.abs(fft(bs)[:,
mask]) / A[:, mask]),
0., atol=0.3)
#
and since these are low-passed, downsampling/upsampling should be close
n_resamp_ignore = 10
bp_up_dn = resample(resample(bp,
2, 1, n_jobs=2), 1, 2, n_jobs=2)
assert_array_almost_equal(bp[n_resamp_ignore:-n_resamp_ignore],
bp_up_dn[n_resamp_ignore:-n_resamp_ignore], 2)
#
note that on systems without CUDA, this line serves as a test for a
#
graceful fallback to n_jobs=1
> bp_up_dn = resample(resample(bp,
2, 1, n_jobs='cuda'), 1, 2,
n_jobs='cuda')
Anaconda2\Lib\site-packages\mne\tests\test_filter.py:357:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
<string>:2:
in resample
???
Anaconda2\Lib\site-packages\mne\utils.py:728: in verbose
return function(*args, **kwargs)
Anaconda2\Lib\site-packages\mne\filter.py:1604: in resample
cuda_dict,
pad)
Anaconda2\Lib\site-packages\mne\cuda.py:349: in fft_resample
x_fft
*= W[np.arange(1, len(x) +
1) // 2].real
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = array([ 0.00058824+0.j, 0.00058824+0.j, 0.00058824+0.j, 0.00058824+0.j,
....j, 0.00058824+0.j,
0.00058824+0.j,
0.00058824+0.j,
0.00058824+0.j])
index = (array([ 0, 1, 1, ..., 849, 849, 850]),)
def __getitem__(self,
index):
"""
.. versionadded:: 2013.1
"""
if
not isinstance(index, tuple):
index = (index,)
new_shape = []
new_offset = 0
new_strides = []
seen_ellipsis = False
index_axis = 0
array_axis = 0
while index_axis < len(index):
index_entry = index[index_axis]
if array_axis > len(self.shape):
raise IndexError("too many axes in
index")
if isinstance(index_entry,
slice):
start, stop, idx_stride = index_entry.indices(
self.shape[array_axis])
array_stride = self.strides[array_axis]
new_shape.append((stop-start-1)//idx_stride+1)
new_strides.append(idx_stride*array_stride)
new_offset += array_stride*start
index_axis += 1
array_axis += 1
elif isinstance(index_entry, (int, np.integer)):
array_shape = self.shape[array_axis]
if index_entry < 0:
index_entry += array_shape
if not (0 <= index_entry < array_shape):
raise IndexError(
"subindex in axis %d out of range" %
index_axis)
new_offset += self.strides[array_axis]*index_entry
index_axis += 1
array_axis += 1
elif index_entry is
Ellipsis:
index_axis += 1
remaining_index_count = len(index)
- index_axis
new_array_axis = len(self.shape) - remaining_index_count
if new_array_axis < array_axis:
raise IndexError("invalid use of ellipsis
in index")
while array_axis < new_array_axis:
new_shape.append(self.shape[array_axis])
new_strides.append(self.strides[array_axis])
array_axis += 1
if seen_ellipsis:
raise IndexError(
"more
than one ellipsis not allowed in index")
seen_ellipsis = True
elif index_entry is np.newaxis:
new_shape.append(1)
new_strides.append(0)
index_axis += 1
else:
>
raise IndexError("invalid subindex in axis %d" % index_axis)
E
IndexError: invalid subindex
in axis 0
Anaconda2\Lib\site-packages\pycuda\gpuarray.py:881: IndexError
---------------------------- Captured stdout call -----------------------------
Setting up band-pass filter from 4 - 8
Hz
Setting up band-pass filter from 4 - 8
Hz
Setting up band-pass filter from 4 - 8
Hz
Setting up band-pass filter from 4 - 8
Hz
Setting up band-pass filter from 4 - 8
Hz
Setting up band-pass filter from 4 - 8
Hz
Setting up band-pass filter from 4 - 8
Hz
Setting up band-pass filter from 4 - 8
Hz
Setting up band-pass filter from 4 - 8
Hz
Setting up band-pass filter from 4 - 50
Hz
Setting up high-pass filter at -1 Hz
Filter length of 1 samples (0.010 sec)
selected
Setting up band-pass filter from 1 - 8
Hz
l_trans_bandwidth chosen to be 1.0 Hz
h_trans_bandwidth chosen to be 2.0 Hz
Attenuation at stop frequency 0.0Hz is
only 13.3dB. Increase filter_length for higher
attenuation.
Setting up band-pass filter from 1 - 8
Hz
l_trans_bandwidth chosen to be 1.0 Hz
h_trans_bandwidth chosen to be 2.0 Hz
Filter length of 50 samples (0.500 sec)
selected
Attenuation at stop frequency 0.0Hz is
only 3.0dB. Increase filter_length for higher attenuation.
Setting up band-pass filter from 4 - 8
Hz
Filter length of 331 samples (3.310
sec) selected
Setting up band-stop filter from 3 - 9
Hz
Filter length of 331 samples (3.310
sec) selected
Setting up low-pass filter at 8 Hz
Filter length of 331 samples (3.310
sec) selected
Setting up high-pass filter at 4 Hz
Filter length of 331 samples (3.310
sec) selected
Setting up band-pass filter from 4 - 8
Hz
Filter length of 331 samples (3.310
sec) selected
Setting up band-stop filter from 3 - 9
Hz
Filter length of 331 samples (3.310
sec) selected
Setting up band-pass filter from 4 - 8
Hz
Filter length of 1001 samples (10.010
sec) selected
Setting up band-stop filter from 3 - 9
Hz
Filter length of 1001 samples (10.010
sec) selected
Setting up low-pass filter at 8 Hz
Filter length of 1001 samples (10.010
sec) selected
Setting up high-pass filter at 4 Hz
Filter length of 1001 samples (10.010
sec) selected
Setting up band-pass filter from 4 - 8
Hz
Filter length of 1001 samples (10.010
sec) selected
Setting up band-stop filter from 3 - 9
Hz
Filter length of 1001 samples (10.010
sec) selected
Setting up band-pass filter from 4 - 8
Hz
Filter length of 501 samples (5.010
sec) selected
Setting up band-stop filter from 3 - 9
Hz
Filter length of 501 samples (5.010 sec)
selected
Setting up low-pass filter at 8 Hz
Filter length of 501 samples (5.010
sec) selected
Setting up high-pass filter at 4 Hz
Filter length of 501 samples (5.010
sec) selected
Setting up band-pass filter from 4 - 8
Hz
Filter length of 501 samples (5.010
sec) selected
Setting up band-stop filter from 3 - 9
Hz
Filter length of 501 samples (5.010
sec) selected
Setting up band-pass filter from 4 - 8
Hz
Setting up band-stop filter from 3 - 9
Hz
Setting up low-pass filter at 8 Hz
Setting up high-pass filter at 4 Hz
Setting up band-pass filter from 4 - 8
Hz
Setting up band-stop filter from 3 - 9
Hz
Setting up band-pass filter from 4 - 8
Hz
Setting up band-stop filter from 3 - 9
Hz
Setting up low-pass filter at 8 Hz
Setting up high-pass filter at 4 Hz
Setting up band-pass filter from 4 - 8
Hz
Setting up band-stop filter from 3 - 9
Hz
Enabling CUDA with 1.62 GB available
memory
CUDA not used, could not instantiate
memory (arrays may be too large), falling back to n_jobs=1
---------------------------- Captured
stderr call -----------------------------
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s remaining: 0.0s
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s finished
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s remaining: 0.0s
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s finished
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s remaining: 0.0s
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s finished
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s remaining: 0.0s
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s finished
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s remaining: 0.0s
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s finished
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s remaining: 0.0s
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s finished
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s remaining: 0.0s
[Parallel(n_jobs=2)]:
Done 2 out of 2 | elapsed: 0.5s finished
C:\Users\neuromag\Anaconda2\Lib\site-packages\skcuda\cublas.py:282:
UserWarning: creating CUBLAS context to get version
number
warnings.warn('creating CUBLAS context to get
version number')
__________________________________ test_cuda
__________________________________
def test_cuda():
"""Test CUDA-based filtering"""
#
NOTE: don't make test_cuda() the last test, or pycuda might spew
#
some warnings about clean-up failing
#
Also, using `n_jobs='cuda'`
on a non-CUDA system should be fine,
# as
it should fall back to using n_jobs=1.
sfreq = 500
sig_len_secs = 20
a = rng.randn(sig_len_secs * sfreq)
kwargs = dict(fir_design='firwin')
with
catch_logging() as log_file:
for fl in ['auto', '10s', 2048]:
args = [a, sfreq, 4,
8, None, fl, 1.0, 1.0]
bp = filter_data(*args, **kwargs)
>
bp_c = filter_data(*args, n_jobs='cuda',
verbose='info', **kwargs)
Anaconda2\Lib\site-packages\mne\tests\test_filter.py:471:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
<string>:2:
in filter_data
???
Anaconda2\Lib\site-packages\mne\utils.py:727: in verbose
return function(*args, **kwargs)
Anaconda2\Lib\site-packages\mne\filter.py:866: in filter_data
copy, pad)
Anaconda2\Lib\site-packages\mne\filter.py:212: in _overlap_add_filter
cuda_dict,
pad)
Anaconda2\Lib\site-packages\mne\filter.py:247: in _1d_overlap_filter
prod = fft_multiply_repeated(h_fft, seg, cuda_dict)
Anaconda2\Lib\site-packages\mne\cuda.py:208: in fft_multiply_repeated
_multiply_inplace_c128(h_fft, cuda_dict['x_fft'])
Anaconda2\Lib\site-packages\pycuda\elementwise.py:199: in __call__
range_ is not None or slice_
is not None)
Anaconda2\Lib\site-packages\pytools\__init__.py:578: in wrapper
result = function(obj, *args, **kwargs)
Anaconda2\Lib\site-packages\pycuda\elementwise.py:177: in generate_stride_kernel_and_types
**self.gen_kwargs)
Anaconda2\Lib\site-packages\pycuda\elementwise.py:147: in get_elwise_kernel_and_types
keep, options, **kwargs)
Anaconda2\Lib\site-packages\pycuda\elementwise.py:75: in get_elwise_module
options=options, keep=keep)
Anaconda2\Lib\site-packages\pycuda\compiler.py:291: in __init__
arch, code, cache_dir, include_dirs)
Anaconda2\Lib\site-packages\pycuda\compiler.py:255: in compile
return compile_plain(source,
options, keep, nvcc, cache_dir,
target)
Anaconda2\Lib\site-packages\pycuda\compiler.py:78: in compile_plain
checksum.update(preprocess_source(source, options, nvcc).encode("utf-8"))
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
source = 'extern "C"
{\n\n
#include <pycuda-complex.hpp>\n\n \n\n
__global__ void multiply_inplace(pycuda:...< n; i += total_threads)\n
{\n
b[i] *= a[i];\n
}\n\n
;\n
}\n
\n}\n'
options = ['-arch', 'sm_35', '-m64',
'-Ic:\\users\\neuromag\\anaconda2\\lib\\site-packages\\pycuda\\cuda']
nvcc = 'nvcc'
def preprocess_source(source,
options, nvcc):
handle, source_path = mkstemp(suffix='.cu')
outf = open(source_path, 'w')
outf.write(source)
outf.close()
os.close(handle)
cmdline = [nvcc, '--preprocess']
+ options + [source_path]
if
'win32' in sys.platform:
cmdline.extend(['--compiler-options', '-EP'])
else:
cmdline.extend(['--compiler-options', '-P'])
result, stdout, stderr = call_capture_output(cmdline, error_on_nonzero=False)
if
result != 0:
from pycuda.driver import CompileError
raise CompileError("nvcc
preprocessing of %s failed" % source_path,
>
cmdline, stderr=stderr)
E
CompileError: nvcc
preprocessing of c:\users\neuromag\appdata\local\temp\tmp2ckoo3.cu failed
E
[command: nvcc --preprocess -arch sm_35 -m64 -Ic:\users\neuromag\anaconda2\lib\site-packages\pycuda\cuda
c:\users\neuromag\appdata\local\temp\tmp2ckoo3.cu --compiler-options -EP]
Anaconda2\Lib\site-packages\pycuda\compiler.py:55:
CompileError
=============== 2 failed, 9 passed, 1 skipped in 15.95 seconds
================
C:\Users\neuromag>
scilab2pyのインストール
将来的に使えればと考えています。
C:\Users\neuromag>pip install
scilab2py
Collecting scilab2py
Downloading scilab2py-0.6-py2.py3-none-any.whl
Installing collected packages:
scilab2py
Successfully installed scilab2py-0.6
C:\Users\neuromag>