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quolc / neural-collage

Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration
MIT License
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runtime error in google colab notebook #7

Closed ak9250 closed 5 years ago

ak9250 commented 5 years ago

RuntimeError Traceback (most recent call last)

in () 1 import chainer ----> 2 chainer.cuda.get_device(0).use() /usr/local/lib/python3.6/dist-packages/chainer/backends/cuda.py in get_device(*args) 224 warnings.warn('get_device is deprecated. Please use get_device_from_id or' 225 ' get_device_from_array instead.', DeprecationWarning) --> 226 return _get_device(*args) 227 228 /usr/local/lib/python3.6/dist-packages/chainer/backends/cuda.py in _get_device(*args) 230 for arg in args: 231 if type(arg) is not bool and isinstance(arg, _integer_types): --> 232 check_cuda_available() 233 return Device(arg) 234 if isinstance(arg, ndarray): /usr/local/lib/python3.6/dist-packages/chainer/backends/cuda.py in check_cuda_available() 91 '(see https://github.com/chainer/chainer#installation).') 92 msg += str(_resolution_error) ---> 93 raise RuntimeError(msg) 94 if (not cudnn_enabled and 95 not _cudnn_disabled_by_user and RuntimeError: CUDA environment is not correctly set up (see https://github.com/chainer/chainer#installation).CuPy is not correctly installed. If you are using wheel distribution (cupy-cudaXX), make sure that the version of CuPy you installed matches with the version of CUDA on your host. Also, confirm that only one CuPy package is installed: $ pip freeze If you are building CuPy from source, please check your environment, uninstall CuPy and reinstall it with: $ pip install cupy --no-cache-dir -vvvv Check the Installation Guide for details: https://docs-cupy.chainer.org/en/latest/install.html original error: libcublas.so.9.2: cannot open shared object file: No such file or directory get this error in the google colab notebook
quolc commented 5 years ago

Thank you for reporting the issue! The error was caused because of the change of the Colab environment. We have replaced the setup code to support the new CUDA version (c83bdb2).