ImportError: Something is wrong with the numpy installation. While importing we detected an older version of numpy in ['/usr/local/lib/python2.7/dist-packages/numpy']. One method of fixing this is to repeatedly uninstall numpy until none is found, then reinstall this version.
$ rm -rf /usr/local/lib/python2.7/dist-packages/numpy*
$ pip install numpy
$ pip install --upgrade pip
$ pip --no-cache-dir install -I numpy
ERROR: chainer 5.3.0 has requirement cupy-cuda90<6.0.0,>=5.3.0, but you'll have cupy-cuda90 6.6.0 which is incompatible.
$ pip --no-cache-dir install -I cupy-cuda90
$ pip --no-cache-dir install -I chainer==5.3.0
RuntimeError: CUDA environment is not correctly set up
(see https://github.com/chainer/chainer#installation).cannot import name _is_fusing
ImportError: Something is wrong with the numpy installation. While importing we detected an older version of numpy in ['/usr/local/lib/python2.7/dist-packages/numpy']. One method of fixing this is to repeatedly uninstall numpy until none is found, then reinstall this version. $ rm -rf /usr/local/lib/python2.7/dist-packages/numpy* $ pip install numpy
$ pip install --upgrade pip $ pip --no-cache-dir install -I numpy ERROR: chainer 5.3.0 has requirement cupy-cuda90<6.0.0,>=5.3.0, but you'll have cupy-cuda90 6.6.0 which is incompatible. $ pip --no-cache-dir install -I cupy-cuda90 $ pip --no-cache-dir install -I chainer==5.3.0 RuntimeError: CUDA environment is not correctly set up (see https://github.com/chainer/chainer#installation).cannot import name _is_fusing
LD_LIBRARY_PATH="/usr/local/cuda/lib64:$LD_LIBRARY_PATH" pip --no-cache-dir install -IU chainer==5.3.0 CUDA_VISIBLE_DEVICES=6 python PredNet/main.py -i trainset/train_list.txt -g 0
for Predictive_Coding_DNN_TB/models
snakes/illusionSingleL.list is list of 21 still images
CUDA_VISIBLE_DEVICES=3 python2 PredNet/main.py --test -g 0 --initmodel models/400000.model --images snakes/illusionSingleL.list --input_len 19 --ext 2