Due to my slow Internet speed, I first downloaded the compressed package from https://github.com/Theano/Theano And then I used the command: sudo python setup.py install The installation for keras is also carried out.
I was wondering whether the version of scipy and numpy was too high？ scipy 0.18.1 numpy 1.12.1 pygpu 0.6.5 在 2017年5月2日星期二 UTC+8上午6:07:01，nouiz写道： > > How did you install them? > > Le lun. 1 mai 2017 13:06, 111Moderato <[email protected] <javascript:>> > a écrit : > >> Thanks for your reply. But I think I 'm using the latest version of them? >> >> 在 2017年5月1日星期一 UTC+8下午8:57:54，nouiz写道： >>> >>> I just tried and it worked. Can you update to Theano dev version and >>> keras dev version? I used those version. >>> >>> On Mon, May 1, 2017 at 4:19 AM 111Moderato <[email protected]> wrote: >>> >> from keras.applications.vgg16 import VGG16 >>>> >>>> model=VGG16(include_top=False, weights='imagenet', input_tensor=None, >>>> input_shape=None, pooling=None, classes=1000) >>>> model.summary() >>>> >>>> I ran this code very successful on the CPU, but the error on the GPU as >>>> follows: >>>> >>>> Using Theano backend. >>>> Using cuDNN version 5105 on context None >>>> Mapped name None to device cuda: GeForce GTX TITAN X (0000:02:00.0) >>>> Traceback (most recent call last): >>>> File "/home/xy/workspace/MyProject/1.py", line 12, in <module> >>>> model=VGG16(include_top=False, weights='imagenet', input_tensor=None, >>>> input_shape=None, pooling=None, classes=1000) >>>> File >>>> "/usr/local/lib/python2.7/dist-packages/Keras-2.0.3-py2.7.egg/keras/applications/vgg16.py", >>>> line 171, in VGG16 >>>> layer_utils.convert_all_kernels_in_model(model) >>>> File >>>> "/usr/local/lib/python2.7/dist-packages/Keras-2.0.3-py2.7.egg/keras/utils/layer_utils.py", >>>> line 148, in convert_all_kernels_in_model >>>> K.batch_set_value(to_assign) >>>> File >>>> "/usr/local/lib/python2.7/dist-packages/Keras-2.0.3-py2.7.egg/keras/backend/theano_backend.py", >>>> line 1126, in batch_set_value >>>> x.set_value(np.asarray(value, dtype=x.dtype)) >>>> File "/usr/local/lib/python2.7/dist-packages/theano/gpuarray/type.py", >>>> line 637, in set_value >>>> self.container.value = value >>>> File "/usr/local/lib/python2.7/dist-packages/theano/gof/link.py", line >>>> 477, in __set__ >>>> **kwargs) >>>> File "/usr/local/lib/python2.7/dist-packages/theano/gpuarray/type.py", >>>> line 296, in filter_inplace >>>> old_data.write(data) >>>> File "pygpu/gpuarray.pyx", line 1655, in pygpu.gpuarray.GpuArray.write >>>> (pygpu/gpuarray.c:20879) >>>> ValueError: ('Destination GpuArray is not contiguous', 'Container name >>>> "block1_conv1/kernel"') >>>> >>>> How can i solve it? >>>> my configuration is : >>>> >>>> ubuntu 14.04 >>>> python 2.7 >>>> theano 0.9.0 >>>> keras 2.0.3 >>>> cudnn 5.1 >>>> cuda 7.5 >>>> >>>> I tried to let VGG16's weights = None，also succeeded. So I guess the >>>> data type of the weight is not compatible with the GPU. But I do not know >>>> what to do with it. >>>> >>>> >>>> I mentioned the problem in the keras page, get the following answer >>>> from the Owner： >>>> >>>> The error occurs when we attempt to set the value of a Theano variable >>>> using a Numpy array, at line >>>> x.set_value(np.asarray(value, dtype=x.dtype)) >>>> >>>> This appears to be a Theano issue, so you should ask on the Theano >>>> mailing list / repo. >>>> >>>> -- >>>> >>>> --- >>>> You received this message because you are subscribed to the Google >>>> Groups "theano-users" group. >>>> >>> To unsubscribe from this group and stop receiving emails from it, send >>>> an email to [email protected]. >>> >>> >>>> For more options, visit https://groups.google.com/d/optout. >>>> >>> -- >> >> --- >> You received this message because you are subscribed to the Google Groups >> "theano-users" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected] <javascript:>. >> For more options, visit https://groups.google.com/d/optout. >> > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
