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]. For more options, visit https://groups.google.com/d/optout.
