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