To add as much info as I can to help im on theano 0.9.0 (installed using bleeding edge instructions but version didnt change) keras 2.0.4
Windows 10 build 1703, on a zbook studio 15 G3. Quadro 1000M graphics card with 4GB of DDR5 memory On Tuesday, May 2, 2017 at 8:16:41 AM UTC+8, Daniel Betteridge wrote: > > For me at least I was using the anaconda package, and followed > http://ankivil.com/installing-keras-theano-and-dependencies-on-windows-10/ > > to upgrade to the theano bleeding edge, same error as 111Moderato > > On Tuesday, May 2, 2017 at 6:07:01 AM UTC+8, nouiz wrote: >> >> How did you install them? >> >> Le lun. 1 mai 2017 13:06, 111Moderato <[email protected]> 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]. >>> 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.
