Forwarding the response to the ML:
The default algo selected by Theano is not correct for conv3d (only
exists for 2D), this should be fixed.
In the mean time, try:
[dnn.conv]
algo_fwd = time_once
algo_bwd_filter = time_once
algo_bwd_data = time_once
On Fri, Sep 30, 2016, luca.wagner.0...@gmail.com wrote:
> Hi Pascal,
>
> I did the previous test using
> [global]
> floatX = float32
> device=gpu
> [cuda]
>
> Following your answer I did another test with
> floatX = float32
> device=cuda0
>
>
> but it doesn't work: ValueError: ("convolution algo %s can't be used for 3d
> convolutions", ('small',))
>
> Using
> floatX = float16
> device=cuda0
> I have the same error: ValueError: ("convolution algo %s can't be used for
> 3d convolutions", ('small',))
>
>
>
> This is the output:
> Python 2.7.12 |Anaconda custom (64-bit)| (default, Jul 2 2016, 17:42:40)
> [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
> Anaconda is brought to you by Continuum Analytics.
> Please check out: http://continuum.io/thanks and https://anaconda.org
> >>> runfile('/home/luca/data/
> DeepLearningTutorials/Theano-3D-ConvNet-master/convnet3d/core/run_multi_conv_t.py',
>
> wdir='/home/luca/data/DeepLearningTutorials/Theano-3D-ConvNet-master/convnet3d/core')
> Mapped name None to device cuda0: GeForce 840M
> Using cuDNN version 5103 on context None
> /home/luca/data/Theano-master/theano/tensor/signal/downsample.py:6:
> UserWarning: downsample module has been moved to the
> theano.tensor.signal.pool module.
> "downsample module has been moved to the theano.tensor.signal.pool
> module.")
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File
> "/home/luca/anaconda2/lib/python2.7/site-packages/spyderlib/widgets/externalshell/sitecustomize.py",
>
> line 714, in runfile
> execfile(filename, namespace)
> File
> "/home/luca/anaconda2/lib/python2.7/site-packages/spyderlib/widgets/externalshell/sitecustomize.py",
>
> line 81, in execfile
> builtins.execfile(filename, *where)
> File
> "/home/luca/data/DeepLearningTutorials/Theano-3D-ConvNet-master/convnet3d/core/run_multi_conv_t.py",
>
> line 32, in <module>
> run_experiments()
> File
> "/home/luca/data/DeepLearningTutorials/Theano-3D-ConvNet-master/convnet3d/core/run_multi_conv_t.py",
>
> line 25, in run_experiments
> Learning_rate=0.001
> File "mpr_convnet_class_t.py", line 169, in __init__
> b )
> File "cuddn_convnet3d.py", line 113, in __init__
> precision=None)
> File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line 958, in
> dnn_conv
> return gpu_dnn_conv(algo=algo)(img, kerns, out, desc)
> File "/home/luca/data/Theano-master/theano/gof/op.py", line 602, in
> __call__
> node = self.make_node(*inputs, **kwargs)
> File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line 513, in
> make_node
> "3d convolutions", (self.algo,))
> ValueError: ("convolution algo %s can't be used for 3d convolutions",
> ('small',))
>
> --
>
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--
Pascal
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