AttributeError: 'Conv2DLayer' object has no attribute 'num_groups'

[Enniyan Thangaraju]

Theano - v1.0.1
Lasagne - v0.2.dev1

I am testing the following:
[https://github.com/kahst/AcousticEventDetection#testing]

Command:
python AED_test.py --filenames 'dataset/schreien_scream.wav' --modelname 'AED_Example_Run_model.pkl' --overlap 4 --results 5 --confidence 0.01

Seems like a Lasagne issue.

HANDLING IMPORTS...
Using cuDNN version 7103 on context None
Mapped name None to device cuda: GeForce GT 650M (0000:01:00.0)
...DONE!
IMPORTING MODEL... DONE!
Traceback (most recent call last):
  File "AED_test.py", line 159, in <module>
    TEST_NET = getPredictionFuntion(NET)
  File "AED_test.py", line 71, in getPredictionFuntion
    net_output = l.get_output(net, deterministic=True)
  File "/home/enniya/miniconda2/lib/python2.7/site-packages/lasagne/layers/helper.py", line 197, in get_output
    all_outputs[layer] = layer.get_output_for(layer_inputs, **kwargs)
  File "/home/enniya/miniconda2/lib/python2.7/site-packages/lasagne/layers/conv.py", line 352, in get_output_for
    conved = self.convolve(input, **kwargs)
  File "/home/enniya/miniconda2/lib/python2.7/site-packages/lasagne/layers/conv.py", line 643, in convolve
    if self.num_groups > 1:  # pragma: no cover
AttributeError: 'Conv2DLayer' object has no attribute 'num_groups'

[Frédéric Bastien]

Try the dev version of lasable. I could help you.

…

On Sat, May 5, 2018 at 1:18 PM Enniyan Thangaraju ***@***.***> wrote: Theano - v1.0.1 Lasagne - v0.2.dev1 I am testing the following: [https://github.com/kahst/AcousticEventDetection#testing] Command: python AED_test.py --filenames 'dataset/schreien_scream.wav' --modelname 'AED_Example_Run_model.pkl' --overlap 4 --results 5 --confidence 0.01 Seems like a Lasagne issue. HANDLING IMPORTS... Using cuDNN version 7103 on context None Mapped name None to device cuda: GeForce GT 650M (0000:01:00.0) ...DONE! IMPORTING MODEL... DONE! Traceback (most recent call last): File "AED_test.py", line 159, in <module> TEST_NET = getPredictionFuntion(NET) File "AED_test.py", line 71, in getPredictionFuntion net_output = l.get_output(net, deterministic=True) File "/home/enniya/miniconda2/lib/python2.7/site-packages/lasagne/layers/helper.py", line 197, in get_output all_outputs[layer] = layer.get_output_for(layer_inputs, **kwargs) File "/home/enniya/miniconda2/lib/python2.7/site-packages/lasagne/layers/conv.py", line 352, in get_output_for conved = self.convolve(input, **kwargs) File "/home/enniya/miniconda2/lib/python2.7/site-packages/lasagne/layers/conv.py", line 643, in convolve if self.num_groups > 1: # pragma: no cover AttributeError: 'Conv2DLayer' object has no attribute 'num_groups' — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#910>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AALC--lXaagZnPhL4-lBBSVFIP--Cg64ks5tvd7ggaJpZM4Tzt84> .

[Jan Schlüter]

Did you create the pickled model yourself or was it done with an earlier version of Lasagne? If the latter, you may need to downgrade Lasagne to commit 8978b1d or earlier (i.e., before grouped convolutions were added):

pip install git+git://github.com/Lasagne/Lasagne@8978b1d

Lasagne models are not designed to be pickled between versions; the usual recommendation is to only export/import the weights using lasagne.layers.get_all_param_values() and rebuild the model for testing using the same code used for training.