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Package Details: python-plaidml 0.7.0-1
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Git Clone URL: | https://aur.archlinux.org/python-plaidml.git (read-only, click to copy) |
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Package Base: | python-plaidml |
Description: | PlaidML machine learning accelerator |
Upstream URL: | https://github.com/plaidml/plaidml |
Keywords: | AMD deeplearning Intel |
Licenses: | Apache 2.0 |
Submitter: | trougnouf |
Maintainer: | aviallon |
Last Packager: | aviallon |
Votes: | 4 |
Popularity: | 0.000000 |
First Submitted: | 2018-09-20 11:33 (UTC) |
Last Updated: | 2020-04-12 17:32 (UTC) |
Dependencies (4)
- python-numpy (python-numpy-flameAUR, python-numpy-gitAUR, python-numpy1AUR, python-numpy-mkl-tbbAUR, python-numpy-mklAUR, python-numpy-mkl-binAUR)
- python-requests
- python-six
- python-pip (make)
Latest Comments
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RunAndTumble commented on 2019-01-14 13:10 (UTC)
It seems that something prevents my code from running. I've installed both packages: plaidml & keras, however, when I try to run the code that is provided as an example, I get this:
Using plaidml.keras.backend backend. INFO:plaidml:Opening device "opencl_intel_intel(r)_hd_graphics_haswell_gt2_mobile.0" Traceback (most recent call last): File "1.py", line 16, in <module> model = kapp.VGG19() File "/usr/lib/python3.7/site-packages/keras/applications/init.py", line 28, in wrapper return base_fun(*args, kwargs) File "/usr/lib/python3.7/site-packages/keras/applications/vgg19.py", line 11, in VGG19 return vgg19.VGG19(*args, kwargs) File "/usr/lib/python3.7/site-packages/keras_applications/vgg19.py", line 112, in VGG19 name='block1_conv1')(img_input) File "/usr/lib/python3.7/site-packages/keras/engine/base_layer.py", line 457, in call output = self.call(inputs, kwargs) File "/usr/lib/python3.7/site-packages/keras/layers/convolutional.py", line 188, in call return self.activation(outputs) File "/usr/lib/python3.7/site-packages/keras/activations.py", line 130, in relu return K.relu(x, alpha=alpha, max_value=max_value, threshold=threshold) File "/usr/lib/python3.7/site-packages/plaidml/tile.py", line 255, in function operation = cls(*args, kwargs) TypeError: init() got an unexpected keyword argument 'threshold'
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