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Fix invalid access of Keras backend #83

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Fix invalid access of Keras backend #83

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2 changes: 1 addition & 1 deletion prednet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -165,7 +165,7 @@ def get_initial_state(self, x):
initial_state = K.reshape(initial_state, output_shp)
initial_states += [initial_state]

if K._BACKEND == 'theano':
if K.backend() == 'theano':
from theano import tensor as T
# There is a known issue in the Theano scan op when dealing with inputs whose shape is 1 along a dimension.
# In our case, this is a problem when training on grayscale images, and the below line fixes it.
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