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keras 2.0.1

See original GitHub issue

Hi, I adapted your code to my needs and it was working perfectly until I installed the latest keras version (2.0.1). Did some of you tried to run prednet with keras 2.0? The error I am getting is the following (even if I use ‘th’ or ‘tf’). Any suggestion to fix that will be very appreciated. Thanks a lot.

/usr/local/lib/python2.7/dist-packages/keras/legacy/interfaces.py:86: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(1, (3, 3), padding="same", activation=<function ..., data_format="channels_last") 'call to the Keras 2 API: ' + signature) /usr/local/lib/python2.7/dist-packages/keras/legacy/interfaces.py:86: UserWarning: Update yourConv2Dcall to the Keras 2 API:Conv2D(1, (3, 3), padding=“same”, activation=“relu”, data_format=“channels_last”) ' call to the Keras 2 API: ’ + signature) /usr/local/lib/python2.7/dist-packages/keras/legacy/interfaces.py:86: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(48, (3, 3), padding="same", activation=<function ..., data_format="channels_last") 'call to the Keras 2 API: ' + signature) /usr/local/lib/python2.7/dist-packages/keras/legacy/interfaces.py:86: UserWarning: Update yourConv2Dcall to the Keras 2 API:Conv2D(96, (3, 3), padding=“same”, activation=<function …, data_format=“channels_last”) ' call to the Keras 2 API: ’ + signature) /usr/local/lib/python2.7/dist-packages/keras/legacy/interfaces.py:86: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(192, (3, 3), padding="same", activation=<function ..., data_format="channels_last") '` call to the Keras 2 API: ’ + signature) Traceback (most recent call last): File “predictSpatioTemporal.py”, line 267, in <module> cache_dir=cache_dir) File “predictSpatioTemporal.py”, line 173, in predictSpatioTemporal train_prednet_model() File “code/chalearn_train.py”, line 71, in train_prednet_model errors = prednet(inputs) # errors will be (batch_size, nt, nb_layers) File “/usr/local/lib/python2.7/dist-packages/keras/layers/recurrent.py”, line 252, in call return super(Recurrent, self).call(inputs, **kwargs) File “/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py”, line 528, in call self.build(input_shapes[0]) File “code/prednet.py”, line 196, in build if self.initial_weights is not None: AttributeError: ‘PredNet’ object has no attribute ‘initial_weights’