The dimension of the inputs

[faruihuihui]

Hi

I was trying to run the example in the front page, but got an error as
"The channel dimension of the inputs should be defined. Found None "
It seems that Convolution2D doesn't accept the input shape as "None".
How to make it working? Thanks.

The full error message is as follows:
ValueError Traceback (most recent call last)
in ()
11
12 # uses theano ordering. Note that we leave the image size as None to allow multiple image sizes
---> 13 model.add(Convolution2D(32, 3, 3, border_mode='same', input_shape=(3, None, None)))
14 model.add(Activation('relu'))
15 model.add(Convolution2D(32, 3, 3))

/home/u3714/.conda/envs/test_env/lib/python3.5/site-packages/keras/models.py in add(self, layer)
420 # and create the node connecting the current layer
421 # to the input layer we just created.
--> 422 layer(x)
423
424 if len(layer.inbound_nodes) != 1:

/home/u3714/.conda/envs/test_env/lib/python3.5/site-packages/keras/engine/topology.py in call(self, inputs, **kwargs)
526 'layer.build(batch_input_shape)')
527 if len(input_shapes) == 1:
--> 528 self.build(input_shapes[0])
529 else:
530 self.build(input_shapes)

/home/u3714/.conda/envs/test_env/lib/python3.5/site-packages/keras/layers/convolutional.py in build(self, input_shape)
123 channel_axis = -1
124 if input_shape[channel_axis] is None:
--> 125 raise ValueError('The channel dimension of the inputs '
126 'should be defined. Found None.')
127 input_dim = input_shape[channel_axis]

ValueError: The channel dimension of the inputs should be defined. Found None.

[yhenon]

I'm rather confident this is an issue to do with dim_ordering - can you look at fixes here keras-team/keras#5900 and tell me if it fixes things?

[faruihuihui]

Great! Thanks! It works!