pooling error when featuremap.shape[0] or featuremap.shape[1] is odd,， the pooling result is not same with caffe's pooling layer

[zjd1988]

I ran the NumPyCnn's pooling code, and find the result is not same with caffe's pooling layer, when featuremap.shape[0] or featuremap.shape[1] is odd,. And I think this is a bug.

I modify the pooling code ,and it works well in my project. The new code is below.