[GitHub] [incubator-mxnet] jmerkow commented on issue #9730: Check padding size for global pooling

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jmerkow commented on issue #9730: Check padding size for global pooling
URL: https://github.com/apache/incubator-mxnet/pull/9730#issuecomment-494238556
 
 
   It worked fine before, it was still sent to the pooling function:
   Here is code from 1.0.0:
   ```
   import mxnet as mx
   
   class Batch(object):
       def __init__(self, data):
           self.data = data
   
       def get_batch_shape(self):
           return tuple(self.data[0].shape)
   
   data = mx.sym.Variable('data')
   gpool = mx.sym.Pooling(data, 
                          name='gpooling', 
                          global_pool=True, 
                          pad=(1,1), pool_type='avg', 
                          kernel=(8,8),)
   mod = mx.mod.Module(gpool, context=mx.gpu(0), label_names=[])
   data = Batch([mx.ndarray.ones((1, 3, 5, 5))])
   mod.bind(for_training=True, force_rebind=True, data_shapes=[('data', 
data.get_batch_shape())],)
   mod.init_params()
   mod.forward(data)
   print(mx.__version__)
   mod.get_outputs()[0].asnumpy()
   ```
   outputs: 
   > [[[[ 0.63999999]] [[ 0.63999999]]  [[ 0.63999999]]]]

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