def needed_key(self):
return self._needed_key_impl('activation_fn')
# class MaxPool(Chip):
# ''' This class_chip collapses the input tensor by max pooling along its last dimension.
# '''
# def construct(self, input_tv):
# pool_size = self.prm('pool_size')
# y = T.reshape(input_tv,
# ([input_tv.shape[i] for i in range(input_tv.ndim - 1)]
# + [T.floor_div(input_tv.shape[input_tv.ndim - 1], pool_size).astype('int32'), pool_size]),
# ndim=input_tv.ndim + 1)
# self.output_tv = T.max(y, axis=y.ndim - 1)
# return tuple()
# def needed_key(self):
# return self._needed_key_impl('pool_size')
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