Fix avgpooling forwardims when kernel size > input dim size

This MR fixes dimension calculation in AvgPool when kernel size exceeds input dimensions by forcing output=1 when kernel is larger than input (matching PyTorch/TensorFlow behavior). This problem was the cause of [#261 (closed)]