padding in the averaging calculation. Default: "True"
Examples:
  >>> # pool of square window of size=3, stride=2
  >>> input = torch.tensor([[[1, 2, 3, 4, 5, 6, 7]]], dtype=torch.float32)
  >>> F.avg_pool1d(input, kernel_size=3, stride=2)
  tensor([[[ 2.,  4.,  6.]]])
