const int remaining_right = pool.w_in - ((pool.w_out - 1) * pool.sw);
    const int ceil_pad_right = pool.kw - remaining_right;
    pad_right = ceil_pad_right - pool.pw;
  }

  return {pool.ph, pad_bottom, pool.pw, pad_right};
}

DenseIntElementsAttr GetPadOpAttr(Builder& builder, CompositeOp op) {
  const TorchAvgPoolData pool = GetTorchAvgPoolData(op);

  const auto values = GetPadOpPaddingValues(pool);

	MB_HELP                 = 0x00004000
	MB_NOFOCUS              = 0x00008000
	MB_SETFOREGROUND        = 0x00010000
	MB_DEFAULT_DESKTOP_ONLY = 0x00020000
	MB_TOPMOST              = 0x00040000
	MB_RIGHT                = 0x00080000
	MB_RTLREADING           = 0x00100000
	MB_SERVICE_NOTIFICATION = 0x00200000
)

const (
	MOVEFILE_REPLACE_EXISTING      = 0x1
	MOVEFILE_COPY_ALLOWED          = 0x2

      paddings = [[pad_top, pad_bottom], [pad_left, pad_right]]

  The effective spatial dimensions of the zero-padded input tensor will be:

      height_pad = pad_top + height + pad_bottom
      width_pad = pad_left + width + pad_right}]>:$paddings,

    ConfinedAttr<I64Attr, [IntMinValue<2>]>:$block_size
  );

  let results = (outs