def pad_masks(masks, padding):
    """
    Args:
        masks (tensor): A tensor of shape (B, M, M) representing B masks.
        padding (int): Number of cells to pad on all sides.

    Returns:
        The padded masks and the scale factor of the padding size / original size.
    """
    B = masks.shape[0]
    M = masks.shape[-1]
    pad2 = 2 * padding
    scale = float(M + pad2) / M
    padded_masks = masks.new_zeros((B, M + pad2, M + pad2))
    padded_masks[:, padding:-padding, padding:-padding] = masks
    return padded_masks, scale

    Args:
        masks (tensor): A tensor of shape (B, M, M) representing B masks.
        padding (int): Number of cells to pad on all sides.

    Returns:
        The padded masks and the scale factor of the padding size / original size.
    
EVA-02/det/detectron2/layers/mask_ops.py