def round_repeats(repeats, global_params):
    """Calculate module's repeat number of a block based on depth multiplier.
       Use depth_coefficient of global_params.

    Args:
        repeats (int): num_repeat to be calculated.
        global_params (namedtuple): Global params of the model.

    Returns:
        new repeat: New repeat number after calculating.
    """
    multiplier = global_params.depth_coefficient
    if not multiplier:
        return repeats
    # follow the formula transferred from official TensorFlow implementation
    return int(math.ceil(multiplier * repeats))
Calculate module's repeat number of a block based on depth multiplier.
       Use depth_coefficient of global_params.

    Args:
        repeats (int): num_repeat to be calculated.
        global_params (namedtuple): Global params of the model.

    Returns:
        new repeat: New repeat number after calculating.
    
efficientnet_pytorch/utils.py