developer-mayuan

def fixed_padding(inputs, kernel_size, data_format):
    """
    Pads the input along the spatial dimensions independently of input size.
    :param inputs: A tensor of size [batch, channels, height_in, width_in] or [batch, height_in, width_in]
    :param kernel_size: The kernel to be used in the conv2d or max_pool2d operation. Should be a positive integer.
    :param data_format: The input format ('channels_last' or 'channels_first').
    :return A tensor with the same format as the input with the data either intact (if kernel_size == 1) or padded (if kernel_size > 1).
    """
    pad_total = kernel_size - 1
    pad_beg = pad_total // 2