the diou loss function has bugs?

[chenying99]

the file loss.py  in line 181  182 183:

euclidean = tf.linalg.norm(b2_center - b1_center)
diag_length = tf.linalg.norm([enclose_ymax - enclose_ymin, enclose_xmax - enclose_xmin])
diou = iou - (euclidean ** 2) / (diag_length ** 2)    

the result of tf.linalg.norm is one value, but the train dataset has many samples (many bboxes)

diou = iou - (euclidean ** 2) / (diag_length ** 2)

the dimensions of iou is not equal to the dimensions of (euclidean ** 2) / (diag_length ** 2) ?

the last dimensions of iou is the number of bboxes, the last dimensions of (euclidean ** 2) / (diag_length ** 2) is one