How to stop shuffle for test.py

[matz23]

Hello. Thank you for uploading your great codes.
Recently, I'm working with these codes for semantic segmentation.
I made my config file based on deeplabv3plus model since this model provides config for iSAID and data I used is aerial & drone images. I finished setting my env and codes run pretty well.
But the problem is I couldn't find how to handle 'shuffle' pararmeter.
As I know, test.py returns output as a pickle format and it contains numpy array.
In my case, I used 84 png files(20002900) as a input and of course, output pickle file contains numpy array (20002900*84).
But when I unpickle to check the mask(np array), 84 arrays are in condtition of wrong order.
I expected results made in a same order as input data, but I couldn't find the way how to solve the problem.
ex) Input data : num101.png, num102.png ... num184.png
Output data(unpickled) : num123.png, num154.png ... num103.png

In test.py file, I could find data_loader has shuffle as False, but I couldn't understand why output pickle file contains np array in shuffled condition.
If I miss something, it would be thankful to let me know how to solve this problem.
Thank you.