test score_label Inconsistent when test images Inconsistent in Same image

[montensorrt]

First of all, thank you for presenting your work as open source.
When I tested model, I found test score_label changed when test same one image,When the batch_size is not the same, the test result is not the same，I tested 1 image, 2 images, and 3 images in sequence. One of them always exists, but the results are inconsistent in the 3 tests.
such as: Batch_size = 1
score_label: [2.193307 2.3324122 2.3044298]
score_label: [2.193307 2.3324122]
score_label: [2.159736],

When I add an image to the test data, the test result is different from the previous test result, on the same image。
How is this going and How can i modify？
Looking forward to hearing from you.

[montensorrt]

When the test batch_size is greater than the number of images,
score_label: [2.159736]
score_label: [2.1134617 2.0790164]
score_label: [2.1982777 2.3371158 2.3093517]
We can see that when there is only one image, the result is unchanged

[gudovskiy]

@montensorrt probably, it is because I normalize likelihoods for convenience. Try to remove it