In classification, after pruned and retraining, actually you can still run tlt-evalutate against the tlt model. And also the tlt-infer can generate the output labels/images. For etlt model or trt engine, yes, seems that the classification does not proivde the evaluation ways as detectnet_v2. Currently, you can deploy etlt file or trt engine in Deepstream to verify.
Suggest you check as below.
a. After prune and retrain, get a tlt model, then run tlt-infer. Test one image.
b. Then generate etlt or trt engine, deploy and run in DS with a h264 file(generate based on above image). Check the output.
c. Compare a and b.