4c13ae9d17d1709ed7a777ce1bb72212e8d2559d,tests/python/frontend/pytorch/test_object_detection.py,,test_detection_models,#,88

Before Change

    // with pytorch output. Some boxes might have a quite tiny difference in score
    // and the order can become different. We just measure how many valid boxes
    // there are for input image.
    pt_scores = pt_res[1].detach().numpy().tolist()
    tvm_scores = tvm_res[1].asnumpy().tolist()
    num_pt_valid_scores = num_tvm_valid_scores = 0

    for score in pt_scores:

After Change

        score_threshold = 0.9
        print("Num boxes:", pt_res[0].cpu().numpy().shape[0])
        print("Num valid boxes:", np.sum(pt_res[1].cpu().numpy() >= score_threshold))

Instances