fix test unit of nms and batched_nms for tensorrt (#872)

tests/test_ops/test_tensorrt.py

@@ -123,8 +123,8 @@ def test_nms():
     fp16_mode = False
     max_workspace_size = 1 << 30
     data = mmcv.load('./tests/data/batched_nms_data.pkl')
-    boxes = data['boxes'].cuda()
-    scores = data['scores'].cuda()
+    boxes = torch.from_numpy(data['boxes']).cuda()
+    scores = torch.from_numpy(data['scores']).cuda()
     nms = partial(nms, iou_threshold=0.7, offset=0)
     wrapped_model = WrapFunction(nms)
     wrapped_model.cpu().eval()
@@ -195,9 +195,9 @@ def test_batched_nms():
     max_workspace_size = 1 << 30
     data = mmcv.load('./tests/data/batched_nms_data.pkl')
     nms_cfg = dict(type='nms', iou_threshold=0.7)
-    boxes = data['boxes'].cuda()
-    scores = data['scores'].cuda()
-    idxs = data['idxs'].cuda()
+    boxes = torch.from_numpy(data['boxes']).cuda()
+    scores = torch.from_numpy(data['scores']).cuda()
+    idxs = torch.from_numpy(data['idxs']).cuda()
     class_agnostic = False
 
     nms = partial(batched_nms, nms_cfg=nms_cfg, class_agnostic=class_agnostic)