[fbsync] Setting seeds for test_batched_nms_implementations (#4766)

Summary:
* adding multiweight support for deeplabv3 prototype models

* adding default values for optional params

* fixing bug

* addressing PR comment

* fixing seed in test_batched_nms_implementations

* change seeds in test_batched_nms_implementations

* change seeds in test_batched_nms_implementations

Reviewed By: datumbox

Differential Revision: D32064711

fbshipit-source-id: f88cac21cb8a906237a9ef26bb53acca047dcace

Author: fmassa

test/test_ops.py

@@ -557,8 +557,10 @@ def test_nms_cuda_float16(self):
         keep16 = ops.nms(boxes.to(torch.float16), scores.to(torch.float16), iou_thres)
         assert_equal(keep32, keep16)
 
-    def test_batched_nms_implementations(self):
+    @pytest.mark.parametrize("seed", range(10))
+    def test_batched_nms_implementations(self, seed):
         """Make sure that both implementations of batched_nms yield identical results"""
+        torch.random.manual_seed(seed)
 
         num_boxes = 1000
         iou_threshold = 0.9