fix: Fix python API tests for mobilenet v2

This commit modifies test cases to use traced model instead of scripting. Model execution with  mobilenet(using torch.jit.script) has problems with Pytorch 1.10

Signed-off-by: Dheeraj Peri <[email protected]>

Author: peri044

Diff for: tests/py/test_api.py

@@ -51,15 +51,15 @@ def test_from_torch_tensor(self):
             "enabled_precisions": {torch.float}
         }
 
-        trt_mod = trtorch.compile(self.scripted_model, compile_spec)
-        same = (trt_mod(self.input) - self.scripted_model(self.input)).abs().max()
+        trt_mod = trtorch.compile(self.traced_model, compile_spec)
+        same = (trt_mod(self.input) - self.traced_model(self.input)).abs().max()
         self.assertTrue(same < 2e-2)
 
     def test_device(self):
         compile_spec = {"inputs": [self.input], "device": trtorch.Device("gpu:0"), "enabled_precisions": {torch.float}}
 
-        trt_mod = trtorch.compile(self.scripted_model, compile_spec)
-        same = (trt_mod(self.input) - self.scripted_model(self.input)).abs().max()
+        trt_mod = trtorch.compile(self.traced_model, compile_spec)
+        same = (trt_mod(self.input) - self.traced_model(self.input)).abs().max()
         self.assertTrue(same < 2e-2)
 
 
@@ -169,7 +169,7 @@ class TestPTtoTRTtoPT(ModelTestCase):
 
     def setUp(self):
         self.input = torch.randn((1, 3, 224, 224)).to("cuda")
-        self.ts_model = torch.jit.script(self.model)
+        self.ts_model = torch.jit.trace(self.model, [self.input])
 
     def test_pt_to_trt_to_pt(self):
         compile_spec = {