Update

Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>

auto_transformers.py

@@ -84,6 +84,9 @@ class AutoTransformers(NNOperator):
         inputs = list(inputs.values())
         if jit:
             try:
+                try:
+                    traced_model = torch.jit.script(self.model)
+                except Exception:
                     traced_model = torch.jit.trace(self.model, inputs, strict=False)
                 torch.jit.save(traced_model, destination)
             except Exception as e:

test_save.py

@@ -0,0 +1,18 @@
+from auto_transformers import AutoTransformers
+
+import torch
+
+models = ['bert-base-cased', 'distilbert-base-cased', 'distilgpt2']
+
+for name in models:
+    try:
+        op = AutoTransformers(model_name=name)
+        out1 = op('hello, world.')
+        op.save_model()
+        op.model = torch.jit.load(name + '.pt')
+        out2 = op('hello, world.')
+        assert (out1 == out2).all()
+        print(f'[SUCCESS] Saved torchscript for model "{name}"')
+    except Exception as e:
+        print(f'[ERROR] Fail for model "{name}": {e}.')
+        continue