DALL-E 2: 修复dev/dalle2_1分支问题，增加测试代码，本地测试通过

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10037492

tests/pipelines/test_multi_stage_diffusion.py

@@ -0,0 +1,40 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+
+import unittest
+
+import numpy as np
+import torch
+
+from modelscope.models import Model
+from modelscope.outputs import OutputKeys
+from modelscope.pipelines import pipeline
+from modelscope.utils.constant import Tasks
+from modelscope.utils.test_utils import test_level
+
+
+class MultiStageDiffusionTest(unittest.TestCase):
+    model_id = 'damo/cv_diffusion_text-to-image-synthesis'
+    test_text = {'text': 'Photograph of a baby chicken wearing sunglasses'}
+
+    @unittest.skip(
+        'skip test since the pretrained model is not publicly available')
+    def test_run_with_model_from_modelhub(self):
+        model = Model.from_pretrained(self.model_id)
+        pipe_line_text_to_image_synthesis = pipeline(
+            task=Tasks.text_to_image_synthesis, model=model)
+        img = pipe_line_text_to_image_synthesis(
+            self.test_text)[OutputKeys.OUTPUT_IMG]
+        print(np.sum(np.abs(img)))
+
+    @unittest.skip(
+        'skip test since the pretrained model is not publicly available')
+    def test_run_with_model_name(self):
+        pipe_line_text_to_image_synthesis = pipeline(
+            task=Tasks.text_to_image_synthesis, model=self.model_id)
+        img = pipe_line_text_to_image_synthesis(
+            self.test_text)[OutputKeys.OUTPUT_IMG]
+        print(np.sum(np.abs(img)))
+
+
+if __name__ == '__main__':
+    unittest.main()