    def test_embedding_different_images(self, pipeline_model, embedding_size):
        """
        target: test embedding for normal case
        method:  embedding with different images
        expected: return not identical embeddings
        """
        nums = 2
        embeddings = []
        emb_conf = AutoConfig.load_config(pipeline_name)
        emb_conf.model = pipeline_model
        emb_pipe = AutoPipes.pipeline(pipeline_name, emb_conf)
        for i in range(nums):
            embedding = emb_pipe(data_path + "towhee_test_image%d.jpg" % i).to_list()[0][0].tolist()
            embeddings.append(embedding)
            assert len(embedding) == embedding_size
        assert embeddings[0] is not embeddings[1]
        return True
target: test embedding for normal case
method:  embedding with different images
expected: return not identical embeddings
tests/testcases/test_image_embedding.py