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funasr_local/export/test/test_onnx_punc.py

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+import onnxruntime
+import numpy as np
+
+
+if __name__ == '__main__':
+    onnx_path = "../damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/model.onnx"
+    sess = onnxruntime.InferenceSession(onnx_path)
+    input_name = [nd.name for nd in sess.get_inputs()]
+    output_name = [nd.name for nd in sess.get_outputs()]
+
+    def _get_feed_dict(text_length):
+        return {'inputs': np.ones((1, text_length), dtype=np.int64), 'text_lengths': np.array([text_length,], dtype=np.int32)}
+
+    def _run(feed_dict):
+        output = sess.run(output_name, input_feed=feed_dict)
+        for name, value in zip(output_name, output):
+            print('{}: {}'.format(name, value))
+    _run(_get_feed_dict(10))