general punc model conversion onnx, add test_onnx_punc
| New file |
| | |
| | | import onnxruntime |
| | | import numpy as np |
| | | |
| | | |
| | | if __name__ == '__main__': |
| | | onnx_path = "/disk1/mengzhe.cmz/workspace/FunASR/funasr/export/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 {'input': 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)) |