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| | | if __name__ == '__main__': |
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| | | onnx_path = "/disk1/mengzhe.cmz/workspace/FunASR/funasr/export/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/model.onnx" |
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| | | onnx_path = "../damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/model.onnx" |
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| | | sess = onnxruntime.InferenceSession(onnx_path) |
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| | | input_name = [nd.name for nd in sess.get_inputs()] |
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| | | output_name = [nd.name for nd in sess.get_outputs()] |
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| | | |
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| | | def _get_feed_dict(text_length): |
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| | | return {'input': np.ones((1, text_length), dtype=np.int64), 'text_lengths': np.array([text_length,], dtype=np.int32)} |
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| | | return {'inputs': np.ones((1, text_length), dtype=np.int64), 'text_lengths': np.array([text_length,], dtype=np.int32)} |
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| | | |
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| | | def _run(feed_dict): |
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| | | output = sess.run(output_name, input_feed=feed_dict) |
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