| | |
| | | |
| | | |
| | | if __name__ == '__main__': |
| | | onnx_path = "/Users/zhifu/Downloads/model.onnx" |
| | | onnx_path = "/mnt/workspace/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-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(feats_length): |
| | | return {'speech': np.zeros((1, feats_length, 560), dtype=np.float32), 'speech_lengths': np.array([feats_length,], dtype=np.int64)} |
| | | return {'speech': np.zeros((1, feats_length, 560), dtype=np.float32), 'speech_lengths': np.array([feats_length,], dtype=np.int32)} |
| | | |
| | | def _run(feed_dict): |
| | | output = sess.run(output_name, input_feed=feed_dict) |