speech_asr
2023-03-16 2ba4683eb2ce42eec91250debe88b424cbc2d67f
funasr/export/test_torchscripts.py
@@ -2,7 +2,7 @@
import numpy as np
if __name__ == '__main__':
   onnx_path = "/mnt/workspace/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.torchscripts"
   onnx_path = "/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.torchscripts"
   loaded = torch.jit.load(onnx_path)
   
   x = torch.rand([2, 21, 560])