Is BatchModel GPU infereance deterministic?

Hi, I'm running a script https://github.com/alphacep/vosk-api/blob/master/python/example/test_gpu_batch.py with an audio file. You can download this audio file using
```sh
wget https://dldata-public.s3.us-east-2.amazonaws.com/2086-149220-0033.wav
```
I'm using the Dockerfile https://github.com/alphacep/vosk-server/blob/master/docker/Dockerfile.kaldi-en-gpu

But when I'm running the `test_gpu_batch.py` with this same audio file it gives a different output for the same audio. **e.g: like vs liked**. Please check 5 outputs of a same audio file
```sh
2086-149220-0033 well i don't wish to see it any more observe phoebe turning away her eyes it is certainly very liked the old portrait
2086-149220-0033 well i don't wish to see it any more observe phoebe turning away her eyes it is certainly very like the old portrait
2086-149220-0033 well i don't wish to see it any more observe phoebe turning away her eyes it is certainly very liked the old portrait
2086-149220-0033 well i don't wish to see it any more observe phoebe turning away her eyes it is certainly very like the old portrait
2086-149220-0033 well i don't wish to see it any more observe phoebe turning away her eyes it is certainly very like the old portrait
```
Is there any way that the model always gives the same output for the same audio sample?

Please let me know If anything that I'm missing
Thanks