Question about RAM consumption increasing.
Hello everybody.

Forgive me for the stupid question but: 
Is expected the RAM consumption to increase or have high usage values?

I've been using a `stt_en_conformer_ctc_large.nemo` in GPU without any problem, to be more specific I'm running two models in two child processes. After every transcription, `torch.cuda.empty_cache()` solve my problems with the GPU cache and so on.

But I noticed when these processes start, the RAM had a significantly increased consumption (basically starting from model size + other things) and increase transcription after transcription.

That is the way I'm loading the models:
```python
 asr_model = nemo_asr.models.EncDecCTCModel.restore_from(_model_path)
 asr_model.eval()
 asr_model = asr_model.to(asr_model.device)
```

Is this normal behavior? Is there anything that I can do to solve it?

Thank you!