class_docstr: Lightweight wrapper around a fairspeech embedding model 
code: def __call__(self, x):
      x = torch.from_numpy(x).float().cuda(self.gpu)
      with torch.no_grad():
          z, c = self.model(x.unsqueeze(0))
  
      return z.squeeze(0).cpu().numpy(), c.squeeze(0).cpu().numpy()
  
imports: import argparse
  import glob
  import os
  from shutil import copy
  import h5py
  import numpy
  import soundfile
  import torch
  import tqdm
  import fairseq
  from torch import nn
label_desc: Use image node_id 2 for calling the Prediction obj's underlying member method code with example usage: obj.__call__(x) and returns: z,  c