code: def __call__(self, real_logits, fake_logits):
      return (F.relu(1 + real_logits) + F.relu(1 - fake_logits)).mean()
  
file_path: NeMo/nemo/collections/tts/losses/spectrogram_enhancer_losses.py
imports: import torch
  import torch.nn.functional
  from einops import rearrange
  from torch.autograd import grad
  from nemo.collections.tts.parts.utils.helpers import mask_sequence_tensor
label_desc: Use image node_id 1 for calling the HingeLoss obj's underlying member method code with example usage: obj.__call__(real_logits, fake_logits) and returns: unknown