code: def forward(self, logits, labels):
      return self.loss_fn(logits, labels)
  
file_path: h2o-llmstudio/llm_studio/src/losses/text_causal_classification_modeling_losses.py
imports: import logging
  from typing import Any, KeysView
  from torch import nn
label_desc: Use image node_id 2 for calling the BinaryCrossEntropyLoss obj's underlying member method code with example usage: obj.forward(logits, labels) and returns: self