code: def evaluate_batch(self, batch: pytorch.TorchData) -> Dict[str, Any]:
      data, label = batch
  
      loss = self.loss_fn(self.model(data), label)
  
      weight = self.model.weight.data.item()
  
      return {"val_loss": loss, "weight": weight}
  
file_path: determined/e2e_tests/tests/fixtures/pytorch_identity/model_def.py
imports: from typing import Any, Dict, Tuple
  import torch.utils.data
  from determined import pytorch
label_desc: Use image node_id 3 for calling the IdentityPyTorchTrial obj's underlying member method code with example usage: obj.evaluate_batch(batch) and returns: dict