code: def evaluate_batch(self, batch, model):
      # Return something... anything.
      val = batch[0]
      return {"loss": val}
  
file_path: determined/harness/tests/experiment/fixtures/ancient-checkpoints/0.13.13-pytorch-old/code/model_def.py
imports: import torch
  from torch import nn
  from determined.pytorch import DataLoader, PyTorchTrial
label_desc: Use image node_id 5 for calling the OneVarPytorchTrial obj's underlying member method code with example usage: obj.evaluate_batch(batch, model) and returns: dict