code: def run_torch_custom_training_loop():
      torch_model = TorchModel()
      optimizer = optim.Adam(torch_model.parameters(), lr=0.001)
      loss_fn = nn.CrossEntropyLoss()
      train_loop(
          torch_model,
          train_loader,
          num_epochs=num_epochs,
          optimizer=optimizer,
          loss_fn=loss_fn,
          framework="torch",
      )
  
file_path: keras/benchmarks/torch_ctl_benchmark/dense_model_benchmark.py
imports: import numpy
  import torch
  import torch.nn
  import torch.optim
  import keras
  from benchmarks.torch_ctl_benchmark.benchmark_utils import train_loop
  from keras import layers
label_desc: Use image node_id 2 for calling a global function with example usage: run_torch_custom_training_loop() without return types