code: def __init__(self):
      super().__init__()
  
      self.dense1 = torch.nn.Linear(8192, 64)
      self.activation1 = torch.nn.ReLU()
      self.dense2 = torch.nn.Linear(64, 8)
      self.activation2 = torch.nn.ReLU()
      self.dense3 = torch.nn.Linear(8, num_classes)
      self.softmax = torch.nn.Softmax(dim=1)
  
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 1 to create a new TorchModel object from inherited base classes: torch.nn with example: obj = TorchModel()