class_docstr: ## The model
code: def forward(self, x):
      x = self.activation(self.conv1(x))
      x = self.pool1(x)
      x = self.activation(self.conv2(x))
      x = self.pool2(x)
      x = self.activation(self.fc1(x.view(-1, 16 * 50)))
      return self.fc2(x)
  
imports: import torch.nn
  import torch.utils.data
  from labml_helpers.module import Module
  from labml import experiment, tracker
  from labml.configs import option
  from labml_helpers.datasets.mnist import MNISTConfigs
  from labml_helpers.device import DeviceConfigs
  from labml_helpers.metrics.accuracy import Accuracy
  from labml_helpers.seed import SeedConfigs
  from labml_helpers.train_valid import TrainValidConfigs, BatchIndex, hook_model_outputs
  from labml_nn.optimizers.configs import OptimizerConfigs
label_desc: Use image node_id 2 for calling the Model obj's underlying member method code with example usage: obj.forward(x) and returns: self