code: def forward(self, x):
      x = self.conv1(x)
      x = F.relu(x)
      x = self.pool1(x)
  
      x = self.conv2(x)
      x = F.relu(x)
      x = self.pool2(x)
  
      x = self.conv3(x)
      x = F.relu(x)
  
      x = self.flatten(x)
      x = self.linear1(x)
      x = F.relu(x)
      x = self.linear2(x)
      return x
  
file_path: VisualDL/demo/components/profiler_test.py
imports: import numpy
  import paddle
  import paddle.nn.functional
  import paddle.profiler
  from paddle.vision.transforms import ToTensor
label_desc: Use image node_id 2 for calling the MyNet obj's underlying member method code with example usage: obj.forward(x) and returns: x