code: def forward(self, x):
      if self.use_pure_fp16:
          with paddle.static.amp.fp16_guard():
              x = self.stem(x)
              x = self.max_pool(x)
              x = self.blocks(x)
              x = self.avg_pool(x)
              x = self.flatten(x)
              x = self.fc(x)
      else:
          x = self.stem(x)
          x = self.max_pool(x)
          x = self.blocks(x)
          x = self.avg_pool(x)
          x = self.flatten(x)
          x = self.fc(x)
  
      return x
  
imports: import math
  import paddle
  from paddle import ParamAttr
  import paddle.nn
  from paddle.nn import Conv2D, BatchNorm, Linear
  from paddle.nn import AdaptiveAvgPool2D, MaxPool2D, AvgPool2D
  from paddle.nn.initializer import Uniform, Constant, KaimingNormal
label_desc: Use image node_id 2 for calling the ResNet obj's underlying member method code with example usage: obj.forward(x) and returns: x