code: def forward(self, x):
      x = self.conv(x)
      x = self.norm(x)
      x = self.act(x)
  
      return x
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register
  from paddle import ParamAttr
  from paddle.regularizer import L2Decay
  from .fcos_head import ScaleReg
  from ..initializer import bias_init_with_prob, constant_, normal_
  from ..ops import get_act_fn, anchor_generator
  from ..rbox_utils import box2corners
  from ..losses import ProbIoULoss
  import numpy
label_desc: Use image node_id 2 for calling the ConvBNLayer obj's underlying member method code with example usage: obj.forward(x) and returns: x