code: def forward(self, x):
      x_1 = self.conv1(x)
      x_1 = self.bottlenecks(x_1)
      x_2 = self.conv2(x)
      return self.conv3(x_1 + x_2)
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register, serializable
  from ppdet.modeling.ops import get_act_fn
  from ..shape_spec import ShapeSpec
  from ..backbones.csp_darknet import BaseConv
  from ..backbones.cspresnet import RepVggBlock
  from ppdet.modeling.transformers.detr_transformer import TransformerEncoder
  from ..initializer import xavier_uniform_, linear_init_
  from ..layers import MultiHeadAttention
  from paddle import ParamAttr
  from paddle.regularizer import L2Decay
label_desc: Use image node_id 2 for calling the CSPRepLayer obj's underlying member method code with example usage: obj.forward(x) and returns: self