code: def get_equivalent_kernel_bias(self):
      kernel3x3, bias3x3 = self._fuse_bn_tensor(self.conv1)
      kernel1x1, bias1x1 = self._fuse_bn_tensor(self.conv2)
      if self.alpha:
          return (
              kernel3x3
              + self.alpha * self._pad_1x1_to_3x3_tensor(kernel1x1),
              bias3x3 + self.alpha * bias1x1,
          )
      else:
          return (
              kernel3x3 + self._pad_1x1_to_3x3_tensor(kernel1x1),
              bias3x3 + bias1x1,
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle import ParamAttr
  from paddle.regularizer import L2Decay
  from paddle.nn.initializer import Constant
  from ppdet.modeling.ops import get_act_fn
  from ppdet.core.workspace import register, serializable
  from ..shape_spec import ShapeSpec
label_desc: Use image node_id 4 for calling the RepVggBlock obj's underlying member method code with example usage: obj.get_equivalent_kernel_bias() and returns: unknown,  unknown, unknown,  unknown