code: def __init__(self, feat_channels):
      super(PicoSE, self).__init__()
      self.fc = nn.Conv2D(feat_channels, feat_channels, 1)
      self.conv = ConvNormLayer(feat_channels, feat_channels, 1, 1)
  
      self._init_weights()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle import ParamAttr
  from paddle.nn.initializer import Normal, Constant
  from ppdet.modeling.ops import get_static_shape
  from ..initializer import normal_
  from ..assigners.utils import generate_anchors_for_grid_cell
  from ..bbox_utils import bbox_center, batch_distance2bbox, bbox2distance
  from ppdet.core.workspace import register
  from ppdet.modeling.layers import ConvNormLayer
  from .simota_head import OTAVFLHead
  from .gfl_head import Integral, GFLHead
  from ppdet.modeling.necks.csp_pan import DPModule
label_desc: Use image node_id 1 to create a new PicoSE object from inherited base classes: nn with example: obj = PicoSE(feat_channels)