class_docstr: Path Aggregation Network with CSP module.
  
  Args:
      in_channels (List[int]): Number of input channels per scale.
      out_channels (int): Number of output channels (used at each scale)
      kernel_size (int): The conv2d kernel size of this Module.
      num_features (int): Number of output features of CSPPAN module.
      num_csp_blocks (int): Number of bottlenecks in CSPLayer. Default: 1
      use_depthwise (bool): Whether to depthwise separable convolution in
          blocks. Default: True
code: def out_shape(self):
      return [
          ShapeSpec(channels=self.out_channels, stride=1.0 / s)
          for s in self.spatial_scales
      ]
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle import ParamAttr
  from ppdet.core.workspace import register, serializable
  from ..shape_spec import ShapeSpec
label_desc: Use image node_id 3 for calling the CSPPAN obj's underlying member method code with example usage: obj.out_shape() and returns: unknown