code: def out_shape(self):
      return [
          ShapeSpec(
              channels=self.hidden_dim, stride=self.feat_strides[idx]
          )
          for idx in range(len(self.in_channels))
      ]
  
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 6 for calling the HybridEncoder obj's underlying member method code with example usage: obj.out_shape() and returns: unknown