code: def __init__(self, stride, resolution):
      super().__init__()
      self.stride = stride
      self.resolution = resolution
  
imports: import itertools
  import math
  import warnings
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn.initializer import Constant
  from paddle.nn.initializer import TruncatedNormal
  from paddle.regularizer import L2Decay
  from .vision_transformer import Identity
  from .vision_transformer import ones_
  from .vision_transformer import trunc_normal_
  from .vision_transformer import zeros_
label_desc: Use image node_id 1 to create a new Subsample object from inherited base classes: nn with example: obj = Subsample(stride, resolution)