code: def to_tf_instance(base: layers.Conv2d):
      return Conv2d(
          num_filters=base.num_filters,
          kernel_size=base.kernel_size,
          strides=base.strides,
      )
  
imports: import math
  from types import FunctionType
  import tensorflow
  from rl_coach.architectures import layers
  from rl_coach.architectures.tensorflow_components import utils
label_desc: Use image node_id 3 for calling the Conv2d obj's underlying member method code with example usage: obj.to_tf_instance(base) and returns: Conv2d