code: def __init__(self, dim, name: str = None):
      super().__init__(name=name)
      self.conv = layers.Conv2D(
          dim,
          kernel_size=4,
          strides=4,
          padding="same",
          kernel_initializer=KERNEL_INITIALIZER,
          bias_initializer=BIAS_INITIALIZER,
          name="conv2d",
      )
      self.norm = layers.LayerNormalization(epsilon=1e-6, name="norm")
  
imports: import numpy
  import tensorflow
  from tensorflow.keras import layers, initializers, Model
label_desc: Use image node_id 1 to create a new Stem object from inherited base classes: layers with example: obj = Stem(dim, name)