code: def _conv_layer() -> Layer:
      return klayers.Conv2D(
          filters=32,
          kernel_size=(5, 5),
          strides=(1, 1),
          padding="same",
          activation="relu",
          kernel_initializer="glorot_uniform",
      )
  
file_path: innvestigate/tests/networks/base.py
imports: from __future__ import annotations
  import tensorflow.keras.layers
  import tensorflow.keras.models
  from innvestigate.backend.types import Layer, Model, ShapeTuple
label_desc: Use image node_id 1 for calling a global function with example usage: _conv_layer() and returns: klayers