code: def _MiniResNet(classes, input_shape, weights):
      inputs = tf.keras.Input(shape=input_shape)
      outputs = _resnet(
          inputs, [1, 1, 1, 1], classes=classes, filters=2
      )
      return tf.keras.Model(inputs=inputs, outputs=outputs)
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  import jax
  from jax import numpy
  import neural_tangents
  from neural_tangents import experimental
  import numpy
  import tensorflow
label_desc: Use image node_id 13 for calling a global function with example usage: _MiniResNet(classes, input_shape, weights) and returns: tf