code: def test_composition_conv(self, avg_pool, same_inputs):
      rng = random.PRNGKey(0)
      x1 = random.normal(rng, (3, 5, 5, 3))
      x2 = None if same_inputs else random.normal(rng, (4, 5, 5, 3))
  
      Block = stax.serial(stax.Conv(256, (3, 3)), stax.Relu())
      if avg_pool:
          Readout = stax.serial(
              stax.Conv(256, (3, 3)),
              stax.GlobalAvgPool(),
              stax.Dense(10),
          )
      else:
          Readout = stax.serial(stax.Flatten(), stax.Dense(10))
  
      block_ker_fn, readout_ker_fn = Block[2], Readout[2]
      _, _, composed_ker_fn = stax.serial(Block, Readout)
  
      composed_ker_out = composed_ker_fn(x1, x2)
      ker_out_no_marg = readout_ker_fn(
          block_ker_fn(x1, x2, diagonal_spatial=False)
      )
      ker_out_default = readout_ker_fn(block_ker_fn(x1, x2))
      self.assertAllClose(composed_ker_out, ker_out_no_marg)
      self.assertAllClose(composed_ker_out, ker_out_default)
  
      if avg_pool:
          with self.assertRaises(ValueError):
              ker_out = readout_ker_fn(
                  block_ker_fn(x1, x2, diagonal_spatial=True)
              )
      else:
          ker_out_marg = readout_ker_fn(
              block_ker_fn(x1, x2, diagonal_spatial=True)
          )
          self.assertAllClose(composed_ker_out, ker_out_marg)
  
imports: import functools
  import itertools
  import random
  from absl.testing import absltest
  from jax import config
  from jax import default_backend
  from jax import jit
  from jax import random
  from jax.example_libraries import stax
  import jax.numpy
  import neural_tangents
  from neural_tangents import stax
  from neural_tangents._src.empirical import _DEFAULT_TESTING_NTK_IMPLEMENTATION
  from tests import test_utils
  import numpy
label_desc: Use image node_id 9 for calling the StaxTest obj's underlying member method code with example usage: obj.test_composition_conv(avg_pool, same_inputs) without return types