code: def test_same_output_as_mlp(self):
      sequential = nn.Sequential(
          [
              nn.Dense(4, kernel_init=nn.initializers.ones_init()),
              nn.Dense(8, kernel_init=nn.initializers.ones_init()),
              nn.Dense(2, kernel_init=nn.initializers.ones_init()),
          ]
      )
      mlp = MLP(layer_sizes=[4, 8, 2])
  
      key1, key2 = random.split(random.key(0), 2)
      x = random.uniform(key1, (3, 5))
      params_1 = sequential.init(key2, x)
      params_2 = mlp.init(key2, x)
  
      output_1 = sequential.apply(params_1, x)
      output_2 = mlp.apply(params_2, x)
      np.testing.assert_array_equal(output_1, output_2)
  
imports: from typing import Any, Optional, Sequence
  import jax
  import numpy
  from absl.testing import absltest
  from jax import numpy
  from jax import random
  from flax import linen
label_desc: Use image node_id 3 for calling the SequentialTest obj's underlying member method code with example usage: obj.test_same_output_as_mlp() without return types