code: def test_dense_extra_batch_dims(self):
      rng = dict(params=random.key(0))
      x = jnp.ones((1, 2, 3))
      dense_module = nn.Dense(
          features=4,
          kernel_init=initializers.ones,
          bias_init=initializers.ones,
      )
      y, _ = dense_module.init_with_output(rng, x)
      np.testing.assert_allclose(y, np.full((1, 2, 4), 4.0))
  
imports: import functools
  import jax
  import jax.numpy
  import numpy
  from absl.testing import absltest, parameterized
  from jax import random
  from jax.nn import initializers
  from flax import linen
label_desc: Use image node_id 2 for calling the LinearTest obj's underlying member method code with example usage: obj.test_dense_extra_batch_dims() without return types