code: def test_dense_general_batch_dim(self):
      rng = dict(params=random.key(0))
      x = jnp.ones((2, 1, 3, 5))
  
      state = {"counter": 0.0}
  
      def _counter_init(rng, shape, dtype, state):
          del rng, dtype
          state["counter"] += 1.0
          return jnp.full(shape, state["counter"])
  
      counter_init = functools.partial(_counter_init, state=state)
  
      dg_module = nn.DenseGeneral(
          features=7,
          axis=(3, -2),
          batch_dims=0,
          bias_init=initializers.ones,
          kernel_init=counter_init,
      )
      y, _ = dg_module.init_with_output(rng, x)
      target = np.full((2, 1, 7), 16.0)
      np.testing.assert_allclose(y, target)
  
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 8 for calling the LinearTest obj's underlying member method code with example usage: obj.test_dense_general_batch_dim() and returns: jnp