code: def test_multihead_self_attention_w_dropout(self):
      rng = random.key(0)
      x = jnp.ones((4, 2, 3, 5))
      sa_module = nn.MultiHeadDotProductAttention(
          num_heads=8,
          qkv_features=16,
          kernel_init=initializers.ones,
          bias_init=initializers.zeros,
          dropout_rate=0.1,
          deterministic=False,
      )
      rng1, rng2 = random.split(rng)
      rngs = {"params": rng1, "dropout": rng2}
      y, _ = sa_module.init_with_output(rngs, x)
      self.assertEqual(y.shape, x.shape)
  
imports: import jax
  import jax.numpy
  import numpy
  from absl.testing import absltest, parameterized
  from jax import lax, random
  from jax.nn import initializers
  from flax import errors, jax_utils
  from flax import linen
  from flax.core import pop
label_desc: Use image node_id 4 for calling the AttentionTest obj's underlying member method code with example usage: obj.test_multihead_self_attention_w_dropout() without return types