code: def test_multihead_self_attention_explicit_dropout(self):
      class Foo(nn.Module):
          attention_kwargs: dict
  
          @nn.compact
          def __call__(self, x, dropout_rng=None):
              a = nn.MultiHeadDotProductAttention(
                  **self.attention_kwargs
              )(x, x, dropout_rng=dropout_rng)
              b = nn.MultiHeadDotProductAttention(
                  **self.attention_kwargs
              )(x, x, dropout_rng=dropout_rng)
              return a, b
  
      module = Foo(
          dict(
              num_heads=8,
              qkv_features=16,
              kernel_init=initializers.ones,
              bias_init=initializers.zeros,
              dropout_rate=0.5,
              deterministic=False,
          )
      )
      rng1, rng2, rng3, rng4 = random.split(random.key(0), 4)
      x = jnp.ones((4, 2, 3, 5))
      rngs = {"params": rng1, "dropout": rng2}
      v = module.init(rngs, x)
      a, b = module.apply(v, x, rngs=rngs)
      c, d = module.apply(v, x, rngs={"dropout": rng2})
      e, f = module.apply(v, x, rngs={"dropout": rng3})
      self.assertTrue(not (a == b).all())
      self.assertTrue((a == c).all())
      self.assertTrue((b == d).all())
      self.assertTrue(not (a == e).all())
      self.assertTrue(not (b == f).all())
      a, b = module.apply(v, x, rngs=rngs, dropout_rng=rng4)
      self.assertTrue((a == b).all())
      a, b = module.apply(v, x, dropout_rng=rng4)
      self.assertTrue((a == b).all())
      self.assertTrue(a.shape == b.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 5 for calling the AttentionTest obj's underlying member method code with example usage: obj.test_multihead_self_attention_explicit_dropout() and returns: a,  b