code: def test_multihead_sow_attention_weights(self):
      rng = random.key(0)
      x = jnp.ones((4, 6, 5))
  
      class Model(nn.Module):
          attention_kwargs: dict
  
          @nn.compact
          def __call__(self, x, sow_weights=False):
              x = nn.MultiHeadDotProductAttention(
                  **self.attention_kwargs
              )(x, sow_weights=sow_weights)
              x = nn.MultiHeadDotProductAttention(
                  **self.attention_kwargs
              )(x)
              x = nn.MultiHeadDotProductAttention(
                  **self.attention_kwargs
              )(x, sow_weights=sow_weights)
              return x
  
      module = Model(
          dict(
              num_heads=8,
              qkv_features=16,
              kernel_init=initializers.ones,
              bias_init=initializers.zeros,
              deterministic=False,
          )
      )
      v = module.init(rng, x)
      _, intermediates = module.apply(
          v, x, mutable=["intermediates"], sow_weights=True
      )
      self.assertEqual(
          intermediates["intermediates"][
              "MultiHeadDotProductAttention_0"
          ]["attention_weights"][0].shape,
          (4, 8, 6, 6),
      )
      self.assertNotIn(
          "MultiHeadDotProductAttention_1",
          intermediates["intermediates"],
      )
      self.assertEqual(
          intermediates["intermediates"][
              "MultiHeadDotProductAttention_2"
          ]["attention_weights"][0].shape,
          (4, 8, 6, 6),
      )
      _, intermediates = module.apply(
          v, x, mutable=["intermediates"], sow_weights=False
      )
      self.assertNotIn("intermediates", intermediates)
  
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 12 for calling the AttentionTest obj's underlying member method code with example usage: obj.test_multihead_sow_attention_weights() and returns: x