code: def test_autoregressive_decode_with_x64(self):
      with jax.experimental.enable_x64():
          x = jnp.ones((1, 4, 4))
          module = nn.MultiHeadDotProductAttention(
              num_heads=2, qkv_features=4, decode=True
          )
  
          rng = random.PRNGKey(0)
          variables = module.init(rng, x, x, x)
          params, cache = variables["params"], variables["cache"]
          y1, updates = module.apply(
              {"params": params, "cache": cache},
              x[:, :1, :],
              mutable=["cache"],
          )
          cache = updates["cache"]
          y2, updates = module.apply(
              {"params": params, "cache": cache},
              x[:, 1:2, :],
              mutable=["cache"],
          )
          assert y1.shape == (1, 1, 4)
          assert y2.shape == (1, 1, 4)
  
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 13 for calling the AttentionTest obj's underlying member method code with example usage: obj.test_autoregressive_decode_with_x64() without return types