code: def test_autoregressive_decode_with_x64(self):
      with jax.experimental.enable_x64():
          x = jnp.ones((1, 4, 4))
          module = nnx.MultiHeadAttention(
              in_features=4,
              num_heads=2,
              qkv_features=4,
              decode=True,
              rngs=nnx.Rngs(0),
          )
          module.init_cache(x.shape, dtype=x.dtype)
          assert module.cached_key.shape == (1, 4, 2, 2)
          assert module.cached_value.shape == (1, 4, 2, 2)
  
          y1 = module(x[:, :1, :])
          y2 = module(x[:, 1:2, :])
  
          assert y1.shape == (1, 1, 4)
          assert y2.shape == (1, 1, 4)
  
imports: import jax, jax.numpy
  from flax.experimental import nnx
label_desc: Use image node_id 3 for calling the TestMultiHeadAttention obj's underlying member method code with example usage: obj.test_autoregressive_decode_with_x64() without return types