code: def test_predict_equals_eval(self):
      d_model = 32
      seq_len = 10
      x_shape = (1, seq_len, d_model)
      inp = np.ones(x_shape).astype(np.float32)
  
      model_fn = functools.partial(
          tl.CausalAttention,
          d_feature=d_model,
          n_heads=4,
      )
  
      test_utils.test_eval_equals_predict(inp, model_fn)
  
imports: import functools
  from absl.testing import absltest
  import numpy
  from trax import shapes
  import trax.layers
  from trax.layers import test_utils
label_desc: Use image node_id 3 for calling the CausalAttentionTest obj's underlying member method code with example usage: obj.test_predict_equals_eval() without return types