code: def test_mlp_attn():
      # x →→→ + →→→ tanh ⇒⇒⇒
      #       ↑ + →→→ tanh ⇒⇒⇒
      # y_1 →→  ↑ + →→→ tanh ⇒⇒⇒
      # y_2 →→→→  ↑ ⋱
      # y_3 →→→→→→    + →→→ tanh ⇒⇒⇒
      #               ↑
      # y_n →→→→→→→→→→
      x = mx.sym.Variable("x")
      tmp, z = [], []
      num_steps = 5
      in_arg_shapes = {
          "x": (
              num_steps,
              num_hidden,
          )
      }
      for i in range(num_steps):
          y = mx.sym.Variable(f"y_t{i}")
          tmp.append(
              mx.sym.broadcast_add(x, y, name=f"broadcast_add{i}")
          )
          z.append(
              mx.sym.Activation(
                  tmp[-1], act_type="tanh", name=f"activation{i}"
              )
          )
          in_arg_shapes[f"y_t{i}"] = (
              1,
              num_hidden,
          )
      z = mx.sym.Group(z)
      exec = z._simple_bind(mx.cpu(), "write", **in_arg_shapes)
  
imports: import mxnet
  import os
  import sys
  from common import with_environment
  from mxnet.test_utils import environment
label_desc: Use image node_id 2 for calling a global function with example usage: test_mlp_attn() without return types