code: def create_relu_softmax(width, dropout, nI, nO):
      return chain(
          clone(Relu(nO=width, dropout=dropout), 2), Softmax(10, width)
      )
  
file_path: thinc/thinc/tests/layers/test_mnist.py
imports: import pytest
  from thinc.api import Adam, PyTorchWrapper, Relu, Softmax, TensorFlowWrapper, chain, clone, get_current_ops
  from thinc.compat import has_tensorflow, has_torch
label_desc: Use image node_id 2 for calling a global function with example usage: create_relu_softmax(width, dropout, nI, nO) and returns: chain