code: def _get_input_from_dtypes(dtypes, sparse=False):
      assert len(dtypes) >= 2
      x = np.ones((3, 1), dtype=dtypes[0])
      a = np.ones((3, 3), dtype=dtypes[1])
      if sparse:
          a = sp_matrix_to_sp_tensor(a)
      output = [x, a]
      if len(dtypes) > 2:
          e = np.ones((3 * 3, 1), dtype=dtypes[2])
          output.append(e)
      return output
  
file_path: spektral/tests/test_layers/convolutional/core.py
imports: import itertools
  import numpy
  import tensorflow
  from tensorflow.keras import Input, Model
  from spektral.utils.sparse import sp_matrix_to_sp_tensor
label_desc: Use image node_id 6 for calling a global function with example usage: _get_input_from_dtypes(dtypes, sparse) and returns: output