Tensorflow, split tf.string SparseTensor to dense tensor list in dim 0

Does anyone know how to split a tf.string SparseTensor into a dense tensor list in dim 0, like so:

sparse_input -> slice_input_list

SparseTensor:

[["a", "b", "c"],
 ["d", "e"],
 ["f", "g", "h", "i"]]

# raw_dense_input = tf.constant(["a b c", "d e", "f g h i"], dtype=tf.string)
# sparse_input = tf.string_split(raw_dense_input)

      

        
        
        
      

    

To: dense list of tensors:

list(["a", "b", "c"], ["d", "e"], ["f", "g", "h", "i"])

# slice_input_list = (tf.constant(["a", "b", "c"], dtype=tf.string), 
# tf.constant(["d", "e"], dtype=tf.string), 
# tf.constant(["f", "g", "h", "i"], dtype=tf.string))

      

        
        
        
      

    

I tried the following method but couldn't, because num_split needs an int to do this and dense_shape is a dynamic form

slice_input_list = tf.sparse_split(sp_input=sparse_input, num_split=sparse_input.dense_shape[0], axis=0)