code: def split_sparse_tensor_indices(tf_sparse_tensor, n_dimensions):
      """
      Separates the each dimension of a sparse tensor's indices into independent tensors
      :param tf_sparse_tensor:
      :param n_dimensions:
      :return:
      """
      tf_transposed_indices = tf.transpose(tf_sparse_tensor.indices)
      return (tf_transposed_indices[i] for i in range(n_dimensions))
  
file_path: tensorrec/tensorrec/recommendation_graphs.py
imports: import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: split_sparse_tensor_indices(tf_sparse_tensor, n_dimensions) and returns: unknown