Function _sparse_meta_data

tensorflow/python/training/input.py:511–520

(t, storing_op, map_op)

  maybe_shared_map_ops = shared_map_ops or [None] * len(tensor_list)

  def _sparse_meta_data(t, storing_op, map_op):
    if not isinstance(t, sparse_tensor.SparseTensor):
      return _SparseMetaData(False, None, None)
    rank = t.dense_shape.shape.with_rank(1).dims[0]
    if enqueue_many:
      rank -= 1
    # If a shared map_op was provided, use that. Otherwise use the name of
    # the operation used to store the SparseTensor.
    return _SparseMetaData(
        sparse=True, map_op=map_op or storing_op, rank=rank)

  def _maybe_store(t, shared_map_op):
    """Store Sparse tensor, if necessary."""