constructor call. For example:
  >>> torch.sparse_csr_tensor([0, 1, 3], [0, 1], [1, 2], check_invariants=True)
  Traceback (most recent call last):
    File "<stdin>", line 1, in <module>
  RuntimeError: `crow_indices[..., -1] == nnz` is not satisfied.

static disable()
  Disable sparse tensor invariants checking in sparse tensor
  constructors.

  See "torch.sparse.check_sparse_tensor_invariants.enable()" for
  more information.

static enable()
  Enable sparse tensor invariants checking in sparse tensor
  constructors.

  Note:

    By default, the sparse tensor invariants checks are disabled.
    Use "torch.sparse.check_sparse_tensor_invariants.is_enabled()"
    to retrieve the current state of sparse tensor invariants
    checking.

  Note:

    The sparse tensor invariants check flag is effective to all
    sparse tensor constructors, both in Python and ATen.The flag
