code: def logical_and(self, other: torch.Tensor):
      assert not isinstance(other, SparseCS)
      out = torch.logical_and(self._mat, other)
      return type(self)._wrap(out)
  
imports: import torch
  from xformers.ops import masked_matmul
  from xformers.sparse import SparseCSRTensor
  from xformers.sparse.utils import _csr_to_coo, _dense_to_sparse
label_desc: Use image node_id 22 for calling the SparseCS obj's underlying member method code with example usage: obj.logical_and(other) and returns: type