code: def tensor(data, dtype=None):
      if is_sparse(data):
          return (
              data.astype(dtype)
              if dtype is not None and dtype != data.dtype
              else data
          )
      elif isinstance(data, np.ndarray):
          return sparse.COO.from_numpy(data.astype(dtype, copy=False))
      else:
          return sparse.COO.from_numpy(np.array(data, dtype=dtype))
  
imports: from copy import copy
  from packaging.version import Version
  import numpy
  import scipy
  import scipy.linalg
  import scipy.sparse.linalg
  import sparse
  from .None import register_sparse_backend
  from ....backend.core import Backend
label_desc: Use image node_id 2 for calling the NumpySparseBackend obj's underlying member method code with example usage: obj.tensor(data, dtype) and returns: unknown, sparse, sparse