def _add(self, other, lhs_negative, rhs_negative):
if cupy.isscalar(other):
if other == 0:
if lhs_negative:
return -self
else:
return self.copy()
else:
raise NotImplementedError(
'adding a nonzero scalar to a sparse matrix is not '
'supported')
elif base.isspmatrix(other):
alpha = -1 if lhs_negative else 1
beta = -1 if rhs_negative else 1
return self._add_sparse(other, alpha, beta)
elif base.isdense(other):
if lhs_negative:
if rhs_negative:
return -self.todense() - other
else:
return other - self.todense()
else:
if rhs_negative:
return self.todense() - other
else:
return self.todense() + other
else:
return NotImplemented
def __mul__(self, other):
if cupy.isscalar(other):
self.sum_duplicates()
return self._with_data(self.data * other)
elif isspmatrix_csr(other):
self.sum_duplicates()
other.sum_duplicates()
return cusparse.csrgemm(self, other)
elif csc.isspmatrix_csc(other):
self.sum_duplicates()
other.sum_duplicates()
return cusparse.csrgemm(self, other.T, transb=True)
elif base.isspmatrix(other):
return self * other.tocsr()
elif base.isdense(other):
if other.ndim == 0:
self.sum_duplicates()
return self._with_data(self.data * other)
elif other.ndim == 1:
self.sum_duplicates()
return cusparse.csrmv(self, cupy.asfortranarray(other))
elif other.ndim == 2:
self.sum_duplicates()
return cusparse.csrmm2(self, cupy.asfortranarray(other))
else:
raise ValueError('could not interpret dimensions')
else:
return NotImplemented