def graph_implementation(arg_objs, size, data=None):
"""Kronecker product of two matrices.
Parameters
----------
arg_objs : list
LinOp for each argument.
size : tuple
The size of the resulting expression.
data :
Additional data required by the atom.
Returns
-------
tuple
(LinOp for objective, list of constraints)
"""
return (lu.kron(arg_objs[0], arg_objs[1], size), [])
def graph_implementation(arg_objs, size, data=None):
"""Kronecker product of two matrices.
Parameters
----------
arg_objs : list
LinOp for each argument.
size : tuple
The size of the resulting expression.
data :
Additional data required by the atom.
Returns
-------
tuple
(LinOp for objective, list of constraints)
"""
return (lu.kron(arg_objs[0], arg_objs[1], size), [])
def graph_implementation(self,
arg_objs,
shape: Tuple[int, ...],
data=None) -> Tuple[lo.LinOp, List[Constraint]]:
"""Kronecker product of two matrices.
Parameters
----------
arg_objs : list
LinOp for each argument.
shape : tuple
The shape of the resulting expression.
data :
Additional data required by the atom.
Returns
-------
tuple
(LinOp for objective, list of constraints)
"""
return (lu.kron(arg_objs[0], arg_objs[1], shape), [])