def graph_implementation(arg_objs, size, data=None):
"""Multiply the expressions elementwise.
Parameters
----------
arg_objs : list
LinExpr 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)
"""
# One of the arguments is a scalar, so we can use normal multiplication.
if arg_objs[0].size != arg_objs[1].size:
return (lu.mul_expr(arg_objs[0], arg_objs[1], size), [])
else:
return (lu.mul_elemwise(arg_objs[0], arg_objs[1]), [])
def graph_implementation(arg_objs, size, data=None):
"""Multiply the expressions elementwise.
Parameters
----------
arg_objs : list
LinExpr 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)
"""
# One of the arguments is a scalar, so we can use normal multiplication.
if arg_objs[0].size != arg_objs[1].size:
return (lu.mul_expr(arg_objs[0], arg_objs[1], size), [])
else:
return (lu.mul_elemwise(arg_objs[0], arg_objs[1]), [])
def graph_implementation(arg_objs, size, data=None):
"""Multiply the expressions elementwise.
Parameters
----------
arg_objs : list
LinExpr 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)
"""
# Promote arguments if necessary.
for i, arg in enumerate(arg_objs):
if arg.size != size:
arg_objs[i] = lu.promote(arg, size)
return (lu.mul_elemwise(arg_objs[0], arg_objs[1]), [])
def graph_implementation(arg_objs, size, data=None):
"""Multiply the expressions elementwise.
Parameters
----------
arg_objs : list
LinExpr 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)
"""
# Promote arguments if necessary.
for i, arg in enumerate(arg_objs):
if arg.size != size:
arg_objs[i] = lu.promote(arg, size)
return (lu.mul_elemwise(arg_objs[0], arg_objs[1]), [])