Source code for cvxpy.atoms.affine.transpose

Copyright 2013 Steven Diamond

This file is part of CVXPY.

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from cvxpy.atoms.affine.affine_atom import AffAtom
import cvxpy.lin_ops.lin_utils as lu
import numpy as np

[docs]class transpose(AffAtom): """Transpose an expression. """ def __init__(self, expr, axes=None): self.axes = axes super(AffAtom, self).__init__(expr) # The string representation of the atom. def name(self): return "%s.T" % self.args[0] # Returns the transpose of the given value. @AffAtom.numpy_numeric def numeric(self, values): return np.transpose(values[0], axes=self.axes) def is_symmetric(self): """Is the expression symmetric? """ return self.args[0].is_symmetric() def is_hermitian(self): """Is the expression Hermitian? """ return self.args[0].is_hermitian() def shape_from_args(self): """Returns the shape of the transpose expression. """ return self.args[0].shape[::-1] def get_data(self): """ Returns the axes for transposition. """ return [self.axes] @staticmethod def graph_implementation(arg_objs, shape, data=None): """Create a new variable equal to the argument transposed. Parameters ---------- arg_objs : list LinExpr 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) """ # TODO(akshakya): This will need to be updated when we add support # for >2D ararys. return (lu.transpose(arg_objs[0]), [])