boundlab.diff.zono3.reciprocal_linearizer#
- boundlab.diff.zono3.reciprocal_linearizer(xs, ys, ds)[source]#
Differential 1/x linearizer using hexagon-Chebyshev β.
Assumes both x and y are strictly positive.
Examples
>>> import torch >>> import boundlab.expr as expr >>> from boundlab.diff.zono3.default.reciprocal import reciprocal_linearizer >>> x = expr.ConstVal(torch.tensor([2.0])) + 0.1 * expr.LpEpsilon([1]) >>> y = expr.ConstVal(torch.tensor([3.0])) + 0.1 * expr.LpEpsilon([1]) >>> d = x - y >>> dzb = reciprocal_linearizer([x], [y], [d]) >>> dzb.diff_bounds.bias.shape torch.Size([1])