[docs]def linear_activation_function(zhat):
return zhat
[docs]def linear_activation_constraint(net_block, net, layer_block, layer, add_constraint=True):
r"""
Linear activation constraint generator
Generates the constraints for the linear activation function.
.. math::
\begin{align*}
z_i &= \hat{z_i} && \forall i \in N
\end{align*}
"""
@layer_block.Constraint(layer.output_indexes)
def linear_activation(b, *output_index):
zhat_lb, zhat_ub = b.zhat[output_index].bounds
b.z[output_index].setlb(zhat_lb)
b.z[output_index].setub(zhat_ub)
return b.z[output_index] == b.zhat[output_index]