@@ -7,9 +7,9 @@ In Circuit Training, *proxy cost* is the weighted sum of wirelength, density, an
Where <b>W<sub>wirelength</sub></b>, <b>W<sub>density</sub></b> and <b>W<sub>congestion</sub></b> are the weights. From the [Circuit Training repo](https://github.com/google-research/circuit_training/blob/9e7097fa0c2a82030f43b298259941fc8ca6b7ae/circuit_training/environment/environment.py#L61-L65), we found that <b>W<sub>wirelength</sub> = 1</b>, <b>W<sub>density</sub> = 1</b>, and <b>W<sub>congestion</sub> = 0.5</b>. From communication with Google engineers, we learned that in their internal flow, they use <b>W<sub>wirelength</sub> = 1</b>, <b>W<sub>density</sub> = 0.5</b>, and <b>W<sub>congestion</sub> = 0.5</b>.
Circuit Training repo provides the plc_wrapper_main binary to compute these cost functions. There is no available detailed description, or open-source implementation, of these cost functions. With feedback and confirmations from Google engineers, we have implemented all three cost functions; the source code is available [here](../../CodeElements/Plc_client/plc_client_os.py). In the following section we provide a detailed description of the implementation of these cost functions.
Circuit Training repo provides the plc_wrapper_main binary to compute these cost functions. There is no available detailed description, or open-source implementation, of these cost functions. With feedback and confirmations from Google engineers, we have implemented all three cost functions; the source code is available [here](../../CodeElements/Plc_client/plc_client_os.py). In the following, we provide a detailed description of the implementation of these cost functions.
