a41f2ff4c1437f0b61e76265c31bdec71be0556f,softlearning/algorithms/sac.py,SAC,get_diagnostics,#SAC#Any#Any#Any#Any#,358

Before Change


                 self.global_step),
                feed_dict))

        diagnostics = OrderedDict({
            "Q-avg": np.mean(Q_values),
            "Q-std": np.std(Q_values),
            "Q_loss": np.mean(Q_losses),
            "policy_loss": np.mean(policy_losses),
            "alpha": alpha,
        })

        policy_diagnostics = self._policy.get_diagnostics(
            batch["observations"])
        diagnostics.update({

After Change


        

        feed_dict = self._get_feed_dict(iteration, batch)
        diagnostics = self._session.run(self._diagnostics_ops, feed_dict)

        diagnostics.update(OrderedDict([
            (f"policy/{key}", value)
            for key, value in
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 5

Instances


Project Name: rail-berkeley/softlearning
Commit Name: a41f2ff4c1437f0b61e76265c31bdec71be0556f
Time: 2019-04-26
Author: hartikainen@berkeley.edu
File Name: softlearning/algorithms/sac.py
Class Name: SAC
Method Name: get_diagnostics


Project Name: rail-berkeley/softlearning
Commit Name: a41f2ff4c1437f0b61e76265c31bdec71be0556f
Time: 2019-04-26
Author: hartikainen@berkeley.edu
File Name: softlearning/algorithms/sql.py
Class Name: SQL
Method Name: get_diagnostics


Project Name: NifTK/NiftyNet
Commit Name: fa7ee697076d2061faeaf7ebf20cdcd5da352eae
Time: 2018-10-30
Author: elias.tappeiner@umit.at
File Name: tests/application_driver_test.py
Class Name: ApplicationDriverTest
Method Name: test_multi_device_multi_optimiser_gradients