49b95ca42dc6c70e33fa32a7ee183696e4033fe2,pyprob/nn/inference_network_lstm.py,InferenceNetworkLSTM,_loss,#InferenceNetworkLSTM#Any#,132

Before Change

                // print("importance_weights    ", importance_weights)
                // print()
                if util.has_nan_or_inf(log_prob):
                    print(colored("Warning: NaN, -Inf, or Inf encountered in proposal log_prob.", "red", attrs=["bold"]))
                    print("proposal_distribution", proposal_distribution)
                    print("values", values)
                    print("log_prob", log_prob)
                    print("Fixing -Inf")

After Change

                // print("importance_weights    ", importance_weights)
                // print()
                if util.has_nan_or_inf(log_prob):
                    warnings.warn("NaN, -Inf, or Inf encountered in proposal log_prob.")
                    print("proposal_distribution", proposal_distribution)
                    print("values", values)
                    print("log_prob", log_prob)
                    print("Fixing -Inf")

Instances