74c7682f94cef60560f16bba95a85d36bce68993,pyprob/nn.py,InferenceNetworkLSTM,loss,#InferenceNetworkLSTM#Any#Any#Any#,1014

Before Change

                proposal_distribution = self._proposal_layers[current_address](proposal_input, current_samples)
                l = proposal_distribution.log_prob(current_samples_values)
                if util.has_nan_or_inf(l):
                    print("Warning: NaN, -Inf, or Inf encountered in proposal log_prob.")
                    print("proposal_distribution", proposal_distribution)
                    print("current_samples_values", current_samples_values)
                    print("log_prob", l)
                    print("Fixing -Inf")

After Change

                proposal_distribution = self._proposal_layers[current_address](proposal_input, current_samples)
                l = proposal_distribution.log_prob(current_samples_values)
                if util.has_nan_or_inf(l):
                    print(colored("Warning: NaN, -Inf, or Inf encountered in proposal log_prob.", "red", attrs=["bold"]))
                    print("proposal_distribution", proposal_distribution)
                    print("current_samples_values", current_samples_values)
                    print("log_prob", l)
                    print("Fixing -Inf")

Instances