e6a0274621ef069da4659d6210c35468c24ee05b,pyprob/model.py,Model,forward,#Model#,26

Before Change

            self._address_dictionary = AddressDictionary(address_dict_file_name)

    def forward(self):
        raise NotImplementedError()

    def _trace_generator(self, trace_mode=TraceMode.PRIOR, prior_inflation=PriorInflation.DISABLED, inference_engine=InferenceEngine.IMPORTANCE_SAMPLING, inference_network=None, observe=None, metropolis_hastings_trace=None, likelihood_importance=1., importance_weighting=ImportanceWeighting.IW0, *args, **kwargs):
        state._init_traces(func=self.forward, trace_mode=trace_mode, prior_inflation=prior_inflation, inference_engine=inference_engine, inference_network=inference_network, observe=observe, metropolis_hastings_trace=metropolis_hastings_trace, address_dictionary=self._address_dictionary, likelihood_importance=likelihood_importance, importance_weighting=importance_weighting)
        while True:

After Change

            self._address_dictionary = AddressDictionary(address_dict_file_name)

    def forward(self):
        raise RuntimeError("Model instances must provide a forward method.")

    def _trace_generator(self, trace_mode=TraceMode.PRIOR, prior_inflation=PriorInflation.DISABLED, inference_engine=InferenceEngine.IMPORTANCE_SAMPLING, inference_network=None, observe=None, metropolis_hastings_trace=None, likelihood_importance=1., importance_weighting=ImportanceWeighting.IW0, *args, **kwargs):
        state._init_traces(func=self.forward, trace_mode=trace_mode, prior_inflation=prior_inflation, inference_engine=inference_engine, inference_network=inference_network, observe=observe, metropolis_hastings_trace=metropolis_hastings_trace, address_dictionary=self._address_dictionary, likelihood_importance=likelihood_importance, importance_weighting=importance_weighting)
        while True:

Instances