242632ef7bbc1d44ccc0858d6a7b868faa6a80b5,snntoolbox/target_simulators/INI_target_sim.py,SNN,init_log_vars,#SNN#,552

Before Change

        if "spikecounts_n_b_l_t" in settings["log_vars"] or "spikecounts" in \
                settings["plot_vars"]:
            self.spikecounts_n_b_l_t = []
            for layer in self.snn.layers:
                if not hasattr(layer, "spikecounts"):
                    continue
                shape = list(layer.output_shape) + [num_timesteps]
                self.spikecounts_n_b_l_t.append((np.zeros(shape, "float32"),
                                                 layer.name))

        if "mem_n_b_l_t" in settings["log_vars"]:
            self.mem_n_b_l_t = []
            for layer in self.snn.layers:
                if not hasattr(layer, "mem"):

After Change

            self.input_b_l_t = np.empty(
                list(self.snn.input_shape) + [num_timesteps], "int32")

        if any({"spiketrains", "spikerates", "correlation",
                "hist_spikerates_activations"} & settings["plot_vars"]) \
                or "spiketrains_n_b_l_t" in settings["log_vars"]:
            self.spiketrains_n_b_l_t = []
            for layer in self.snn.layers:

Instances