Update Fitting.py

fix bug

Author: GeiduanLiu

source/train/Fitting.py

@@ -212,7 +212,7 @@ def build (self,
                 if ii >= 1 and self.n_neuron[ii] == self.n_neuron[ii-1] :
                     layer+= one_layer(layer, self.n_neuron[ii], name='layer_'+str(ii)+'_type_'+str(type_i)+suffix, reuse=reuse, seed = self.seed, use_timestep = self.resnet_dt, activation_fn = self.fitting_activation_fn, precision = self.fitting_precision, trainable = self.trainable[ii])
                 else :
-                    layer = one_layer(layer, self.n_neuron[ii], name='layer_'+str(ii)+'_type_'+str(type_i)+suffix, reuse=reuse, seed = self.seed, precision = self.fitting_precision, trainable = self.trainable[ii])
+                    layer = one_layer(layer, self.n_neuron[ii], name='layer_'+str(ii)+'_type_'+str(type_i)+suffix, reuse=reuse, seed = self.seed, activation_fn = self.fitting_activation_fn, precision = self.fitting_precision, trainable = self.trainable[ii])
             final_layer = one_layer(layer, 1, activation_fn = None, bavg = type_bias_ae, name='final_layer_type_'+str(type_i)+suffix, reuse=reuse, seed = self.seed, precision = self.fitting_precision, trainable = self.trainable[-1])
 
             if type_i < len(self.atom_ener) and self.atom_ener[type_i] is not None: