Fix merge

                linears.append(torch.nn.LayerNorm(int(dim * layer_structure[i+1])))

            # Add dropout except last layer

            if use_dropout and i < len(layer_structure) - 2:

            if use_dropout and i < len(layer_structure) - 3:

                linears.append(torch.nn.Dropout(p=0.3))

        self.linear = torch.nn.Sequential(*linears)

    filename = None

    name = None

    def __init__(self, name=None, enable_sizes=None, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False, activate_output=False)

    def __init__(self, name=None, enable_sizes=None, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False, activate_output=False):

        self.filename = None

        self.name = name

        self.layers = {}