Hi, I tried running theory_exp.py . I get the following error when trying to to collapse the net to symbolic expression. It will be great help if you can help me resolve it.

Thank you,
Vishy.

================================================
Simplifying mode: to_symbolic for model_0

original_loss: 0.0010860880138352513
{'loss': 0.00270480802282691, 'DL': 2413.6943754734334, 'model_DL': 206.7324614109332, 'data_DL': 2206.9619140625}

ModuleAttributeError Traceback (most recent call last)
in
359
360 # To symbolic:
--> 361 loss_record = T.pred_nets.simplify(X_train, y_train, valid_onehot, "to_symbolic", simplify_criteria = simplify_criteria, validation_data = validation_pred_nets, is_Lagrangian = is_Lagrangian)
362 T.pred_nets.get_sympy_expression()
363 record_data(info_dict_single["data_record_simplification-model"], [T.get_losses(X_test, y_test, **kwargs), loss_record, T.pred_nets.model_dict, "after_to_symbolic_and_snapping"], ["all_losses_dict", "loss_record", "pred_nets_model_dict", "event"])

~\AI_physicist\pytorch_net\net.py in simplify(self, X, y, idx, mode, validation_data, isplot, **kwargs)
2548 print("The {0}'th model has no corresponding data to simplify with, skip.".format(i))
2549 else:
-> 2550 new_model, loss_dict["model_{0}".format(i)] = simplify(model, X_chosen, y_chosen, mode = mode, validation_data = validation_data_chosen, isplot = isplot, target_name = "model_{0}".format(i), **kwargs)
2551 setattr(self, "model_{0}".format(i), new_model)
2552 return loss_dict

~\AI_physicist\pytorch_net\net.py in simplify(model, X, y, mode, isplot, target_name, validation_data, **kwargs)
1317 # Calculate the loss again:
1318 if X is not None:
-> 1319 criteria_new, criteria_result_new = get_criteria_value(model, X, y, criteria_type = simplify_criteria[0], criterion = criterion, **kwargs)
1320 if verbose >= 1:
1321 print("Prev_loss: {0}, new loss: {1}\tprev_DL: {2:.9f}, new DL: {3:.9f}".format(

~\AI_physicist\pytorch_net\util.py in get_criteria_value(model, X, y, criteria_type, criterion, **kwargs)
412 if not isinstance(model, list):
413 model = [model]
--> 414 model_DL = np.sum([model_ele.DL for model_ele in model])
415 DL = data_DL + model_DL
416 result["DL"] = DL

~\AI_physicist\pytorch_net\util.py in (.0)
412 if not isinstance(model, list):
413 model = [model]
--> 414 model_DL = np.sum([model_ele.DL for model_ele in model])
415 DL = data_DL + model_DL
416 result["DL"] = DL

c:\users\vkswa\appdata\local\programs\python\python38\lib\site-packages\torch\nn\modules\module.py in getattr(self, name)
776 if name in modules:
777 return modules[name]
--> 778 raise ModuleAttributeError("'{}' object has no attribute '{}'".format(
779 type(self).name, name))
780

ModuleAttributeError: 'MLP' object has no attribute 'DL'