A little question about demo

[possible7]

Dear @lululxvi,
Thanks for giving the demo for us. It's very useful for my research. However, when I run the demo "Volterra_IDE.py", the code can't work. If I change the model compile (L-BFGS to adam), it can get the answer. I want to ask is there any way to solve it？
In addition, I want to know which equation is solved by the demo" ide.py".

Happy to hear about your opinion and any suggestions!

Best,
Zan Yu

[lululxvi]

However, when I run the demo "Volterra_IDE.py", the code can't work. If I change the model compile (L-BFGS to adam), it can get the answer. I want to ask is there any way to solve it？

What is the error?

[possible7]

The error is as follows：

InvalidArgumentError Traceback (most recent call last)
File d:\anaconda3\envs\test\lib\site-packages\tensorflow\python\client\session.py:1378, in BaseSession._do_call(self, fn, *args)
1377 try:
-> 1378 return fn(*args)
1379 except errors.OpError as e:

File d:\anaconda3\envs\test\lib\site-packages\tensorflow\python\client\session.py:1361, in BaseSession._do_run.._run_fn(feed_dict, fetch_list, target_list, options, run_metadata)
1360 self._extend_graph()
-> 1361 return self._call_tf_sessionrun(options, feed_dict, fetch_list,
1362 target_list, run_metadata)

File d:\anaconda3\envs\test\lib\site-packages\tensorflow\python\client\session.py:1454, in BaseSession._call_tf_sessionrun(self, options, feed_dict, fetch_list, target_list, run_metadata)
1452 def _call_tf_sessionrun(self, options, feed_dict, fetch_list, target_list,
1453 run_metadata):
-> 1454 return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
1455 fetch_list, target_list,
1456 run_metadata)

InvalidArgumentError: Matrix size-incompatible: In[0]: [12,252], In[1]: [253,1]
[[{{node MatMul_1}}]]

During handling of the above exception, another exception occurred:

InvalidArgumentError Traceback (most recent call last)
...
File "d:\anaconda3\envs\test\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 795, in _apply_op_helper
op = g._create_op_internal(op_type_name, inputs, dtypes=None,
File "d:\anaconda3\envs\test\lib\site-packages\tensorflow\python\framework\ops.py", line 3814, in _create_op_internal
ret = Operation(
Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings...

[possible7]

In addition, when I change the version of deepxde to 1.7.0, I can get similar results to the paper.

[lululxvi]

The error information is not complete, but it seems a problem of Tensorflow.

[possible7]

Is there any solution, or is it necessary to change a backend?

[lululxvi]

I don't know the solution given the information you give. But you can try other backends.