ValueError when running DR_system.py

[reactingflow]

Hi Developers,

I encountered an issue while running the code that generates data. Here are the details:

Using backend: pytorch
Other supported backends: tensorflow.compat.v1, tensorflow, jax, paddle.
paddle supports more examples now and is recommended.
Generating operator data...
Traceback (most recent call last):
File "/home/wu/mionet-main/data/DR_system.py", line 134, in
main()
File "/home/wu/mionet-main/data/DR_system.py", line 130, in main
run(space, m, k, T, Nt, num_train, num_test)
File "/home/wu/mionet-main/data/DR_system.py", line 117, in run
np.savez_compressed("DR_train.npz", X_train=X_train, y_train=y_train)
File "/home/wu/.local/lib/python3.10/site-packages/numpy/lib/npyio.py", line 710, in savez_compressed
_savez(file, args, kwds, True)
File "/home/wu/.local/lib/python3.10/site-packages/numpy/lib/npyio.py", line 740, in _savez
val = np.asanyarray(val)
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (3,) + inhomogeneous part.

Could you please provide guidance on how to resolve this issue? If additional information is required, please let me know.

Best regards,

[lululxvi]

Could be due to Numpy version. You can try older versions.

[or-anger]

Hi, you may try to construct the data using np.array(..., dtype=object) first.

[marryus]

Hey, you can save all the components individually, then it works:
np.savez_compressed("DR_train.npz", sensor_values1=X_train[0], sensor_values2=X_train[1], x=X_train[2], y_train=y_train ) np.savez_compressed("DR_test.npz", sensor_values1=X_test[0], sensor_values2=X_test[1], x=X_test[2], y_test=y_test )