all the input array dimensions for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has size 3 and the array at index 1 has size 20

[attilaimre99]

Hi!

I've been exploring some self-made datasets and I've managed to get the project up'n running fine. The training runs well except sometimes this error happens:

F1 Score: 0.764872521246459
Accuracy: 0.7331189710610932
MCC: 0.48423538939278077
Precision: 0.6835443037974683
Recall: 0.8681672025723473
ROC AUC: 0.7331189710610932
Epoch 215 | Test Loss 0.5649742603302002
Early stopping due to no improvement.
  0%|                                                                        | 0/100 [14:09<?, ?it/s]
Traceback (most recent call last):
  File "train.py", line 191, in <module>
    results = tuner.minimize()
  File "/opt/conda/lib/python3.7/site-packages/mango/tuner.py", line 153, in minimize
    return self.run()
  File "/opt/conda/lib/python3.7/site-packages/mango/tuner.py", line 140, in run
    self.results = self.runBayesianOptimizer()
  File "/opt/conda/lib/python3.7/site-packages/mango/tuner.py", line 263, in runBayesianOptimizer
    X_sample = np.vstack((X_sample, X_next_batch))
  File "<__array_function__ internals>", line 6, in vstack
  File "/opt/conda/lib/python3.7/site-packages/numpy/core/shape_base.py", line 282, in vstack
    return _nx.concatenate(arrs, 0)
  File "<__array_function__ internals>", line 6, in concatenate
ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has size 3 and the array at index 1 has size 20

As you can see this happens at the 0th epoch.

[rajgupta-ml]

@attilaimre99 Hey did you get the solution for this array

[deepfindr]

Hi :) this usually occurs when your array dimensions don't match.

Double-check if all graphs have the same dimensions for x and edge_attr. Could be that some of your samples are invalid?