Hasarindu Perera
Joined November 5, 2024
Karma 11
Posted by hasarinduperera •
Hey, sorry to alarm you guys. I think the issue was caused by the images I uploaded.
One returned:
RelayNetwork: No data returned for operation 'UserEditFormMutation'. Got error(s): Format error decoding PNG: Invalid PNG signature.Another returned:
RelayNetwork: No data returned for operation 'UserEditFormMutation'. Got error(s): Format error decoding JPEG: Error parsing image. Illegal start bytes: 8950.It looks like one of the images had its extension changed, and the other had a file signature issue, which probably caused the errors.
Sorry again for the confusion and for wasting your time.
Posted by hasarinduperera •
Hi @antoine, I tried twice (704.8 kB and 17.6 kB) but still getting the same error.
Posted by hasarinduperera •
What is your Python version?
Try using Python 3.10. If changing your Python version is too difficult, install Conda and create an environment with Python 3.10.
Try using Python 3.10. If changing your Python version is too difficult, install Conda and create an environment with Python 3.10.
Posted by hasarinduperera •
Tried editing the same notebook for training, and submitting trough
aqora test. Getting the same error.Posted by hasarinduperera •
No, actually I just tried submitting the dummy model. Now I am trying to train a model but could not because I am getting the above error. Do I need to train the model in the same notebook, and test it out using
aqora test?Posted by hasarinduperera •
Sure, I will. Thanks!
Posted by hasarinduperera •
Please run your submission using aqora test for now.
Got it, thanks! So basically what I have to do is, experiment with the model and run
aqora test right?Posted by hasarinduperera •
PS: after the code change, notebook worked fine, I am getting above error, when running
aqora test.To clarify, in initial stage,
aqora test worked, but notebook did not, now after my code change, notebook does work, aqora test is not.Maybe I am doing something wrong or foolish, please forgive me if that's the case.
Posted by hasarinduperera •
Are you running the notebook with aqora test as expected? Or do you run it using Visual Studio Code?
aqora test worked fine on terminal. But then I tried to follow the notebook (running cell by cell). That's when I got the error.Can you quote the full error trace in the topic please?
Model output: [[1 1 2 1 2]]
Model output: [[1 1 2 1 2]]
[1 FAIL] Evaluation error
Model output: [[1 1 2 1 2]]
Traceback (most recent call last):
File "/home/personal/Documents/Personal/Documents/aqora/quantum-signals-lob/.venv/lib/python3.10/site-packages/use_case/run.py", line 32, in score
return compute_score(Tensor(solution), Tensor(original_input[1]))
File "/home/personal/Documents/Personal/Documents/aqora/quantum-signals-lob/.venv/lib/python3.10/site-packages/use_case/metrics.py", line 54, in compute_score
scores = [
File "/home/personal/Documents/Personal/Documents/aqora/quantum-signals-lob/.venv/lib/python3.10/site-packages/use_case/metrics.py", line 55, in <listcomp>
compute_metrics(truth[:, h], prediction[:, h])[cst.Metrics.F1.value]
File "/home/personal/Documents/Personal/Documents/aqora/quantum-signals-lob/.venv/lib/python3.10/site-packages/use_case/metrics.py", line 19, in compute_metrics
cr = classification_report(truth, prediction, output_dict=True, zero_division=0)
File "/home/personal/Documents/Personal/Documents/aqora/quantum-signals-lob/.venv/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
return func(*args, **kwargs)
File "/home/personal/Documents/Personal/Documents/aqora/quantum-signals-lob/.venv/lib/python3.10/site-packages/sklearn/metrics/_classification.py", line 2626, in classification_report
y_type, y_true, y_pred = _check_targets(y_true, y_pred)
File "/home/personal/Documents/Personal/Documents/aqora/quantum-signals-lob/.venv/lib/python3.10/site-packages/sklearn/metrics/_classification.py", line 103, in _check_targets
check_consistent_length(y_true, y_pred)
File "/home/personal/Documents/Personal/Documents/aqora/quantum-signals-lob/.venv/lib/python3.10/site-packages/sklearn/utils/validation.py", line 457, in check_consistent_length
raise ValueError(
ValueError: Found input variables with inconsistent numbers of samples: [1, 32]
[2 FAIL] Evaluation error
Failed to run pipeline ERROR Oh no! Failed to run pipeline
To try and fix this, you can:
- Check the above error and try againPosted by hasarinduperera • (edited)
Hi @antoine
Thank you for your reply, I truly appreciate your help.
When I click on "Create a .venv" (step 9), my Codespace does not show an option to select an existing virtual environment. This might just be an issue on my end, so I'll try it on a fresh Codespace to see if that resolves the problem.
Regards,
Hasarindu
Hasarindu
PS: I tried it on a fresh Codespace, but it still did not show the existing .venv option.