πŸš€ Code Submission Round Launched πŸš€

Hi @LYZD-fintech,

All the successful submissions would be considered for the final ranking in this challenge.

Best,
Shivam

Thanks, I have no problem. :heart_hands:

@shivam @mohanty I’m getting CUDA out of memory error when loading my model on pytorch, even though run.py works on my own T4 and V100. I tested it inside the same container that the Dockerfile builds. I don’t know what else do to at this point.
Hash: af5e3e9d5a515b6917e2d39340da51e23b23d878

@mohanty @shivam
we meet the problem that the environment isn’t configured well for 2 hours
Could you take a look at it
submit hash: 00d6a5fb492d8648d5cc1724ce7efcd79b3f532d
lQLPJxZ91lKnaAHNAdfNAfSwrKF_4P2RD0cCzzzrdIAnAA_500_471

@shivam
i have no idea for this case error log,can’t see any error,but failed

AIcrowd Submission Received #193832 - initial-15

submission_hash : 77fd92f1686f89bb2a0a4a09ab2cb83cce5f3e0c.
If this issue is not updated within a reasonable amount of time, please send email to help@aicrowd.com.

Hi @wac81, it has failed due to timeout.

Could you also check my submission? I believe there is an unusual behavior of some hosting services. The code passed the public test set and soon failed for the private set. I also observed other participants’ submissions near the same time and all of them failed.
submission_hash : 540adaa2989b1c62dffc48659400db2cc0a13989.

@shivam

@shivam
itβ€˜s timeout for public test too?

have 2 process:

  1. data process spend 160s
    οΏ½οΏ½β–ˆβ–ˆβ–ˆβ–‹ | 240263/277044 [02:38<00:26, 1370.87it/s]
  2. predict spend 27m
    [Predict] 2/271 […] - ETA: 27:15

i have no idea for timeout.

@wac81 : Yes, the timeouts apply to both the Public and Private Test Phases. Also, we have increased the timeout to 120 mins - please refer to this post : πŸ“† Deadline Extension to 20th July && ⏳ Increased Timeout of 120 mins

Best,
Mohanty

@wufanyou : The evaluation failed due to a timeout. The increased timeout of 120 minutes should fix this issue. We have re-queued your submission for re-evaluation.

Best,
Mohanty

Hi all, in case you feel your submission is running quite slow online v/s your local setup.
It might be a good idea to verify torch or relevant packages are installed properly.

Here is an example for torch:

In case you are confused how to verify for your package, please let us know and we can release relevant FAQs.

Hi @shivam and @mohanty. To debug this, I did the following: I’m printing nvidia-smi on my prediction_setup method, right before loading my model and it seems it gets executed 2 times, and that’s why I’m getting this CUDA out of memory error.
The first time it loads correctly but it can’t load a second time without releasing GPU’s RAM.
Any idea why it’s loading 2x?

Hi @vitor_amancio_jerony, thanks for the logs.

We have identified the bug during the evaluation phase which caused the models to load twice, and is now fixed.
We have also restarted your latest submission and monitoring if any similar error happens to it.

1 Like

i passed all process for task2

but i am not see my result on leaderboards, any issues?

here is submission:

AIcrowd Submission Received #194023 - initial-19

submission_hash : 2cbf126dab5610c3c6b108cfb7e40028e59e5106.

Hi @wac81,

We do see this submission on the leaderboard of Task-2. Maybe you were checking the leaderboard of a different task ?

Best,
Mohanty

yeah,this is my second submission which is show up, and i can’t first submission.
but it’s ok.

Hi @wac81, the leaderboard contains the best submission from each participants (not all the submissions). I assume that may have caused the confusion.

You can see all your submission here (they are merged for all the tasks in this challenge, but you can identify them using relevant repository name):
https://www.aicrowd.com/challenges/esci-challenge-for-improving-product-search/submissions?my_submissions=true

Best,
Shivam

Hi, @shivam and @mohanty
my last two submissions failed and the debug logs disappeared (i.e. link to the log is not displayed on the page), but debug logs before them are available. Could you take a look at it?

submission_hash : [bbf64209f663e4dac1dbddde443a9a7495a836f1 ]( Files Β· bbf64209f663e4dac1dbddde443a9a7495a836f1 Β· caimanjing / task_1_query-product_ranking_code_starter_kit Β· GitLab (aicrowd.com)).

submission_hash : [efe0e19058c344b2b29e76387fd51497233d89d7 ]( Files Β· efe0e19058c344b2b29e76387fd51497233d89d7 Β· caimanjing / task_1_query-product_ranking_code_starter_kit Β· GitLab (aicrowd.com)).

@caimanjing : You can find the error logs on the individual issues now.

Hi, @mohanty @shivam

I just made a submission, but I don’t know why it has the same code as the last one, and their submission hashs are completely the same. Could you please help me cancel the second submission with this hash? I don’t want it to take up my submission chance. The name is #194735 - 7.16.2.

submission_hash : 75fcd642d1b8659786cc66b7a77fa621d1fda1a0.