Dear organizers, We submitted two dockers on the 24th for the PE task with the IDs : 9777462 and 9777463. I noticed today that both of them had INVALID as the status and error message seems to be container error. Both submissions show a null validation result, but no container logs or failure reason are visible. Could you please clarify whether null indicates a timeout, OOM, startup error, missing output, registry issue, or another validation failure? Could you provide the Docker exit code and captured stdout/stderr? The images preserve the official CUDA 11.8 base, /input and /output contract, entrypoint, and pose_predictions.txt format, but add bundled inference dependencies and a local checkpoint. Are modified Dockerfiles and additional offline model dependencies allowed, or must the provided Dockerfile be retained exactly? Best Danush

Created by Danush danny_27
Hi John, thanks for the follow-up. I submitted the docker again and it worked well. Best Danush
Hi Danush, We re-ran your image and saw this error: ``` pulling docker.synapse.org/syn74277461/nct_tso@sha256:7181e111f65badb6f64ad20044064abc6ad47392ca95d26895cc50d08fa71c2b ... docker.synapse.org/syn74277461/nct_tso@sha256:7181e111f65badb6f64ad20044064abc6ad47392ca95d26895cc50d08fa71c2b: Pulling from syn74277461/nct_tso Digest: sha256:7181e111f65badb6f64ad20044064abc6ad47392ca95d26895cc50d08fa71c2b Status: Image is up to date for docker.synapse.org/syn74277461/nct_tso@sha256:7181e111f65badb6f64ad20044064abc6ad47392ca95d26895cc50d08fa71c2b docker.synapse.org/syn74277461/nct_tso@sha256:7181e111f65badb6f64ad20044064abc6ad47392ca95d26895cc50d08fa71c2b === running as non-root (live setup) === RUN: timeout --kill-after=30s 660 docker run --rm --gpus all --network=none --memory=20g --pids-limit=512 --user 1000:1000 --tmpfs /tmp:rw,size=2g -v /srv/imedpe/test:/input:ro -v /tmp/repro_out_29v4rljd:/output docker.synapse.org/syn74277461/nct_tso@sha256:7181e111f65badb6f64ad20044064abc6ad47392ca95d26895cc50d08fa71c2b ================================================================ Method 4A1 loftr2a: selected 6/6 sequences in 2 sessions. Traceback (most recent call last): File "/app/predict.py", line 487, in main() File "/app/predict.py", line 277, in main loftr = EfficientLoFTRMatcher( File "/app/src/imcpe/loftr_mv/loftr_wrapper.py", line 138, in __init__ checkpoint_payload = torch.load(self.checkpoint, **load_kwargs) File "/usr/local/lib/python3.10/dist-packages/torch/serialization.py", line 986, in load with _open_file_like(f, 'rb') as opened_file: File "/usr/local/lib/python3.10/dist-packages/torch/serialization.py", line 435, in _open_file_like return _open_file(name_or_buffer, mode) File "/usr/local/lib/python3.10/dist-packages/torch/serialization.py", line 416, in __init__ super().__init__(open(name, mode)) PermissionError: [Errno 13] Permission denied: '/opt/EfficientLoFTR/weights/eloftr_outdoor.ckpt' ================================================================ EXIT CODE: 1 (output written to /tmp/repro_out_29v4rljd) ``` Seems like there were some access issues with writing to /opt. We created a fix for this -- can you submit it again? Thank you.

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