| project_name | group_name | hostname | status | time | time_per_image_ms | acc_nat | acc_pgdlinf | acc_pgdl2 | agg | error_msg |
|---|
BestOf2023-1 | profs | coktailjet | Success | 206.4 | 10.32 | 81.25 | 70.37 | 70.79 | 141.16 | None |
the-taithon-canon | Master-IASD | coktailjet | Success | 4748.31 | 237.42 | 75.0 | 49.26 | 65.83 | 115.09 | None |
BestOf2024-1 | profs | coktailjet | Success | 5357.25 | 267.86 | 61.25 | 51.31 | 63.67 | 114.98 | None |
BestOf2024-2 | profs | upnquick | Success | 608.93 | 30.45 | 68.75 | 52.12 | 59.43 | 111.55 | None |
troublemakers | Master-IASD | upnquick | Success | 275.92 | 13.8 | 56.25 | 48.47 | 55.06 | 103.53 | None |
BestOf2023-2 | profs | upnquick | Success | 120.03 | 6.0 | 56.25 | 40.81 | 53.42 | 94.23 | None |
attack-of-babrumen | Master-IASD | upnquick | Success | 88.89 | 4.44 | 61.25 | 41.9 | 47.49 | 89.4 | None |
noeyedeer | Master-IASD | upnquick | Success | 795.04 | 39.75 | 81.25 | 33.88 | 52.52 | 86.4 | None |
best_defense_is_attack | Master-IASD | upnquick | Success | 77.23 | 3.86 | 50.0 | 29.12 | 38.17 | 67.29 | None |
ciclose-10 | Master-IASD | coktailjet | Success | 127.37 | 6.37 | 62.5 | 28.95 | 35.04 | 63.99 | None |
attack_mesonet | Master-IASD | coktailjet | Success | 130.72 | 6.54 | 56.25 | 25.68 | 32.9 | 58.58 | None |
attaquedestitans | Master-IASD | upnquick | Success | 75.86 | 3.79 | 25.0 | 18.67 | 38.36 | 57.03 | None |
madraf | Master-IASD | upnquick | Success | 109.41 | 5.47 | 68.75 | 6.06 | 25.16 | 31.22 | None |
blast_attack | Master-IASD | upnquick | Success | 77.89 | 3.89 | 62.5 | 6.02 | 25.13 | 31.15 | None |
attackonnetworks | Master-IASD | coktailjet | Success | 130.41 | 6.52 | 56.25 | 6.02 | 25.11 | 31.13 | None |
attackus | Master-IASD | coktailjet | Success | 130.47 | 6.52 | 81.25 | 6.03 | 25.1 | 31.13 | None |
attaqueoudefense | Master-IASD | upnquick | Success | 77.09 | 3.85 | 68.75 | 6.03 | 25.1 | 31.13 | None |
jogabonito | Master-IASD | upnquick | Success | 100.22 | 5.01 | 43.75 | 6.0 | 25.13 | 31.13 | None |
gradient-hackers | Master-IASD | coktailjet | Success | 128.38 | 6.42 | 62.5 | 6.04 | 25.09 | 31.13 | None |
attackonpixels | Master-IASD | upnquick | Success | 75.09 | 3.75 | 43.75 | 6.02 | 25.1 | 31.12 | None |
base_model | profs | upnquick | Success | 118.02 | 5.9 | 62.5 | 6.0 | 25.12 | 31.12 | None |
rattataque | Master-IASD | coktailjet | Success | 165.15 | 8.26 | 56.25 | 6.02 | 25.07 | 31.09 | None |
the-advengers | Master-IASD | coktailjet | Success | 167.52 | 8.38 | 62.5 | 6.0 | 25.09 | 31.09 | None |
nyc | Master-IASD | upnquick | Success | 131.79 | 6.59 | 37.5 | 6.01 | 25.07 | 31.08 | None |
invisible_attack | Master-IASD | coktailjet | Success | 127.71 | 6.39 | 87.5 | 0.01 | 0.0 | 0.01 | None |
counter_attack | Master-IASD | coktailjet | Error | 0 | 0 | 0 | 0 | 0 | 0 | ModuleNotFoundError: No module named 'pandas' |
exocet | Master-IASD | coktailjet | Error | 0 | 0 | 0 | 0 | 0 | 0 | FileNotFoundError: [Errno 2] No such file or directory: './models/pgd_10_linf_t_ls_gn_awp_best.pth' |
harissa | Master-IASD | coktailjet | Error | 0 | 0 | 0 | 0 | 0 | 0 | FileNotFoundError: [Errno 2] No such file or directory: '/home/lamsade/testplatform/test-platform-a3/repos/Master-IASD/harissa/models/default_model.pth' |
jean-ponce | Master-IASD | upnquick | Error | 0 | 0 | 0 | 0 | 0 | 0 | RuntimeError: Function StraightThroughBackward returned an invalid gradient at index 0 - got [226, 1, 32, 32] but expected shape compatible with [226, 3, 32, 32] |
neural-nightmare | Master-IASD | upnquick | Error | 0 | 0 | 0 | 0 | 0 | 0 | FileNotFoundError: [Errno 2] No such file or directory: '/home/lamsade/testplatform/test-platform-a3/repos/Master-IASD/neural-nightmare/artifacts/default_artifact.pth' |
team_joie | Master-IASD | coktailjet | Error | 0 | 0 | 0 | 0 | 0 | 0 | AttributeError: module 'model' has no attribute 'Net' |
BestOfMiles | profs | coktailjet | Error | 0 | 0 | 0 | 0 | 0 | 0 | OutOfMemoryError: CUDA out of memory. Tried to allocate 264.00 MiB. GPU 0 has a total capacity of 44.34 GiB of which 154.88 MiB is free. Process 1051303 has 39.15 GiB memory in use. Process 1132530 has 414.00 MiB memory in use. Including non-PyTorch memory, this process has 3.17 GiB memory in use. Process 1132539 has 1.44 GiB memory in use. Of the allocated memory 2.71 GiB is allocated by PyTorch, and 154.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) |