Result table

This table was generated on 2023-11-01 at 06:22. See more results here. See last results here.

results
project_namegroup_namehostnamestatustimeFIDPrecisionRecallerror_msg
the-mnistographers
Master-IASD
ourasi
Success
104.85
32.29
0.51
0.25
None
VanillaGAN
profs
ourasi
Success
118.41
50.32
0.46
0.17
None
the-gantastics
Master-IASD
ourasi
Success
92.61
52.38
0.51
0.19
None
brasil-ia
Master-IASD
ourasi
Success
112.69
96.87
0.6
0.09
None
ganovators
Master-IASD
ourasi
Success
117.92
151.69
0.36
0.01
None
cyril-gan
Master-IASD
ourasi
Success
114.85
213.41
0.54
0.0
None
vegans
Master-IASD
ourasi
Success
114.77
338.34
0.0
0.0
None
gamnists
Master-IASD
ourasi
Success
96.57
363.83
0.0
0.0
None
ngannou
Master-IASD
ourasi
Success
100.28
383.37
0.0
0.0
None
ganmeisters
Master-IASD
ourasi
Success
112.19
383.39
0.0
0.0
None
ganier
Master-IASD
ourasi
Success
106.97
383.84
0.0
0.0
None
one-gan-show
Master-IASD
ourasi
Success
111.25
384.91
0.0
0.0
None
ganstas
Master-IASD
ourasi
Success
103.99
406.07
0.0
0.0
None
god
Master-IASD
ourasi
Success
117.08
436.53
0.0
0.0
None
deepdream
Master-IASD
ourasi
Error
0
1000
0
0
bytes: b'\r 0%- - 0/9912422 [00:00\n vanilla_gan.load_weights()\n File "/home/lamsade/testplatform/test-platform-a2/repos/Master-IASD/deepdream/algorithms/vanilla_gan.py", line 270, in load_weights\n self.generator.load_state_dict(torch.load(abs_file_path))\n File "/home/lamsade/testplatform/test-platform-a2/venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict\n raise RuntimeError(\'Error(s) in loading state_dict for {}:\\n\\t{}\'.format(\nRuntimeError: Error(s) in loading state_dict for DC_generator:\n\tMissing key(s) in state_dict: "linear1.weight", "linear1.bias", "bn1.weight", "bn1.bias", "bn1.running_mean", "bn1.running_var", "deconv1.weight", "deconv1.bias", "bn2.weight", "bn2.bias", "bn2.running_mean", "bn2.running_var", "deconv2.weight", "deconv2.bias", "bn3.weight", "bn3.bias", "bn3.running_mean", "bn3.running_var", "deconv3.weight", "deconv3.bias". \n\tUnexpected key(s) in state_dict: "fc1.weight", "fc1.bias", "fc2.weight", "fc2.bias", "fc3.weight", "fc3.bias", "fc4.weight", "fc4.bias". \n'

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