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(ExVo2022) pc060066:ExVo-MultiTask$ python3 main.py -d /data/22_ICML-ExVo22_TeamAtmaja_ITSN/ -l data_info.csv -e 20 -f DeepSpectrum -tn baseline --n_seeds 1 -p 5
ltloss
No stored files found, creating from scratch ...
100%|█████████████████████████████████████| 59201/59201 [15:53<00:00, 62.10it/s]
Saving data ...
Running Model for 1 seeds
Running experiments with DeepSpectrum
Seed 42 | 0.001 | Batch Size 8 | Epochs 20
Traceback (most recent call last):
  File "main.py", line 382, in <module>
    main()
  File "main.py", line 307, in main
    model, hmean, metrics = baseline(
  File "main.py", line 100, in baseline
    age_mae, country_uar, y_country, age_ccc, train_val, loss = train(
  File "/data/github/ExVo2022/ExVo-MultiTask/train.py", line 52, in train
    y_pred = model(inputs_X)
  File "/home/bagus/miniconda3/envs/ExVo2022/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
    return forward_call(*input, **kwargs)
  File "/data/github/ExVo2022/ExVo-MultiTask/models.py", line 38, in forward
    h_shared = self.share_layer(x)
  File "/home/bagus/miniconda3/envs/ExVo2022/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/bagus/miniconda3/envs/ExVo2022/lib/python3.8/site-packages/torch/nn/modules/container.py", line 139, in forward
    input = module(input)
  File "/home/bagus/miniconda3/envs/ExVo2022/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/bagus/miniconda3/envs/ExVo2022/lib/python3.8/site-packages/torch/nn/modules/linear.py", line 96, in forward
    return F.linear(input, self.weight, self.bias)
  File "/home/bagus/miniconda3/envs/ExVo2022/lib/python3.8/site-packages/torch/nn/functional.py", line 1847, in linear
    return torch._C._nn.linear(input, weight, bias)
RuntimeError: mat1 and mat2 shapes cannot be multiplied (8x4096 and 4095x128)

x = torch.rand(16, 10)  # (bsz, n_classes)
y = x
=> CCC_given_in_utils = 0.0938  # error
=> CCC_corrected = 1.0  # corrected