Meta-causal/code-withStyleAttack/66528.log

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{'gpu': '0', 'data': 'mnist', 'ntr': None, 'translate': None, 'autoaug': 'CA_multiple', 'n': 3, 'stride': 3, 'factor_num': 14, 'epochs': 500, 'nbatch': 100, 'batchsize': 32, 'lr': 0.0001, 'lr_scheduler': 'Step', 'svroot': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-digit/CA_multiple_14fa_all_ep500_lr1e-4_lr_schedulerStep0.8_bs32_lamCa_1_lamRe_1_cls1_adt2_EW2_100_rmTrue_rnTrue_str3_WithStyleAttackExp1_FA', 'clsadapt': True, 'lambda_causal': 1.0, 'lambda_re': 1.0, 'randm': True, 'randn': True, 'network': 'resnet18'}
stride: 3
--------------------------CA_multiple--------------------------
---------------------------14 factors-----------------
randm: True
randn: True
n: 3
randm: False
Epoch 1, weight, value: tensor([[ 0.0147,  0.0303, -0.0251,  ..., -0.0302, -0.0033, -0.0088],
        [ 0.0007, -0.0181,  0.0010,  ..., -0.0094,  0.0037,  0.0299],
        [ 0.0096, -0.0300,  0.0145,  ..., -0.0281, -0.0227,  0.0236],
        ...,
        [ 0.0306, -0.0302, -0.0116,  ...,  0.0051,  0.0029, -0.0268],
        [-0.0200, -0.0005,  0.0098,  ...,  0.0062,  0.0308,  0.0146],
        [ 0.0129, -0.0243, -0.0199,  ..., -0.0191,  0.0098, -0.0306]],
       device='cuda:0'), grad: None
Epoch 1, bias, value: tensor([ 0.0234, -0.0300, -0.0249, -0.0259, -0.0306,  0.0035,  0.0253,  0.0311,
        -0.0174,  0.0284], device='cuda:0'), grad: None
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{'gpu': '0', 'svroot': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-digit/CA_multiple_14fa_all_ep500_lr1e-4_lr_schedulerStep0.8_bs32_lamCa_1_lamRe_1_cls1_adt2_EW2_100_rmTrue_rnTrue_str3_WithStyleAttackExp1_FA', 'svpath': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-digit/CA_multiple_14fa_all_ep500_lr1e-4_lr_schedulerStep0.8_bs32_lamCa_1_lamRe_1_cls1_adt2_EW2_100_rmTrue_rnTrue_str3_WithStyleAttackExp1_FA/14factor_best.csv', 'channels': 3, 'factor_num': 14, 'stride': 3, 'epoch': 'best', 'eval_mapping': True}
loading weight of best