Meta-causal/code-withStyleAttack/66530.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_CA', '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([[ 0.0277,  0.0167, -0.0013,  ...,  0.0189, -0.0297, -0.0272],
        [-0.0239,  0.0024, -0.0033,  ..., -0.0273,  0.0171, -0.0036],
        [-0.0175, -0.0069, -0.0023,  ...,  0.0224,  0.0170,  0.0235],
        ...,
        [ 0.0276,  0.0035,  0.0014,  ..., -0.0038, -0.0009, -0.0128],
        [ 0.0178, -0.0050, -0.0292,  ..., -0.0179,  0.0209,  0.0095],
        [ 0.0199,  0.0231, -0.0225,  ...,  0.0291, -0.0220,  0.0027]],
       device='cuda:0'), grad: None
Epoch 1, bias, value: tensor([ 0.0288, -0.0253,  0.0215, -0.0196,  0.0060, -0.0289, -0.0188, -0.0047,
        -0.0187, -0.0223], 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_CA', '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_CA/14factor_best.csv', 'channels': 3, 'factor_num': 14, 'stride': 3, 'epoch': 'best', 'eval_mapping': True}
loading weight of best