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bench.out.55851129
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bench.out.55851129
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Requirement already satisfied: piqa in ./myenv/lib/python3.9/site-packages (1.2.2)
Requirement already satisfied: torch>=1.8.0 in ./myenv/lib/python3.9/site-packages (from piqa) (2.0.0)
Requirement already satisfied: torchvision>=0.9.0 in ./myenv/lib/python3.9/site-packages (from piqa) (0.15.1)
Requirement already satisfied: networkx in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (3.0)
Requirement already satisfied: nvidia-curand-cu11==10.2.10.91 in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (10.2.10.91)
Requirement already satisfied: nvidia-cusolver-cu11==11.4.0.1 in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (11.4.0.1)
Requirement already satisfied: triton==2.0.0 in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (2.0.0)
Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (11.7.99)
Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (10.9.0.58)
Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (11.10.3.66)
Requirement already satisfied: filelock in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (3.10.7)
Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (11.7.99)
Requirement already satisfied: nvidia-nccl-cu11==2.14.3 in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (2.14.3)
Requirement already satisfied: typing-extensions in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (4.5.0)
Requirement already satisfied: nvidia-cuda-cupti-cu11==11.7.101 in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (11.7.101)
Requirement already satisfied: nvidia-nvtx-cu11==11.7.91 in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (11.7.91)
Requirement already satisfied: sympy in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (1.11.1)
Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (8.5.0.96)
Requirement already satisfied: jinja2 in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (3.1.2)
Requirement already satisfied: nvidia-cusparse-cu11==11.7.4.91 in ./myenv/lib/python3.9/site-packages (from torch>=1.8.0->piqa) (11.7.4.91)
Requirement already satisfied: setuptools in ./myenv/lib/python3.9/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.8.0->piqa) (49.2.1)
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Requirement already satisfied: cmake in ./myenv/lib/python3.9/site-packages (from triton==2.0.0->torch>=1.8.0->piqa) (3.26.1)
Requirement already satisfied: lit in ./myenv/lib/python3.9/site-packages (from triton==2.0.0->torch>=1.8.0->piqa) (16.0.0)
Requirement already satisfied: requests in ./myenv/lib/python3.9/site-packages (from torchvision>=0.9.0->piqa) (2.28.2)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in ./myenv/lib/python3.9/site-packages (from torchvision>=0.9.0->piqa) (9.4.0)
Requirement already satisfied: numpy in ./myenv/lib/python3.9/site-packages (from torchvision>=0.9.0->piqa) (1.24.2)
Requirement already satisfied: MarkupSafe>=2.0 in ./myenv/lib/python3.9/site-packages (from jinja2->torch>=1.8.0->piqa) (2.1.2)
Requirement already satisfied: charset-normalizer<4,>=2 in ./myenv/lib/python3.9/site-packages (from requests->torchvision>=0.9.0->piqa) (3.1.0)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in ./myenv/lib/python3.9/site-packages (from requests->torchvision>=0.9.0->piqa) (1.26.15)
Requirement already satisfied: idna<4,>=2.5 in ./myenv/lib/python3.9/site-packages (from requests->torchvision>=0.9.0->piqa) (3.4)
Requirement already satisfied: certifi>=2017.4.17 in ./myenv/lib/python3.9/site-packages (from requests->torchvision>=0.9.0->piqa) (2022.12.7)
Requirement already satisfied: mpmath>=0.19 in ./myenv/lib/python3.9/site-packages (from sympy->torch>=1.8.0->piqa) (1.3.0)
Namespace(name='GMM_withPERP_VGG_LOSS_POINT_5', workers=20, batch_size=32, dataroot='/scratch/c.c1984628/my_diss/bpgm/data', datamode='train', stage='GMM', data_list='/scratch/c.c1984628/my_diss/bpgm/data/train_pairs.txt', dataset='viton', fine_width=192, fine_height=256, radius=5, grid_size=5, lr=0.0001, tensorboard_dir='tensorboard', checkpoint_dir='/scratch/c.c1984628/my_diss/checkpoints/vgg_net_loss_lpips_point_five', checkpoint='', display_count=20, save_count=25000, keep_step=100000, decay_step=100000, shuffle=False, train_size=0.9, val_size=0.1, img_size=256)
Start to train stage: GMM, named: GMM_withPERP_VGG_LOSS_POINT_5!
initialization method [normal]
initialization method [normal]
Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
Loading model from: /scratch/c.c1984628/my_diss/myenv/lib/python3.9/site-packages/lpips/weights/v0.1/vgg.pth
step: 20, time: 3.285, loss: 0.020369
step: 40, time: 2.819, loss: 0.019364
step: 60, time: 2.765, loss: 0.016037
step: 80, time: 2.770, loss: 0.019192
step: 100, time: 2.741, loss: 0.017958
step: 120, time: 2.834, loss: 0.019839
step: 140, time: 2.774, loss: 0.017746
step: 160, time: 2.709, loss: 0.018438
step: 180, time: 2.820, loss: 0.019019
step: 200, time: 2.790, loss: 0.016115
step: 220, time: 2.791, loss: 0.017413
step: 240, time: 2.777, loss: 0.015355
step: 260, time: 2.748, loss: 0.016514
step: 280, time: 2.754, loss: 0.017208
step: 300, time: 2.803, loss: 0.016097
step: 320, time: 2.774, loss: 0.013906
step: 340, time: 2.697, loss: 0.014830
step: 360, time: 2.758, loss: 0.015679
step: 380, time: 2.674, loss: 0.015221
step: 400, time: 2.361, loss: 0.013409
step: 420, time: 2.707, loss: 0.012515
step: 440, time: 2.727, loss: 0.016723
step: 460, time: 2.694, loss: 0.016114
step: 480, time: 2.691, loss: 0.012891
step: 500, time: 2.718, loss: 0.014695
step: 520, time: 2.739, loss: 0.014042
step: 540, time: 2.716, loss: 0.015247
step: 560, time: 2.692, loss: 0.015333
step: 580, time: 2.715, loss: 0.014582
step: 600, time: 2.712, loss: 0.014366
step: 620, time: 2.687, loss: 0.014195
step: 640, time: 2.762, loss: 0.014618
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step: 680, time: 2.737, loss: 0.011941
step: 700, time: 2.721, loss: 0.013585
step: 720, time: 2.698, loss: 0.014459
step: 740, time: 2.731, loss: 0.015257
step: 760, time: 2.697, loss: 0.015123
step: 780, time: 2.588, loss: 0.014253
step: 800, time: 2.392, loss: 0.014039
step: 820, time: 2.745, loss: 0.012060
step: 840, time: 2.705, loss: 0.010801
step: 860, time: 2.731, loss: 0.015792
step: 880, time: 2.730, loss: 0.011966
step: 900, time: 2.696, loss: 0.014356
step: 920, time: 2.688, loss: 0.011620
step: 940, time: 2.763, loss: 0.012138
step: 960, time: 2.723, loss: 0.011277
step: 980, time: 2.730, loss: 0.013360
step: 1000, time: 2.713, loss: 0.011824
step: 1020, time: 2.687, loss: 0.012548
step: 1040, time: 2.719, loss: 0.011905
step: 1060, time: 2.731, loss: 0.012388
step: 1080, time: 2.701, loss: 0.012577
step: 1100, time: 2.685, loss: 0.012861
step: 1120, time: 2.698, loss: 0.014331
step: 1140, time: 2.697, loss: 0.012246
step: 1160, time: 2.722, loss: 0.012238
step: 1180, time: 2.663, loss: 0.012422
step: 1200, time: 2.394, loss: 0.010616
step: 1220, time: 2.708, loss: 0.009751
step: 1240, time: 2.699, loss: 0.010444
step: 1260, time: 2.637, loss: 0.013141
step: 1280, time: 2.678, loss: 0.012223
step: 1300, time: 2.750, loss: 0.013380
step: 1320, time: 2.706, loss: 0.013269
step: 1340, time: 2.679, loss: 0.010978
step: 1360, time: 2.744, loss: 0.012600
step: 1380, time: 2.696, loss: 0.011622
step: 1400, time: 2.689, loss: 0.011173
step: 1420, time: 2.734, loss: 0.011035
step: 1440, time: 2.642, loss: 0.011454
step: 1460, time: 2.726, loss: 0.011296
step: 1480, time: 2.692, loss: 0.012812
step: 1500, time: 2.673, loss: 0.010932
step: 1520, time: 2.735, loss: 0.012807
step: 1540, time: 2.699, loss: 0.012499
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step: 1840, time: 2.699, loss: 0.010192
step: 1860, time: 2.704, loss: 0.010656
step: 1880, time: 2.717, loss: 0.011592
step: 1900, time: 2.730, loss: 0.013254
step: 1920, time: 2.691, loss: 0.009514
step: 1940, time: 2.687, loss: 0.008328
step: 1960, time: 2.725, loss: 0.010248
step: 1980, time: 2.638, loss: 0.012550
step: 2000, time: 2.333, loss: 0.011642
step: 2020, time: 2.706, loss: 0.009749
step: 2040, time: 2.689, loss: 0.009372
step: 2060, time: 2.726, loss: 0.011813
step: 2080, time: 2.687, loss: 0.010010
step: 2100, time: 2.668, loss: 0.008484
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step: 3000, time: 2.749, loss: 0.010359
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