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00000-dataset-auto1-gamma10-kimg200/log.txt

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+Loading training set...
+
+Num images:  692
+Image shape: [3, 128, 128]
+Label shape: [0]
+
+Constructing networks...
+
+Generator             Parameters  Buffers  Output shape         Datatype
+---                   ---         ---      ---                  ---     
+mapping.fc0           262656      -        [32, 512]            float32 
+mapping.fc1           262656      -        [32, 512]            float32 
+mapping               -           512      [32, 12, 512]        float32 
+synthesis.b4.conv1    2622465     32       [32, 512, 4, 4]      float32 
+synthesis.b4.torgb    264195      -        [32, 3, 4, 4]        float32 
+synthesis.b4:0        8192        16       [32, 512, 4, 4]      float32 
+synthesis.b4:1        -           -        [32, 512, 4, 4]      float32 
+synthesis.b8.conv0    2622465     80       [32, 512, 8, 8]      float32 
+synthesis.b8.conv1    2622465     80       [32, 512, 8, 8]      float32 
+synthesis.b8.torgb    264195      -        [32, 3, 8, 8]        float32 
+synthesis.b8:0        -           16       [32, 512, 8, 8]      float32 
+synthesis.b8:1        -           -        [32, 512, 8, 8]      float32 
+synthesis.b16.conv0   2622465     272      [32, 512, 16, 16]    float16 
+synthesis.b16.conv1   2622465     272      [32, 512, 16, 16]    float16 
+synthesis.b16.torgb   264195      -        [32, 3, 16, 16]      float16 
+synthesis.b16:0       -           16       [32, 512, 16, 16]    float16 
+synthesis.b16:1       -           -        [32, 512, 16, 16]    float32 
+synthesis.b32.conv0   2622465     1040     [32, 512, 32, 32]    float16 
+synthesis.b32.conv1   2622465     1040     [32, 512, 32, 32]    float16 
+synthesis.b32.torgb   264195      -        [32, 3, 32, 32]      float16 
+synthesis.b32:0       -           16       [32, 512, 32, 32]    float16 
+synthesis.b32:1       -           -        [32, 512, 32, 32]    float32 
+synthesis.b64.conv0   1442561     4112     [32, 256, 64, 64]    float16 
+synthesis.b64.conv1   721409      4112     [32, 256, 64, 64]    float16 
+synthesis.b64.torgb   132099      -        [32, 3, 64, 64]      float16 
+synthesis.b64:0       -           16       [32, 256, 64, 64]    float16 
+synthesis.b64:1       -           -        [32, 256, 64, 64]    float32 
+synthesis.b128.conv0  426369      16400    [32, 128, 128, 128]  float16 
+synthesis.b128.conv1  213249      16400    [32, 128, 128, 128]  float16 
+synthesis.b128.torgb  66051       -        [32, 3, 128, 128]    float16 
+synthesis.b128:0      -           16       [32, 128, 128, 128]  float16 
+synthesis.b128:1      -           -        [32, 128, 128, 128]  float32 
+---                   ---         ---      ---                  ---     
+Total                 22949277    44448    -                    -       
+
+
+Discriminator  Parameters  Buffers  Output shape         Datatype
+---            ---         ---      ---                  ---     
+b128.fromrgb   512         16       [32, 128, 128, 128]  float16 
+b128.skip      32768       16       [32, 256, 64, 64]    float16 
+b128.conv0     147584      16       [32, 128, 128, 128]  float16 
+b128.conv1     295168      16       [32, 256, 64, 64]    float16 
+b128           -           16       [32, 256, 64, 64]    float16 
+b64.skip       131072      16       [32, 512, 32, 32]    float16 
+b64.conv0      590080      16       [32, 256, 64, 64]    float16 
+b64.conv1      1180160     16       [32, 512, 32, 32]    float16 
+b64            -           16       [32, 512, 32, 32]    float16 
+b32.skip       262144      16       [32, 512, 16, 16]    float16 
+b32.conv0      2359808     16       [32, 512, 32, 32]    float16 
+b32.conv1      2359808     16       [32, 512, 16, 16]    float16 
+b32            -           16       [32, 512, 16, 16]    float16 
+b16.skip       262144      16       [32, 512, 8, 8]      float16 
+b16.conv0      2359808     16       [32, 512, 16, 16]    float16 
+b16.conv1      2359808     16       [32, 512, 8, 8]      float16 
+b16            -           16       [32, 512, 8, 8]      float16 
+b8.skip        262144      16       [32, 512, 4, 4]      float32 
+b8.conv0       2359808     16       [32, 512, 8, 8]      float32 
+b8.conv1       2359808     16       [32, 512, 4, 4]      float32 
+b8             -           16       [32, 512, 4, 4]      float32 
+b4.mbstd       -           -        [32, 513, 4, 4]      float32 
+b4.conv        2364416     16       [32, 512, 4, 4]      float32 
+b4.fc          4194816     -        [32, 512]            float32 
+b4.out         513         -        [32, 1]              float32 
+---            ---         ---      ---                  ---     
+Total          23882369    352      -                    -       
+
+Setting up augmentation...
+Distributing across 1 GPUs...
+Setting up training phases...
+Exporting sample images...
+Initializing logs...
+Skipping tfevents export: No module named 'tensorboard'
+Training for 200 kimg...
+
+tick 0     kimg 0.0      time 23s          sec/tick 6.6     sec/kimg 205.00  maintenance 16.4   cpumem 4.12   gpumem 16.47  augment 0.000
+tick 1     kimg 4.0      time 2m 11s       sec/tick 99.7    sec/kimg 24.92   maintenance 8.3    cpumem 4.13   gpumem 8.25   augment 0.005
+tick 2     kimg 8.0      time 3m 53s       sec/tick 102.1   sec/kimg 25.53   maintenance 0.1    cpumem 4.13   gpumem 8.25   augment 0.011
+tick 3     kimg 12.0     time 5m 36s       sec/tick 102.5   sec/kimg 25.62   maintenance 0.1    cpumem 4.13   gpumem 8.31   augment 0.017
+tick 4     kimg 16.0     time 7m 19s       sec/tick 103.1   sec/kimg 25.78   maintenance 0.0    cpumem 4.13   gpumem 8.27   augment 0.021
+tick 5     kimg 20.0     time 9m 02s       sec/tick 103.1   sec/kimg 25.77   maintenance 0.1    cpumem 4.13   gpumem 8.28   augment 0.024
+tick 6     kimg 24.0     time 10m 45s      sec/tick 102.7   sec/kimg 25.67   maintenance 0.1    cpumem 4.13   gpumem 8.28   augment 0.025
+tick 7     kimg 28.0     time 12m 28s      sec/tick 103.0   sec/kimg 25.75   maintenance 0.1    cpumem 4.13   gpumem 8.26   augment 0.025
+tick 8     kimg 32.0     time 14m 11s      sec/tick 103.1   sec/kimg 25.78   maintenance 0.0    cpumem 4.13   gpumem 8.26   augment 0.023
+tick 9     kimg 36.0     time 15m 53s      sec/tick 102.4   sec/kimg 25.59   maintenance 0.1    cpumem 4.13   gpumem 8.28   augment 0.020
+tick 10    kimg 40.0     time 17m 36s      sec/tick 102.9   sec/kimg 25.74   maintenance 0.1    cpumem 4.13   gpumem 8.26   augment 0.018
+tick 11    kimg 44.0     time 19m 19s      sec/tick 102.1   sec/kimg 25.51   maintenance 0.1    cpumem 4.13   gpumem 8.25   augment 0.015
+tick 12    kimg 48.0     time 21m 01s      sec/tick 102.5   sec/kimg 25.62   maintenance 0.0    cpumem 4.13   gpumem 8.26   augment 0.013
+tick 13    kimg 52.0     time 22m 43s      sec/tick 101.7   sec/kimg 25.43   maintenance 0.1    cpumem 4.13   gpumem 8.25   augment 0.010
+tick 14    kimg 56.0     time 24m 24s      sec/tick 101.2   sec/kimg 25.29   maintenance 0.1    cpumem 4.13   gpumem 8.26   augment 0.006
+tick 15    kimg 60.0     time 26m 05s      sec/tick 100.8   sec/kimg 25.19   maintenance 0.1    cpumem 4.13   gpumem 8.25   augment 0.003
+tick 16    kimg 64.0     time 27m 45s      sec/tick 100.4   sec/kimg 25.10   maintenance 0.0    cpumem 4.13   gpumem 8.25   augment 0.001
+tick 17    kimg 68.0     time 29m 25s      sec/tick 99.6    sec/kimg 24.90   maintenance 0.1    cpumem 4.13   gpumem 8.18   augment 0.000
+tick 18    kimg 72.0     time 31m 05s      sec/tick 100.0   sec/kimg 25.00   maintenance 0.1    cpumem 4.13   gpumem 8.19   augment 0.000
+tick 19    kimg 76.0     time 32m 46s      sec/tick 100.1   sec/kimg 25.02   maintenance 0.1    cpumem 4.13   gpumem 8.17   augment 0.000
+tick 20    kimg 80.0     time 34m 26s      sec/tick 100.3   sec/kimg 25.07   maintenance 0.0    cpumem 4.13   gpumem 8.19   augment 0.001
+tick 21    kimg 84.0     time 36m 06s      sec/tick 100.1   sec/kimg 25.02   maintenance 0.1    cpumem 4.13   gpumem 8.19   augment 0.000
+tick 22    kimg 88.0     time 37m 46s      sec/tick 99.7    sec/kimg 24.93   maintenance 0.1    cpumem 4.13   gpumem 8.19   augment 0.000
+tick 23    kimg 92.0     time 39m 26s      sec/tick 100.1   sec/kimg 25.04   maintenance 0.1    cpumem 4.13   gpumem 8.19   augment 0.001
+tick 24    kimg 96.0     time 41m 06s      sec/tick 100.3   sec/kimg 25.07   maintenance 0.0    cpumem 4.13   gpumem 8.18   augment 0.000
+tick 25    kimg 100.0    time 42m 46s      sec/tick 100.0   sec/kimg 25.01   maintenance 0.1    cpumem 4.13   gpumem 8.18   augment 0.000
+tick 26    kimg 104.0    time 44m 27s      sec/tick 100.0   sec/kimg 25.01   maintenance 0.1    cpumem 4.13   gpumem 8.23   augment 0.000
+tick 27    kimg 108.0    time 46m 06s      sec/tick 99.8    sec/kimg 24.95   maintenance 0.1    cpumem 4.13   gpumem 8.19   augment 0.001
+tick 28    kimg 112.0    time 47m 47s      sec/tick 100.3   sec/kimg 25.09   maintenance 0.0    cpumem 4.13   gpumem 8.24   augment 0.001
+tick 29    kimg 116.0    time 49m 27s      sec/tick 100.1   sec/kimg 25.03   maintenance 0.1    cpumem 4.13   gpumem 8.25   augment 0.003
+tick 30    kimg 120.0    time 51m 08s      sec/tick 100.4   sec/kimg 25.11   maintenance 0.1    cpumem 4.13   gpumem 8.25   augment 0.005
+tick 31    kimg 124.0    time 52m 48s      sec/tick 100.7   sec/kimg 25.17   maintenance 0.1    cpumem 4.13   gpumem 8.27   augment 0.004
+tick 32    kimg 128.0    time 54m 29s      sec/tick 100.8   sec/kimg 25.20   maintenance 0.0    cpumem 4.13   gpumem 8.24   augment 0.004
+tick 33    kimg 132.0    time 56m 10s      sec/tick 100.5   sec/kimg 25.13   maintenance 0.1    cpumem 4.13   gpumem 8.25   augment 0.006
+tick 34    kimg 136.0    time 57m 51s      sec/tick 100.8   sec/kimg 25.20   maintenance 0.1    cpumem 4.13   gpumem 8.25   augment 0.007
+tick 35    kimg 140.0    time 59m 32s      sec/tick 101.3   sec/kimg 25.32   maintenance 0.1    cpumem 4.13   gpumem 8.25   augment 0.010
+tick 36    kimg 144.0    time 1h 01m 25s   sec/tick 113.0   sec/kimg 28.25   maintenance 0.0    cpumem 4.13   gpumem 8.26   augment 0.012
+tick 37    kimg 148.0    time 1h 03m 07s   sec/tick 101.4   sec/kimg 25.36   maintenance 0.1    cpumem 4.13   gpumem 8.26   augment 0.015
+tick 38    kimg 152.0    time 1h 04m 48s   sec/tick 101.2   sec/kimg 25.29   maintenance 0.1    cpumem 4.13   gpumem 8.25   augment 0.017
+tick 39    kimg 156.0    time 1h 06m 30s   sec/tick 102.2   sec/kimg 25.55   maintenance 0.1    cpumem 4.13   gpumem 8.43   augment 0.020
+tick 40    kimg 160.0    time 1h 08m 12s   sec/tick 102.2   sec/kimg 25.56   maintenance 0.0    cpumem 4.13   gpumem 8.31   augment 0.022
+tick 41    kimg 164.0    time 1h 09m 54s   sec/tick 101.9   sec/kimg 25.49   maintenance 0.1    cpumem 4.13   gpumem 8.27   augment 0.023
+tick 42    kimg 168.0    time 1h 11m 36s   sec/tick 101.8   sec/kimg 25.45   maintenance 0.1    cpumem 4.13   gpumem 8.38   augment 0.023
+tick 43    kimg 172.0    time 1h 13m 18s   sec/tick 102.0   sec/kimg 25.51   maintenance 0.1    cpumem 4.13   gpumem 8.26   augment 0.025
+tick 44    kimg 176.0    time 1h 15m 01s   sec/tick 102.5   sec/kimg 25.63   maintenance 0.0    cpumem 4.13   gpumem 8.28   augment 0.028
+tick 45    kimg 180.0    time 1h 16m 43s   sec/tick 102.3   sec/kimg 25.57   maintenance 0.1    cpumem 4.13   gpumem 8.27   augment 0.030
+tick 46    kimg 184.0    time 1h 18m 26s   sec/tick 102.6   sec/kimg 25.65   maintenance 0.1    cpumem 4.13   gpumem 8.30   augment 0.031
+tick 47    kimg 188.0    time 1h 20m 09s   sec/tick 102.6   sec/kimg 25.64   maintenance 0.1    cpumem 4.13   gpumem 8.27   augment 0.034
+tick 48    kimg 192.0    time 1h 21m 52s   sec/tick 103.4   sec/kimg 25.84   maintenance 0.0    cpumem 4.14   gpumem 8.26   augment 0.034
+tick 49    kimg 196.0    time 1h 23m 35s   sec/tick 102.5   sec/kimg 25.62   maintenance 0.1    cpumem 4.14   gpumem 8.27   augment 0.035
+tick 50    kimg 200.0    time 1h 25m 16s   sec/tick 101.7   sec/kimg 25.62   maintenance 0.1    cpumem 4.14   gpumem 8.32   augment 0.036
+
+Exiting...

00000-dataset-auto1-gamma10-kimg200/network-snapshot-000000.pkl

@@ -0,0 +1,3 @@
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+size 279651716

00000-dataset-auto1-gamma10-kimg200/network-snapshot-000200.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d7e680e06aabfcc2f884425ae093c8ef35059abb4d84661606833bb3219c1d60
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00000-dataset-auto1-gamma10-kimg200/training_options.json

@@ -0,0 +1,90 @@
+{
+  "num_gpus": 1,
+  "image_snapshot_ticks": 50,
+  "network_snapshot_ticks": 50,
+  "metrics": [],
+  "random_seed": 0,
+  "training_set_kwargs": {
+    "class_name": "training.dataset.ImageFolderDataset",
+    "path": "./content/dataset.zip",
+    "use_labels": false,
+    "max_size": 692,
+    "xflip": false,
+    "resolution": 128
+  },
+  "data_loader_kwargs": {
+    "pin_memory": true,
+    "num_workers": 3,
+    "prefetch_factor": 2
+  },
+  "G_kwargs": {
+    "class_name": "training.networks.Generator",
+    "z_dim": 512,
+    "w_dim": 512,
+    "mapping_kwargs": {
+      "num_layers": 2
+    },
+    "synthesis_kwargs": {
+      "channel_base": 16384,
+      "channel_max": 512,
+      "num_fp16_res": 4,
+      "conv_clamp": 256
+    }
+  },
+  "D_kwargs": {
+    "class_name": "training.networks.Discriminator",
+    "block_kwargs": {},
+    "mapping_kwargs": {},
+    "epilogue_kwargs": {
+      "mbstd_group_size": 4
+    },
+    "channel_base": 16384,
+    "channel_max": 512,
+    "num_fp16_res": 4,
+    "conv_clamp": 256
+  },
+  "G_opt_kwargs": {
+    "class_name": "torch.optim.Adam",
+    "lr": 0.0025,
+    "betas": [
+      0,
+      0.99
+    ],
+    "eps": 1e-08
+  },
+  "D_opt_kwargs": {
+    "class_name": "torch.optim.Adam",
+    "lr": 0.0025,
+    "betas": [
+      0,
+      0.99
+    ],
+    "eps": 1e-08
+  },
+  "loss_kwargs": {
+    "class_name": "training.loss.StyleGAN2Loss",
+    "r1_gamma": 10.0
+  },
+  "total_kimg": 200,
+  "batch_size": 32,
+  "batch_gpu": 32,
+  "ema_kimg": 10.0,
+  "ema_rampup": 0.05,
+  "ada_target": 0.6,
+  "augment_kwargs": {
+    "class_name": "training.augment.AugmentPipe",
+    "xflip": 1,
+    "rotate90": 1,
+    "xint": 1,
+    "scale": 1,
+    "rotate": 1,
+    "aniso": 1,
+    "xfrac": 1,
+    "brightness": 1,
+    "contrast": 1,
+    "lumaflip": 1,
+    "hue": 1,
+    "saturation": 1
+  },
+  "run_dir": "./training-runs/00000-dataset-auto1-gamma10-kimg200"
+}