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stylegan2-ifaces

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  1. 00000-dataset-auto1-gamma10-kimg200/out.txt +241 -0
00000-dataset-auto1-gamma10-kimg200/out.txt ADDED
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1
+
2
+ Training options:
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+ {
4
+ "num_gpus": 1,
5
+ "image_snapshot_ticks": 50,
6
+ "network_snapshot_ticks": 50,
7
+ "metrics": [],
8
+ "random_seed": 0,
9
+ "training_set_kwargs": {
10
+ "class_name": "training.dataset.ImageFolderDataset",
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+ "path": "./content/dataset.zip",
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+ "use_labels": false,
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+ "max_size": 692,
14
+ "xflip": false,
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+ "resolution": 128
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+ },
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+ "data_loader_kwargs": {
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+ "pin_memory": true,
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+ "num_workers": 3,
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+ "prefetch_factor": 2
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+ },
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+ "G_kwargs": {
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+ "class_name": "training.networks.Generator",
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+ "z_dim": 512,
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+ "w_dim": 512,
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+ "mapping_kwargs": {
27
+ "num_layers": 2
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+ },
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+ "synthesis_kwargs": {
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+ "channel_base": 16384,
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+ "channel_max": 512,
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+ "num_fp16_res": 4,
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+ "conv_clamp": 256
34
+ }
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+ },
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+ "D_kwargs": {
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+ "class_name": "training.networks.Discriminator",
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+ "block_kwargs": {},
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+ "mapping_kwargs": {},
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+ "epilogue_kwargs": {
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+ "mbstd_group_size": 4
42
+ },
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+ "channel_base": 16384,
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+ "channel_max": 512,
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+ "num_fp16_res": 4,
46
+ "conv_clamp": 256
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+ },
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+ "G_opt_kwargs": {
49
+ "class_name": "torch.optim.Adam",
50
+ "lr": 0.0025,
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+ "betas": [
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+ 0,
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+ 0.99
54
+ ],
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+ "eps": 1e-08
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+ },
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+ "D_opt_kwargs": {
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+ "class_name": "torch.optim.Adam",
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+ "lr": 0.0025,
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+ "betas": [
61
+ 0,
62
+ 0.99
63
+ ],
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+ "eps": 1e-08
65
+ },
66
+ "loss_kwargs": {
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+ "class_name": "training.loss.StyleGAN2Loss",
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+ "r1_gamma": 10.0
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+ },
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+ "total_kimg": 200,
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+ "batch_size": 32,
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+ "batch_gpu": 32,
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+ "ema_kimg": 10.0,
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+ "ema_rampup": 0.05,
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+ "ada_target": 0.6,
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+ "augment_kwargs": {
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+ "class_name": "training.augment.AugmentPipe",
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+ "xflip": 1,
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+ "rotate90": 1,
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+ "xint": 1,
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+ "scale": 1,
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+ "rotate": 1,
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+ "aniso": 1,
84
+ "xfrac": 1,
85
+ "brightness": 1,
86
+ "contrast": 1,
87
+ "lumaflip": 1,
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+ "hue": 1,
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+ "saturation": 1
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+ },
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+ "run_dir": "./training-runs/00000-dataset-auto1-gamma10-kimg200"
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+ }
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+
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+ Output directory: ./training-runs/00000-dataset-auto1-gamma10-kimg200
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+ Training data: ./content/dataset.zip
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+ Training duration: 200 kimg
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+ Number of GPUs: 1
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+ Number of images: 692
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+ Image resolution: 128
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+ Conditional model: False
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+ Dataset x-flips: False
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+
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+ Creating output directory...
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+ Launching processes...
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+ Loading training set...
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+
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+ Num images: 692
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+ Image shape: [3, 128, 128]
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+ Label shape: [0]
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+
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+ Constructing networks...
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+
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+ Generator Parameters Buffers Output shape Datatype
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+ --- --- --- --- ---
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+ mapping.fc0 262656 - [32, 512] float32
116
+ mapping.fc1 262656 - [32, 512] float32
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+ mapping - 512 [32, 12, 512] float32
118
+ synthesis.b4.conv1 2622465 32 [32, 512, 4, 4] float32
119
+ synthesis.b4.torgb 264195 - [32, 3, 4, 4] float32
120
+ synthesis.b4:0 8192 16 [32, 512, 4, 4] float32
121
+ synthesis.b4:1 - - [32, 512, 4, 4] float32
122
+ synthesis.b8.conv0 2622465 80 [32, 512, 8, 8] float32
123
+ synthesis.b8.conv1 2622465 80 [32, 512, 8, 8] float32
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+ synthesis.b8.torgb 264195 - [32, 3, 8, 8] float32
125
+ synthesis.b8:0 - 16 [32, 512, 8, 8] float32
126
+ synthesis.b8:1 - - [32, 512, 8, 8] float32
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+ synthesis.b16.conv0 2622465 272 [32, 512, 16, 16] float16
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+ synthesis.b16.conv1 2622465 272 [32, 512, 16, 16] float16
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+ synthesis.b16.torgb 264195 - [32, 3, 16, 16] float16
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+ synthesis.b16:0 - 16 [32, 512, 16, 16] float16
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+ synthesis.b16:1 - - [32, 512, 16, 16] float32
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+ synthesis.b32.conv0 2622465 1040 [32, 512, 32, 32] float16
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+ synthesis.b32.conv1 2622465 1040 [32, 512, 32, 32] float16
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+ synthesis.b32.torgb 264195 - [32, 3, 32, 32] float16
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+ synthesis.b32:0 - 16 [32, 512, 32, 32] float16
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+ synthesis.b32:1 - - [32, 512, 32, 32] float32
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+ synthesis.b64.conv0 1442561 4112 [32, 256, 64, 64] float16
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+ synthesis.b64.conv1 721409 4112 [32, 256, 64, 64] float16
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+ synthesis.b64.torgb 132099 - [32, 3, 64, 64] float16
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+ synthesis.b64:0 - 16 [32, 256, 64, 64] float16
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+ synthesis.b64:1 - - [32, 256, 64, 64] float32
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+ synthesis.b128.conv0 426369 16400 [32, 128, 128, 128] float16
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+ synthesis.b128.conv1 213249 16400 [32, 128, 128, 128] float16
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+ synthesis.b128.torgb 66051 - [32, 3, 128, 128] float16
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+ synthesis.b128:0 - 16 [32, 128, 128, 128] float16
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+ synthesis.b128:1 - - [32, 128, 128, 128] float32
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+ --- --- --- --- ---
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+ Total 22949277 44448 - -
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+
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+
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+ Discriminator Parameters Buffers Output shape Datatype
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+ --- --- --- --- ---
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+ b128.fromrgb 512 16 [32, 128, 128, 128] float16
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+ b128.skip 32768 16 [32, 256, 64, 64] float16
155
+ b128.conv0 147584 16 [32, 128, 128, 128] float16
156
+ b128.conv1 295168 16 [32, 256, 64, 64] float16
157
+ b128 - 16 [32, 256, 64, 64] float16
158
+ b64.skip 131072 16 [32, 512, 32, 32] float16
159
+ b64.conv0 590080 16 [32, 256, 64, 64] float16
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+ b64.conv1 1180160 16 [32, 512, 32, 32] float16
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+ b64 - 16 [32, 512, 32, 32] float16
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+ b32.skip 262144 16 [32, 512, 16, 16] float16
163
+ b32.conv0 2359808 16 [32, 512, 32, 32] float16
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+ b32.conv1 2359808 16 [32, 512, 16, 16] float16
165
+ b32 - 16 [32, 512, 16, 16] float16
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+ b16.skip 262144 16 [32, 512, 8, 8] float16
167
+ b16.conv0 2359808 16 [32, 512, 16, 16] float16
168
+ b16.conv1 2359808 16 [32, 512, 8, 8] float16
169
+ b16 - 16 [32, 512, 8, 8] float16
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+ b8.skip 262144 16 [32, 512, 4, 4] float32
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+ b8.conv0 2359808 16 [32, 512, 8, 8] float32
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+ b8.conv1 2359808 16 [32, 512, 4, 4] float32
173
+ b8 - 16 [32, 512, 4, 4] float32
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+ b4.mbstd - - [32, 513, 4, 4] float32
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+ b4.conv 2364416 16 [32, 512, 4, 4] float32
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+ b4.fc 4194816 - [32, 512] float32
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+ b4.out 513 - [32, 1] float32
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+ --- --- --- --- ---
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+ Total 23882369 352 - -
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+
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+ Setting up augmentation...
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+ Distributing across 1 GPUs...
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+ Setting up training phases...
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+ Exporting sample images...
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+ Initializing logs...
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+ Skipping tfevents export: No module named 'tensorboard'
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+ Training for 200 kimg...
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+
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+
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+ Exiting...