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stylegan2-ifaces

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  1. 00002-dataset_256-auto1-gamma10-kimg500/dataset_256.zip +3 -0
  2. 00002-dataset_256-auto1-gamma10-kimg500/fakes000500.png +3 -0
  3. 00002-dataset_256-auto1-gamma10-kimg500/log.txt +221 -0
  4. 00002-dataset_256-auto1-gamma10-kimg500/network-snapshot-000500.pkl +3 -0
  5. 00002-dataset_256-auto1-gamma10-kimg500/stats.jsonl +0 -0
00002-dataset_256-auto1-gamma10-kimg500/dataset_256.zip ADDED
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+ size 137977838
00002-dataset_256-auto1-gamma10-kimg500/fakes000500.png ADDED

Git LFS Details

  • SHA256: faff3d1cca7d4f4a44ec1de9f0fa00929d911c27064466e124e2b935098316a4
  • Pointer size: 133 Bytes
  • Size of remote file: 42.4 MB
00002-dataset_256-auto1-gamma10-kimg500/log.txt ADDED
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+ Loading training set...
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+
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+ Num images: 700
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+ Image shape: [3, 256, 256]
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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 - [16, 512] float32
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+ mapping.fc1 262656 - [16, 512] float32
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+ mapping - 512 [16, 14, 512] float32
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+ synthesis.b4.conv1 2622465 32 [16, 512, 4, 4] float32
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+ synthesis.b4.torgb 264195 - [16, 3, 4, 4] float32
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+ synthesis.b4:0 8192 16 [16, 512, 4, 4] float32
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+ synthesis.b4:1 - - [16, 512, 4, 4] float32
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+ synthesis.b8.conv0 2622465 80 [16, 512, 8, 8] float32
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+ synthesis.b8.conv1 2622465 80 [16, 512, 8, 8] float32
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+ synthesis.b8.torgb 264195 - [16, 3, 8, 8] float32
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+ synthesis.b8:0 - 16 [16, 512, 8, 8] float32
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+ synthesis.b8:1 - - [16, 512, 8, 8] float32
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+ synthesis.b16.conv0 2622465 272 [16, 512, 16, 16] float32
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+ synthesis.b16.conv1 2622465 272 [16, 512, 16, 16] float32
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+ synthesis.b16.torgb 264195 - [16, 3, 16, 16] float32
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+ synthesis.b16:0 - 16 [16, 512, 16, 16] float32
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+ synthesis.b16:1 - - [16, 512, 16, 16] float32
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+ synthesis.b32.conv0 2622465 1040 [16, 512, 32, 32] float16
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+ synthesis.b32.conv1 2622465 1040 [16, 512, 32, 32] float16
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+ synthesis.b32.torgb 264195 - [16, 3, 32, 32] float16
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+ synthesis.b32:0 - 16 [16, 512, 32, 32] float16
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+ synthesis.b32:1 - - [16, 512, 32, 32] float32
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+ synthesis.b64.conv0 1442561 4112 [16, 256, 64, 64] float16
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+ synthesis.b64.conv1 721409 4112 [16, 256, 64, 64] float16
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+ synthesis.b64.torgb 132099 - [16, 3, 64, 64] float16
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+ synthesis.b64:0 - 16 [16, 256, 64, 64] float16
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+ synthesis.b64:1 - - [16, 256, 64, 64] float32
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+ synthesis.b128.conv0 426369 16400 [16, 128, 128, 128] float16
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+ synthesis.b128.conv1 213249 16400 [16, 128, 128, 128] float16
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+ synthesis.b128.torgb 66051 - [16, 3, 128, 128] float16
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+ synthesis.b128:0 - 16 [16, 128, 128, 128] float16
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+ synthesis.b128:1 - - [16, 128, 128, 128] float32
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+ synthesis.b256.conv0 139457 65552 [16, 64, 256, 256] float16
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+ synthesis.b256.conv1 69761 65552 [16, 64, 256, 256] float16
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+ synthesis.b256.torgb 33027 - [16, 3, 256, 256] float16
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+ synthesis.b256:0 - 16 [16, 64, 256, 256] float16
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+ synthesis.b256:1 - - [16, 64, 256, 256] float32
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+ --- --- --- --- ---
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+ Total 23191522 175568 - -
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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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+ b256.fromrgb 256 16 [16, 64, 256, 256] float16
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+ b256.skip 8192 16 [16, 128, 128, 128] float16
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+ b256.conv0 36928 16 [16, 64, 256, 256] float16
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+ b256.conv1 73856 16 [16, 128, 128, 128] float16
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+ b256 - 16 [16, 128, 128, 128] float16
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+ b128.skip 32768 16 [16, 256, 64, 64] float16
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+ b128.conv0 147584 16 [16, 128, 128, 128] float16
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+ b128.conv1 295168 16 [16, 256, 64, 64] float16
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+ b128 - 16 [16, 256, 64, 64] float16
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+ b64.skip 131072 16 [16, 512, 32, 32] float16
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+ b64.conv0 590080 16 [16, 256, 64, 64] float16
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+ b64.conv1 1180160 16 [16, 512, 32, 32] float16
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+ b64 - 16 [16, 512, 32, 32] float16
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+ b32.skip 262144 16 [16, 512, 16, 16] float16
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+ b32.conv0 2359808 16 [16, 512, 32, 32] float16
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+ b32.conv1 2359808 16 [16, 512, 16, 16] float16
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+ b32 - 16 [16, 512, 16, 16] float16
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+ b16.skip 262144 16 [16, 512, 8, 8] float32
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+ b16.conv0 2359808 16 [16, 512, 16, 16] float32
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+ b16.conv1 2359808 16 [16, 512, 8, 8] float32
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+ b16 - 16 [16, 512, 8, 8] float32
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+ b8.skip 262144 16 [16, 512, 4, 4] float32
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+ b8.conv0 2359808 16 [16, 512, 8, 8] float32
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+ b8.conv1 2359808 16 [16, 512, 4, 4] float32
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+ b8 - 16 [16, 512, 4, 4] float32
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+ b4.mbstd - - [16, 513, 4, 4] float32
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+ b4.conv 2364416 16 [16, 512, 4, 4] float32
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+ b4.fc 4194816 - [16, 512] float32
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+ b4.out 513 - [16, 1] float32
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+ --- --- --- --- ---
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+ Total 24001089 416 - -
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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 500 kimg...
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+
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+ tick 0 kimg 0.0 time 31s sec/tick 5.8 sec/kimg 361.34 maintenance 25.1 cpumem 4.62 gpumem 34.77 augment 0.000
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+ tick 1 kimg 4.0 time 3m 39s sec/tick 177.1 sec/kimg 44.28 maintenance 11.3 cpumem 4.64 gpumem 7.58 augment 0.006
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+ tick 4 kimg 16.0 time 12m 46s sec/tick 183.1 sec/kimg 45.77 maintenance 0.1 cpumem 4.65 gpumem 7.65 augment 0.024
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+ tick 5 kimg 20.0 time 15m 49s sec/tick 183.3 sec/kimg 45.83 maintenance 0.1 cpumem 4.65 gpumem 7.65 augment 0.030
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+ tick 6 kimg 24.0 time 18m 53s sec/tick 183.8 sec/kimg 45.96 maintenance 0.1 cpumem 4.65 gpumem 7.64 augment 0.034
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+ tick 7 kimg 28.0 time 21m 58s sec/tick 185.4 sec/kimg 46.35 maintenance 0.1 cpumem 4.65 gpumem 7.70 augment 0.037
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+ tick 8 kimg 32.0 time 25m 04s sec/tick 185.8 sec/kimg 46.46 maintenance 0.1 cpumem 4.65 gpumem 7.63 augment 0.040
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+ tick 9 kimg 36.0 time 28m 13s sec/tick 188.3 sec/kimg 47.09 maintenance 0.1 cpumem 4.65 gpumem 7.64 augment 0.042
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+ tick 35 kimg 140.0 time 1h 48m 39s sec/tick 185.5 sec/kimg 46.37 maintenance 0.1 cpumem 4.65 gpumem 7.79 augment 0.050
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198
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199
+ tick 105 kimg 420.0 time 5h 28m 09s sec/tick 186.6 sec/kimg 46.65 maintenance 0.1 cpumem 4.64 gpumem 7.87 augment 0.103
200
+ tick 106 kimg 424.0 time 5h 31m 16s sec/tick 186.5 sec/kimg 46.63 maintenance 0.1 cpumem 4.64 gpumem 7.74 augment 0.102
201
+ tick 107 kimg 428.0 time 5h 34m 22s sec/tick 186.0 sec/kimg 46.49 maintenance 0.1 cpumem 4.64 gpumem 7.84 augment 0.104
202
+ tick 108 kimg 432.0 time 5h 37m 29s sec/tick 187.5 sec/kimg 46.87 maintenance 0.1 cpumem 4.64 gpumem 8.01 augment 0.104
203
+ tick 109 kimg 436.0 time 5h 40m 36s sec/tick 186.8 sec/kimg 46.70 maintenance 0.1 cpumem 4.64 gpumem 7.82 augment 0.104
204
+ tick 110 kimg 440.0 time 5h 43m 44s sec/tick 187.9 sec/kimg 46.97 maintenance 0.1 cpumem 4.64 gpumem 7.76 augment 0.106
205
+ tick 111 kimg 444.0 time 5h 46m 53s sec/tick 188.5 sec/kimg 47.13 maintenance 0.1 cpumem 4.64 gpumem 7.77 augment 0.107
206
+ tick 112 kimg 448.0 time 5h 50m 00s sec/tick 187.7 sec/kimg 46.92 maintenance 0.1 cpumem 4.64 gpumem 7.77 augment 0.108
207
+ tick 113 kimg 452.0 time 5h 53m 08s sec/tick 187.8 sec/kimg 46.95 maintenance 0.1 cpumem 4.64 gpumem 7.69 augment 0.109
208
+ tick 114 kimg 456.0 time 5h 56m 15s sec/tick 186.4 sec/kimg 46.60 maintenance 0.1 cpumem 4.64 gpumem 7.80 augment 0.111
209
+ tick 115 kimg 460.0 time 5h 59m 22s sec/tick 187.4 sec/kimg 46.85 maintenance 0.1 cpumem 4.64 gpumem 7.82 augment 0.112
210
+ tick 116 kimg 464.0 time 6h 02m 28s sec/tick 186.0 sec/kimg 46.50 maintenance 0.1 cpumem 4.64 gpumem 7.77 augment 0.112
211
+ tick 117 kimg 468.0 time 6h 05m 38s sec/tick 189.1 sec/kimg 47.29 maintenance 0.1 cpumem 4.64 gpumem 7.71 augment 0.113
212
+ tick 118 kimg 472.0 time 6h 08m 46s sec/tick 188.1 sec/kimg 47.01 maintenance 0.1 cpumem 4.64 gpumem 7.72 augment 0.115
213
+ tick 119 kimg 476.0 time 6h 11m 53s sec/tick 187.3 sec/kimg 46.83 maintenance 0.1 cpumem 4.64 gpumem 7.73 augment 0.114
214
+ tick 120 kimg 480.0 time 6h 15m 03s sec/tick 189.5 sec/kimg 47.36 maintenance 0.1 cpumem 4.64 gpumem 7.91 augment 0.115
215
+ tick 121 kimg 484.0 time 6h 18m 11s sec/tick 188.0 sec/kimg 47.01 maintenance 0.1 cpumem 4.64 gpumem 7.77 augment 0.115
216
+ tick 122 kimg 488.0 time 6h 21m 20s sec/tick 189.3 sec/kimg 47.32 maintenance 0.1 cpumem 4.64 gpumem 7.80 augment 0.115
217
+ tick 123 kimg 492.0 time 6h 24m 28s sec/tick 188.2 sec/kimg 47.05 maintenance 0.1 cpumem 4.64 gpumem 7.83 augment 0.117
218
+ tick 124 kimg 496.0 time 6h 27m 38s sec/tick 189.3 sec/kimg 47.33 maintenance 0.1 cpumem 4.64 gpumem 7.82 augment 0.117
219
+ tick 125 kimg 500.0 time 6h 30m 45s sec/tick 187.5 sec/kimg 47.06 maintenance 0.1 cpumem 4.64 gpumem 7.80 augment 0.117
220
+
221
+ Exiting...
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00002-dataset_256-auto1-gamma10-kimg500/stats.jsonl ADDED
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