StlyeGAN2-ADA-pytorch for gray images.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# This is StlyeGAN2-ADA-pytorch for black and white images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate dataset  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  0%|                                                  | 0/4432 [00:00<?, ?it/s]{'width': 512, 'height': 512, 'channels': 1}\n",
      "100%|███████████████████████████████████████| 4432/4432 [01:08<00:00, 64.81it/s]\n"
     ]
    }
   ],
   "source": [
    "!python dataset_tool_gray.py --source= source images --dest= ./dataset_floder.zip --transform=center-crop --width=512 --height=512"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!python dataset_tool_gray.py --source=../DCGAN/Knee_GAN/new_images/1/1 --dest=./datasets/0323oiaclassify1.zip --transform=center-crop --width=512 --height=512\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### --dry run is for check parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!python train.py --outdir=./outdir --data=dataset_floder.zip --gpus=2 --cfg=auto --kimg =1000 --dry-run\n",
    "!python train.py --outdir=./outdir--data= dataset_floder.zip --gpus=N_GPU --cfg=auto \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Training options:\n",
      "{\n",
      "  \"num_gpus\": 2,\n",
      "  \"image_snapshot_ticks\": 50,\n",
      "  \"network_snapshot_ticks\": 50,\n",
      "  \"metrics\": [\n",
      "    \"fid50k_full\"\n",
      "  ],\n",
      "  \"random_seed\": 0,\n",
      "  \"training_set_kwargs\": {\n",
      "    \"class_name\": \"training.dataset.ImageFolderDataset\",\n",
      "    \"path\": \"./datasets/GAN_1000.zip\",\n",
      "    \"use_labels\": false,\n",
      "    \"max_size\": 1000,\n",
      "    \"xflip\": false,\n",
      "    \"resolution\": 512\n",
      "  },\n",
      "  \"data_loader_kwargs\": {\n",
      "    \"pin_memory\": true,\n",
      "    \"num_workers\": 3,\n",
      "    \"prefetch_factor\": 2\n",
      "  },\n",
      "  \"G_kwargs\": {\n",
      "    \"class_name\": \"training.networks.Generator\",\n",
      "    \"z_dim\": 512,\n",
      "    \"w_dim\": 512,\n",
      "    \"mapping_kwargs\": {\n",
      "      \"num_layers\": 2\n",
      "    },\n",
      "    \"synthesis_kwargs\": {\n",
      "      \"channel_base\": 32768,\n",
      "      \"channel_max\": 512,\n",
      "      \"num_fp16_res\": 4,\n",
      "      \"conv_clamp\": 256\n",
      "    }\n",
      "  },\n",
      "  \"D_kwargs\": {\n",
      "    \"class_name\": \"training.networks.Discriminator\",\n",
      "    \"block_kwargs\": {},\n",
      "    \"mapping_kwargs\": {},\n",
      "    \"epilogue_kwargs\": {\n",
      "      \"mbstd_group_size\": 4\n",
      "    },\n",
      "    \"channel_base\": 32768,\n",
      "    \"channel_max\": 512,\n",
      "    \"num_fp16_res\": 4,\n",
      "    \"conv_clamp\": 256\n",
      "  },\n",
      "  \"G_opt_kwargs\": {\n",
      "    \"class_name\": \"torch.optim.Adam\",\n",
      "    \"lr\": 0.0025,\n",
      "    \"betas\": [\n",
      "      0,\n",
      "      0.99\n",
      "    ],\n",
      "    \"eps\": 1e-08\n",
      "  },\n",
      "  \"D_opt_kwargs\": {\n",
      "    \"class_name\": \"torch.optim.Adam\",\n",
      "    \"lr\": 0.0025,\n",
      "    \"betas\": [\n",
      "      0,\n",
      "      0.99\n",
      "    ],\n",
      "    \"eps\": 1e-08\n",
      "  },\n",
      "  \"loss_kwargs\": {\n",
      "    \"class_name\": \"training.loss.StyleGAN2Loss\",\n",
      "    \"r1_gamma\": 3.2768\n",
      "  },\n",
      "  \"total_kimg\": 1000,\n",
      "  \"batch_size\": 16,\n",
      "  \"batch_gpu\": 8,\n",
      "  \"ema_kimg\": 5.0,\n",
      "  \"ema_rampup\": 0.05,\n",
      "  \"ada_target\": 0.6,\n",
      "  \"augment_kwargs\": {\n",
      "    \"class_name\": \"training.augment.AugmentPipe\",\n",
      "    \"xflip\": 1,\n",
      "    \"rotate90\": 1,\n",
      "    \"xint\": 1,\n",
      "    \"scale\": 1,\n",
      "    \"rotate\": 1,\n",
      "    \"aniso\": 1,\n",
      "    \"xfrac\": 1,\n",
      "    \"brightness\": 1,\n",
      "    \"contrast\": 1,\n",
      "    \"lumaflip\": 1,\n",
      "    \"hue\": 1,\n",
      "    \"saturation\": 1\n",
      "  },\n",
      "  \"run_dir\": \"./training-runs/00011-GAN_1000-auto2\"\n",
      "}\n",
      "\n",
      "Output directory:   ./training-runs/00011-GAN_1000-auto2\n",
      "Training data:      ./datasets/GAN_1000.zip\n",
      "Training duration:  1000 kimg\n",
      "Number of GPUs:     2\n",
      "Number of images:   1000\n",
      "Image resolution:   512\n",
      "Conditional model:  False\n",
      "Dataset x-flips:    False\n",
      "\n",
      "Creating output directory...\n",
      "Launching processes...\n",
      "Loading training set...\n",
      "\n",
      "Num images:  1000\n",
      "Image shape: [1, 512, 512]\n",
      "Label shape: [0]\n",
      "\n",
      "Constructing networks...\n",
      "Setting up PyTorch plugin \"bias_act_plugin\"... Done.\n",
      "Setting up PyTorch plugin \"upfirdn2d_plugin\"... Done.\n",
      "\n",
      "Generator             Parameters  Buffers  Output shape        Datatype\n",
      "---                   ---         ---      ---                 ---     \n",
      "mapping.fc0           262656      -        [8, 512]            float32 \n",
      "mapping.fc1           262656      -        [8, 512]            float32 \n",
      "mapping               -           512      [8, 16, 512]        float32 \n",
      "synthesis.b4.conv1    2622465     32       [8, 512, 4, 4]      float32 \n",
      "synthesis.b4.torgb    263169      -        [8, 1, 4, 4]        float32 \n",
      "synthesis.b4:0        8192        16       [8, 512, 4, 4]      float32 \n",
      "synthesis.b4:1        -           -        [8, 512, 4, 4]      float32 \n",
      "synthesis.b8.conv0    2622465     80       [8, 512, 8, 8]      float32 \n",
      "synthesis.b8.conv1    2622465     80       [8, 512, 8, 8]      float32 \n",
      "synthesis.b8.torgb    263169      -        [8, 1, 8, 8]        float32 \n",
      "synthesis.b8:0        -           16       [8, 512, 8, 8]      float32 \n",
      "synthesis.b8:1        -           -        [8, 512, 8, 8]      float32 \n",
      "synthesis.b16.conv0   2622465     272      [8, 512, 16, 16]    float32 \n",
      "synthesis.b16.conv1   2622465     272      [8, 512, 16, 16]    float32 \n",
      "synthesis.b16.torgb   263169      -        [8, 1, 16, 16]      float32 \n",
      "synthesis.b16:0       -           16       [8, 512, 16, 16]    float32 \n",
      "synthesis.b16:1       -           -        [8, 512, 16, 16]    float32 \n",
      "synthesis.b32.conv0   2622465     1040     [8, 512, 32, 32]    float32 \n",
      "synthesis.b32.conv1   2622465     1040     [8, 512, 32, 32]    float32 \n",
      "synthesis.b32.torgb   263169      -        [8, 1, 32, 32]      float32 \n",
      "synthesis.b32:0       -           16       [8, 512, 32, 32]    float32 \n",
      "synthesis.b32:1       -           -        [8, 512, 32, 32]    float32 \n",
      "synthesis.b64.conv0   2622465     4112     [8, 512, 64, 64]    float16 \n",
      "synthesis.b64.conv1   2622465     4112     [8, 512, 64, 64]    float16 \n",
      "synthesis.b64.torgb   263169      -        [8, 1, 64, 64]      float16 \n",
      "synthesis.b64:0       -           16       [8, 512, 64, 64]    float16 \n",
      "synthesis.b64:1       -           -        [8, 512, 64, 64]    float32 \n",
      "synthesis.b128.conv0  1442561     16400    [8, 256, 128, 128]  float16 \n",
      "synthesis.b128.conv1  721409      16400    [8, 256, 128, 128]  float16 \n",
      "synthesis.b128.torgb  131585      -        [8, 1, 128, 128]    float16 \n",
      "synthesis.b128:0      -           16       [8, 256, 128, 128]  float16 \n",
      "synthesis.b128:1      -           -        [8, 256, 128, 128]  float32 \n",
      "synthesis.b256.conv0  426369      65552    [8, 128, 256, 256]  float16 \n",
      "synthesis.b256.conv1  213249      65552    [8, 128, 256, 256]  float16 \n",
      "synthesis.b256.torgb  65793       -        [8, 1, 256, 256]    float16 \n",
      "synthesis.b256:0      -           16       [8, 128, 256, 256]  float16 \n",
      "synthesis.b256:1      -           -        [8, 128, 256, 256]  float32 \n",
      "synthesis.b512.conv0  139457      262160   [8, 64, 512, 512]   float16 \n",
      "synthesis.b512.conv1  69761       262160   [8, 64, 512, 512]   float16 \n",
      "synthesis.b512.torgb  32897       -        [8, 1, 512, 512]    float16 \n",
      "synthesis.b512:0      -           16       [8, 64, 512, 512]   float16 \n",
      "synthesis.b512:1      -           -        [8, 64, 512, 512]   float32 \n",
      "---                   ---         ---      ---                 ---     \n",
      "Total                 28694615    699904   -                   -       \n",
      "\n",
      "\n",
      "Discriminator  Parameters  Buffers  Output shape        Datatype\n",
      "---            ---         ---      ---                 ---     \n",
      "b512.fromrgb   128         16       [8, 64, 512, 512]   float16 \n",
      "b512.skip      8192        16       [8, 128, 256, 256]  float16 \n",
      "b512.conv0     36928       16       [8, 64, 512, 512]   float16 \n",
      "b512.conv1     73856       16       [8, 128, 256, 256]  float16 \n",
      "b512           -           16       [8, 128, 256, 256]  float16 \n",
      "b256.skip      32768       16       [8, 256, 128, 128]  float16 \n",
      "b256.conv0     147584      16       [8, 128, 256, 256]  float16 \n",
      "b256.conv1     295168      16       [8, 256, 128, 128]  float16 \n",
      "b256           -           16       [8, 256, 128, 128]  float16 \n",
      "b128.skip      131072      16       [8, 512, 64, 64]    float16 \n",
      "b128.conv0     590080      16       [8, 256, 128, 128]  float16 \n",
      "b128.conv1     1180160     16       [8, 512, 64, 64]    float16 \n",
      "b128           -           16       [8, 512, 64, 64]    float16 \n",
      "b64.skip       262144      16       [8, 512, 32, 32]    float16 \n",
      "b64.conv0      2359808     16       [8, 512, 64, 64]    float16 \n",
      "b64.conv1      2359808     16       [8, 512, 32, 32]    float16 \n",
      "b64            -           16       [8, 512, 32, 32]    float16 \n",
      "b32.skip       262144      16       [8, 512, 16, 16]    float32 \n",
      "b32.conv0      2359808     16       [8, 512, 32, 32]    float32 \n",
      "b32.conv1      2359808     16       [8, 512, 16, 16]    float32 \n",
      "b32            -           16       [8, 512, 16, 16]    float32 \n",
      "b16.skip       262144      16       [8, 512, 8, 8]      float32 \n",
      "b16.conv0      2359808     16       [8, 512, 16, 16]    float32 \n",
      "b16.conv1      2359808     16       [8, 512, 8, 8]      float32 \n",
      "b16            -           16       [8, 512, 8, 8]      float32 \n",
      "b8.skip        262144      16       [8, 512, 4, 4]      float32 \n",
      "b8.conv0       2359808     16       [8, 512, 8, 8]      float32 \n",
      "b8.conv1       2359808     16       [8, 512, 4, 4]      float32 \n",
      "b8             -           16       [8, 512, 4, 4]      float32 \n",
      "b4.mbstd       -           -        [8, 513, 4, 4]      float32 \n",
      "b4.conv        2364416     16       [8, 512, 4, 4]      float32 \n",
      "b4.fc          4194816     -        [8, 512]            float32 \n",
      "b4.out         513         -        [8, 1]              float32 \n",
      "---            ---         ---      ---                 ---     \n",
      "Total          28982721    480      -                   -       \n",
      "\n",
      "Setting up augmentation...\n",
      "Distributing across 2 GPUs...\n",
      "Setting up training phases...\n",
      "Exporting sample images...\n",
      "Initializing logs...\n",
      "2021-03-08 18:04:22.313996: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
      "Training for 1000 kimg...\n",
      "\n",
      "tick 0     kimg 0.0      time 19s          sec/tick 5.6     sec/kimg 353.01  maintenance 12.9   cpumem 4.81   gpumem 10.42  augment 0.000\n",
      "Evaluating metrics...\n",
      "{\"results\": {\"fid50k_full\": 383.61116058275707}, \"metric\": \"fid50k_full\", \"total_time\": 342.12948179244995, \"total_time_str\": \"5m 42s\", \"num_gpus\": 2, \"snapshot_pkl\": \"network-snapshot-000000.pkl\", \"timestamp\": 1615194616.0246882}\n",
      "tick 1     kimg 4.0      time 10m 35s      sec/tick 269.5   sec/kimg 67.36   maintenance 346.7  cpumem 5.00   gpumem 7.67   augment 0.004\n",
      "tick 2     kimg 8.0      time 15m 19s      sec/tick 284.2   sec/kimg 71.06   maintenance 0.3    cpumem 5.00   gpumem 7.67   augment 0.010\n",
      "tick 3     kimg 12.0     time 19m 57s      sec/tick 277.7   sec/kimg 69.43   maintenance 0.3    cpumem 5.00   gpumem 7.67   augment 0.016\n",
      "tick 4     kimg 16.0     time 24m 37s      sec/tick 279.1   sec/kimg 69.78   maintenance 0.3    cpumem 5.00   gpumem 7.67   augment 0.021\n",
      "tick 5     kimg 20.0     time 29m 17s      sec/tick 280.1   sec/kimg 70.01   maintenance 0.3    cpumem 5.00   gpumem 7.67   augment 0.021\n",
      "tick 6     kimg 24.0     time 33m 58s      sec/tick 281.1   sec/kimg 70.27   maintenance 0.3    cpumem 5.00   gpumem 7.67   augment 0.017\n",
      "tick 7     kimg 28.0     time 38m 39s      sec/tick 280.9   sec/kimg 70.23   maintenance 0.3    cpumem 5.00   gpumem 7.67   augment 0.017\n",
      "tick 8     kimg 32.0     time 43m 22s      sec/tick 282.5   sec/kimg 70.62   maintenance 0.3    cpumem 5.00   gpumem 7.67   augment 0.013\n",
      "tick 9     kimg 36.0     time 48m 05s      sec/tick 282.1   sec/kimg 70.52   maintenance 0.3    cpumem 5.00   gpumem 7.67   augment 0.011\n",
      "tick 10    kimg 40.0     time 52m 48s      sec/tick 282.9   sec/kimg 70.73   maintenance 0.3    cpumem 5.00   gpumem 7.67   augment 0.008\n",
      "tick 11    kimg 44.0     time 57m 30s      sec/tick 282.1   sec/kimg 70.54   maintenance 0.3    cpumem 5.00   gpumem 7.67   augment 0.003\n",
      "tick 12    kimg 48.0     time 1h 02m 13s   sec/tick 282.8   sec/kimg 70.69   maintenance 0.3    cpumem 5.00   gpumem 7.67   augment 0.000\n",
      "tick 13    kimg 52.0     time 1h 06m 56s   sec/tick 282.5   sec/kimg 70.63   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 14    kimg 56.0     time 1h 11m 39s   sec/tick 282.7   sec/kimg 70.66   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 15    kimg 60.0     time 1h 16m 22s   sec/tick 282.5   sec/kimg 70.63   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 16    kimg 64.0     time 1h 21m 05s   sec/tick 282.6   sec/kimg 70.65   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 17    kimg 68.0     time 1h 25m 46s   sec/tick 281.5   sec/kimg 70.37   maintenance 0.2    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 18    kimg 72.0     time 1h 30m 29s   sec/tick 282.2   sec/kimg 70.56   maintenance 0.3    cpumem 5.00   gpumem 7.65   augment 0.000\n",
      "tick 19    kimg 76.0     time 1h 35m 11s   sec/tick 281.5   sec/kimg 70.38   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 20    kimg 80.0     time 1h 39m 53s   sec/tick 282.1   sec/kimg 70.54   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 21    kimg 84.0     time 1h 44m 35s   sec/tick 281.7   sec/kimg 70.43   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 22    kimg 88.0     time 1h 49m 17s   sec/tick 281.3   sec/kimg 70.34   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 23    kimg 92.0     time 1h 53m 59s   sec/tick 281.7   sec/kimg 70.43   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 24    kimg 96.0     time 1h 58m 41s   sec/tick 282.1   sec/kimg 70.52   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 25    kimg 100.0    time 2h 03m 22s   sec/tick 280.9   sec/kimg 70.24   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 26    kimg 104.0    time 2h 08m 05s   sec/tick 282.0   sec/kimg 70.49   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 27    kimg 108.0    time 2h 12m 46s   sec/tick 281.0   sec/kimg 70.25   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 28    kimg 112.0    time 2h 17m 28s   sec/tick 281.8   sec/kimg 70.45   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 29    kimg 116.0    time 2h 22m 10s   sec/tick 281.5   sec/kimg 70.37   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 30    kimg 120.0    time 2h 26m 52s   sec/tick 281.5   sec/kimg 70.38   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 31    kimg 124.0    time 2h 31m 34s   sec/tick 281.8   sec/kimg 70.45   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 32    kimg 128.0    time 2h 36m 16s   sec/tick 281.9   sec/kimg 70.49   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 33    kimg 132.0    time 2h 40m 58s   sec/tick 281.3   sec/kimg 70.33   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 34    kimg 136.0    time 2h 45m 40s   sec/tick 282.0   sec/kimg 70.50   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 35    kimg 140.0    time 2h 50m 21s   sec/tick 281.4   sec/kimg 70.34   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 36    kimg 144.0    time 2h 55m 04s   sec/tick 282.3   sec/kimg 70.57   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 37    kimg 148.0    time 2h 59m 46s   sec/tick 282.0   sec/kimg 70.49   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 38    kimg 152.0    time 3h 04m 28s   sec/tick 281.7   sec/kimg 70.43   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 39    kimg 156.0    time 3h 09m 11s   sec/tick 282.0   sec/kimg 70.50   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 40    kimg 160.0    time 3h 13m 53s   sec/tick 282.1   sec/kimg 70.54   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 41    kimg 164.0    time 3h 18m 34s   sec/tick 281.2   sec/kimg 70.30   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 42    kimg 168.0    time 3h 23m 17s   sec/tick 282.3   sec/kimg 70.58   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 43    kimg 172.0    time 3h 27m 59s   sec/tick 281.5   sec/kimg 70.37   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 44    kimg 176.0    time 3h 32m 41s   sec/tick 282.4   sec/kimg 70.60   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 45    kimg 180.0    time 3h 37m 24s   sec/tick 282.3   sec/kimg 70.58   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 46    kimg 184.0    time 3h 42m 07s   sec/tick 282.2   sec/kimg 70.56   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 47    kimg 188.0    time 3h 46m 49s   sec/tick 282.5   sec/kimg 70.62   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 48    kimg 192.0    time 3h 51m 32s   sec/tick 282.6   sec/kimg 70.66   maintenance 0.3    cpumem 5.00   gpumem 7.64   augment 0.000\n",
      "tick 49    kimg 196.0    time 3h 56m 14s   sec/tick 281.8   sec/kimg 70.44   maintenance 0.3    cpumem 5.00   gpumem 7.65   augment 0.000\n",
      "tick 50    kimg 200.0    time 4h 00m 57s   sec/tick 282.6   sec/kimg 70.64   maintenance 0.3    cpumem 5.00   gpumem 7.66   augment 0.001\n",
      "Evaluating metrics...\n",
      "{\"results\": {\"fid50k_full\": 12.70859353176008}, \"metric\": \"fid50k_full\", \"total_time\": 376.62947726249695, \"total_time_str\": \"6m 17s\", \"num_gpus\": 2, \"snapshot_pkl\": \"network-snapshot-000200.pkl\", \"timestamp\": 1615209089.291451}\n",
      "tick 51    kimg 204.0    time 4h 12m 03s   sec/tick 284.1   sec/kimg 71.01   maintenance 381.3  cpumem 4.95   gpumem 7.66   augment 0.002\n",
      "tick 52    kimg 208.0    time 4h 16m 48s   sec/tick 285.1   sec/kimg 71.27   maintenance 0.3    cpumem 4.95   gpumem 7.67   augment 0.003\n",
      "tick 53    kimg 212.0    time 4h 21m 33s   sec/tick 284.7   sec/kimg 71.17   maintenance 0.3    cpumem 4.95   gpumem 7.67   augment 0.005\n",
      "tick 54    kimg 216.0    time 4h 26m 17s   sec/tick 284.3   sec/kimg 71.06   maintenance 0.3    cpumem 4.95   gpumem 7.67   augment 0.006\n",
      "tick 55    kimg 220.0    time 4h 31m 02s   sec/tick 284.3   sec/kimg 71.08   maintenance 0.3    cpumem 4.95   gpumem 7.67   augment 0.008\n",
      "tick 56    kimg 224.0    time 4h 35m 47s   sec/tick 284.9   sec/kimg 71.22   maintenance 0.3    cpumem 4.95   gpumem 7.67   augment 0.010\n",
      "tick 57    kimg 228.0    time 4h 40m 31s   sec/tick 284.0   sec/kimg 70.99   maintenance 0.3    cpumem 4.95   gpumem 7.67   augment 0.012\n",
      "tick 58    kimg 232.0    time 4h 45m 17s   sec/tick 284.8   sec/kimg 71.21   maintenance 0.3    cpumem 4.95   gpumem 7.69   augment 0.015\n",
      "tick 59    kimg 236.0    time 4h 50m 01s   sec/tick 283.8   sec/kimg 70.96   maintenance 0.3    cpumem 4.95   gpumem 7.67   augment 0.017\n",
      "tick 60    kimg 240.0    time 4h 54m 46s   sec/tick 284.9   sec/kimg 71.23   maintenance 0.3    cpumem 4.95   gpumem 7.68   augment 0.020\n",
      "tick 61    kimg 244.0    time 4h 59m 31s   sec/tick 284.4   sec/kimg 71.11   maintenance 0.3    cpumem 4.95   gpumem 7.68   augment 0.022\n",
      "tick 62    kimg 248.0    time 5h 04m 15s   sec/tick 284.2   sec/kimg 71.05   maintenance 0.3    cpumem 4.95   gpumem 7.68   augment 0.024\n",
      "tick 63    kimg 252.0    time 5h 09m 00s   sec/tick 284.4   sec/kimg 71.10   maintenance 0.3    cpumem 4.95   gpumem 7.68   augment 0.025\n",
      "tick 64    kimg 256.0    time 5h 13m 45s   sec/tick 285.0   sec/kimg 71.25   maintenance 0.3    cpumem 4.95   gpumem 7.67   augment 0.026\n",
      "tick 65    kimg 260.0    time 5h 18m 30s   sec/tick 284.4   sec/kimg 71.09   maintenance 0.3    cpumem 4.95   gpumem 7.67   augment 0.029\n",
      "tick 66    kimg 264.0    time 5h 23m 15s   sec/tick 284.9   sec/kimg 71.22   maintenance 0.3    cpumem 4.95   gpumem 7.67   augment 0.029\n",
      "tick 67    kimg 268.0    time 5h 27m 59s   sec/tick 284.1   sec/kimg 71.03   maintenance 0.3    cpumem 4.95   gpumem 7.68   augment 0.030\n",
      "tick 68    kimg 272.0    time 5h 32m 45s   sec/tick 284.9   sec/kimg 71.22   maintenance 0.3    cpumem 4.95   gpumem 7.67   augment 0.033\n",
      "tick 69    kimg 276.0    time 5h 37m 29s   sec/tick 284.5   sec/kimg 71.12   maintenance 0.3    cpumem 4.95   gpumem 7.67   augment 0.035\n",
      "tick 70    kimg 280.0    time 5h 42m 14s   sec/tick 284.1   sec/kimg 71.03   maintenance 0.3    cpumem 4.93   gpumem 7.67   augment 0.035\n",
      "tick 71    kimg 284.0    time 5h 46m 58s   sec/tick 284.5   sec/kimg 71.13   maintenance 0.3    cpumem 4.93   gpumem 7.67   augment 0.036\n",
      "tick 72    kimg 288.0    time 5h 51m 43s   sec/tick 284.7   sec/kimg 71.17   maintenance 0.3    cpumem 4.93   gpumem 7.67   augment 0.037\n",
      "tick 73    kimg 292.0    time 5h 56m 28s   sec/tick 284.0   sec/kimg 70.99   maintenance 0.3    cpumem 4.93   gpumem 7.68   augment 0.039\n",
      "tick 74    kimg 296.0    time 6h 01m 13s   sec/tick 284.6   sec/kimg 71.16   maintenance 0.3    cpumem 4.93   gpumem 7.68   augment 0.040\n",
      "tick 75    kimg 300.0    time 6h 05m 57s   sec/tick 284.0   sec/kimg 70.99   maintenance 0.3    cpumem 4.93   gpumem 7.68   augment 0.040\n",
      "tick 76    kimg 304.0    time 6h 10m 42s   sec/tick 285.1   sec/kimg 71.28   maintenance 0.3    cpumem 4.93   gpumem 7.69   augment 0.039\n",
      "tick 77    kimg 308.0    time 6h 15m 27s   sec/tick 284.7   sec/kimg 71.18   maintenance 0.3    cpumem 4.93   gpumem 7.67   augment 0.040\n",
      "tick 78    kimg 312.0    time 6h 20m 12s   sec/tick 284.1   sec/kimg 71.02   maintenance 0.3    cpumem 4.93   gpumem 7.68   augment 0.040\n",
      "tick 79    kimg 316.0    time 6h 24m 56s   sec/tick 284.1   sec/kimg 71.03   maintenance 0.3    cpumem 4.93   gpumem 7.68   augment 0.040\n",
      "tick 80    kimg 320.0    time 6h 29m 41s   sec/tick 284.5   sec/kimg 71.13   maintenance 0.3    cpumem 4.93   gpumem 7.68   augment 0.041\n",
      "tick 81    kimg 324.0    time 6h 34m 25s   sec/tick 283.5   sec/kimg 70.87   maintenance 0.3    cpumem 4.93   gpumem 7.67   augment 0.041\n",
      "tick 82    kimg 328.0    time 6h 39m 09s   sec/tick 284.3   sec/kimg 71.08   maintenance 0.3    cpumem 4.93   gpumem 7.70   augment 0.043\n",
      "tick 83    kimg 332.0    time 6h 43m 53s   sec/tick 283.5   sec/kimg 70.87   maintenance 0.3    cpumem 4.92   gpumem 7.69   augment 0.043\n",
      "tick 84    kimg 336.0    time 6h 48m 38s   sec/tick 284.3   sec/kimg 71.08   maintenance 0.3    cpumem 4.92   gpumem 7.68   augment 0.045\n",
      "tick 85    kimg 340.0    time 6h 53m 22s   sec/tick 284.1   sec/kimg 71.01   maintenance 0.3    cpumem 4.92   gpumem 7.68   augment 0.045\n",
      "tick 86    kimg 344.0    time 6h 58m 06s   sec/tick 284.1   sec/kimg 71.03   maintenance 0.3    cpumem 4.92   gpumem 7.68   augment 0.047\n",
      "tick 87    kimg 348.0    time 7h 02m 51s   sec/tick 284.4   sec/kimg 71.10   maintenance 0.3    cpumem 4.92   gpumem 7.69   augment 0.049\n",
      "tick 88    kimg 352.0    time 7h 07m 36s   sec/tick 284.4   sec/kimg 71.09   maintenance 0.3    cpumem 4.93   gpumem 7.68   augment 0.048\n",
      "tick 89    kimg 356.0    time 7h 12m 20s   sec/tick 283.5   sec/kimg 70.88   maintenance 0.3    cpumem 4.93   gpumem 7.68   augment 0.047\n",
      "tick 90    kimg 360.0    time 7h 17m 04s   sec/tick 284.3   sec/kimg 71.09   maintenance 0.3    cpumem 4.93   gpumem 7.68   augment 0.047\n",
      "tick 91    kimg 364.0    time 7h 21m 48s   sec/tick 283.6   sec/kimg 70.89   maintenance 0.3    cpumem 4.93   gpumem 7.69   augment 0.047\n",
      "tick 92    kimg 368.0    time 7h 26m 33s   sec/tick 284.4   sec/kimg 71.10   maintenance 0.3    cpumem 4.92   gpumem 7.68   augment 0.049\n",
      "tick 93    kimg 372.0    time 7h 31m 17s   sec/tick 283.9   sec/kimg 70.97   maintenance 0.3    cpumem 4.92   gpumem 7.69   augment 0.050\n",
      "tick 94    kimg 376.0    time 7h 36m 01s   sec/tick 283.7   sec/kimg 70.93   maintenance 0.3    cpumem 4.92   gpumem 7.69   augment 0.050\n",
      "tick 95    kimg 380.0    time 7h 40m 45s   sec/tick 283.8   sec/kimg 70.96   maintenance 0.3    cpumem 4.92   gpumem 7.68   augment 0.051\n",
      "tick 96    kimg 384.0    time 7h 45m 30s   sec/tick 284.4   sec/kimg 71.09   maintenance 0.3    cpumem 4.92   gpumem 7.72   augment 0.052\n",
      "tick 97    kimg 388.0    time 7h 50m 13s   sec/tick 283.5   sec/kimg 70.87   maintenance 0.3    cpumem 4.92   gpumem 7.68   augment 0.052\n",
      "tick 98    kimg 392.0    time 7h 54m 58s   sec/tick 284.5   sec/kimg 71.12   maintenance 0.3    cpumem 4.92   gpumem 7.68   augment 0.053\n",
      "tick 99    kimg 396.0    time 7h 59m 42s   sec/tick 283.5   sec/kimg 70.88   maintenance 0.3    cpumem 4.92   gpumem 7.68   augment 0.053\n",
      "tick 100   kimg 400.0    time 8h 04m 27s   sec/tick 284.2   sec/kimg 71.06   maintenance 0.3    cpumem 4.92   gpumem 7.68   augment 0.054\n",
      "Evaluating metrics...\n",
      "{\"results\": {\"fid50k_full\": 20.565336278291557}, \"metric\": \"fid50k_full\", \"total_time\": 382.0998079776764, \"total_time_str\": \"6m 22s\", \"num_gpus\": 2, \"snapshot_pkl\": \"network-snapshot-000400.pkl\", \"timestamp\": 1615223704.0364451}\n",
      "tick 101   kimg 404.0    time 8h 15m 37s   sec/tick 284.0   sec/kimg 71.00   maintenance 386.7  cpumem 4.97   gpumem 7.67   augment 0.053\n",
      "tick 102   kimg 408.0    time 8h 20m 20s   sec/tick 282.4   sec/kimg 70.60   maintenance 0.3    cpumem 4.97   gpumem 7.68   augment 0.054\n",
      "tick 103   kimg 412.0    time 8h 25m 02s   sec/tick 282.1   sec/kimg 70.53   maintenance 0.3    cpumem 4.97   gpumem 7.68   augment 0.053\n",
      "tick 104   kimg 416.0    time 8h 29m 45s   sec/tick 282.4   sec/kimg 70.59   maintenance 0.3    cpumem 4.97   gpumem 7.68   augment 0.052\n",
      "tick 105   kimg 420.0    time 8h 34m 27s   sec/tick 281.5   sec/kimg 70.38   maintenance 0.3    cpumem 4.97   gpumem 7.68   augment 0.052\n",
      "tick 106   kimg 424.0    time 8h 39m 10s   sec/tick 282.6   sec/kimg 70.64   maintenance 0.3    cpumem 4.97   gpumem 7.69   augment 0.053\n",
      "tick 107   kimg 428.0    time 8h 43m 52s   sec/tick 281.7   sec/kimg 70.42   maintenance 0.3    cpumem 4.97   gpumem 7.70   augment 0.054\n",
      "tick 108   kimg 432.0    time 8h 48m 34s   sec/tick 282.4   sec/kimg 70.59   maintenance 0.3    cpumem 4.97   gpumem 7.68   augment 0.054\n",
      "tick 109   kimg 436.0    time 8h 53m 17s   sec/tick 282.1   sec/kimg 70.53   maintenance 0.3    cpumem 4.97   gpumem 7.71   augment 0.054\n",
      "tick 110   kimg 440.0    time 8h 57m 59s   sec/tick 281.8   sec/kimg 70.45   maintenance 0.3    cpumem 4.97   gpumem 7.69   augment 0.055\n",
      "tick 111   kimg 444.0    time 9h 02m 41s   sec/tick 282.1   sec/kimg 70.51   maintenance 0.3    cpumem 4.97   gpumem 7.68   augment 0.056\n",
      "tick 112   kimg 448.0    time 9h 07m 24s   sec/tick 282.4   sec/kimg 70.59   maintenance 0.3    cpumem 4.97   gpumem 7.70   augment 0.056\n",
      "tick 113   kimg 452.0    time 9h 12m 05s   sec/tick 281.2   sec/kimg 70.31   maintenance 0.3    cpumem 4.97   gpumem 7.70   augment 0.056\n",
      "tick 114   kimg 456.0    time 9h 16m 48s   sec/tick 282.3   sec/kimg 70.58   maintenance 0.3    cpumem 4.97   gpumem 7.69   augment 0.056\n",
      "tick 115   kimg 460.0    time 9h 21m 30s   sec/tick 281.4   sec/kimg 70.35   maintenance 0.3    cpumem 4.97   gpumem 7.68   augment 0.054\n",
      "tick 116   kimg 464.0    time 9h 26m 12s   sec/tick 282.2   sec/kimg 70.56   maintenance 0.3    cpumem 4.97   gpumem 7.68   augment 0.054\n",
      "tick 117   kimg 468.0    time 9h 30m 54s   sec/tick 282.1   sec/kimg 70.52   maintenance 0.3    cpumem 4.97   gpumem 7.69   augment 0.055\n",
      "tick 118   kimg 472.0    time 9h 35m 37s   sec/tick 282.0   sec/kimg 70.50   maintenance 0.3    cpumem 4.97   gpumem 7.70   augment 0.057\n",
      "tick 119   kimg 476.0    time 9h 40m 19s   sec/tick 281.9   sec/kimg 70.47   maintenance 0.3    cpumem 4.97   gpumem 7.69   augment 0.057\n",
      "tick 120   kimg 480.0    time 9h 45m 01s   sec/tick 282.2   sec/kimg 70.54   maintenance 0.3    cpumem 4.97   gpumem 7.71   augment 0.055\n",
      "tick 121   kimg 484.0    time 9h 49m 43s   sec/tick 281.5   sec/kimg 70.38   maintenance 0.3    cpumem 4.96   gpumem 7.70   augment 0.056\n",
      "tick 122   kimg 488.0    time 9h 54m 26s   sec/tick 282.6   sec/kimg 70.64   maintenance 0.3    cpumem 4.96   gpumem 7.71   augment 0.056\n",
      "tick 123   kimg 492.0    time 9h 59m 08s   sec/tick 281.6   sec/kimg 70.40   maintenance 0.3    cpumem 4.96   gpumem 7.68   augment 0.056\n",
      "tick 124   kimg 496.0    time 10h 03m 51s  sec/tick 282.3   sec/kimg 70.57   maintenance 0.3    cpumem 4.96   gpumem 7.69   augment 0.055\n",
      "tick 125   kimg 500.0    time 10h 08m 33s  sec/tick 282.0   sec/kimg 70.49   maintenance 0.3    cpumem 4.96   gpumem 7.68   augment 0.056\n",
      "tick 126   kimg 504.0    time 10h 13m 15s  sec/tick 281.6   sec/kimg 70.39   maintenance 0.3    cpumem 4.96   gpumem 7.72   augment 0.057\n",
      "tick 127   kimg 508.0    time 10h 17m 57s  sec/tick 281.9   sec/kimg 70.48   maintenance 0.3    cpumem 4.96   gpumem 7.70   augment 0.058\n",
      "tick 128   kimg 512.0    time 10h 22m 40s  sec/tick 282.5   sec/kimg 70.63   maintenance 0.3    cpumem 4.96   gpumem 7.69   augment 0.057\n",
      "tick 129   kimg 516.0    time 10h 27m 21s  sec/tick 281.4   sec/kimg 70.35   maintenance 0.3    cpumem 4.96   gpumem 7.68   augment 0.057\n",
      "tick 130   kimg 520.0    time 10h 32m 04s  sec/tick 282.5   sec/kimg 70.63   maintenance 0.3    cpumem 4.96   gpumem 7.73   augment 0.058\n",
      "tick 131   kimg 524.0    time 10h 36m 46s  sec/tick 281.8   sec/kimg 70.44   maintenance 0.3    cpumem 4.96   gpumem 7.70   augment 0.059\n",
      "tick 132   kimg 528.0    time 10h 41m 29s  sec/tick 282.6   sec/kimg 70.65   maintenance 0.3    cpumem 4.96   gpumem 7.70   augment 0.059\n",
      "tick 133   kimg 532.0    time 10h 46m 11s  sec/tick 282.0   sec/kimg 70.51   maintenance 0.3    cpumem 4.96   gpumem 7.70   augment 0.059\n",
      "tick 134   kimg 536.0    time 10h 50m 54s  sec/tick 281.9   sec/kimg 70.47   maintenance 0.3    cpumem 4.96   gpumem 7.70   augment 0.059\n",
      "tick 135   kimg 540.0    time 10h 55m 36s  sec/tick 282.3   sec/kimg 70.58   maintenance 0.3    cpumem 4.96   gpumem 7.69   augment 0.059\n",
      "tick 136   kimg 544.0    time 11h 00m 19s  sec/tick 282.5   sec/kimg 70.62   maintenance 0.3    cpumem 4.96   gpumem 7.69   augment 0.058\n",
      "tick 137   kimg 548.0    time 11h 05m 00s  sec/tick 281.3   sec/kimg 70.32   maintenance 0.3    cpumem 4.96   gpumem 7.70   augment 0.058\n",
      "tick 138   kimg 552.0    time 11h 09m 43s  sec/tick 282.3   sec/kimg 70.57   maintenance 0.3    cpumem 4.96   gpumem 7.71   augment 0.059\n",
      "tick 139   kimg 556.0    time 11h 14m 25s  sec/tick 281.7   sec/kimg 70.42   maintenance 0.3    cpumem 4.96   gpumem 7.69   augment 0.060\n",
      "tick 140   kimg 560.0    time 11h 19m 08s  sec/tick 282.3   sec/kimg 70.57   maintenance 0.3    cpumem 4.96   gpumem 7.69   augment 0.061\n",
      "tick 141   kimg 564.0    time 11h 23m 50s  sec/tick 281.7   sec/kimg 70.43   maintenance 0.3    cpumem 4.96   gpumem 7.70   augment 0.060\n",
      "tick 142   kimg 568.0    time 11h 28m 31s  sec/tick 281.6   sec/kimg 70.39   maintenance 0.3    cpumem 4.96   gpumem 7.68   augment 0.060\n",
      "tick 143   kimg 572.0    time 11h 33m 13s  sec/tick 281.7   sec/kimg 70.43   maintenance 0.3    cpumem 4.96   gpumem 7.70   augment 0.060\n",
      "tick 144   kimg 576.0    time 11h 37m 56s  sec/tick 282.3   sec/kimg 70.57   maintenance 0.3    cpumem 4.95   gpumem 7.68   augment 0.060\n",
      "tick 145   kimg 580.0    time 11h 42m 37s  sec/tick 280.9   sec/kimg 70.24   maintenance 0.3    cpumem 4.95   gpumem 7.68   augment 0.059\n",
      "tick 146   kimg 584.0    time 11h 47m 19s  sec/tick 281.9   sec/kimg 70.47   maintenance 0.3    cpumem 4.96   gpumem 7.71   augment 0.061\n",
      "tick 147   kimg 588.0    time 11h 52m 01s  sec/tick 281.2   sec/kimg 70.29   maintenance 0.3    cpumem 4.96   gpumem 7.69   augment 0.061\n",
      "tick 148   kimg 592.0    time 11h 56m 43s  sec/tick 281.9   sec/kimg 70.48   maintenance 0.3    cpumem 4.96   gpumem 7.68   augment 0.062\n",
      "tick 149   kimg 596.0    time 12h 01m 25s  sec/tick 281.7   sec/kimg 70.43   maintenance 0.3    cpumem 4.96   gpumem 7.71   augment 0.063\n",
      "tick 150   kimg 600.0    time 12h 06m 06s  sec/tick 281.2   sec/kimg 70.29   maintenance 0.3    cpumem 4.96   gpumem 7.69   augment 0.061\n",
      "Evaluating metrics...\n",
      "{\"results\": {\"fid50k_full\": 20.51166223187922}, \"metric\": \"fid50k_full\", \"total_time\": 383.3137731552124, \"total_time_str\": \"6m 23s\", \"num_gpus\": 2, \"snapshot_pkl\": \"network-snapshot-000600.pkl\", \"timestamp\": 1615238205.299254}\n",
      "tick 151   kimg 604.0    time 12h 17m 18s  sec/tick 284.0   sec/kimg 71.00   maintenance 388.0  cpumem 4.97   gpumem 7.75   augment 0.062\n",
      "tick 152   kimg 608.0    time 12h 22m 05s  sec/tick 286.7   sec/kimg 71.67   maintenance 0.3    cpumem 4.97   gpumem 7.70   augment 0.063\n",
      "tick 153   kimg 612.0    time 12h 26m 51s  sec/tick 285.6   sec/kimg 71.40   maintenance 0.3    cpumem 4.97   gpumem 7.69   augment 0.063\n",
      "tick 154   kimg 616.0    time 12h 31m 38s  sec/tick 286.3   sec/kimg 71.58   maintenance 0.3    cpumem 4.97   gpumem 7.71   augment 0.062\n",
      "tick 155   kimg 620.0    time 12h 36m 24s  sec/tick 285.5   sec/kimg 71.38   maintenance 0.3    cpumem 4.97   gpumem 7.69   augment 0.063\n",
      "tick 156   kimg 624.0    time 12h 41m 10s  sec/tick 286.3   sec/kimg 71.58   maintenance 0.3    cpumem 4.97   gpumem 7.71   augment 0.063\n",
      "tick 157   kimg 628.0    time 12h 45m 57s  sec/tick 286.1   sec/kimg 71.53   maintenance 0.3    cpumem 4.94   gpumem 7.70   augment 0.063\n",
      "tick 158   kimg 632.0    time 12h 50m 43s  sec/tick 285.8   sec/kimg 71.46   maintenance 0.3    cpumem 4.94   gpumem 7.70   augment 0.060\n",
      "tick 159   kimg 636.0    time 12h 55m 29s  sec/tick 285.8   sec/kimg 71.45   maintenance 0.3    cpumem 4.94   gpumem 7.69   augment 0.061\n",
      "tick 160   kimg 640.0    time 13h 00m 15s  sec/tick 286.1   sec/kimg 71.52   maintenance 0.3    cpumem 4.94   gpumem 7.70   augment 0.062\n",
      "tick 161   kimg 644.0    time 13h 05m 01s  sec/tick 285.4   sec/kimg 71.34   maintenance 0.3    cpumem 4.94   gpumem 7.70   augment 0.062\n",
      "tick 162   kimg 648.0    time 13h 09m 48s  sec/tick 286.3   sec/kimg 71.56   maintenance 0.3    cpumem 4.94   gpumem 7.70   augment 0.061\n",
      "tick 163   kimg 652.0    time 13h 14m 33s  sec/tick 285.3   sec/kimg 71.31   maintenance 0.3    cpumem 4.94   gpumem 7.69   augment 0.061\n",
      "tick 164   kimg 656.0    time 13h 19m 19s  sec/tick 285.9   sec/kimg 71.47   maintenance 0.3    cpumem 4.94   gpumem 7.69   augment 0.059\n",
      "tick 165   kimg 660.0    time 13h 24m 05s  sec/tick 285.6   sec/kimg 71.40   maintenance 0.3    cpumem 4.94   gpumem 7.68   augment 0.060\n",
      "tick 166   kimg 664.0    time 13h 28m 51s  sec/tick 285.8   sec/kimg 71.45   maintenance 0.3    cpumem 4.94   gpumem 7.69   augment 0.061\n",
      "tick 167   kimg 668.0    time 13h 33m 37s  sec/tick 285.6   sec/kimg 71.39   maintenance 0.3    cpumem 4.94   gpumem 7.70   augment 0.062\n",
      "tick 168   kimg 672.0    time 13h 38m 24s  sec/tick 286.0   sec/kimg 71.51   maintenance 0.3    cpumem 4.94   gpumem 7.69   augment 0.061\n",
      "tick 169   kimg 676.0    time 13h 43m 09s  sec/tick 285.4   sec/kimg 71.34   maintenance 0.3    cpumem 4.94   gpumem 7.69   augment 0.060\n",
      "tick 170   kimg 680.0    time 13h 47m 56s  sec/tick 286.2   sec/kimg 71.55   maintenance 0.3    cpumem 4.94   gpumem 7.70   augment 0.061\n",
      "tick 171   kimg 684.0    time 13h 52m 41s  sec/tick 285.5   sec/kimg 71.37   maintenance 0.3    cpumem 4.94   gpumem 7.69   augment 0.061\n",
      "tick 172   kimg 688.0    time 13h 57m 28s  sec/tick 286.2   sec/kimg 71.55   maintenance 0.3    cpumem 4.88   gpumem 7.71   augment 0.062\n",
      "tick 173   kimg 692.0    time 14h 02m 14s  sec/tick 285.8   sec/kimg 71.44   maintenance 0.3    cpumem 4.88   gpumem 7.71   augment 0.061\n",
      "tick 174   kimg 696.0    time 14h 07m 00s  sec/tick 285.4   sec/kimg 71.35   maintenance 0.3    cpumem 4.88   gpumem 7.72   augment 0.062\n",
      "tick 175   kimg 700.0    time 14h 11m 46s  sec/tick 285.8   sec/kimg 71.44   maintenance 0.3    cpumem 4.88   gpumem 7.71   augment 0.063\n",
      "tick 176   kimg 704.0    time 14h 16m 32s  sec/tick 286.5   sec/kimg 71.62   maintenance 0.3    cpumem 4.88   gpumem 7.69   augment 0.063\n",
      "tick 177   kimg 708.0    time 14h 21m 18s  sec/tick 285.6   sec/kimg 71.41   maintenance 0.3    cpumem 4.88   gpumem 7.70   augment 0.061\n",
      "tick 178   kimg 712.0    time 14h 26m 05s  sec/tick 286.5   sec/kimg 71.62   maintenance 0.3    cpumem 4.88   gpumem 7.70   augment 0.063\n",
      "tick 179   kimg 716.0    time 14h 30m 51s  sec/tick 285.3   sec/kimg 71.31   maintenance 0.3    cpumem 4.88   gpumem 7.69   augment 0.063\n",
      "tick 180   kimg 720.0    time 14h 35m 37s  sec/tick 286.2   sec/kimg 71.54   maintenance 0.3    cpumem 4.88   gpumem 7.69   augment 0.062\n",
      "tick 181   kimg 724.0    time 14h 40m 23s  sec/tick 286.0   sec/kimg 71.49   maintenance 0.3    cpumem 4.88   gpumem 7.69   augment 0.064\n",
      "tick 182   kimg 728.0    time 14h 45m 10s  sec/tick 286.0   sec/kimg 71.49   maintenance 0.3    cpumem 4.88   gpumem 7.71   augment 0.065\n",
      "tick 183   kimg 732.0    time 14h 49m 56s  sec/tick 286.1   sec/kimg 71.53   maintenance 0.3    cpumem 4.88   gpumem 7.69   augment 0.066\n",
      "tick 184   kimg 736.0    time 14h 54m 43s  sec/tick 286.3   sec/kimg 71.57   maintenance 0.3    cpumem 4.88   gpumem 7.69   augment 0.063\n",
      "tick 185   kimg 740.0    time 14h 59m 28s  sec/tick 285.2   sec/kimg 71.31   maintenance 0.3    cpumem 4.88   gpumem 7.69   augment 0.062\n",
      "tick 186   kimg 744.0    time 15h 04m 14s  sec/tick 285.9   sec/kimg 71.47   maintenance 0.3    cpumem 4.88   gpumem 7.71   augment 0.063\n",
      "tick 187   kimg 748.0    time 15h 09m 00s  sec/tick 285.4   sec/kimg 71.35   maintenance 0.3    cpumem 4.81   gpumem 7.71   augment 0.064\n",
      "tick 188   kimg 752.0    time 15h 13m 46s  sec/tick 286.1   sec/kimg 71.53   maintenance 0.3    cpumem 4.81   gpumem 7.71   augment 0.066\n",
      "tick 189   kimg 756.0    time 15h 18m 32s  sec/tick 285.4   sec/kimg 71.35   maintenance 0.3    cpumem 4.81   gpumem 7.69   augment 0.065\n",
      "tick 190   kimg 760.0    time 15h 23m 18s  sec/tick 285.3   sec/kimg 71.34   maintenance 0.3    cpumem 4.81   gpumem 7.70   augment 0.067\n",
      "tick 191   kimg 764.0    time 15h 28m 04s  sec/tick 285.9   sec/kimg 71.48   maintenance 0.3    cpumem 4.81   gpumem 7.70   augment 0.066\n"
     ]
    }
   ],
   "source": [
    "!python train.py --outdir=./training-runs --data=./datasets/0323oiaclassify1.zip  --gpus=2 --cfg=auto \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!python generate_gray.py --outdir=./output_folder --seeds=number of seeds --network= path to netwrok "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading networks from \"./training-runs/00000-sunh-auto2-kimg1000/network-snapshot-000800.pkl\"...\n",
      "Generating image for seed 0 (0/1001) ...\n",
      "Setting up PyTorch plugin \"bias_act_plugin\"... Done.\n",
      "Setting up PyTorch plugin \"upfirdn2d_plugin\"... Done.\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 1 (1/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 2 (2/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 3 (3/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 4 (4/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 5 (5/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 6 (6/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 7 (7/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 8 (8/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 9 (9/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 10 (10/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 11 (11/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 12 (12/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 13 (13/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 14 (14/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 15 (15/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 16 (16/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 17 (17/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 18 (18/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 19 (19/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 20 (20/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 21 (21/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 22 (22/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 23 (23/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 24 (24/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 25 (25/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 26 (26/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 27 (27/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 28 (28/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 29 (29/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 30 (30/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 31 (31/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 32 (32/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 33 (33/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 34 (34/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 35 (35/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 36 (36/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 37 (37/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 38 (38/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 39 (39/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 40 (40/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 41 (41/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 42 (42/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 43 (43/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 44 (44/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 45 (45/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 46 (46/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 47 (47/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 48 (48/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 49 (49/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 50 (50/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 51 (51/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 52 (52/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 53 (53/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 54 (54/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 55 (55/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 56 (56/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 57 (57/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 58 (58/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 59 (59/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 60 (60/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 61 (61/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 62 (62/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 63 (63/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 64 (64/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 65 (65/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 66 (66/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 67 (67/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 68 (68/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 69 (69/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 70 (70/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 71 (71/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 72 (72/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 73 (73/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 74 (74/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 75 (75/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 76 (76/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 77 (77/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 78 (78/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 79 (79/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 80 (80/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 81 (81/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 82 (82/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 83 (83/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 84 (84/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 85 (85/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 86 (86/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 87 (87/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 88 (88/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 89 (89/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 90 (90/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 91 (91/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 92 (92/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 93 (93/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 94 (94/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 95 (95/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 96 (96/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 97 (97/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 98 (98/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 99 (99/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 100 (100/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 101 (101/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 102 (102/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 103 (103/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 104 (104/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 105 (105/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 106 (106/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 107 (107/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 108 (108/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 109 (109/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 110 (110/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 111 (111/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 112 (112/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 113 (113/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 114 (114/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 115 (115/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 116 (116/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 117 (117/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 118 (118/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 119 (119/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 120 (120/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 121 (121/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 122 (122/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 123 (123/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 124 (124/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 125 (125/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 126 (126/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 127 (127/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 128 (128/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 129 (129/1001) ...\n",
      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
      "Generating image for seed 135 (135/1001) ...\n",
      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
      "Generating image for seed 138 (138/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 139 (139/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 140 (140/1001) ...\n",
      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
      "Generating image for seed 142 (142/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 143 (143/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 144 (144/1001) ...\n",
      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
      "Generating image for seed 150 (150/1001) ...\n",
      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
      "Generating image for seed 152 (152/1001) ...\n",
      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
      "Generating image for seed 154 (154/1001) ...\n",
      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
      "Generating image for seed 157 (157/1001) ...\n",
      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
      "Generating image for seed 159 (159/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 160 (160/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 161 (161/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 162 (162/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 163 (163/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 164 (164/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 165 (165/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 166 (166/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 167 (167/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 168 (168/1001) ...\n",
      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
      "Generating image for seed 859 (859/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 860 (860/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 861 (861/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 862 (862/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 863 (863/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 864 (864/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 865 (865/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 866 (866/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 867 (867/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 868 (868/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 869 (869/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 870 (870/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 871 (871/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 872 (872/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 873 (873/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 874 (874/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 875 (875/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 876 (876/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 877 (877/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 878 (878/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 879 (879/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 880 (880/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 881 (881/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 882 (882/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 883 (883/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 884 (884/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 885 (885/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 886 (886/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 887 (887/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 888 (888/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 889 (889/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 890 (890/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 891 (891/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 892 (892/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 893 (893/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 894 (894/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 895 (895/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 896 (896/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 897 (897/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 898 (898/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 899 (899/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 900 (900/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 901 (901/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 902 (902/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 903 (903/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 904 (904/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 905 (905/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 906 (906/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 907 (907/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 908 (908/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 909 (909/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 910 (910/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 911 (911/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 912 (912/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 913 (913/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 914 (914/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 915 (915/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 916 (916/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 917 (917/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 918 (918/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 919 (919/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 920 (920/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 921 (921/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 922 (922/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 923 (923/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 924 (924/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 925 (925/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 926 (926/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 927 (927/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 928 (928/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 929 (929/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 930 (930/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 931 (931/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 932 (932/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 933 (933/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 934 (934/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 935 (935/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 936 (936/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 937 (937/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 938 (938/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 939 (939/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 940 (940/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 941 (941/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 942 (942/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 943 (943/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 944 (944/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 945 (945/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 946 (946/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 947 (947/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 948 (948/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 949 (949/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 950 (950/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 951 (951/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 952 (952/1001) ...\n",
      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
      "Generating image for seed 954 (954/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 955 (955/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 956 (956/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 957 (957/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 958 (958/1001) ...\n",
      "torch.Size([512, 512])\n",
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      "torch.Size([512, 512])\n",
      "Generating image for seed 960 (960/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 961 (961/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 962 (962/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 963 (963/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 964 (964/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 965 (965/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 966 (966/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 967 (967/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 968 (968/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 969 (969/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 970 (970/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 971 (971/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 972 (972/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 973 (973/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 974 (974/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 975 (975/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 976 (976/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 977 (977/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 978 (978/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 979 (979/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 980 (980/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 981 (981/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 982 (982/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 983 (983/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 984 (984/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 985 (985/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 986 (986/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 987 (987/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 988 (988/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 989 (989/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 990 (990/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 991 (991/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 992 (992/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 993 (993/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 994 (994/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 995 (995/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 996 (996/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 997 (997/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 998 (998/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 999 (999/1001) ...\n",
      "torch.Size([512, 512])\n",
      "Generating image for seed 1000 (1000/1001) ...\n",
      "torch.Size([512, 512])\n"
     ]
    }
   ],
   "source": [
    "!python generate_gray.py --outdir=./output --seeds=0-1000 --network=./training-runs/00000-sunh-auto2-kimg1000/network-snapshot-000800.pkl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calc_metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading network from \"./training-runs/00000-sunh-auto2-kimg1000/network-snapshot-001000.pkl\"...\n",
      "Dataset options:\n",
      "{\n",
      "  \"class_name\": \"training.dataset.ImageFolderDataset\",\n",
      "  \"path\": \"./datasets/sunh.zip\",\n",
      "  \"resolution\": 512,\n",
      "  \"use_labels\": false,\n",
      "  \"xflip\": true\n",
      "}\n",
      "Launching processes...\n",
      "Setting up PyTorch plugin \"bias_act_plugin\"... Done.\n",
      "Setting up PyTorch plugin \"upfirdn2d_plugin\"... Done.\n",
      "\n",
      "Generator             Parameters  Buffers  Output shape        Datatype\n",
      "---                   ---         ---      ---                 ---     \n",
      "mapping.fc0           262656      -        [1, 512]            float32 \n",
      "mapping.fc1           262656      -        [1, 512]            float32 \n",
      "mapping               -           512      [1, 16, 512]        float32 \n",
      "synthesis.b4.conv1    2622465     32       [1, 512, 4, 4]      float32 \n",
      "synthesis.b4.torgb    263169      -        [1, 1, 4, 4]        float32 \n",
      "synthesis.b4:0        8192        16       [1, 512, 4, 4]      float32 \n",
      "synthesis.b4:1        -           -        [1, 512, 4, 4]      float32 \n",
      "synthesis.b8.conv0    2622465     80       [1, 512, 8, 8]      float32 \n",
      "synthesis.b8.conv1    2622465     80       [1, 512, 8, 8]      float32 \n",
      "synthesis.b8.torgb    263169      -        [1, 1, 8, 8]        float32 \n",
      "synthesis.b8:0        -           16       [1, 512, 8, 8]      float32 \n",
      "synthesis.b8:1        -           -        [1, 512, 8, 8]      float32 \n",
      "synthesis.b16.conv0   2622465     272      [1, 512, 16, 16]    float32 \n",
      "synthesis.b16.conv1   2622465     272      [1, 512, 16, 16]    float32 \n",
      "synthesis.b16.torgb   263169      -        [1, 1, 16, 16]      float32 \n",
      "synthesis.b16:0       -           16       [1, 512, 16, 16]    float32 \n",
      "synthesis.b16:1       -           -        [1, 512, 16, 16]    float32 \n",
      "synthesis.b32.conv0   2622465     1040     [1, 512, 32, 32]    float32 \n",
      "synthesis.b32.conv1   2622465     1040     [1, 512, 32, 32]    float32 \n",
      "synthesis.b32.torgb   263169      -        [1, 1, 32, 32]      float32 \n",
      "synthesis.b32:0       -           16       [1, 512, 32, 32]    float32 \n",
      "synthesis.b32:1       -           -        [1, 512, 32, 32]    float32 \n",
      "synthesis.b64.conv0   2622465     4112     [1, 512, 64, 64]    float16 \n",
      "synthesis.b64.conv1   2622465     4112     [1, 512, 64, 64]    float16 \n",
      "synthesis.b64.torgb   263169      -        [1, 1, 64, 64]      float16 \n",
      "synthesis.b64:0       -           16       [1, 512, 64, 64]    float16 \n",
      "synthesis.b64:1       -           -        [1, 512, 64, 64]    float32 \n",
      "synthesis.b128.conv0  1442561     16400    [1, 256, 128, 128]  float16 \n",
      "synthesis.b128.conv1  721409      16400    [1, 256, 128, 128]  float16 \n",
      "synthesis.b128.torgb  131585      -        [1, 1, 128, 128]    float16 \n",
      "synthesis.b128:0      -           16       [1, 256, 128, 128]  float16 \n",
      "synthesis.b128:1      -           -        [1, 256, 128, 128]  float32 \n",
      "synthesis.b256.conv0  426369      65552    [1, 128, 256, 256]  float16 \n",
      "synthesis.b256.conv1  213249      65552    [1, 128, 256, 256]  float16 \n",
      "synthesis.b256.torgb  65793       -        [1, 1, 256, 256]    float16 \n",
      "synthesis.b256:0      -           16       [1, 128, 256, 256]  float16 \n",
      "synthesis.b256:1      -           -        [1, 128, 256, 256]  float32 \n",
      "synthesis.b512.conv0  139457      262160   [1, 64, 512, 512]   float16 \n",
      "synthesis.b512.conv1  69761       262160   [1, 64, 512, 512]   float16 \n",
      "synthesis.b512.torgb  32897       -        [1, 1, 512, 512]    float16 \n",
      "synthesis.b512:0      -           16       [1, 64, 512, 512]   float16 \n",
      "synthesis.b512:1      -           -        [1, 64, 512, 512]   float32 \n",
      "---                   ---         ---      ---                 ---     \n",
      "Total                 28694615    699904   -                   -       \n",
      "\n",
      "Calculating fid50k_full...\n",
      "dataset features    items 1024    time 9s           ms/item 8.36\n",
      "dataset features    items 2048    time 12s          ms/item 3.45\n",
      "dataset features    items 3072    time 15s          ms/item 3.22\n",
      "dataset features    items 4096    time 19s          ms/item 3.29\n",
      "dataset features    items 5120    time 22s          ms/item 3.27\n",
      "dataset features    items 6144    time 26s          ms/item 3.38\n",
      "dataset features    items 7168    time 29s          ms/item 3.24\n",
      "dataset features    items 8192    time 32s          ms/item 3.29\n",
      "dataset features    items 9216    time 36s          ms/item 3.23\n",
      "dataset features    items 10240   time 39s          ms/item 3.22\n",
      "dataset features    items 10809   time 42s          ms/item 5.14\n",
      "generator features  items 1024    time 23s          ms/item 22.93\n",
      "generator features  items 2048    time 45s          ms/item 20.75\n",
      "generator features  items 3072    time 1m 06s       ms/item 20.93\n",
      "generator features  items 4096    time 1m 27s       ms/item 20.81\n",
      "generator features  items 5120    time 1m 48s       ms/item 20.07\n",
      "generator features  items 6144    time 2m 10s       ms/item 21.09\n",
      "generator features  items 7168    time 2m 31s       ms/item 21.14\n",
      "generator features  items 8192    time 2m 53s       ms/item 20.89\n",
      "generator features  items 9216    time 3m 14s       ms/item 20.80\n",
      "generator features  items 10240   time 3m 35s       ms/item 20.93\n",
      "generator features  items 11264   time 3m 57s       ms/item 20.80\n",
      "generator features  items 12288   time 4m 18s       ms/item 21.03\n",
      "generator features  items 13312   time 4m 40s       ms/item 20.91\n",
      "generator features  items 14336   time 5m 01s       ms/item 20.81\n",
      "generator features  items 15360   time 5m 22s       ms/item 20.92\n",
      "generator features  items 16384   time 5m 44s       ms/item 20.88\n",
      "generator features  items 17408   time 6m 05s       ms/item 20.98\n",
      "generator features  items 18432   time 6m 26s       ms/item 20.30\n",
      "generator features  items 19456   time 6m 48s       ms/item 21.06\n",
      "generator features  items 20480   time 7m 09s       ms/item 20.95\n",
      "generator features  items 21504   time 7m 30s       ms/item 20.78\n",
      "generator features  items 22528   time 7m 52s       ms/item 21.06\n",
      "generator features  items 23552   time 8m 13s       ms/item 20.82\n",
      "generator features  items 24576   time 8m 35s       ms/item 20.96\n",
      "generator features  items 25600   time 8m 56s       ms/item 20.96\n",
      "generator features  items 26624   time 9m 17s       ms/item 20.77\n",
      "generator features  items 27648   time 9m 39s       ms/item 21.19\n",
      "generator features  items 28672   time 10m 01s      ms/item 21.11\n",
      "generator features  items 29696   time 10m 22s      ms/item 21.06\n",
      "generator features  items 30720   time 10m 43s      ms/item 20.10\n",
      "generator features  items 31744   time 11m 04s      ms/item 20.97\n",
      "generator features  items 32768   time 11m 26s      ms/item 20.76\n",
      "generator features  items 33792   time 11m 47s      ms/item 21.00\n",
      "generator features  items 34816   time 12m 09s      ms/item 20.94\n",
      "generator features  items 35840   time 12m 30s      ms/item 20.81\n",
      "generator features  items 36864   time 12m 51s      ms/item 20.97\n",
      "generator features  items 37888   time 13m 13s      ms/item 20.83\n",
      "generator features  items 38912   time 13m 34s      ms/item 20.91\n",
      "generator features  items 39936   time 13m 56s      ms/item 21.11\n",
      "generator features  items 40960   time 14m 17s      ms/item 20.96\n",
      "generator features  items 41984   time 14m 39s      ms/item 21.21\n",
      "generator features  items 43008   time 14m 59s      ms/item 20.15\n",
      "generator features  items 44032   time 15m 21s      ms/item 21.22\n",
      "generator features  items 45056   time 15m 43s      ms/item 20.95\n",
      "generator features  items 46080   time 16m 04s      ms/item 20.99\n",
      "generator features  items 47104   time 16m 25s      ms/item 20.84\n",
      "generator features  items 48128   time 16m 47s      ms/item 20.93\n",
      "generator features  items 49152   time 17m 08s      ms/item 20.96\n",
      "generator features  items 50000   time 17m 27s      ms/item 22.09\n",
      "{\"results\": {\"fid50k_full\": 3.1131835824862097}, \"metric\": \"fid50k_full\", \"total_time\": 1096.7636423110962, \"total_time_str\": \"18m 17s\", \"num_gpus\": 1, \"snapshot_pkl\": \"network-snapshot-001000.pkl\", \"timestamp\": 1612753167.062439}\n",
      "\n",
      "Exiting...\n"
     ]
    }
   ],
   "source": [
    "!python calc_metrics.py --metrics=fid50k_full --data=dataset_floder.zip --mirror=1 --network= path to netwrok "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Stlyle mixing "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading networks from \"./training-runs/00000-sunh-auto2-kimg1000/network-snapshot-000800.pkl\"...\n",
      "Generating W vectors...\n",
      "Setting up PyTorch plugin \"bias_act_plugin\"... Done.\n",
      "Generating images...\n",
      "Setting up PyTorch plugin \"upfirdn2d_plugin\"... Done.\n",
      "Generating style-mixed images...\n",
      "Saving images...\n",
      "Saving image grid...\n"
     ]
    }
   ],
   "source": [
    "!python style_mixing_gray.py --outdir=stylemix --rows=1,6,10,11,13,22,25,34 --cols=37,39,38,35, 29 --network= path to netwrok "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Projecter\n",
    "\n",
    "Projecting images to latent space\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!python projector_gray.py --outdir=out --target=~/mytargetimg.png --network= path to netwrok "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make zip file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import zipfile\n",
    "\n",
    "def zipdir(path, ziph):\n",
    "    # ziph is zipfile handle\n",
    "    for root, dirs, files in os.walk(path):\n",
    "        for file in files:\n",
    "            ziph.write(os.path.join(root, file), os.path.relpath(os.path.join(root, file), os.path.join(path, '..')))\n",
    "\n",
    "if __name__ == '__main__':\n",
    "    zipf = zipfile.ZipFile('0331_class4_generated.zip', 'w', zipfile.ZIP_DEFLATED)\n",
    "    zipdir('./out0330', zipf)\n",
    "    zipf.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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