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README.md

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@@ -282,7 +282,7 @@ We report the best IS, FID, and F_beta values of various GANs. B. S. means batch
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※ IS, FID, and F_beta values are computed using 10K test and 10K generated Images.
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※ When evaluating, the statistics of batch normalization layers are calculated on the fly (statistics of a batch).
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```console
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```bash
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CUDA_VISIBLE_DEVICES=0 python3 src/main.py -e -l -stat_otf -c CONFIG_PATH --checkpoint_folder CHECKPOINT_FOLDER --eval_type "test"
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```
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@@ -315,7 +315,7 @@ CUDA_VISIBLE_DEVICES=0 python3 src/main.py -e -l -stat_otf -c CONFIG_PATH --chec
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※ IS, FID, and F_beta values are computed using 50K validation and 50K generated Images.
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※ When evaluating, the statistics of batch normalization layers are calculated on the fly (statistics of a batch).
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```console
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```bash
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CUDA_VISIBLE_DEVICES=0,1,... python3 src/main.py -e -l -stat_otf -c CONFIG_PATH --checkpoint_folder CHECKPOINT_FOLDER --eval_type "valid"
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```
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@@ -332,7 +332,7 @@ CUDA_VISIBLE_DEVICES=0,1,... python3 src/main.py -e -l -stat_otf -c CONFIG_PATH
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※ IS, FID, and F_beta values are computed using 50K validation and 50K generated Images.
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※ When evaluating, the statistics of batch normalization layers are calculated in advance (moving average of the previous statistics).
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```console
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```bash
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CUDA_VISIBLE_DEVICES=0,1,... python3 src/main.py -e -l -sync_bn -c CONFIG_PATH --checkpoint_folder CHECKPOINT_FOLDER --eval_type "valid"
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```
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