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Adding FID statistics calculation as an option (can now do "train", "eval", or "fid_stats") #5

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Adding FID statistics calculation as an option (can now do "train", "eval", or "fid_stats") #5

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5a5374f
add fid_stats calculation
AlexiaJM Mar 6, 2021
56c041c
fid_stats
AlexiaJM Mar 6, 2021
ce98785
fid_stats
AlexiaJM Mar 6, 2021
8d1a8ad
fid_stats
AlexiaJM Mar 6, 2021
978791f
remove some stuff
AlexiaJM Mar 6, 2021
f62e3e6
scaler and dequant removed + range/type + keep last batch
AlexiaJM Mar 6, 2021
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remove some stuff
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@AlexiaJM
AlexiaJM authored Mar 6, 2021
commit 978791f7390075a26b0a7dc54ec1f72483d7044c
6 changes: 0 additions & 6 deletions run_lib.py
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Expand Up @@ -602,12 +602,6 @@ def fid_stats(config,

# Create data normalizer and its inverse
scaler = datasets.get_data_scaler(config)
inverse_scaler = datasets.get_data_inverse_scaler(config)
try: # Set the number of classes if info exists
config.model.num_classes = dataset_builder.info.features['label'].num_classes
except:
config.model.num_classes = 1
assert not config.model.class_conditional or (config.model.class_conditional and config.model.num_classes > 1)

# Use inceptionV3 for images with resolution higher than 256.
inceptionv3 = config.data.image_size >= 256
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