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now completely OpenAI CLIP compatible for training
just take care of the logic for AdamW and transformers used namedtuples for clip adapter embedding outputs
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@@ -2,15 +2,6 @@ import copy
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import torch
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from torch import nn
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# image related normalizations
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# ddpms expect images to be in the range of -1 to 1
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def normalize_img(img):
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return img * 2 - 1
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def unnormalize_img(normed_img):
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return (normed_img + 1) * 0.5
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# exponential moving average wrapper
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class EMA(nn.Module):
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