directly convert list to tensor
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@ -232,10 +232,7 @@ class FrozenCLIPEmbedderWithCustomWords(torch.nn.Module):
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z = outputs.last_hidden_state
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z = outputs.last_hidden_state
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# restoring original mean is likely not correct, but it seems to work well to prevent artifacts that happen otherwise
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# restoring original mean is likely not correct, but it seems to work well to prevent artifacts that happen otherwise
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if torch.has_mps:
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batch_multipliers = torch.asarray(batch_multipliers).to(device)
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batch_multipliers = torch.asarray(np.array(batch_multipliers).astype('float32')).to(device)
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else:
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batch_multipliers = torch.asarray(np.array(batch_multipliers)).to(device)
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original_mean = z.mean()
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original_mean = z.mean()
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z *= batch_multipliers.reshape(batch_multipliers.shape + (1,)).expand(z.shape)
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z *= batch_multipliers.reshape(batch_multipliers.shape + (1,)).expand(z.shape)
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new_mean = z.mean()
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new_mean = z.mean()
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