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Optimized code for Ignoring last CLIP layers
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@ -282,11 +282,7 @@ class FrozenCLIPEmbedderWithCustomWords(torch.nn.Module):
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remade_batch_tokens_of_same_length = [x + [self.wrapped.tokenizer.eos_token_id] * (target_token_count - len(x)) for x in remade_batch_tokens]
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tokens = torch.asarray(remade_batch_tokens_of_same_length).to(device)
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tmp = -opts.CLIP_ignore_last_layers
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if (opts.CLIP_ignore_last_layers == 0):
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outputs = self.wrapped.transformer(input_ids=tokens, position_ids=position_ids)
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z = outputs.last_hidden_state
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else:
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tmp = -opts.CLIP_stop_at_last_layers
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outputs = self.wrapped.transformer(input_ids=tokens, position_ids=position_ids, output_hidden_states=tmp)
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z = outputs.hidden_states[tmp]
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z = self.wrapped.transformer.text_model.final_layer_norm(z)
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