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63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
import torch
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class SDXLTextEncoder2(torch.nn.Module):
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def __init__(
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self,
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hidden_size=1280,
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intermediate_size=5120,
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num_hidden_layers=32,
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num_attention_heads=20,
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max_position_embeddings=77,
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vocab_size=49408,
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layer_norm_eps=1e-05,
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hidden_act="gelu",
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initializer_factor=1.0,
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initializer_range=0.02,
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bos_token_id=0,
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eos_token_id=2,
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pad_token_id=1,
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projection_dim=1280,
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):
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super().__init__()
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from transformers import CLIPTextConfig, CLIPTextModelWithProjection
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config = CLIPTextConfig(
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hidden_size=hidden_size,
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intermediate_size=intermediate_size,
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num_hidden_layers=num_hidden_layers,
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num_attention_heads=num_attention_heads,
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max_position_embeddings=max_position_embeddings,
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vocab_size=vocab_size,
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layer_norm_eps=layer_norm_eps,
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hidden_act=hidden_act,
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initializer_factor=initializer_factor,
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initializer_range=initializer_range,
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bos_token_id=bos_token_id,
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eos_token_id=eos_token_id,
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pad_token_id=pad_token_id,
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projection_dim=projection_dim,
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)
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self.model = CLIPTextModelWithProjection(config)
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self.config = config
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def forward(
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self,
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input_ids=None,
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attention_mask=None,
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position_ids=None,
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output_hidden_states=True,
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**kwargs,
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):
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outputs = self.model(
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input_ids=input_ids,
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attention_mask=attention_mask,
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position_ids=position_ids,
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output_hidden_states=output_hidden_states,
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return_dict=True,
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**kwargs,
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)
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if output_hidden_states:
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return outputs.text_embeds, outputs.hidden_states
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return outputs.text_embeds
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