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[Bugfix] remove post_layernorm in siglip (#8106)

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wnma 2024-09-04 18:55:37 +08:00 committed by GitHub
parent ccd7207191
commit d3311562fb
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1 changed files with 24 additions and 3 deletions
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27
vllm/model_executor/models/siglip.py
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@ -443,14 +443,27 @@ class SiglipVisionTransformer(nn.Module):
self.config = config
embed_dim = config.hidden_size
if (num_hidden_layers_override is None
or num_hidden_layers_override == config.num_hidden_layers):
self.need_post_layernorm = True
elif num_hidden_layers_override > config.num_hidden_layers:
raise ValueError(
"num_hidden_layers_override cannot be greater than "
"num_hidden_layers")
else:
self.need_post_layernorm = False
self.embeddings = SiglipVisionEmbeddings(config)
self.encoder = SiglipEncoder(
config,
quant_config=quant_config,
num_hidden_layers_override=num_hidden_layers_override,
)
self.post_layernorm = nn.LayerNorm(embed_dim,
eps=config.layer_norm_eps)
if self.need_post_layernorm:
self.post_layernorm = nn.LayerNorm(embed_dim,
eps=config.layer_norm_eps)
else:
self.post_layernorm = nn.Identity()
self.use_head = (True if not hasattr(config, "vision_use_head") else
config.vision_use_head)
if self.use_head:
@ -470,7 +483,6 @@ class SiglipVisionTransformer(nn.Module):
encoder_outputs = self.encoder(inputs_embeds=hidden_states)
last_hidden_state = self.post_layernorm(encoder_outputs)
# TODO: add this back when pooled_output is used in inference
# if self.use_head:
# pooled_output = self.head(last_hidden_state)
@ -499,6 +511,10 @@ class SiglipVisionModel(nn.Module):
num_hidden_layers_override=num_hidden_layers_override,
)
@property
def need_post_layernorm(self):
return self.vision_model.need_post_layernorm
def get_input_embeddings(self) -> nn.Module:
return self.vision_model.embeddings.patch_embedding
@ -517,6 +533,11 @@ class SiglipVisionModel(nn.Module):
layer_count = len(self.vision_model.encoder.layers)
for name, loaded_weight in weights:
# post_layernorm is optional in SiglipVisionModel
if ("vision_model.post_layernorm" in name
and not self.need_post_layernorm):
continue
# omit layers when num_hidden_layers_override is set
if "vision_model.encoder.layers." in name:
layer_idx = int(name.split(".")[3])