[Model] Support Gemma2 embedding model (#9004)
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@@ -278,11 +278,14 @@ class Gemma2Model(nn.Module):
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kv_caches: List[torch.Tensor],
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attn_metadata: AttentionMetadata,
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intermediate_tensors: Optional[IntermediateTensors],
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inputs_embeds: Optional[torch.Tensor] = None,
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) -> Union[torch.Tensor, IntermediateTensors]:
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if get_pp_group().is_first_rank:
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hidden_states = self.embed_tokens(input_ids)
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if inputs_embeds is not None:
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hidden_states = inputs_embeds
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else:
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hidden_states = self.embed_tokens(input_ids)
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hidden_states *= self.normalizer
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residual = None
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else:
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assert intermediate_tensors is not None
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