[Feature] support pooling model dummy_run#4345
[Feature] support pooling model dummy_run#4345Jiang-Jia-Jun merged 22 commits intoPaddlePaddle:developfrom
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| from fastdeploy.engine.pooling_params import PoolingParams | ||
| from fastdeploy.engine.tasks import PoolingTask |
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从 engine import 东西到底层是合理的吗
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这里是参考vllm做法，它是vllm/tasks,我就放到engine底下了
| class FdModel(Protocol[T_co]): | ||
| """The interface required for all models in FastDeploy.""" |
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哪些类会继承FDModel，和 ModelForCasualLM 是啥关系
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只有FDModelForPooling继承，和ModelForCasualLM没关系，ModelForCasualLM有compute_logits,pooling模型不计算这个
| [num_reqs, req_num_tokens], | ||
| dtype="int32", | ||
| ) | ||
| model = cast(FdModelForPooling, self.get_model()) |
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同上，FdModelForPooling 和 ModelForCasualLM 关系是什么，一定要cast吗
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这里是设置一些默认的pooling_type(如果用户不设置)，是需要cast的
| to_update = model.pooler.get_pooling_updates(task) | ||
| to_update.apply(dummy_pooling_params) |
| cumsum = paddle.zeros([n_seq + 1], dtype="int64") | ||
| if cumsum.place.is_gpu_place(): | ||
| cumsum = cumsum.cpu() |
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这里为啥不直接zeros一个cpu tensor ?
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| self.attn_backends.append(attn_backend) | ||
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| def _dummy_pooler_run_task( |
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为什么不直接实现在_dummy_pooler_run中，而是单独抽出一个_dummy_pooler_run_task ？
| self.speculative_decoding = self.speculative_method is not None | ||
| self.enable_logprob = fd_config.model_config.enable_logprob | ||
| self.enable_early_stop = self.fd_config.early_stop_config.enable_early_stop | ||
| self.is_pooling_model = self.fd_config.model_config.runner_type == "pooling" |
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self.is_pooling_model和is_pooling_model是否能去除一个？有都存在的必要性吗？
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去除了is_pooling_model,保留了self.is_pooling_model
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支持pooling模型dummy_pooler_run，以及将之前生成式模型预热阶段重构为dummy_sampler_run，并修复qwen3-embeeding-0.6B单卡加载的bug