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[Misc] Add uninitialized params tracking for AutoWeightsLoader (#10327)

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Signed-off-by: Isotr0py <2037008807@qq.com>
This commit is contained in:
Isotr0py
2024-11-18 09:07:46 +08:00
committed by GitHub
parent d1557e66d3
commit c4e464333e
74 changed files with 454 additions and 185 deletions
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8
vllm/model_executor/models/intern_vit.py
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@@ -5,7 +5,7 @@
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
from functools import partial
from typing import Iterable, Optional, Tuple
from typing import Iterable, Optional, Set, Tuple
import torch
import torch.nn as nn
@@ -469,10 +469,14 @@ class InternVisionModel(nn.Module):
return encoder_outputs
def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]):
def load_weights(self, weights: Iterable[Tuple[str,
torch.Tensor]]) -> Set[str]:
params_dict = dict(self.named_parameters())
loaded_params: Set[str] = set()
for name, loaded_weight in weights:
param = params_dict[name]
weight_loader = getattr(param, "weight_loader",
default_weight_loader)
weight_loader(param, loaded_weight)
loaded_params.add(name)
return loaded_params