biondizzle/vllm
1
0
Fork 0
Code Issues Pull Requests Actions 2 Packages Projects Releases Wiki Activity

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

Browse Source 
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
Download Patch File Download Diff File Expand all files Collapse all files

8
vllm/model_executor/models/dbrx.py
View File

@@ -1,4 +1,4 @@
from typing import Iterable, List, Optional, Tuple, Union
from typing import Iterable, List, Optional, Set, Tuple, Union
import torch
import torch.nn as nn
@@ -417,13 +417,15 @@ class DbrxForCausalLM(nn.Module, SupportsPP):
next_tokens = self.sampler(logits, sampling_metadata)
return next_tokens
def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]):
def load_weights(self, weights: Iterable[Tuple[str,
torch.Tensor]]) -> Set[str]:
expert_params_mapping = [(
"w13_weight" if weight_name in ["w1", "v1"] else "w2_weight",
f"mlp.{weight_name}",
) for weight_name in ["w1", "v1", "w2"]]
params_dict = dict(self.named_parameters(remove_duplicate=False))
loaded_params: Set[str] = set()
for name, loaded_weight in weights:
for param_name, weight_name in expert_params_mapping:
if weight_name not in name:
@@ -447,3 +449,5 @@ class DbrxForCausalLM(nn.Module, SupportsPP):
weight_loader = getattr(param, "weight_loader",
default_weight_loader)
weight_loader(param, loaded_weight)
loaded_params.add(name)
return loaded_params