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

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

View File

@@ -24,7 +24,7 @@ import math
import re
from functools import partial
from typing import (Any, Callable, Iterable, List, Literal, Mapping, Optional,
Tuple, TypedDict, Union)
Set, Tuple, TypedDict, Union)
import torch
import torch.types
@@ -602,7 +602,8 @@ class MiniCPMVBaseModel(nn.Module, SupportsMultiModal, 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]:
stacked_params_mapping = [
# (param_name, shard_name, shard_id)
("qkv_proj", "q_proj", "q"),
@@ -612,6 +613,7 @@ class MiniCPMVBaseModel(nn.Module, SupportsMultiModal, SupportsPP):
("gate_up_proj", "up_proj", 1),
]
params_dict = dict(self.named_parameters())
loaded_params: Set[str] = set()
for name, loaded_weight in weights:
for key_to_modify, new_key in _KEYS_TO_MODIFY_MAPPING.items():
if key_to_modify in name:
@@ -630,10 +632,10 @@ class MiniCPMVBaseModel(nn.Module, SupportsMultiModal, SupportsPP):
for param_name, weight_name, shard_id in stacked_params_mapping:
if weight_name not in name:
continue
if is_pp_missing_parameter(
name.replace(weight_name, param_name), self):
name = name.replace(weight_name, param_name)
if is_pp_missing_parameter(name, self):
continue
param = params_dict[name.replace(weight_name, param_name)]
param = params_dict[name]
weight_loader = param.weight_loader
weight_loader(param, loaded_weight, shard_id)
break
@@ -646,6 +648,8 @@ class MiniCPMVBaseModel(nn.Module, SupportsMultiModal, SupportsPP):
weight_loader = getattr(param, "weight_loader",
default_weight_loader)
weight_loader(param, loaded_weight)
loaded_params.add(name)
return loaded_params
def get_mm_mapping(self) -> MultiModelKeys:
"""