[Models] Replace all nn.Conv2d with vLLM's Conv2dLayer (#28842)

Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
This commit is contained in:
Isotr0py
2025-11-19 02:56:04 +08:00
committed by GitHub
parent c64c0b78de
commit e4bb2684bc
20 changed files with 83 additions and 45 deletions

View File

@@ -45,6 +45,7 @@ from vllm.config.multimodal import BaseDummyOptions
from vllm.distributed import parallel_state
from vllm.distributed import utils as dist_utils
from vllm.model_executor.layers.activation import get_act_fn
from vllm.model_executor.layers.conv import Conv2dLayer
from vllm.model_executor.layers.linear import (
ColumnParallelLinear,
QKVParallelLinear,
@@ -419,7 +420,7 @@ class SiglipVisionEmbeddings(nn.Module):
self.image_size = config.image_size
self.patch_size = config.patch_size
self.patch_embedding = nn.Conv2d(
self.patch_embedding = Conv2dLayer(
in_channels=config.num_channels,
out_channels=self.embed_dim,
kernel_size=self.patch_size,