From 9a432924ab09773b16b8e4dc08093b565c6a067d Mon Sep 17 00:00:00 2001
From: d7howe <623640221@qq.com>
Date: Fri, 17 Oct 2025 17:03:14 +0800
Subject: [PATCH] =?UTF-8?q?fix:=E4=BF=AE=E5=A4=8D=E8=BF=90=E8=A1=8C?=
 =?UTF-8?q?=E6=8A=A5=E9=94=99transpose=5Fweight=5Fkeys=E4=B8=8D=E5=AD=98?=
 =?UTF-8?q?=E5=9C=A8?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 paddlex/inference/models/common/vlm/transformers/model_utils.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/paddlex/inference/models/common/vlm/transformers/model_utils.py b/paddlex/inference/models/common/vlm/transformers/model_utils.py
index aaa7600543..5920c8ae05 100644
--- a/paddlex/inference/models/common/vlm/transformers/model_utils.py
+++ b/paddlex/inference/models/common/vlm/transformers/model_utils.py
@@ -1607,6 +1607,7 @@ def _fuse_or_split_keys(
                 except NotImplementedError:
                     if convert_from_hf:
                         raise ValueError("`convert_from_hf=True` is not supported")
+                    transpose_weight_keys = None
                 state_dict = load_state_dict(
                     shard_file,
                     tp_actions if pre_tensor_parallel_split else None,
@@ -1934,6 +1935,7 @@ def from_pretrained(
                 except NotImplementedError:
                     if convert_from_hf:
                         raise ValueError("`convert_from_hf=True` is not supported")
+                    transpose_weight_keys = None
                 state_dict = load_state_dict(
                     resolved_archive_file,
                     convert_from_hf=convert_from_hf,