在rv1126上连板测试yolo11量化后模型报错Exception: RKNN init failed. error code: RKNN_ERR_MODEL_INVALID，量化前模型没有问题。

[BITfanyu]

W rknn-toolkit version: 1.7.5
--> Init runtime environment
I NPUTransfer: Starting NPU Transfer Client, Transfer version 2.1.0 (b5861e7@2020-11-23T11:50:36)
E RKNNAPI: rknn_init, msg_load_ack fail, ack = 1(ACK_FAIL), expect 0(ACK_SUCC)!
E RKNNAPI: ==============================================
E RKNNAPI: RKNN VERSION:
E RKNNAPI: API: 1.7.5 (bb79b30 build: 2023-06-20 09:54:19)
E RKNNAPI: DRV: 1.7.5 (bb79b30 build: 2023-07-18 10:56:54)
E RKNNAPI: ==============================================
E Catch exception when init runtime!
E Traceback (most recent call last):
E File "rknn/api/rknn_base.py", line 1008, in rknn.api.rknn_base.RKNNBase.init_runtime
E File "rknn/api/rknn_runtime.py", line 340, in rknn.api.rknn_runtime.RKNNRuntime.build_graph
E Exception: RKNN init failed. error code: RKNN_ERR_MODEL_INVALID
E Please feedback the detailed log file <log_feedback_to_the_rknn_toolkit_dev_team.log> to the RKNN Toolkit development team.
E You can also check github issues: https://github.com/rockchip-linux/rknn-toolkit/issues
E Current device id is: None
E Devices connected:
Init runtime environment failed
E ['192.168.0.100:5555']

export RKNN_LOG_LEVEL=5以后打印的日志如下

D [setup_node:441]Setup node id[70] uid[172] op[CONV2D] name[Conv_/model.10/m/m.0/attn/qkv/conv/Conv_172]
E [rknn_QuantCheck:405]input_scale[0.045956630260] * weight_scale[0.004918673541] != bias_scale[0.000353557582]
E [setup_node:456]Check node[70] CONV2D fail
Create rknn graph fail!
I [remove_client_ops:5760]remove_client_ops num=0
I [remove_client_ops:5771]remove_client_ops finish
Create RKNN model fail, error=-6
16894 NNService process_msg_init(203): Client 0 init model fail!

应该是yolo11注意力层的卷积量化出了问题

[BITfanyu]

通过混合量化，对注意力qkv层的conv不做量化保留float32暂时解决该问题