Comments (1)
- 先 PC 上跑一下 mnn 看是否正常
- 确认下设备上 mnn 和 PC 上 mnn 的代码是否一致
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Related Issues (20)
- 多个模型A和B, 独立interpreter和session并行跑mnn,backend为mali gpu,那模型实际在gpu上按串行执行?后进的推理耗时是A+B? HOT 3
- 多个模型串行共享一个runtime,内存没有复用反倒增加 HOT 14
- 使用GPU推理时,如何看GPU的占用率 HOT 3
- Building failed for Raspi OS Bookworm 32 bit HOT 4
- Yolov8模型量化后,量化未报错,加载模型推理报错,MNN tool无法打开模型,nerton提示weights参数是空 HOT 10
- windows平台vs2022编译报错 HOT 2
- 使用控制流( if ... else ..) 转换 onnx to mnn 模型, mnn 模型输入信息异常,推理崩溃 HOT 4
- cannot convert qwen to mnn HOT 1
- `MNNV2Basic.out` 中 `Avg` 和 `OpSum` 的时间存在差异 HOT 1
- 2.8.0编译NPU出错
- iOS 编译出现 Undefined symbols HOT 1
- qwen 转换失败
- Yolov8s模型量化后,推理结果和量化前不一致 HOT 1
- incompatible TensorRT 8.6 HOT 1
- 在手机运行,未像之前打印出CPU支持相关信息
- Eror When Make HOT 1
- 请问有没有关于支持BERT类型模型的计划? HOT 3
- onnx模型转成mnn成功,但是testMNNFromOnnx失败 HOT 5
- get_model.sh error
- MNN2.8.2 ONNX convert success,but inference with wrong results HOT 1
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