Comments (1)
这个是默认输入不支持,可以自行修改校验脚本。也可以跳过这一步直接转mnn 使用,这个模型一般没有问题
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Related Issues (20)
- Slice op for NC4HW4 input tensor does not respect C4 data layout HOT 5
- run diffusion demo error HOT 7
- Method `getSessionInfo` not working for `BACKENDS` HOT 3
- mac arm64编译报错ld: unknown options: -noall_load
- LSQQuantizer训练量化
- MNN CUDA: First inference returns zeros, subsequent inferences returns wrong output
- llm_export.py thorw AttributeError: 'NoneType' object has no attribute 'mnnconvert' HOT 2
- MNN模型能转为ONNX模型吗? HOT 1
- MNN存在内存泄漏情况 HOT 2
- Backend设置Precision_Low,部分图片输出结果正常,部分图片输出全0 HOT 1
- Segmentation fault while performing inference with a ResNet50 model that I converted from PyTorch to MNN HOT 1
- MNNConvert onnx,Run testMNNFromOnnx Fail,Segmentation fault (core dumped) HOT 1
- mnn_offline_quant离线量化失败
- 同一个MNN模型,同样的推理代码,windows运行推理正常,安卓和iOS必定崩溃 HOT 5
- 请问一下非四维度输入的模型怎么传输呢?是不是要添加维度。 HOT 2
- project/android/demo Android项目构建
- cmake时MNN_BUILD_TOOL不生效,导致make后没有产出modelCompare.out HOT 3
- 使用CoreML推理报错 HOT 2
- MAC 上编译hamony版MNN-2.9.0 报错 HOT 1
- 编译报错:no member named 'allCpuIdsSorted' in 'MNNCPUInfo'
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