benchmark测试,开启vulkan出现越界访问的错误
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Description
编译环境: win10 vs2019 gtx1660s
复现步骤:
1.下载20220910最新代码,编译
2.执行benchmark.exe 1 16 0 0 1
错误定位:当执行squeezenet_int8模型时,convolution_vulkan.cpp第216-222行出错
此时的weight_data的elemsize为1,但直接用float*进行访问
解决参考:
在Net::load_param函数中(load_param_bin同理),应在
int lr = layer->load_param(pd);
之后执行
if (layer->support_int8_storage)
{
// no int8 gpu support yet
opt.use_vulkan_compute = false;
}
以及
#if NCNN_VULKAN
if (opt.use_vulkan_compute)
layer->vkdev = d->vkdev;
#endif // NCNN_VULKAN
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce the issue on the stated Windows/VS2019 GTX1660S setup with benchmark.exe 1 16 0 0 1, then inspect convolution_vulkan.cpp lines 216-222 and the Net::load_param and load_param_bin entry points. Verify the squeezenet_int8 path and Vulkan handling around int8 storage. Done means the benchmark no longer performs the reported out-of-bounds access.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- computer-graphics, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 35/100