一、问题描述
环境：
CUDA11.5
cuDNN8.3 for CUDA 11.5
MATLABR2021b
MATLAB已安装 “GPU Coder Interface for Deep Learning Libraries support package”, “MATLAB Support for MinGW-w64 C/C++ Compiler”
未安装Microsoft Visual Studio
运行如下代码检查环境：
envCfg = coder.gpuEnvConfig('host');
envCfg.DeepLibTarget = 'cudnn';
envCfg.DeepCodegen = 1;
envCfg.Quiet = 1;
coder.checkGpuInstall(envCfg);
显示错误：
Error using coder.checkGpuInstall (line 32)
One or more of the system checks did not pass, with the following errors ...
Basic Code Generation: (Test GPU code generation failed with the error 'emlc:compilationError'. View report for further information: View report)
点击View report，显示 ：
Build error: C++ compiler produced errors. See the Build Log for further details.
因此继续用*coder.checkGpuInstall();*详细检查各环境，显示：
Compatible GPU : PASSED
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
cuDNN Environment : PASSED
Basic Code Generation : FAILED (Test GPU code generation failed with the error 'emlc:compilationError'. View report for further information: View report)
二、问题解决
回想起之前安装CUDA时，按照教程取消勾选Visual Studio Integration，防止与已安装的Visual Studio冲突。但是那时我并没有安装Visual Studio，因此推测是由于未安装Visual Studio导致的。
因此，首先安装Visual Studio 2019后重启（Visual Studio 2015及以上版本，包含C++)，再次运行coder.checkGpuInstall，显示：
Compatible GPU : PASSED
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
cuDNN Environment : PASSED
Basic Code Generation : PASSED
Basic Code Execution : PASSED
再次运行开头的代码段：
envCfg = coder.gpuEnvConfig('host');
envCfg.DeepLibTarget = 'cudnn';
envCfg.DeepCodegen = 1;
envCfg.Quiet = 1;
coder.checkGpuInstall(envCfg);
正常运行未报错。
问题解决。