GPU coder error: Invalid ComputeCapability value 7.5

2020 8 20
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更新时间：2020 8 20
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I tried to verify GPU code generation environment with example code below, and got the following error. Does ComputeCapability 7.5 too high to compute?
gpuEnvObj = coder.gpuEnvConfig;
gpuEnvObj.GpuId = 1;
gpuEnvObj.BasicCodegen = 1;
gpuEnvObj.BasicCodeexec = 1;
results = coder.checkGpuInstall(gpuEnvObj)
Error using coder.checkGpuInstall (line 32)
Error setting property 'ComputeCapability' of class 'GpuConfig': Invalid value '7.5'.
Allowed values are:
3.2, 3.5, 3.7, 5.0, 5.2, 5.3, 6.0, 6.1, 6.2, 7.0, 7.1, 7.2

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Walter Roberson
Walter Roberson 2020-8-20

0 个投票

You have a Turing class NVIDIA GPU, but your driver supports only up to Volta.
It looks to me as if you are probably using a 300 series driver such as 384.111
You can update the driver on your system to any 400 series driver. You might as well use the newest available driver for your system, as the newest supports all architectures that your current driver supports, and more.

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shuang zhou
shuang zhou 2020-8-20
I updated to Game Ready Driver Version 452.06, and got the same result.
gpuEnvObj = coder.gpuEnvConfig;
gpuEnvObj.GpuId = 0;
gpuEnvObj.BasicCodegen = 1;
gpuEnvObj.BasicCodeexec = 1;
results = coder.checkGpuInstall(gpuEnvObj)
Compatible GPU : PASSED
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
Error using coder.checkGpuInstall (line 32)
Error setting property 'ComputeCapability' of class 'GpuConfig': Invalid value '7.5'.
Allowed values are:
3.2, 3.5, 3.7, 5.0, 5.2, 5.3, 6.0, 6.1, 6.2, 7.0, 7.1, 7.2
shuang zhou
shuang zhou 2020-8-20
CUDADevice with properties:
Name: 'GeForce RTX 2080'
Index: 1
ComputeCapability: '7.5'
SupportsDouble: 1
DriverVersion: 11
ToolkitVersion: 10
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 8.5899e+09
AvailableMemory: 7.3315e+09
MultiprocessorCount: 46
ClockRateKHz: 1800000
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 1
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1
Walter Roberson
Walter Roberson 2020-8-20
That "should" work; https://www.mathworks.com/help/parallel-computing/gpu-support-by-release.html indicates that capacity 7.5 is supported for your release.
But just to check: did you reboot after you installed the newest driver> You need to have rebooted after installing the driver.
shuang zhou
shuang zhou 2020-8-20
My current matlab version is 2019a, I solved this problem by update matlab to 2020b prerelease .
Then add NVIDIA_CUDNN and NVIDIA_TENSORRT to system environment variables list
>> getenv('NVIDIA_CUDNN')
'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2'
>> getenv('NVIDIA_TENSORRT')
'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\TensorRT-7.1.3.4'

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