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GPU is not detected

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Shaw
Shaw el 19 de Nov. de 2021
Respondida: Animesh Gupta el 1 de Sept. de 2022
I am trying to run the example code
Even though I am running on a GPU. I am getting an error
I have used the command gpuDevice. These are my GPU properties
gpuDevice
ans =
CUDADevice with properties:
Name: 'Tesla V100-SXM2-16GB'
Index: 1
ComputeCapability: '7.0'
SupportsDouble: 1
DriverVersion: 11.2000
ToolkitVersion: 11
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 1.6946e+10
AvailableMemory: 1.6009e+10
MultiprocessorCount: 80
ClockRateKHz: 1530000
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 0
CanMapHostMemory: 1
DeviceSupported: 1
DeviceAvailable: 1
DeviceSelected: 1

Respuestas (1)

Animesh Gupta
Animesh Gupta el 1 de Sept. de 2022
Hello,
It is my understanding that you are unable to run the calibrate method for the dlquantizer object, although you have a GPU that is recognized by MATLAB.
There are certain prerequisites that we need to meet before we can quantize and deploy deep learning networks, e,g,, setting up the prerequisite products, ensuring that the compiler is compatible with our workflow amd the supported networks/classes/layers that we can quantize and deploy.
The documentation link here might be helpful to know about some of these pre-requisites.
Hope this helps!

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