coder.checkGpuInstall

Verify GPU code generation environment

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Syntax

results = coder.checkGpuInstall(cfg)

Description

example

results = coder.checkGpuInstall(cfg) performs checks to verify if your environment has the all third-party tools and libraries required for GPU code generation. cfg must be an coder.gpuEnvConfig object. This function verifies the GPU code generation environment based on the properties specified in the given configuration object.

You can also use the equivalent GUI-based application that performs the same checks. To open this application, use the MATLAB® command, coder.checkGpuInstallApp.

Examples

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Perform a complete check of all third-party tools required for GPU code generation. The output shown here is representative. Your results might differ.

gpuEnvObj = coder.gpuEnvConfig;
gpuEnvObj.GpuId = 1;
gpuEnvObj.BasicCodegen = 1;
gpuEnvObj.BasicCodeexec = 1;
results = coder.checkGpuInstall(gpuEnvObj)
Compatible GPU           : PASSED 
CUDA Environment         : PASSED 
	Runtime   : PASSED 
	cuFFT     : PASSED 
	cuSOLVER  : PASSED 
	cuBLAS    : PASSED 
Basic Code Generation    : PASSED 
Basic Code Execution     : PASSED 

results = 

  struct with fields:

                 gpu: 1
                cuda: 1
               cudnn: 0
            tensorrt: 0
        basiccodegen: 1
       basiccodeexec: 1
         deepcodegen: 0
        deepcodeexec: 0
    tensorrtdatatype: 0
           profiling: 0

Input Arguments

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coder.gpuEnvConfig object contains the configuration parameters that coder.checkGpuInstall uses to verify the GPU code generation environment.

Output Arguments

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Results of checking the GPU code generation environment, returned as a 1-by-1 structure.

See Also

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Topics

Introduced in R2017b

GPU Coder Documentation
Support