NVIDIA Cuda Validation did not detect Nvidia for Tesla T4 15GB

[Hzzkygcs]

Hi.
I'm trying to run phoronix-test-suite install pytorch-1.0.1 on the Google Cloud Platform VM instance with support for GPU (Nvidia Tesla T4 15GB). However, I did not see the option to choose between CPU vs Cuda. I'm always forced to use the CPU. Phoronix did not ask me which hardware to use (GPU vs CPU).

I have made sure that PyTorch 1.0.1 supports Nvidia in its test-definition.xml. After spending some time reading the Phoronix code I think the simple validation at

phoronix-test-suite/pts-core/objects/pts_test_run_options.php

Lines 759 to 770 in f036573

	if((stripos($test_args, 'NVIDIA ') !== false || stripos($test_args . ' ', 'CUDA ') !== false) && stripos(phodevi::read_property('gpu', 'model'), 'NVIDIA') === false)
	{
	// Only show NVIDIA / CUDA options when running with NVIDIA hardware
	$error = 'NVIDIA CUDA support is not available.';
	return false;
	}
	if((stripos($test_args, 'NVIDIA ') !== false || stripos($test_args . ' ', 'CUDA ') !== false) && stripos(phodevi::read_property('gpu', 'model'), 'NVIDIA') === false)
	{
	// Only show NVIDIA / CUDA options when running with NVIDIA hardware
	$error = 'NVIDIA support is not available.';
	return false;
	}

doesn't work on my case.

I tried to print out the phodevi::read_property('gpu', 'model') of my VM instance, and it yields Tesla T4 15GB which does not contain substring NVIDIA in it, even though it's also an Nvidia GPU with CUDA support.

Some solutions I propose to this issue are:

• Add alternative validation. If the substring "nvidia" is not found, then try to run command nvidia-smi and see if it returns "command not found error" or not.
• Add an option to disable all validation entirely (which may not be an ideal solution, but easier to implement)
• Rely on other properties of the GPU besides the "model" property

However, I believe there may be some more ideal and better solutions than my solutions. Should that be the case, feel free to use the better one