Script for testing PyTorch support with AMD GPUs using ROCM

test-rocm.py

import torch, grp, pwd, os, subprocess
devices = []
try:
	print("\n\nChecking ROCM support...")
	result = subprocess.run(['rocminfo'], stdout=subprocess.PIPE)
	cmd_str = result.stdout.decode('utf-8')
	cmd_split = cmd_str.split('Agent ')
	for part in cmd_split:
		item_single = part[0:1]
		item_double = part[0:2]
		if item_single.isnumeric() or item_double.isnumeric():
			new_split = cmd_str.split('Agent '+item_double)
			device = new_split[1].split('Marketing Name:')[0].replace('  Name:                    ', '').replace('\n','').replace('                  ','').split('Uuid:')[0].split('*******')[1]
			devices.append(device)
	if len(devices) > 0:
		print('GOOD: ROCM devices found: ', len(devices))
	else:
		print('BAD: No ROCM devices found.')

	print("Checking PyTorch...")
	x = torch.rand(5, 3)
	has_torch = False
	len_x = len(x)
	if len_x == 5:
		has_torch = True
		for i in x:
			if len(i) == 3:
				has_torch = True
			else:
				has_torch = False
	if has_torch:
		print('GOOD: PyTorch is working fine.')
	else:
		print('BAD: PyTorch is NOT working.')


	print("Checking user groups...")
	user = os.getlogin()
	groups = [g.gr_name for g in grp.getgrall() if user in g.gr_mem]
	gid = pwd.getpwnam(user).pw_gid
	groups.append(grp.getgrgid(gid).gr_name)
	if 'render' in groups and 'video' in groups:
		print('GOOD: The user', user, 'is in RENDER and VIDEO groups.')
	else:
		print('BAD: The user', user, 'is NOT in RENDER and VIDEO groups. This is necessary in order to PyTorch use HIP resources')

	if torch.cuda.is_available():
		print("GOOD: PyTorch ROCM support found.")
		t = torch.tensor([5, 5, 5], dtype=torch.int64, device='cuda')
		print('Testing PyTorch ROCM support...')
		if str(t) == "tensor([5, 5, 5], device='cuda:0')":
			print('Everything fine! You can run PyTorch code inside of: ')
			for device in devices:
				print('---> ', device)
	else:
		print("BAD: PyTorch ROCM support NOT found.")
except:
	print('Cannot find rocminfo command information. Unable to determine if AMDGPU drivers with ROCM support were installed.')

The script ran successfully for me but then no floating point stuff worked. Turns out I needed to override the GPU model to something else ROCm/ROCm#2536 (comment)

I'd suggest doing something like

t = torch.tensor([5, 5, 5], dtype=torch.int64, device='cuda')
t_f32 = torch.tensor([5, 5, 5], dtype=torch.float32, device='cuda')
print('Testing PyTorch ROCM support...')
if str(t) == "tensor([5, 5, 5], device='cuda:0')" and str(t_f32) == "tensor([5., 5., 5.], device='cuda:0')":

So that you know floating point is also working.