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.')

Hi,
mine says.
`python3 test.py

Checking ROCM support...
GOOD: ROCM devices found: 2
Checking PyTorch...
GOOD: PyTorch is working fine.
Checking user groups...
GOOD: The user push is in RENDER and VIDEO groups.
BAD: PyTorch ROCM support NOT found.
`

I don't know how to get rid of this.
I am pretty noob with gpu related.Thanks

@iampaulidrobo Did you install the ROCm version of PyTorch?

You can find the latest PyTorch installation in PyTorch Website. Scroll down a bit you would find the installation option like the screenshot below. Choose the option like the screenshot you would get the instruction.

In short, you can uninstall the PyTorch and install PyTorch v2.4 using the below command

# Uninstall the previous version of PyTorch
pip uninstall torch torchvision torchaudio
# Install PyTorch ROCm version
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.1

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.