Uploaded sanitized BC250/ROCm Repository.
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import torch
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import os
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print(f"HSA_OVERRIDE_GFX_VERSION={os.environ.get('HSA_OVERRIDE_GFX_VERSION','NOT SET')}")
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print(f"PyTorch arch list: {torch.cuda.get_arch_list()}")
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print(f"Device: {torch.cuda.get_device_name(0)}")
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print(f"GCN Arch: {torch.cuda.get_device_properties(0).gcnArchName}")
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try:
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t = torch.randn(256, 256, device="cuda")
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r = torch.mm(t, t)
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val = r[0,0].item()
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print(f"GPU matmul OK! result[0,0]={val:.4f}")
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# Bigger test
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a = torch.randn(1024, 1024, device="cuda")
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b = torch.randn(1024, 1024, device="cuda")
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c = torch.mm(a, b)
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print(f"Large matmul OK! shape={c.shape}")
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# Test fp32 conv
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x = torch.randn(1, 3, 64, 64, device="cuda")
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conv = torch.nn.Conv2d(3, 16, 3, padding=1).cuda()
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y = conv(x)
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print(f"Conv2d OK! output shape={y.shape}")
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print("ALL GPU TESTS PASSED!")
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except Exception as e:
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print(f"FAILED: {e}")
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