Uploaded sanitized BC250/ROCm Repository.

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Fabian
2026-08-20 00:45:43 +02:00
parent 7d2184f1e8
commit d7d22e93b3
678 changed files with 65963 additions and 1 deletions
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import torch
import os
print(f"HSA_OVERRIDE_GFX_VERSION={os.environ.get('HSA_OVERRIDE_GFX_VERSION','NOT SET')}")
print(f"PyTorch arch list: {torch.cuda.get_arch_list()}")
print(f"Device: {torch.cuda.get_device_name(0)}")
print(f"GCN Arch: {torch.cuda.get_device_properties(0).gcnArchName}")
try:
t = torch.randn(256, 256, device="cuda")
r = torch.mm(t, t)
val = r[0,0].item()
print(f"GPU matmul OK! result[0,0]={val:.4f}")
# Bigger test
a = torch.randn(1024, 1024, device="cuda")
b = torch.randn(1024, 1024, device="cuda")
c = torch.mm(a, b)
print(f"Large matmul OK! shape={c.shape}")
# Test fp32 conv
x = torch.randn(1, 3, 64, 64, device="cuda")
conv = torch.nn.Conv2d(3, 16, 3, padding=1).cuda()
y = conv(x)
print(f"Conv2d OK! output shape={y.shape}")
print("ALL GPU TESTS PASSED!")
except Exception as e:
print(f"FAILED: {e}")