Add hyperparameter scan
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import torch
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print(f"PyTorch version: {torch.__version__}")
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print(f"CUDA available: {torch.cuda.is_available()}")
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if torch.cuda.is_available():
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print(f"CUDA version: {torch.version.cuda}")
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print(f"Device count: {torch.cuda.device_count()}")
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print(f"Device name: {torch.cuda.get_device_name(0)}")
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# Run a small tensor op on the GPU
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a = torch.randn(1000, 1000, device="cuda")
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b = torch.randn(1000, 1000, device="cuda")
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c = a @ b
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torch.cuda.synchronize()
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print(f"Matrix multiply: OK (result shape {c.shape}, device {c.device})")
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else:
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print("No CUDA device found — check driver/CUDA installation.")
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