mirror of
https://github.com/elder-plinius/OBLITERATUS.git
synced 2026-08-29 22:20:36 +02:00
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
"""Physical NVIDIA Jetson CUDA placement and operation probe."""
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from __future__ import annotations
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import platform
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from pathlib import Path
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import pytest
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import torch
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import torch.nn as nn
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from accelerate.hooks import AlignDevicesHook, add_hook_to_module
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from obliteratus import device
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from obliteratus.abliterate import AbliterationPipeline
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pytestmark = pytest.mark.gpu
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def test_jetson_cuda_runtime_contract():
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assert platform.machine().lower() in {"aarch64", "arm64"}
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assert Path("/etc/nv_tegra_release").is_file()
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assert torch.version.cuda is not None
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assert torch.cuda.is_available()
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assert torch.cuda.device_count() > 0
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assert device.is_cuda()
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assert device.get_device("auto") == "cuda"
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tensor = torch.arange(16, device="cuda", dtype=torch.float32).reshape(4, 4)
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result = tensor @ tensor.T
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assert result.device.type == "cuda"
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assert torch.isfinite(result).all()
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def test_jetson_cuda_offloaded_surgery_contract():
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module = nn.Module()
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module.proj = nn.Linear(4, 4, bias=False)
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original = module.proj.weight.detach().clone()
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hook = AlignDevicesHook(execution_device="cuda", offload=True)
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add_hook_to_module(module.proj, hook)
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count = AbliterationPipeline._project_out_advanced(
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module,
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torch.tensor([[1.0], [0.0], [0.0], [0.0]], device="cuda"),
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["proj"],
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)
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output = module.proj(torch.ones(1, 4, device="cuda"))
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expected = original.clone()
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expected[:, 0] = 0
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assert count == 1
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assert output.device.type == "cuda"
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assert module.proj.weight.device.type == "meta"
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torch.testing.assert_close(hook.weights_map["weight"], expected)
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