| """Record reproducible latency context without reading user/device identifiers.""" |
|
|
| import json |
| import platform |
| import subprocess |
| from pathlib import Path |
|
|
| import torch |
|
|
| info = { |
| "platform": platform.platform(), |
| "python": platform.python_version(), |
| "machine": platform.machine(), |
| "torch_threads": 4, |
| "timing_context": "interactive workstation; not isolated; brief concurrent dashboard and MPS compatibility checks", |
| } |
| if platform.system() == "Darwin": |
| for key, sysctl_name in [ |
| ("cpu", "machdep.cpu.brand_string"), |
| ("memory_bytes", "hw.memsize"), |
| ("logical_cpus", "hw.ncpu"), |
| ]: |
| value = subprocess.check_output(["sysctl", "-n", sysctl_name], text=True).strip() |
| info[key] = value if key == "cpu" else int(value) |
| if torch.backends.mps.is_available(): |
| info["gpu_name"] = torch.backends.mps.get_name() |
| info["gpu_cores"] = torch.backends.mps.get_core_count() |
| Path("reports/hardware.json").write_text(json.dumps(info, indent=2) + "\n") |
| print(json.dumps(info)) |
|
|
