feat(strixhalo): add amdsmi sysfs shim to bypass glibc 2.38 requirement

The native amdsmi from ROCm 7.1 requires libamd_smi.so linked against
glibc 2.38 (Ubuntu 24.04), but the Ray base image is Ubuntu 22.04
(glibc 2.35). This caused vLLM to fail ROCm platform detection with
'No module named amdsmi' / GLIBC_2.38 not found errors.

Solution: Pure-Python amdsmi shim that reads GPU info from sysfs
(/sys/class/drm/*) instead of the native library. Provides the full
API surface used by both vLLM (platform detection, device info) and
PyTorch (device counting, memory/power/temp monitoring).

Tested in-container: vLLM detects RocmPlatform, PyTorch sees GPU
(Radeon 8060S, 128GB, HIP 7.3), DeviceConfig resolves to 'cuda'.

Changes:
- Add amdsmi-shim/ package with sysfs-backed implementation
- Update Dockerfile to install shim after vLLM/torch
- Add amdsmi-shim/ to .dockerignore explicit includes

amdsmi-shim/pyproject.toml

@@ -0,0 +1,13 @@
+[build-system]
+requires = ["setuptools>=64"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "amdsmi"
+version = "0.1.0"
+description = "Lightweight sysfs-based amdsmi shim for ROCm platform detection without libamd_smi.so"
+requires-python = ">=3.8"
+license = "MIT"
+
+[tool.setuptools.packages.find]
+include = ["amdsmi*"]