February 2026: PyTorch gfx950 ROCm CI benchmarking stabilized and aligned post ROCm 7.2 upgrade. Key work delivered updated expected benchmarks and CI checks for gfx950, with target models including alexnet, demucs, mobilenet_v3_large, and mnasnet1_0. Two commits updated expected benchmarks for gfx950 (#174157) (f7734631f4e1f3a9d734951bde16bf3073b169fc; 9a40706f5bb59bb23de3951404ab45363322cee1). Major fixes addressed pass/fail and accuracy gating in CI to reflect the updated ROCm environment. Ongoing work includes investigating flaky graph breaks for mobilenet_v3_large on gfx950 runners. Impact: more reliable CI signals for the gfx950 ROCm path, reduced false negatives, and faster, trustworthy iteration on GPU backends. Skills demonstrated: ROCm environment handling, CI/test automation, benchmarking accuracy validation, and traceability through commit references.