iGavroche-rocm-ninodes

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iGavroche 281472e0e4 v2.1.1: shared arch detection, sampler auto-detect for z-image/ernie/ideogram4

- Extract detect_architecture() to shared rocm_nodes/utils/architecture.py
- ROCm KSampler now auto-detects GPU architecture + model type at runtime:
  - Flow-matching models (z-image, ernie, ideogram4) logged and optimized
  - Pixel-space models (z-image-turbo) recognized — no VAE decode needed
  - High-memory models (ideogram4, factor 11.6x) get automatic cleanup
  - Architecture-aware backend settings (TF32, fp16 accumulation)
- ROCmSamplerPerformanceMonitor now model-type + architecture aware
- ROCmVAEPerformanceMonitor uses shared architecture detection
- Fix ProgressBar mock in test conftest
- Add flow-matching and pixel-space model detection tests
- Update KSampler/PerfMonitor README docs

2026-06-12 17:49:56 -04:00

benchmarks

chore(release): bump version to 2.0.11 and update documentation

2026-03-08 11:35:08 -04:00

integration

chore(release): bump version to 2.0.11 and update documentation

2026-03-08 11:35:08 -04:00

unit

v2.1.1: shared arch detection, sampler auto-detect for z-image/ernie/ideogram4

2026-06-12 17:49:56 -04:00

__init__.py

✅ COMPLETE: ROCM Performance Recovery & Testing Infrastructure