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- real_lm_experiment.py: add --device flag (cuda/rocm/xpu/mps/cpu); auto-detection extended to AMD ROCm (HIP) and Intel XPU/Arc; community-tested backends print issue link in device output - requirements-lock.txt: add install commands for ROCm 6.x, Intel XPU, CUDA 12.4+, MPS with per-backend verified/community-tested labels; fix incorrect ABI comment left by dependabot bump - Dockerfile: update to current pinned versions (numpy 2.4.5 etc.); clarify CPU-only scope and point to Dockerfile.cuda for GPU - Dockerfile.cuda: new NVIDIA CUDA 12.1 image (nvidia/cuda:12.1.1-runtime-ubuntu22.04); verified on RTX 4070 SUPER with torch 2.3.1+cu121 - .github/ISSUE_TEMPLATE/hardware_compat.md: hardware compatibility report template for ROCm/XPU/MPS community contributors - README.md: GPU table with test-status column; Docker sub-section; CI hardware gap note; link to hardware compat template - REPRODUCE.md: hardware test matrix; untested hardware help-wanted section - CHANGELOG.md: document all changes under [Unreleased] Co-Authored-By: Oz <oz-agent@warp.dev>
Co-Authored-By: Oz <oz-agent@warp.dev>
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Adds community GPU support, honest test-gap documentation, and a hardware bug-reporting path.
What's in this PR
New files:
vidia/cuda:12.1.1-runtime-ubuntu22.04, torch 2.3.1+cu121)
Experiment harness (
eal_lm_experiment.py):
ocm, \xpu, \mps, \cpu\
Requirements / Docker:
equirements-lock.txt: install instructions for all backends (ROCm 6.x, Intel XPU, CUDA 12.4+, MPS) with verified/community labels; fix incorrect ABI comment from dependabot bump
Docs:
Co-Authored-By: Oz oz-agent@warp.dev