mirror of
https://github.com/Heretek-AI/CachyLLama-BUILDER.git
synced 2026-10-11 20:59:54 +00:00
John Smith
944f56ba73
- Remove build-bundle-macos from build-llama-ai-bundle.yml. - Remove windows-cpu and macos-metal from build-cachyllama-all.yml. - Remove build-windows from build-cachyllama-rocm.yml. - Remove test-windows from test-cachyllama-rocm.yml. - Streamline all workflows, scripts, and documentation for Linux builds.
114 lines
5.1 KiB
Python
Executable File
114 lines
5.1 KiB
Python
Executable File
#!/usr/bin/env python3
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# SPDX-License-Identifier: MIT
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# Copyright (c) 2026 Heretek AI
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"""
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===============================================================================
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CachyLLama-BUILDER: Release Notes & Checksum Generator
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===============================================================================
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Generates Markdown release notes for automated GitHub Releases, including:
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- Upstream commit links (fewtarius/CachyLLama and fewtarius/llama-ai)
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- Detected ROCm version from AMD TheRock multi-arch index
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- Detailed description of targeted AMD APU & GPU architectures
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- Computed SHA256 checksums and file size table for all built archives
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"""
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import argparse
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import datetime
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import hashlib
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import os
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from pathlib import Path
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# Human-readable hardware descriptions for AMD GPU target architectures
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GPU_TARGET_DESCRIPTIONS = {
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"gfx1151": "AMD Strix Halo (Ryzen AI Max+ 395 / Radeon 8060S - 128 GB Unified Memory)",
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"gfx1150": "AMD Strix Point (Ryzen AI 9 HX 370 / 365 / Radeon 890M / 880M)",
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"gfx120X": "AMD RDNA4 Architecture (gfx1200, gfx1201)",
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"gfx110X": "AMD RDNA3 Architecture (Radeon 780M / 760M / RX 7900 XTX / 7900 XT / 7800 XT)",
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"gfx103X": "AMD RDNA2 Architecture (Steam Deck / Van Gogh 0405 / 680M / RX 6000 series)",
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"gfx90a": "AMD CDNA2 Architecture (Instinct MI200 / MI250X Data Center Accelerators)",
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"gfx908": "AMD CDNA Architecture (Instinct MI100 Data Center Accelerators)",
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}
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def calculate_sha256(file_path: Path) -> str:
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"""Compute SHA256 hex digest for a file efficiently in 64KB chunks."""
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sha256 = hashlib.sha256()
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with open(file_path, "rb") as f:
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for chunk in iter(lambda: f.read(65536), b""):
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sha256.update(chunk)
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return sha256.hexdigest()
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def main():
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parser = argparse.ArgumentParser(description="Generate release notes for CachyLLama builds")
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parser.add_argument("--tag", required=True, help="Release tag (e.g., b1001)")
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parser.add_argument("--cachyllama-commit", default="latest", help="CachyLLama commit hash")
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parser.add_argument("--llama-ai-commit", default="latest", help="llama-ai commit hash")
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parser.add_argument("--rocm-version", default="N/A", help="ROCm version used (e.g. 7.14.0a20260612)")
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parser.add_argument("--targets", default="", help="Comma-separated GPU targets (e.g. gfx1151,gfx1150)")
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parser.add_argument("--os-list", default="ubuntu", help="Comma-separated OS list")
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parser.add_argument("--artifacts-dir", type=Path, default=Path("."), help="Directory containing release archives")
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parser.add_argument("--output", type=Path, default=Path("release_notes.md"), help="Output markdown file")
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args = parser.parse_args()
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targets = [t.strip() for t in args.targets.split(",") if t.strip()]
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os_list = [o.strip() for o in args.os_list.split(",") if o.strip()]
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now = datetime.datetime.now(datetime.timezone.utc).strftime("%Y-%m-%d %H:%M:%S UTC")
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lines = [
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f"# CachyLLama & llama-ai Release `{args.tag}`",
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"",
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f"**Build Date**: `{now}` ",
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f"**CachyLLama Source**: [`{args.cachyllama_commit}`](https://github.com/fewtarius/CachyLLama/commit/{args.cachyllama_commit}) ",
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]
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if args.llama_ai_commit != "latest":
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lines.append(f"**llama-ai Source**: [`{args.llama_ai_commit}`](https://github.com/fewtarius/llama-ai/commit/{args.llama_ai_commit}) ")
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if args.rocm_version != "N/A":
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lines.append(f"**ROCm Toolchain**: `{args.rocm_version}` (AMD TheRock Multi-Arch Nightly)")
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lines.extend([
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"",
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"## 🎮 Supported AMD GPU / APU Architectures",
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"",
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])
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for target in targets:
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desc = GPU_TARGET_DESCRIPTIONS.get(target, "AMD GPU target")
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lines.append(f"- **`{target}`**: {desc}")
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lines.extend([
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"",
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"## 🚀 Highlights & Features in this Release",
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"- **Zero Host Dependencies**: Standalone binaries bundle all required runtime libraries (`rocblas`, `hipblaslt`, `amd_comgr`, DLLs/.so).",
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"- **$ORIGIN RPATH Portability**: Linux binaries dynamically link locally with zero system package collisions.",
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"- **CachyLLama APU Subsystems**: Persistent SSD-backed KV cache, MoE expert residency, DeepSeek-V4 Lightning Indexer, and dynamic prompt cache reuse.",
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"- **llama-ai Ready**: Fully compatible with the optimistic-first APU profile solver (`scripts/optimize.sh`) and `llama-run.sh`.",
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"",
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])
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# Discover built archive files and generate SHA256 checksum table
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archive_files = list(args.artifacts_dir.glob("*.zip")) + list(args.artifacts_dir.glob("*.tar.gz"))
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if archive_files:
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lines.extend([
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"## 🔐 SHA256 Checksums",
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"",
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"| Filename | Size (MB) | SHA256 Checksum |",
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"| :--- | :---: | :--- |",
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])
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for f in sorted(archive_files):
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size_mb = f.stat().st_size / (1024 * 1024)
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sha = calculate_sha256(f)
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lines.append(f"| `{f.name}` | {size_mb:.1f} MB | `{sha}` |")
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lines.append("")
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content = "\n".join(lines)
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args.output.write_text(content, encoding="utf-8")
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print(f"[OK] Generated release notes at {args.output}")
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if __name__ == "__main__":
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main()
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