Add CUDA binary compression test script

GitHub has a 2GB limit on release assets, but the CUDA binary is ~2.5GB. Added compression test script to check if 7z can get it under the limit. If not, we'll need external hosting (S3/Azure).
This commit is contained in:
Jamie Pine
2026-01-30 23:37:29 -08:00
parent 2542f64e1b
commit 8ffd5bc008
2 changed files with 259 additions and 0 deletions
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#!/usr/bin/env python3
"""
Test CUDA binary compression to verify it fits under GitHub's 2GB release asset limit.
Usage:
python test_cuda_compression.py [path/to/voicebox-server-cuda.exe]
If no path provided, looks for the binary in ./dist/
"""
import os
import sys
import subprocess
from pathlib import Path
def format_size(bytes_size):
"""Format bytes into human-readable size."""
for unit in ['B', 'KB', 'MB', 'GB']:
if bytes_size < 1024.0:
return f"{bytes_size:.2f} {unit}"
bytes_size /= 1024.0
return f"{bytes_size:.2f} TB"
def get_file_size(filepath):
"""Get file size in bytes."""
return os.path.getsize(filepath)
def compress_with_7z(input_file, output_file):
"""Compress file using 7z with maximum compression."""
print(f"\nCompressing with 7z (maximum compression)...")
print(f"This may take several minutes for a ~2.5GB file...\n")
cmd = [
'7z', 'a',
'-t7z', # 7z format
'-m0=lzma2', # LZMA2 compression
'-mx=9', # Maximum compression
'-mfb=64', # Fast bytes
'-md=32m', # Dictionary size
'-ms=on', # Solid archive
output_file,
input_file
]
try:
subprocess.run(cmd, check=True, capture_output=True, text=True)
return True
except subprocess.CalledProcessError as e:
print(f"Error during compression: {e}")
print(f"stderr: {e.stderr}")
return False
except FileNotFoundError:
print("ERROR: 7z not found. Please install 7-Zip:")
print(" Windows: https://www.7-zip.org/download.html")
print(" macOS: brew install p7zip")
print(" Linux: apt-get install p7zip-full")
return False
def main():
# Find CUDA binary
if len(sys.argv) > 1:
cuda_binary = Path(sys.argv[1])
else:
# Look in dist directory
dist_dir = Path(__file__).parent / 'dist'
candidates = list(dist_dir.glob('voicebox-server-cuda*.exe'))
if not candidates:
print("ERROR: CUDA binary not found in ./dist/")
print("Please provide the path as an argument:")
print(" python test_cuda_compression.py path/to/voicebox-server-cuda.exe")
sys.exit(1)
cuda_binary = candidates[0]
if not cuda_binary.exists():
print(f"ERROR: File not found: {cuda_binary}")
sys.exit(1)
print("=" * 70)
print("CUDA Binary Compression Test")
print("=" * 70)
# Get original size
original_size = get_file_size(cuda_binary)
print(f"\nOriginal file: {cuda_binary.name}")
print(f"Original size: {format_size(original_size)} ({original_size:,} bytes)")
# Check if already over 2GB
github_limit = 2 * 1024 * 1024 * 1024 # 2GB in bytes
print(f"GitHub limit: {format_size(github_limit)} ({github_limit:,} bytes)")
if original_size > github_limit:
print(f"\n⚠️ Original file exceeds GitHub limit by {format_size(original_size - github_limit)}")
else:
print(f"\n✓ Original file is under GitHub limit")
# Compress
output_file = cuda_binary.parent / f"{cuda_binary.stem}.7z"
if output_file.exists():
print(f"\nRemoving existing compressed file: {output_file.name}")
output_file.unlink()
success = compress_with_7z(cuda_binary, output_file)
if not success:
sys.exit(1)
# Check compressed size
compressed_size = get_file_size(output_file)
compression_ratio = (1 - compressed_size / original_size) * 100
print("\n" + "=" * 70)
print("Compression Results")
print("=" * 70)
print(f"\nCompressed file: {output_file.name}")
print(f"Compressed size: {format_size(compressed_size)} ({compressed_size:,} bytes)")
print(f"Compression ratio: {compression_ratio:.1f}%")
print(f"Space saved: {format_size(original_size - compressed_size)}")
if compressed_size <= github_limit:
print(f"\n✅ SUCCESS: Compressed file fits under GitHub's 2GB limit!")
print(f" Margin: {format_size(github_limit - compressed_size)} remaining")
else:
print(f"\n❌ FAILED: Compressed file still exceeds GitHub limit")
print(f" Over by: {format_size(compressed_size - github_limit)}")
print(f"\n Alternative: Host on external storage (S3, Azure Blob, etc.)")
print("\n" + "=" * 70)
if __name__ == '__main__':
main()
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# GitHub 2GB Release Asset Limit Issue
## Problem
The CUDA server binary upload fails in CI with:
```
Error: File size (2543828017) is greater than 2 GiB
```
GitHub release assets have a hard limit of 2GB per file. Our CUDA binary is ~2.5GB, which exceeds this limit.
## Background
The dual-server binary system (see `dual-server-binaries.md`) creates two binaries:
- **CPU binary**: ~500MB ✅ Works fine
- **CUDA binary**: ~2.5GB ❌ Exceeds GitHub limit
## Attempted Solution: Compression
We're testing 7z compression with maximum settings to see if we can squeeze the CUDA binary under 2GB.
### Test Script
Run `backend/test_cuda_compression.py` to test compression locally:
```bash
cd backend
python test_cuda_compression.py
```
This will:
1. Find the CUDA binary in `dist/`
2. Compress it with 7z (maximum compression)
3. Report if the compressed size fits under 2GB
### Expected Compression
PyTorch CUDA binaries typically compress well since they contain:
- Repeated patterns in neural network weights
- Debug symbols and metadata
- Redundant CUDA libraries
Estimated compression: 30-40% reduction
- Original: ~2.5GB
- Target: <2GB
- Required compression: >20%
## Fallback: External Hosting
If compression doesn't work, we'll need to host the CUDA binary externally:
### Option 1: AWS S3
```yaml
- name: Upload CUDA binary to S3
run: |
aws s3 cp backend/cuda-release/voicebox-server-cuda-*.exe \
s3://voicebox-releases/cuda-binaries/${{ github.ref_name }}/
```
### Option 2: Azure Blob Storage
```yaml
- name: Upload to Azure Blob
run: |
az storage blob upload \
--account-name voiceboxreleases \
--container-name cuda-binaries \
--file backend/cuda-release/voicebox-server-cuda-*.exe
```
### Option 3: GitHub Packages (Container Registry)
Package as a container image, though this adds complexity for desktop app distribution.
## Implementation Plan
1. **Test compression locally** ← Current step
2. **If compression works (<2GB)**:
- Update CI to compress before upload
- Update app to handle .7z downloads
- Add extraction step in download manager
3. **If compression fails (≥2GB)**:
- Set up external storage (likely S3)
- Update CI to upload to S3
- Provide download URL in release notes
- Update app download manager to fetch from S3
## CI Workflow Changes (if compression works)
```yaml
- name: Compress CUDA binary (Windows only)
if: matrix.platform == 'windows-latest'
shell: bash
run: |
cd backend/cuda-release
7z a -t7z -m0=lzma2 -mx=9 -mfb=64 -md=32m -ms=on \
voicebox-server-cuda-x86_64-pc-windows-msvc.7z \
voicebox-server-cuda-*.exe
- name: Upload compressed CUDA server (Windows only)
if: matrix.platform == 'windows-latest'
uses: softprops/action-gh-release@v1
with:
files: backend/cuda-release/*.7z
```
## User Experience Impact
### With Compression
- Download: `voicebox-server-cuda-*.7z` (~1.5-1.8GB)
- App extracts automatically
- One extra step but manageable
### With External Hosting
- Download from S3/Azure URL
- No GitHub release asset dependency
- Potentially faster download speeds (CDN)
## Status
🔄 **Testing compression locally to determine viability**
Results pending from local test run.