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PYTORCH RTX 5070 BUILD SESSION SUMMARY
Date: July 24, 2025
Machine: Desiree (i9-14900F, 32GB RAM, RTX 5070 12GB)
CUDA Version: 12.9
Build Status: COMPILATION SUCCESSFUL 
[DMorford/TorchinDesiree: 
Build logs, config notes, and experimental attempts for compiling PyTorch with CUDA support on the bleeding-edge RTX 5070 GPU (Desiree). Raw documentation of GPU pain, progress, and persistence in the quest for AI acceleration.]
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WHAT WE ACCOMPLISHED
MAJOR SUCCESS: PyTorch Build Completed
- Ninja build finished successfully
- All CUDA 12.9 extensions compiled
- RTX 5070 Blackwell architecture (sm_120) properly targeted
- Build artifacts generated and installed
Environment Setup Perfected
- x64 Native Tools Command Prompt properly configured
- Python 3.11.9 virtual environment working
- CUDA 12.9 + RTX 5070 driver compatibility confirmed
- All build dependencies installed and verified
Build Optimization
- 18 parallel jobs utilized (perfect for i9-14900F)
- Response files enabled to prevent Windows linking issues
- Clean build environment with no conflicting artifacts
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CURRENT ISSUE
Import/Extension Linking Issue
- PyTorch builds successfully but import fails
- C extensions not properly linked to Python environment
- Common issue with Windows custom PyTorch builds
- Error: “Failed to load PyTorch C extensions”