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add GPU number and lazy load img to GPU #437

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2 changes: 2 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -75,6 +75,8 @@ The optimizer uses PyTorch and CUDA extensions in a Python environment to produc
- 24 GB VRAM (to train to paper evaluation quality)
- Please see FAQ for smaller VRAM configurations

PS: 24 GB VRAM is not the minimum configuration. When using `--data_device cpu` to lazy load image, 8GB VRAM is already sufficient to handle most scenarios.

### Software Requirements
- Conda (recommended for easy setup)
- C++ Compiler for PyTorch extensions (we used Visual Studio 2019 for Windows)
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