Spaces:
Paused
Paused
| # quantize_onnx.py | |
| from pathlib import Path | |
| from onnxruntime.quantization import quantize_dynamic, QuantType | |
| import argparse | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--in_dir", default="onnx_models") | |
| parser.add_argument("--out_dir", default="onnx_models_quant") | |
| args = parser.parse_args() | |
| Path(args.out_dir).mkdir(parents=True, exist_ok=True) | |
| for fname in ["text_encoder.onnx", "unet.onnx", "vae_decoder.onnx"]: | |
| in_path = Path(args.in_dir) / fname | |
| out_path = Path(args.out_dir) / fname | |
| if not in_path.exists(): | |
| print("Missing:", in_path) | |
| continue | |
| print("Quantizing", in_path, "->", out_path) | |
| # Dynamic quantization (weights -> INT8 where supported) | |
| quantize_dynamic(str(in_path), str(out_path), weight_type=QuantType.QUInt8) | |
| print("Wrote", out_path) |