| # Export Report | |
| - Model: H-GTCRN neural core split | |
| - ONNX: `model_convert/model.onnx` | |
| - CPU side: STFT/WPE/IVA/feature extraction and mask application/ISTFT | |
| - NPU side: ERB/SFE/Encoder/DPGRNN/Decoder/IERB, input feat -> output mask | |
| - Input: feat[1, 6, 626, 257] | |
| - Output: mask[1, 2, 626, 257] | |
| - Torch-ONNX cosine: 1.00000000 | |
| - Calibration: real sample features from 3 repository noisy wavs | |
| ## Simplification | |
| - raw size bytes: 443142 | |
| - onnxsim size bytes: 301036 | |
| - onnxslim size bytes: 325048 | |
| - slim ORT cosine: 1.00000012 | |
| - canonical ONNX: export/model.onnx | |