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Readme: added a note about GPU inference with onnxruntime.

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mush42
2023-09-24 02:13:27 +02:00
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@@ -221,6 +221,12 @@ You can also control synthesis parameters:
python3 -m matcha.onnx.infer model.onnx --text "hey" --output-dir ./outputs --temperature 0.4 --speaking_rate 0.9 --spk 0 python3 -m matcha.onnx.infer model.onnx --text "hey" --output-dir ./outputs --temperature 0.4 --speaking_rate 0.9 --spk 0
``` ```
To run inference on **GPU**, make sure to install **onnxruntime-gpu** package, and then pass `--gpu` to the inference command:
```bash
python3 -m matcha.onnx.infer model.onnx --text "hey" --output-dir ./outputs --gpu
```
If you exported only Matcha to ONNX, this will write mel-spectrogram as graphs and `numpy` arrays to the output directory. If you exported only Matcha to ONNX, this will write mel-spectrogram as graphs and `numpy` arrays to the output directory.
If you embedded the vocoder in the exported graph, this will write `.wav` audio files to the output directory. If you embedded the vocoder in the exported graph, this will write `.wav` audio files to the output directory.