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updating readme

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Shivam Mehta
2023-09-16 19:02:38 +00:00
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@@ -154,7 +154,13 @@ or
python matcha/train.py experiment=ljspeech
```
for multi-gpu training, run
- for a minimum memory run
```bash
python matcha/train.py experiment=ljspeech_min_memory
```
- for multi-gpu training, run
```bash
python matcha/train.py experiment=ljspeech trainer.devices=[0,1]
@@ -162,10 +168,11 @@ python matcha/train.py experiment=ljspeech trainer.devices=[0,1]
## Acknowledgements
Since this code uses: [Lightning-Hydra-Template](https://github.com/ashleve/lightning-hydra-template), you have all the powers attached to it.
Since this code uses: [Lightning-Hydra-Template](https://github.com/ashleve/lightning-hydra-template), you have all the powers that comes with it.
Other source codes I would like to acknowledge:
- [Coqui-TTS](https://github.com/coqui-ai/TTS/tree/dev)
- [Grad-TTS](https://github.com/huawei-noah/Speech-Backbones/tree/main/Grad-TTS)
- [torchdyn](https://github.com/DiffEqML/torchdyn)
- [Coqui-TTS](https://github.com/coqui-ai/TTS/tree/dev) : For helping me figure out how to make cython binaries pip installable
- [Grad-TTS](https://github.com/huawei-noah/Speech-Backbones/tree/main/Grad-TTS): For source code of MAS
- [torchdyn](https://github.com/DiffEqML/torchdyn): Useful for trying other ODE solvers during development
- [labml.ai](https://nn.labml.ai/transformers/rope/index.html): For RoPE implementation