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Eren Golge
2018-01-26 12:06:37 +01:00
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@@ -19,15 +19,15 @@ Currently TTS provides data loaders for
- [LJ Speech](https://keithito.com/LJ-Speech-Dataset/)
## Training the network
To run your own training, you need to define a ```config.json``` file (simple template below) and call the following command.
To run your own training, you need to define a ```config.json``` file (simple template below) and call with the command.
```train.py --config_path config.json```
If you like to use specific GPUs.
If you like to use specific set of GPUs.
```CUDA_VISIBLE_DEVICES="0,1,4" train.py --config_path config.json```
Each run creates a experiment folder with the corresponfing date and time, under the folder you set in ```config.json```. And if there is no checkpoint yet under that folder, it is going to be removed when you Ctrl+C.
Each run creates an experiment folder with the corresponfing date and time, under the folder you set in ```config.json```. And if there is no checkpoint yet under that folder, it is going to be removed when you press Ctrl+C.
Example ```config.json```:
```