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Move tensorflow-gpu to requirements_gpu.txt (CorentinJ#399)
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blue-fish authored Jul 4, 2020
1 parent f6fabea commit 563475c
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -40,7 +40,7 @@ You will need the following whether you plan to use the toolbox only or to retra

Run `pip install -r requirements.txt` to install the necessary packages. Additionally you will need [PyTorch](https://pytorch.org/get-started/locally/) (>=1.0.1).

A GPU is mandatory, but you don't necessarily need a high tier GPU if you only want to use the toolbox.
If you have a GPU, run `pip install -r requirements_gpu.txt` to enable GPU support. A GPU is recommended, but it is not required to use the toolbox.

### Pretrained models
Download the latest [here](https://github.com/CorentinJ/Real-Time-Voice-Cloning/wiki/Pretrained-models).
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4 changes: 0 additions & 4 deletions requirements.txt
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# each portion of tensorflow is needed
# core package is for RNN, cpu and gpu are for specific system speed-ups
tensorflow==1.15
tensorflow-cpu==1.15
tensorflow-gpu==1.15
umap-learn
visdom
librosa>=0.5.1
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5 changes: 5 additions & 0 deletions requirements_gpu.txt
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# This is a list of recommended packages that also enables GPU support.
# You will also need the packages listed in requirements.txt

tensorflow-gpu==1.15 # Enables GPU support for synthesizer
webrtcvad # Better noise reduction when processing audio files

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