From 821bfeba5d92621b2fb5898c6a21e80530be8b9d Mon Sep 17 00:00:00 2001 From: rafaelvalle Date: Wed, 3 Apr 2019 13:51:36 -0800 Subject: [PATCH] README.md: adding instructions to install apex --- README.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index d370c60..5300707 100755 --- a/README.md +++ b/README.md @@ -6,8 +6,7 @@ Wavenet On Mel Spectrogram Predictions](https://arxiv.org/pdf/1712.05884.pdf). This implementation includes **distributed** and **fp16** support and uses the [LJSpeech dataset](https://keithito.com/LJ-Speech-Dataset/). -Distributed and FP16 support relies on work by Christian Sarofeen and NVIDIA's -[Apex Library](https://github.com/nvidia/apex). +Distributed and FP16 support uses NVIDIA's [Apex] and [AMP]. Visit our [website] for audio samples using our published [Tacotron 2] and [WaveGlow] models. @@ -26,7 +25,8 @@ Visit our [website] for audio samples using our published [Tacotron 2] and 5. Update .wav paths: `sed -i -- 's,DUMMY,ljs_dataset_folder/wavs,g' filelists/*.txt` - Alternatively, set `load_mel_from_disk=True` in `hparams.py` and update mel-spectrogram paths 6. Install [PyTorch 1.0] -7. Install python requirements or build docker image +7. Install [Apex] +8. Install python requirements or build docker image - Install python requirements: `pip install -r requirements.txt` ## Training @@ -77,3 +77,5 @@ Wang and Zongheng Yang. [pytorch 1.0]: https://github.com/pytorch/pytorch#installation [website]: https://nv-adlr.github.io/WaveGlow [ignored]: https://github.com/NVIDIA/tacotron2/blob/master/hparams.py#L22 +[Apex]: https://github.com/nvidia/apex +[AMP]: https://github.com/NVIDIA/apex/tree/master/apex/amp \ No newline at end of file