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DeepLearningExamples/PyTorch/SpeechSynthesis/Tacotron2/notebooks
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Przemek Strzelczyk 5e3b487b89 [Tacotron2/PyT] custom TensorRT backend on TensorRT Inference Server; Conversional AI demo; fixed checkpoints loading; fixed FP16 export to TensorRT
2020-04-02 17:18:26 +02:00
..
conversationalai [Tacotron2/PyT] custom TensorRT backend on TensorRT Inference Server; Conversional AI demo; fixed checkpoints loading; fixed FP16 export to TensorRT 2020-04-02 17:18:26 +02:00
trtis [Tacotron2/PyT] custom TensorRT backend on TensorRT Inference Server; Conversional AI demo; fixed checkpoints loading; fixed FP16 export to TensorRT 2020-04-02 17:18:26 +02:00
README.md added TRTIS demo to Tacotron2 (#281) 2019-11-06 19:46:35 +01:00
Tacotron2.ipynb update readme of notebook (#229) 2019-10-01 19:41:26 +02:00

README.md

Tacotron2 and WaveGlow

A jupyter notobook based on Quick Start Guide of: https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2

Requirements

Ensure you have the following components:

NVIDIA Docker (https://github.com/NVIDIA/nvidia-docker) PyTorch 19.06-py3+ NGC container or newer (https://ngc.nvidia.com/catalog/containers/nvidia:pytorch) NVIDIA Volta (https://www.nvidia.com/en-us/data-center/volta-gpu-architecture/) or Turing (https://www.nvidia.com/en-us/geforce/turing/) based GPU

Before running the Jupyter notebook, please make sure you already git clone the code from the Github:

git clone https://github.com/NVIDIA/DeepLearningExamples.git 
    
cd DeepLearningExamples/PyTorch/SpeechSynthesis/Tacotron2

Copy the Tacotron2.ipynb file into the folder 'Tacotron2'

cp notebooks/Tacotron2.ipynb .

Running the quick start guide as a Jupyter notebook

To run the notebook on you local machine:

jupyter notebook Tacotron2.ipynb

To run the notebook remotely:

jupyter notebook --ip=0.0.0.0 --allow-root

And navigate a web browser to the IP address or hostname of the host machine at port 8888:

http://[host machine]:8888

Use the token listed in the output from running the jupyter command to log in, for example:

http://[host machine]:8888/?token=aae96ae9387cd28151868fee318c3b3581a2d794f3b25c6b