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A jupyter notobook based on Quick Start Guide of: https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2
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A jupyter notobook based on Quick Start Guide of: https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2
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## Requirements
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Ensure you have the following components:
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NVIDIA Docker (https://github.com/NVIDIA/nvidia-docker)
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PyTorch 19.06-py3+ NGC container or newer (https://ngc.nvidia.com/catalog/containers/nvidia:pytorch)
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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
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Before running the Jupyter notebook, please make sure you already git clone the code from the Github:
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```bash
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git clone https://github.com/NVIDIA/DeepLearningExamples.git
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cd DeepLearningExamples/PyTorch/SpeechSynthesis/Tacotron2
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```
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Copy the Tacotron2.ipynb file into the folder 'Tacotron2'
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### Running the quick start guide as a Jupyter notebook
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### Running the quick start guide as a Jupyter notebook
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Navigate to the folder containing the scripts for the Tacotron2 example.
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To run the notebook on you local machine:
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Copy the Tacotron2.ipynb file into the folder and run:
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```bash
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jupyter notebook Tacotron2.ipynb
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```
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To run the notebook on another machine remotely:
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```bash
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```bash
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jupyter notebook --ip=0.0.0.0 --allow-root
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jupyter notebook --ip=0.0.0.0 --allow-root
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