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Installation

To avoid the trouble of environment setup, running in Docker container is highly recommended. Otherwise follow the guidelines below to install the dependencies manually.

Prerequisites

Python >= 3.7
PaddlePaddle latest version (please refer to the Installation Guide)

Simple Setup

For user who working on Ubuntu with root privilege.

git clone https://github.com/PaddlePaddle/DeepSpeech.git
cd DeepSpeech
pip install -e .

Setup (Other Platform)

Make sure these libraries or tools in dependencies installed. More information please see: setup.py and tools/Makefile.
The version of swig should >= 3.0
we will do more to simplify the install process.

Running in Docker Container (optional)

Docker is an open source tool to build, ship, and run distributed applications in an isolated environment. A Docker image for this project has been provided in hub.docker.com with all the dependencies installed. This Docker image requires the support of NVIDIA GPU, so please make sure its availiability and the nvidia-docker has been installed.

Take several steps to launch the Docker image:

Download the Docker image

For example, pull paddle 2.0.0 image:

nvidia-docker pull registry.baidubce.com/paddlepaddle/paddle:2.0.0-gpu-cuda10.1-cudnn7

Clone this repository

git clone https://github.com/PaddlePaddle/DeepSpeech.git

Run the Docker image

sudo nvidia-docker run --rm -it -v $(pwd)/DeepSpeech:/DeepSpeech registry.baidubce.com/paddlepaddle/paddle:2.0.0-gpu-cuda10.1-cudnn7 /bin/bash

Now you can execute training, inference and hyper-parameters tuning in the Docker container.

Install PaddlePaddle

For example, for CUDA 10.1, CuDNN7.5 install paddle 2.0.0:

python3 -m pip install paddlepaddle-gpu==2.0.0

Install Deepspeech

Please see Setup section.

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