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PaddleSpeech/docs/source/install.md

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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

Simple Setup

For user who working on Ubuntu with root privilege.

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

For user who only needs the basic function of paddlespeech, using conda to do installing is recommended. You can go to minicoda to select a version and install it by yourself, or you can use the scripts below to install the last miniconda version.

pushd tools
bash extras/install_miniconda.sh
popd
bash

After installing the conda, run the setup.sh to complete the installing process.

bash setup.sh

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.