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82 lines
2.5 KiB
82 lines
2.5 KiB
4 years ago
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# Installation
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To avoid the trouble of environment setup, [running in Docker container](#running-in-docker-container) is highly recommended. Otherwise follow the guidelines below to install the dependencies manually.
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## Prerequisites
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- Python >= 3.7
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- PaddlePaddle 2.0.0 or later (please refer to the [Installation Guide](https://www.paddlepaddle.org.cn/documentation/docs/en/beginners_guide/index_en.html))
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## Setup
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- Make sure these libraries or tools installed: `pkg-config`, `flac`, `ogg`, `vorbis`, `boost` and `swig`, e.g. installing them via `apt-get`:
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```bash
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sudo apt-get install -y pkg-config libflac-dev libogg-dev libvorbis-dev libboost-dev swig python3-dev
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```
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or, installing them via `yum`:
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```bash
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sudo yum install pkgconfig libogg-devel libvorbis-devel boost-devel python3-devel
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wget https://ftp.osuosl.org/pub/xiph/releases/flac/flac-1.3.1.tar.xz
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xz -d flac-1.3.1.tar.xz
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tar -xvf flac-1.3.1.tar
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cd flac-1.3.1
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./configure
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make
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make install
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```
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- Run the setup script for the remaining dependencies
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```bash
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git clone https://github.com/PaddlePaddle/DeepSpeech.git
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cd DeepSpeech
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pushd tools; make; popd
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source tools/venv/bin/activate
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bash setup.sh
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```
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- Source venv before do experiment.
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```bash
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source tools/venv/bin/activate
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```
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## Running in Docker Container
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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](https://hub.docker.com) with all the dependencies installed, including the pre-built PaddlePaddle, CTC decoders, and other necessary Python and third-party packages. This Docker image requires the support of NVIDIA GPU, so please make sure its availiability and the [nvidia-docker](https://github.com/NVIDIA/nvidia-docker) has been installed.
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Take several steps to launch the Docker image:
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- Download the Docker image
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For example, pull paddle 2.0.0 image:
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```bash
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nvidia-docker pull registry.baidubce.com/paddlepaddle/paddle:2.0.0-gpu-cuda10.1-cudnn7
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```
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- Clone this repository
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```
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git clone https://github.com/PaddlePaddle/DeepSpeech.git
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```
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- Run the Docker image
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```bash
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sudo nvidia-docker run --rm -it -v $(pwd)/DeepSpeech:/DeepSpeech registry.baidubce.com/paddlepaddle/paddle:2.0.0-gpu-cuda10.1-cudnn7 /bin/bash
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```
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Now you can execute training, inference and hyper-parameters tuning in the Docker container.
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- Install PaddlePaddle
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For example, for CUDA 10.1, CuDNN7.5 install paddle 2.0.0:
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```bash
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python3 -m pip install paddlepaddle-gpu==2.0.0
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```
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