Building Running with Docker

wav2letter++ and its dependencies can also be built with the provided Dockerfile. Both CUDA and CPU backends are supported with Docker

To build wav2letter++ with Docker:

• Install Docker and, if using the CUDA backend, nvidia-docker

• Run the docker image with CUDA/CPU backend in a new container:

  # with CUDA backend
  sudo docker run --runtime=nvidia --rm -itd --ipc=host --name w2l wav2letter/wav2letter:cuda-latest
  # or with CPU backend
  sudo docker run --rm -itd --ipc=host --name w2l wav2letter/wav2letter:cpu-latest
  sudo docker exec -it w2l bash
  

• To run tests inside a container

  cd /root/wav2letter/build && make test
  

• Build Docker image from the source (using --no-cache will provide the latest version of flashlight inside the image if you have built the image previously for earlier versions of wav2letter):

  git clone --recursive https://github.com/facebookresearch/wav2letter.git
  cd wav2letter
  # for CUDA backend
  sudo docker build --no-cache -f ./Dockerfile-CUDA -t wav2letter .
  # for CPU backend
  sudo docker build --no-cache -f ./Dockerfile-CPU -t wav2letter .
  

  For logging during training/testing/decoding inside a container, use the --logtostderr=1 --minloglevel=0 flag.