Installation

• Docker at least of version 17.05 is required. See Official Docker's documentation for installation instruction for your operating system

• Install torchlambda through pip, Python version 3.6 or higher is needed. You could also install this software within conda or other virutal environment of your choice. Following command should be sufficient:

  $ pip install --user torchlambda

torchlambda provides pre-built deployment images tagged after PyTorch versions and rebuilt daily. Following images are currently available:

• szymonmaszke/torchlambda:latest (head of current PyTorch master branch)
• szymonmaszke/torchlambda:1.5.0
• szymonmaszke/torchlambda:1.4.0 (discouraged due to unstable PyTorch C++ frontend)

You can find the tags on DockerHub.

If you want to use specific version pull them before using torchlambda build, for example:

docker pull szymonmaszke/torchlambda:v1.5.0

You don't have to pull latest beforehand, it will be automatically used if custom image build wasn't run.

For more information refer to torchlambda build documentation (and to see how to build your own image from scratch).