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nvdocker is library built on top of the docker-py python sdk to build and run docker containers using nvidia-docker. Targets nvidia-docker2

Project description


nvdocker is library built on top of the docker-py python sdk to build
and run docker containers using nvidia-docker.

Targets nvidia-docker2


- Install nvidia-docker

- Install nvdocker


pip install nvdocker


These variables are already set in NVIDIA's `official CUDA
images <>`__.


This variable controls which GPUs will be made accessible inside the

- Possible values:

- ``0,1,2``, ``GPU-fef8089b`` …: a comma-separated list of GPU
UUID(s) or index(es),
- ``all``: all GPUs will be accessible, this is the default value in
our container images,
- ``none``: no GPU will be accessible, but driver capabilities will
be enabled.
- ``void`` or *empty* or *unset*: ``nvidia-container-runtime`` will
have the same behavior as ``runc``.


This option controls which driver libraries/binaries will be mounted
inside the container.

- Possible values

- ``compute,video,graphics,utility`` …: a comma-separated list of
driver features the container needs,
- ``all``: enable all available driver capabilities.
- *empty* or *unset*: use default driver capability: ``utility``.

- Supported driver capabilities

- ``compute``: required for CUDA and OpenCL applications,
- ``compat32``: required for running 32-bit applications,
- ``graphics``: required for running OpenGL and Vulkan applications,
- ``utility``: required for using ``nvidia-smi`` and NVML,
- ``video``: required for using the Video Codec SDK.


A logical expression to define constraints on the configurations
supported by the container.

- Supported constraints

- ``cuda``: constraint on the CUDA driver version,
- ``driver``: constraint on the driver version,
- ``arch``: constraint on the compute architectures of the selected


| Multiple constraints can be expressed in a single environment
variable: space-separated constraints are ORed, comma-separated
constraints are ANDed.
| Multiple environment variables of the form ``rew`` are ANDed together.


The version of the CUDA toolkit used by the container. If the version of the NVIDIA driver is insufficient to run this
version of CUDA, the container will not be started.

Possible values

- ``cuda>=7.5``, ``cuda>=8.0``, ``cuda>=9.0`` …: any valid CUDA version
in the form ``major.minor``.


| Similar to ``NVIDIA_REQUIRE_CUDA``, for legacy CUDA images.
| In addition, if ``NVIDIA_REQUIRE_CUDA`` is not set,
default to ``all``.


Single switch to disable all the constraints of the form

Copyright and License

This project is released under the `UIUC/NCSA
License <>`__.
``docker-py`` is licensed under the `Apache License
2.0 <>`__.
nvidia-docker and nvidia-container-runtime are licensed under the `BSD
license <>`__.

Project details

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