Torch is a scientific computing framework with wide support for deep learning algorithms. Torch is easy to use and efficient, thanks to an easy and fast scripting language, Lua, and an underlying C/CUDA implementation.
Running Torch :
Before running the container, use docker pull to ensure an up-to-date image is installed. Once the pull is complete, you can run the container image.
Procedure :
- In the Tags section, locate the container image release that you want to run.
- In the Pull column, click the icon to copy the
docker pullcommand. - Open a command prompt and paste the pull command. The pulling of the container image begins. Ensure the pull completes successfully before proceeding to the next step.
- Run the container image. To run the container, choose interactive mode non-interactive mode.a. Interactive mode: Open a command prompt and issue:
nvidia-docker run -it --rm -v local_dir:container_dir nvcr.io/nvidia/torch:<xx.xx>
b. Non-interactive mode: Open a command prompt and issue:
nvidia-docker run --rm -v local_dir:container_dir nvcr.io/nvidia/torch:<xx.xx> <command>
Where:
-itmeans run in interactive mode--rmwill delete the container when finished-vis the mounting directory
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