TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them.
This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code.
Running tensorflow:
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. A typical command to launch the container is:
nvidia-docker run -it --rm -v local_dir:container_dir nvcr.io/nvidia/tensorflow:<xx.xx>
Where:
-itmeans run in interactive mode--rmwill delete the container when finished-vis the mounting directory
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