Keyword Analysis & Research: docker image with pytorch


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Frequently Asked Questions

How do I run PyTorch programs in a docker container?

This can be found at NVIDIA/nvidia-docker. Prebuilt images are available on Docker Hub under the name anibali/pytorch. For example, you can pull an image with PyTorch 1.8.1 and CUDA 11.1 using: It is possible to run PyTorch programs inside a container using the python3 command.

How do I use the PyTorch image with a NVIDIA GPU?

In order to use this image you must have Docker Engine installed. Instructions for setting up Docker Engine are available on the Docker website. If you have a CUDA-compatible NVIDIA graphics card, you can use a CUDA-enabled version of the PyTorch image to enable hardware acceleration.

Can PyTorch be used in production?

Luckily, AWS and Facebook have created a project, called Torch Serve, to put PyTorch images in production, similarly to Tensorflow Serving. It is a well crafted Docker image, where you can upload your models.

Where can I find prebuilt images for PyTorch?

Prebuilt images are available on Docker Hub under the name anibali/pytorch. For example, you can pull an image with PyTorch 1.8.1 and CUDA 11.1 using: It is possible to run PyTorch programs inside a container using the python3 command.


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