To list images, simply run the docker images command. As we are currently working in the terminal let’s take a look at listing images using the CLI. One is to use the CLI and the other is to use Docker Desktop. To see a list of images we have on our local machine, we have two options. => => naming to docker.io/library/python-docker => COPY requirements.txt requirements.txt => FROM docker.io/library/python:3.8-slim-buster => load metadata for docker.io/library/python:3.8-slim-buster Your Dockerfile, and should be the first line in Dockerfiles. Must appear before any other comment, whitespace, or Dockerfile instruction in
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To upgrade the parser before starting the build. When parsing the Dockerfile, and allows older Docker versions with BuildKit enabled While optional, this directive instructs the Docker builder what syntax to use The first line to add to a Dockerfile is a # syntax parser directive. We recommend using the default ( Dockerfile) for your project’s primaryĭockerfile, which is what we’ll use for most examples in this guide. In the docker build reference to learn about the -file option. Such Dockerfiles can then be used through the -file (or -f shorthand) A commonĬonvention is to name these Dockerfile. Some projects may need distinct Dockerfiles for specific purposes. Without having to specify additional command flags. Using the default name allows you to run the docker build command All you need is a TensorFlow model converted to TensorFlow Lite. This page shows how you can start running TensorFlow Lite models with Python in just a few minutes. The default filename to use for a Dockerfile is Dockerfile (without a file-Įxtension). Using TensorFlow Lite with Python is great for embedded devices based on Linux, such as Raspberry Pi and Coral devices with Edge TPU, among many others. The root of your project, create a file named Dockerfile and open this file in Let’s walk through the process of creating a Dockerfile for our application. When we tell Docker to build our image by executing the docker buildĬommand, Docker reads these instructions, executes them, and creates a Docker Now that our application is running properly, let’s take a look at creating a Dockerfile.Ī Dockerfile is a text document that contains the instructions to assemble aĭocker image.