Скачать или смотреть How to Run a .sh Script When Starting a Docker Container

Discover the best method to execute a `.sh` script upon starting a Docker container using NVIDIA's TensorFlow image. Learn the steps to create and run your commands seamlessly.
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How to Run a .sh Script When Starting a Docker Container

When working with Docker, especially with complex setups like machine learning frameworks, you may find yourself in situations where you need to execute a script automatically once your Docker container starts. This is especially relevant if you're using an already built image, such as NVIDIA's TensorFlow image. Let’s explore how to achieve this smoothly, focusing on utilizing a .sh script for your commands.

The Problem

You’re running a command that starts a Docker container with the NVIDIA TensorFlow image. Within this container, you have a series of commands that need to be executed. However, since you don’t have access to modify the Dockerfile, you’re looking for the best way to automate the execution of these commands when the container starts.

Here’s a brief overview of your original command:

[[See Video to Reveal this Text or Code Snippet]]

Desired Commands to Run Inside the Container

These are the commands you want to execute within the container:

[[See Video to Reveal this Text or Code Snippet]]

The Solution

To effectively run your commands automatically when the container starts, you can create a shell script named commands.sh. Here’s a step-by-step guide to achieve this:

Step 1: Create the Shell Script

Open your terminal and navigate to your desired directory, where you will create the shell script, i.e., /home/xxxx/xxxx.

Create the commands.sh file:

[[See Video to Reveal this Text or Code Snippet]]

Add your commands to the commands.sh file. Ensure it looks like this:

[[See Video to Reveal this Text or Code Snippet]]

Save and exit the editor (if using nano, press CTRL + X, then Y, and Enter).

Step 2: Make the Script Executable

Before running the Docker command, you need to ensure that your script is executable. Run the following command:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Run the Docker Container with the Script

Now, you can use the following Docker command to run your container and execute the commands.sh script:

[[See Video to Reveal this Text or Code Snippet]]

This command does the following:

Runs the Docker container with necessary configurations.

Mounts your script’s directory to the container.

Executes commands.sh that performs your desired operations within the container.

Conclusion

Automating script execution upon Docker container startup can significantly streamline workflows, especially in complex environments like TensorFlow with GPU support. By following the outlined steps, you can effectively run a series of commands inside your Docker container, even without direct access to the Dockerfile.

Feel free to adapt this process according to your needs and enhance your setups even further!