Kaggle Python docker 镜像.zip

# docker-python [Kaggle Notebooks](https://www.kaggle.com/notebooks) allow users to run a Python Notebook in the cloud against our competitions and datasets without having to download data or set up their environment. This repository includes the [Dockerfile](Dockerfile.tmpl) for building the CPU-only and GPU image that runs Python Notebooks on Kaggle. Our Python Docker images are stored on the Google Container Registry at: * CPU-only: [gcr.io/kaggle-images/python](https://gcr.io/kaggle-images/python) * GPU: [gcr.io/kaggle-gpu-images/python](https://gcr.io/kaggle-gpu-images/python) ## Requesting new packages First, evaluate whether installing the package yourself in your own notebooks suits your needs. See [guide](https://github.com/Kaggle/docker-python/wiki/Missing-Packages). If you the first step above doesn't work for your use case, [open an issue](https://github.com/Kaggle/docker-python/issues/new) or a [pull request](https://github.com/Kaggle/docker-python/pulls). ## Opening a pull request 1. Edit the [Dockerfile](Dockerfile.tmpl). 1. Follow the instructions below to build a new image. 1. Add tests for your new package. See this [example](https://github.com/Kaggle/docker-python/blob/main/tests/test_fastai.py). 1. Follow the instructions below to test the new image. 1. Open a PR on this repo and you are all set! ## Building a new image ```sh ./build ``` Flags: * `--gpu` to build an image for GPU. * `--use-cache` for faster iterative builds. ## Testing a new image A suite of tests can be found under the `/tests` folder. You can run the test using this command: ```sh ./test ``` Flags: * `--gpu` to test the GPU image. * `--pattern test_keras.py` or `-p test_keras.py` to run a single test * `--image gcr.io/kaggle-images/python:ci-pretest` or `-i gcr.io/kaggle-images/python:ci-pretest` to test against a specific image ## Running the image For the CPU-only image: ```sh # Run the image built locally: docker run --rm -it kaggle/python-build /bin/bash # Run the pre-built image from gcr.io docker run --rm -it gcr.io/kaggle-images/python /bin/bash ``` For the GPU image: ```sh # Run the image built locally: docker run --runtime nvidia --rm -it kaggle/python-gpu-build /bin/bash # Run the image pre-built image from gcr.io docker run --runtime nvidia --rm -it gcr.io/kaggle-gpu-images/python /bin/bash ``` To ensure your container can access the GPU, follow the instructions posted [here](https://github.com/Kaggle/docker-python/issues/361#issuecomment-448093930).