# docker_images **Repository Path**: echo_lin/docker_images ## Basic Information - **Project Name**: docker_images - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-02-08 - **Last Updated**: 2021-02-08 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ## Docker Images This repository contain a series of Docker images that - allow you to quickly set up your deep learning research environment - supports GPU acceleration(CUDA and cuDNN included), also works in CPU-only mode - works on linux(CPU version/GPU version), even the NPU version ------------------------------- ## CPU Version ### Installation Step 1. Install [Docker](https://docs.docker.com/engine/install/). Step 2. xxx (TODO) Step 3. Build Docker image using the following command. docker build -f Dockerfile.tf1.15.0 -t image_name:tag_name . Step 4. Push the built Docker image to Docker Hub or [SWR](https://www.huaweicloud.com/product/swr.html) docker push image_name:tag_name ## GPU Version ### Installation Step 1. Install [Docker](https://docs.docker.com/engine/install/) and [nvidia-docker](https://github.com/NVIDIA/nvidia-docker). Step 2. xxx (TODO) Step 3. Build Docker image using the following command. docker build -f Dockerfile.tf1.15.0-gpu -t image_name:tag_name . Step 4. Push the built Docker image to Docker Hub or [SWR](https://www.huaweicloud.com/product/swr.html) docker push image_name:tag_name ## ModelArts NPU Version ### Installation Step 1. Install [Docker](https://docs.docker.com/engine/install/). Step 2. xxx (TODO) Step 3. Build Docker image using the following command. More details you can refer to the [wiki](https://gitee.com/ascend/modelzoo/wikis/ModelArts%E8%87%AA%E5%AE%9A%E4%B9%89NPU%E8%AE%AD%E7%BB%83%E7%8E%AF%E5%A2%83%E9%95%9C%E5%83%8F%E6%89%8B%E5%86%8C%E3%80%90%E5%9F%BA%E7%A1%80%E7%89%88%E3%80%91?sort_id=3205360). docker build -f Dockerfile.modelarts -t image_name:tag_name . Step 4. Push the built Docker image to Docker Hub or [SWR](https://www.huaweicloud.com/product/swr.html) docker push image_name:tag_name