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@ -8,12 +8,12 @@ Docker is a tool designed to make it easier to create, deploy, and run applicati
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### PaddlePaddle Docker images
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There are six Docker images:
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- paddledev/paddle:latest-cpu: PaddlePaddle CPU binary image.
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- paddledev/paddle:latest-gpu: PaddlePaddle GPU binary image.
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- paddledev/paddle:latest-cpu-devel: PaddlePaddle CPU binary image plus source code.
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- paddledev/paddle:latest-gpu-devel: PaddlePaddle GPU binary image plus source code.
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- paddledev/paddle:latest-cpu-demo: PaddlePaddle CPU binary image plus source code and demo
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- paddledev/paddle:latest-gpu-demo: PaddlePaddle GPU binary image plus source code and demo
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- paddledev/paddle:cpu-latest: PaddlePaddle CPU binary image.
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- paddledev/paddle:gpu-latest: PaddlePaddle GPU binary image.
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- paddledev/paddle:cpu-devel-latest: PaddlePaddle CPU binary image plus source code.
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- paddledev/paddle:gpu-devel-latest: PaddlePaddle GPU binary image plus source code.
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- paddledev/paddle:cpu-demo-latest: PaddlePaddle CPU binary image plus source code and demo
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- paddledev/paddle:gpu-demo-latest: PaddlePaddle GPU binary image plus source code and demo
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Tags with latest will be replaced by a released version.
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@ -23,7 +23,7 @@ You have to install Docker in your machine which has linux kernel version 3.10+
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You can use ```docker pull ```to download images first, or just launch a container with ```docker run```:
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```bash
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docker run -it paddledev/paddle:lastest-cpu
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docker run -it paddledev/paddle:cpu-latest
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```
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If you want to launch container with GPU support, you need to set some environment variables at the same time:
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@ -31,7 +31,7 @@ If you want to launch container with GPU support, you need to set some environme
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```bash
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export CUDA_SO="$(\ls /usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}"
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export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}')
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docker run -it paddledev/paddle:latest-gpu
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docker run -it paddledev/paddle:gpu-latest
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```
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### Notice
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Yu Yang
9 years ago