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46 lines
1.9 KiB
46 lines
1.9 KiB
1 month ago
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---
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comments: true
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---
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# Kunlun XPU PaddlePaddle Installation Tutorial
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Currently, PaddleOCR supports Kunlun R200/R300 and other chips. Considering environmental differences, we recommend using the <b>Kunlun XPU development image officially released by PaddlePaddle</b>, which is pre-installed with the Kunlun basic runtime environment library (XRE).
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## 1. Docker Environment Preparation
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Pull the image. This image is only for the development environment and does not include a pre-compiled PaddlePaddle installation package.
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```bash
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docker pull registry.baidubce.com/device/paddle-xpu:ubuntu20-x86_64-gcc84-py310 # For X86 architecture
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docker pull registry.baidubce.com/device/paddle-xpu:kylinv10-aarch64-gcc82-py310 # For ARM architecture
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```
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Refer to the following command to start the container:
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```bash
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docker run -it --name=xxx -m 81920M --memory-swap=81920M \
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--shm-size=128G --privileged --net=host \
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-v $(pwd):/workspace -w /workspace \
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registry.baidubce.com/device/paddle-xpu:$(uname -m)-py310 bash
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```
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## 2. Install Paddle Package
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Currently, Python3.10 wheel installation packages are provided. If you have a need for other Python versions, you can refer to the [PaddlePaddle official documentation](https://www.paddlepaddle.org.cn/en/install/quick) to compile and install them yourself.
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Install the Python3.10 wheel installation package:
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```bash
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pip install https://paddle-whl.bj.bcebos.com/paddlex/xpu/paddlepaddle_xpu-2.6.1-cp310-cp310-linux_x86_64.whl # For X86 architecture
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pip install https://paddle-whl.bj.bcebos.com/paddlex/xpu/paddlepaddle_xpu-2.6.1-cp310-cp310-linux_aarch64.whl # For ARM architecture
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```
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Verify the installation package. After installation, run the following command:
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```bash
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python -c "import paddle; paddle.utils.run_check()"
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```
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The expected output is:
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```
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PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.
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```
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