Install on Linux via PIP¶
[The Python Package Index(PyPI)]( https://pypi.org/ )It is a package manager for Python. This document introduces the PyPI installation method. The PyPI installation package provided by PaddlePaddle supports distributed training (multiple computers and multiple cards) and TensorRT reasoning functions.
You don’t need to install CUDA, CUDNN, NCCL and other software anymore. The Paddle WHL package already comes with it, just install the Paddle WHL package directly
Environmental preparation¶
1.1 How to check your environment¶
You can use the following commands to view the local operating system and bit information
uname -m && cat /etc/*release
Confirm that the Python where you need to install PaddlePaddle is your expected location, because your computer may have multiple Python
Use the following command to output Python path. Depending on the environment, you may need to replace Python in all command lines in the description with specific Python path
which python3
You need to confirm whether the version of Python meets the requirements
Use the following command to confirm that it is 3.8/3.9/3.10/3.11/3.12/3.13
python3 --version
It is required to confirm whether the version of pip meets the requirements. The version of pip is required to be 20.2.2 or above
python3 -m pip --version
You need to confirm that Python and pip are 64bit, and the processor architecture is x86_64(or called x64、Intel 64、AMD64). The first line below outputs “64bit”, and the second line outputs “x86_64”, “x64” or “AMD64”
python3 -c "import platform;print(platform.architecture()[0]);print(platform.machine())"
The installation package provided by default requires computer support for MKL, Intel chips all support MKL
cat /proc/cpuinfo
INSTALLATION¶
Choose CPU/GPU¶
If your computer doesn’t have NVIDIA® GPU, please install the CPU Version of PaddlePaddle
If your computer has NVIDIA® GPU, please make sure that the following conditions are met and install the GPU Version of PaddlePaddle
Installation Step¶
You can choose the following version of PaddlePaddle to start installation:
2.1 CPU Version of PaddlePaddle¶
python3 -m pip install paddlepaddle==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
2.2 GPU Version of PaddlePaddle¶
2.2.4 If you are using CUDA 11.8(If you need to use TensorRT, you can install TensorRT 8.5.3.1 yourself)
python3 -m pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
2.2.5 If you are using CUDA 12.6(If you need to use TensorRT, you can install TensorRT 10.5.0.18 yourself)
python3 -m pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
Note:
Please confirm that the Python where you need to install PaddlePaddle is your expected location, because your computer may have multiple Python. Depending on the environment, you may need to replace python3 in all command lines in the instructions with specific Python path.
The above commands install the
avx
andmkl
package by default. Paddle no longer supportsnoavx
package. To determine whether your machine supportsavx
, you can use the following command. If the output containsavx
, it means that the machine supportsavx
:cat /proc/cpuinfo | grep -i avx
If you want to install the Paddle package with
avx
andopenblas
, you can use the following command to download the wheel package to the local, and then usepython3 -m pip install [name].whl
to install locally ([name] is the name of the wheel package):python3 -m pip install https://paddle-wheel.bj.bcebos.com/3.0.0/linux/linux-cpu-openblas-avx/paddlepaddle-3.0.0-cp38-cp38-linux_x86_64.whl
Verify installation¶
After the installation is complete, you can use python3
to enter the Python interpreter and then use import paddle
and paddle.utils.run_check()
If PaddlePaddle is installed successfully!
appears, to verify that the installation was successful.
How to uninstall¶
Please use the following command to uninstall PaddlePaddle:
CPU version of PaddlePaddle:
python3 -m pip uninstall paddlepaddle
GPU version of PaddlePaddle:
python3 -m pip uninstall paddlepaddle-gpu