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  • lightGBM gpu环境配置

    推荐先看一手官方的Installation Guide.我用的是ubuntu 16.04,一些要求如下图:

     主要是OpenCL以及libboost两个环境的要求.

    (1) OpenCL的安装.我这里之前安装了NVIDA-395的驱动以及CUDA 9.0,只需要在编译的时候给出对应的path就可以了(这部分后面编译的时候会有解释).可以用clinfo查看OpenCL的信息.

    Lenovo-Rescuer-15ISK:~$ clinfo
    Number of platforms                               1
      Platform Name                                   NVIDIA CUDA
      Platform Vendor                                 NVIDIA Corporation
      Platform Version                                OpenCL 1.2 CUDA 9.1.84
      Platform Profile                                FULL_PROFILE
      Platform Extensions                             cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_nv_create_buffer
      Platform Extensions function suffix             NV
    
      Platform Name                                   NVIDIA CUDA
    Number of devices                                 1
      Device Name                                     GeForce GTX 960M
      Device Vendor                                   NVIDIA Corporation
      Device Vendor ID                                0x10de
      Device Version                                  OpenCL 1.2 CUDA
      Driver Version                                  390.87
      Device OpenCL C Version                         OpenCL C 1.2 

    (2)libboost安装.

    > 从https://dl.bintray.com/boostorg/release/1.69.0/source/boost_1_69_0.tar.gz下载对应的压缩包

    > 解压缩 tar -xzvf boost_1_69_0.tar.gz

    > 切换到对应的文件目录下 sudo ./bootstrap.sh

    > 根据提示 sudo ./b2 install 这样头文件就被默认安装在/usr/local/include头文件下,库文件就被默认安装在/usr/local/lib下

    上述两个依赖搞定之后,安装官方给的安装方式(linux)如下:

    git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM
    mkdir build ; cd build
    cmake -DUSE_GPU=1 ..
    # if you have installed NVIDIA CUDA to a customized location, you should specify paths to OpenCL headers and library like the following:
    # cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ ..
    make -j4

    注意,如果已经安装过cuda的要指出OpenCL所在的位置,之后正常编译就好了.

     

       

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  • 原文地址:https://www.cnblogs.com/z1141000271/p/11510776.html
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