Reputation: 153
I tried to follow the instruction from the documentation
!sudo apt-get update
!sudo apt-get install --no-install-recommends nvidia-375
!sudo apt-get install --no-install-recommends nvidia-opencl-icd-375 nvidia-
opencl-dev opencl-headers
It threw me following error message
/bin/sh: 1: sudo: not found
/bin/sh: 1: sudo: not found
/bin/sh: 1: sudo: not found
Then I following instruction from "Install LightGBM within anaconda3 with GPU support"
!git clone --recursive https://github.com/Microsoft/LightGBM.git
!cd LightGBM/python-package
!sudo python3 setup.py install --gpu
It threw me following error message
Cloning into 'LightGBM'...
remote: Counting objects: 9752, done.
remote: Compressing objects: 100% (29/29), done.
remote: Total 9752 (delta 6), reused 12 (delta 5), pack-reused 9718
Receiving objects: 100% (9752/9752), 7.68 MiB | 24.05 MiB/s, done.
Resolving deltas: 100% (6835/6835), done.
Submodule 'include/boost/compute' (https://github.com/boostorg/compute) registered for path 'compute'
Cloning into '/content/LightGBM/compute'...
remote: Counting objects: 21405, done.
remote: Compressing objects: 100% (32/32), done.
remote: Total 21405 (delta 20), reused 35 (delta 13), pack-reused 21354
Receiving objects: 100% (21405/21405), 8.45 MiB | 21.85 MiB/s, done.
Resolving deltas: 100% (17364/17364), done.
Submodule path 'compute': checked out '6de7f6448796f67958dde8de4569fb1ae649ee91'
/bin/sh: 1: sudo: not found
Now I am baffled.
Upvotes: 2
Views: 3318
Reputation: 1
Try this:
%cd /content
!rm -r /usr/local/lib/python3.6/dist-packages/lightgbm
!rm -r /content/LightGBM
!git clone --recursive https://github.com/Microsoft/LightGBM
%cd LightGBM
!mkdir build
%cd build
!cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so.1.1 -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ ..
!make -j$(nproc)
Then download the setup.py file from the python-package directory with the following lines:
from google.colab import files
files.download('/content/LightGBM/python-package/setup.py')
Edit the file by adding the following code at line 267:
os.chdir('/content/LightGBM')
Upload the setup.py file into colab and use the following code to place it back into it's folder:
import shutil
shutil.move("/content/setup.py", "/content/LightGBM/python-package/setup.py")
Lastly, run:
%cd /content
%cd LightGBM/python-package
!python3 setup.py install --precompile
That should do it.
Upvotes: 0
Reputation: 796
I had some issues with other solutions proposed. This worked for me:
set GPU under 'Runtime'->'Change runtime type'
Then, execute:
!git clone --recursive https://github.com/Microsoft/LightGBM
%cd /content/LightGBM
!mkdir build
!cmake -DUSE_GPU=1
!make -j$(nproc)
!sudo apt-get -y install python-pip
!sudo -H pip install setuptools pandas numpy scipy scikit-learn -U
%cd /content/LightGBM/python-package
!sudo python setup.py install --precompile
import lightgbm
, set 'device': 'gpu'
in the parameters and you are ready to train your model!Upvotes: 2
Reputation: 450
I had the same issue as you, and after trying out some minor changes what worked for me was changing the !cd to %cd , and remove sudo
!git clone --recursive https://github.com/Microsoft/LightGBM.git
%cd LightGBM/python-package
!python3 setup.py install --gpu
but make sure you followed the installation steps correctly
!git clone --recursive https://github.com/Microsoft/LightGBM
%cd LightGBM
!mkdir build
!cd build
!cmake ./LightGBM
!make -j4
Also CMake should be installed, just !pip install it
Upvotes: 2
Reputation: 38579
Adapting the public install instructions WFM -- https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#linux
!git clone --recursive https://github.com/Microsoft/LightGBM ; cd LightGBM
import os
os.chdir('LightGBM')
!mkdir build
os.chdir('build')
!apt-get install cmake
!cmake ..
!make -j4
Here's an example notebook.
Upvotes: 1