anchor.diff:  RUN cd /usr/local/src && mkdir lightgbm && cd lightgbm && \
   git clone -b v2.3.1 https://github.com/microsoft/LightGBM && \
   cd LightGBM && mkdir build && cd build && \
  -cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. && \ 
  - make OPENCL_HEADERS=/usr/local/cuda/targets/x86_64-linux/include LIBOPENCL=/usr/local/cuda/targets/x86_64-linux/lib
  +    cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. && \ 
  +    make OPENCL_HEADERS=/usr/local/cuda/targets/x86_64-linux/include LIBOPENCL=/usr/local/cuda/targets/x86_64-linux/lib
   
   ENV PATH /usr/local/src/lightgbm/LightGBM:${PATH}
   
  
positive.code: ENV TINI_VERSION v0.14.0
  ADD https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini /tini
  RUN chmod +x /tini
  
             
  ##############################################################################
  # Miniconda python
  
negative.code: # other libraries
  ##############################################################################
  RUN cd /usr/local/src && pip install albumentations seaborn pyarrow fastparquet catboost kaggle \
      category_encoders optuna opencv-python image-classifiers tsfresh librosa gsutil
  RUN cd /usr/local/src && conda install pytorch torchvision cudatoolkit=10.1 -c pytorch
  RUN cd /usr/local/src && pip install git+https://github.com/hyperopt/hyperopt.git
  