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Steps needed to install K2 from scratch
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#!/usr/bin/env bash | |
# Common steps | |
conda create -n k2 python=3.8 | |
conda activate k2 | |
conda install -c nvidia cudnn=7.6.5 cudatoolkit=10.2 | |
conda install -c pytorch pytorch | |
pip install cmake | |
mkdir build | |
pushd build | |
CONDA_ROOT="$(conda config --show root_prefix | cut -f2 -d' ')" | |
CONDA_ENV_DIR="$CONDA_ROOT/envs/k2" | |
cmake \ | |
-DCMAKE_BUILD_TYPE=Release \ | |
-DCMAKE_CUDA_COMPILER=$(which nvcc) \ | |
-DPYTHON_EXECUTABLE=$(which python) \ | |
-DCUDNN_LIBRARY_PATH=$CONDA_ENV_DIR/lib/libcudnn.so \ | |
-DCUDNN_INCLUDE_PATH=$CONDA_ENV_DIR/include/ \ | |
.. | |
make -j24 _k2 | |
popd | |
# When updating and rebuilding K2, before executing these steps, run: | |
# rm -rf dist/ | |
scripts/build_pip.sh | |
pip install dist/* |
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