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composable_kernel/script/cmake-cuda_docker.sh
Chao Liu c5da0377fb Added bwd data v3r1 v4r1, tweaking v1 (#10)
* Added bwd data v3r1: breaking down compute into a series of load balanced GEMM, and launch in a single kernel
* Added bwd data v4r1: like v3r1, but launch GEMMs in multiple kernels
* Tweaked v1r1  and v1r2 (atomic) on AMD GPU
2020-01-20 10:20:03 -06:00

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#!/bin/bash
MY_PROJECT_SOURCE=../../../
MY_PROJECT_INSTALL=../install.dir
export CUDA_ROOT=/usr/local/cuda
export CPATH=$CPATH:$CUDA_ROOT/include
export LIBRARY_PATH=$LIBRARY_PATH:$CUDA_ROOT/lib64
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_ROOT/lib64
cmake \
-D CMAKE_INSTALL_PREFIX=${MY_PROJECT_INSTALL} \
-D CMAKE_CXX_COMPILER=clang++-6.0 \
-D CMAKE_BUILD_TYPE=Release \
-D CMAKE_VERBOSE_MAKEFILE:BOOL=ON \
-D DEVICE_BACKEND=NVIDIA \
-D CUDA_COMMON_INCLUDE_DIR="/root/NVIDIA_CUDA-10.1_Samples/common/inc" \
-D CMAKE_CUDA_FLAGS="-ccbin clang++ -m64 -Xcompiler -fopenmp -lineinfo --source-in-ptx -keep -Xptxas -v -gencode=arch=compute_61,code=sm_61 -Xptxas -v -maxrregcount=128" \
${MY_PROJECT_SOURCE}
#-D CMAKE_CUDA_FLAGS="-ccbin clang++ -m64 -Xcompiler -fopenmp -lineinfo --source-in-ptx -keep -Xptxas -v -gencode=arch=compute_61,code=sm_61" \
#-D CMAKE_CUDA_FLAGS="-ccbin clang++ -m64 -Xcompiler -fopenmp -lineinfo --source-in-ptx -keep -Xptxas -v -gencode=arch=compute_61,code=sm_61 -Xptxas -v -maxrregcount=128" \