under rapid development

Code generator for implicit gemm algorithm (generic tensor contraction)

since f-string is utilized in python, require python >= 3.6 to run.

# generate code based on tunable configuration, use one of following command to generate each direction
python3 igemm_codegen.py config/igemm_fwd_gtc_gfx908.config
python3 igemm_codegen.py config/igemm_bwd_gtc_gfx908.config
python3 igemm_codegen.py config/igemm_wrw_gtc_gfx908.config

# or auto generate code for all possible combinations, use one of following command to generate each direction
python3 igemm_codegen.py config/igemm_fwd_gtc_gfx908_seq.config
python3 igemm_codegen.py config/igemm_bwd_gtc_gfx908_seq.config
python3 igemm_codegen.py config/igemm_wrw_gtc_gfx908_seq.config

The output file will result in out directory. result in a assembly file *.s and several *.inc for different tile size, a codeobject *.hsaco and a host driver executable conv_driver.exe. This executable accept same cmdline argument as MIOpenDriver. e.g.

./conv_driver.exe  conv -n 128 -c 1024 -H 17 -W 17 -k 1024  -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -F 2 -V 1

currently this executable will run all the kernel configs one by one, the same as you used for kernel generation stage.

some environment variables may affect the behavior and printout of conv_driver.exe

• IGEMM_HSACO : indicate the path of code object to use. default use the generated one in currentl directory.
• IGEMM_SCLK_MHZ : current GPU sclk MHZ. used to calculate efficiency.
• IGEMM_LOG_FASTEST_CONFIG : set to 1 to print the fastest config from current convolution. default is 0

more description to be added

• half.hpp : When fp16 kernel is generated, half.hpp need to be installed, e.g.:

wget https://github.com/pfultz2/half/archive/1.12.0.tar.gz
tar -zvxf 1.12.0.tar.gz
cp half-1.12.0/include/half.hpp /usr/local/include/