I added folder mkl and oneDNN in kernels/gemm, both of these two folders contains a main.cpp.
the one in mkl is a normal gemm implemented by intel MKL cblas_sgemm,
and the one in oneDNN is a normal gemm implemented by dnnl_sgemm function of intel oneDNN.
added files in kernels/batchmatmul
I added args.hpp for data initialization for bmm at kernels/batchmatmul.
I also added folder mkl and oneDNN in kernels/batchmatmul.
main.cpp in batchmatmul/mkl is an intel MKL cblas_sgemm inside a OpenMP for-loop implementation.
dnnl.cpp in batchmatmul/oneDNN is an intel oneDNN dnnl_sgemm inside a OpenMP for-loop implementation.
matmul.cpp in batchmatmul/oneDNN is an intel oneDNN matmul primitive implementation, which do not have a outside omp-for-loop.
example_utils.hpp in batchmatmul/oneDNN is just used for matmul.cpp, which is directly copied from the example code that oneDNN give us.
added files in kernels/gemm
I added folder mkl and oneDNN in
kernels/gemm, both of these two folders contains a main.cpp. the one in mkl is a normal gemm implemented by intel MKLcblas_sgemm, and the one in oneDNN is a normal gemm implemented bydnnl_sgemmfunction of intel oneDNN.added files in kernels/batchmatmul
I added args.hpp for data initialization for bmm at
kernels/batchmatmul. I also added folder mkl and oneDNN inkernels/batchmatmul. main.cpp inbatchmatmul/mklis an intel MKLcblas_sgemminside a OpenMP for-loop implementation. dnnl.cpp inbatchmatmul/oneDNNis an intel oneDNNdnnl_sgemminside a OpenMP for-loop implementation. matmul.cpp inbatchmatmul/oneDNNis an intel oneDNNmatmul primitiveimplementation, which do not have a outside omp-for-loop. example_utils.hpp inbatchmatmul/oneDNNis just used formatmul.cpp, which is directly copied from the example code that oneDNN give us.