# Instructions for ```conv2d_wrw_xdl``` Example ## Docker script ```bash docker run \ -it \ --rm \ --privileged \ --group-add sudo \ -w /root/workspace \ -v ${PATH_TO_LOCAL_WORKSPACE}:/root/workspace \ rocm/tensorflow:rocm4.3.1-tf2.6-dev \ /bin/bash ``` ## Build ```conv2d_wrw_xdl``` ```bash mkdir build && cd build ``` ```bash # Need to specify target ID, example below is gfx908 cmake \ -D BUILD_DEV=OFF \ -D CMAKE_BUILD_TYPE=Release \ -D CMAKE_CXX_FLAGS="-DCK_AMD_GPU_GFX908 --amdgpu-target=gfx908 -O3 " \ -D CMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc \ -D CMAKE_PREFIX_PATH=/opt/rocm \ .. ``` ```bash make -j conv2d_wrw_xdl ``` ## Run ```conv2d_wrw_xdl``` ```bash #arg1: verification (0=no, 1=yes) #arg2: initialization (0=no init, 1=integer value, 2=decimal value) #arg3: run kernel # of times (>1) #arg4: is show log (0=no, 1=yes) #arg5 to 19: N, K, C, Y, X, Hi, Wi, Sy, Sx, Dy, Dx, LeftPy, LeftPx, RightPy, RightPx, split-k ./example/conv2d_fwd_xdl 0 1 5 0 4 ``` Result ``` in_n_c_hi_wi: dim 4, lengths {128, 1024, 14, 14}, strides {200704, 1, 14336, 1024} wei_k_c_y_x: dim 4, lengths {256, 1024, 3, 3}, strides {9216, 1, 3072, 1024} out_n_k_ho_wo: dim 4, lengths {128, 256, 6, 6}, strides {9216, 1, 1536, 256} arg.a_grid_desc_kbatch_k0_m_k1_{4, 144, 256, 8} arg.b_grid_desc_kbatch_k0_n_k1_{4, 144, 9216, 8} arg.c_grid_desc_m_n_{ 256, 9216} launch_and_time_kernel: grid_dim {576, 1, 1}, block_dim {256, 1, 1} Warm up Start running 5 times... Perf: 0.401084 ms, 54.2112 TFlops, 145.75 GB/s ```