# Instructions for ```conv3d_fwd_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 ```conv3d_fwd_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 conv3d_fwd_xdl ``` ## Run ```conv3d_fwd_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 to 24: N, K, C, Z, Y, X, Di, Hi, Wi, Sz, Sy, Sx, Dz, Dy, Dx, leftPz, LeftPy, LeftPx, RightPz, RightPy, RightPx ./example/conv3d_fwd_xdl 0 1 5 ``` Result (MI100 dynamic frequency) ``` in: dim 5, lengths {4, 71, 71, 71, 192}, strides {68718912, 967872, 13632, 192, 1} wei: dim 5, lengths {256, 3, 3, 3, 192}, strides {5184, 1728, 576, 192, 1} out: dim 5, lengths {4, 36, 36, 36, 256}, strides {11943936, 331776, 9216, 256, 1} a_grid_desc_b_k0_m_k1{1, 648, 186624, 8} b_grid_desc_b_k0_n_k1{1, 648, 256, 8} launch_and_time_kernel: grid_dim {1458, 1, 1}, block_dim {256, 1, 1} Warm up Start running 5 times... Perf: 4.49466 ms, 110.206 TFlops, 144.161 GB/s ```