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* delete obselete files * move files * build * update cmake * update cmake * fix build * reorg examples * update cmake for example and test
Instructions for conv3d_fwd_xdl Example
Docker script
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
mkdir build && cd build
# 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 \
..
make -j conv3d_fwd_xdl
Run conv3d_fwd_xdl
#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