# Instructions for ```gemm_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 ```gemm_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 gemm_xdl
```

## Run ```gemm_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)
./example/gemm_xdl 0 1 5
```

Result (MI100 @ 1087Mhz, 133.5TFlops peak FP16)
```
a_m_k: dim 2, lengths {3840, 4096}, strides {4096, 1}
b_k_n: dim 2, lengths {4096, 4096}, strides {1, 4096}
c_m_n: dim 2, lengths {3840, 4096}, strides {4096, 1}
arg.a_grid_desc_k0_m_k1_{512, 3840, 8}
arg.b_grid_desc_k0_n_k1_{512, 4096, 8}
arg.c_grid_desc_m_n_{ 3840, 4096}
launch_and_time_kernel: grid_dim {480, 1, 1}, block_dim {256, 1, 1}
Warm up
Start running 5 times...
Perf: 1.19685 ms, 107.657 TFlops, 78.8501 GB/s
```