Files
composable_kernel/example/01_gemm
rocking5566 9a17e7fbfd Consider gemm requant relu requant as gemm fusuion (#116)
* [What] Separate fixpoint gemm from gemm example
[Why] let example of gemm_int8 be pure gemm.
[What]
1. Add gemm_requant_relu_requant,
2. Let CDataType be int32 in pure gemm, because no one use int8 CDataType. It is also part of gemm_requant_relu_requant

* Fix path

* Revise cmakelist due to merge develop

Co-authored-by: rocking <chunylai@amd.com>
2022-03-11 20:41:03 -06:00
..
2022-03-08 21:46:36 -06:00
2022-03-08 21:46:36 -06:00

Instructions for gemm_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 gemm_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 gemm_xdl

Run gemm_xdl

#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