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* Remove some duplicate code in fmha_fwd_appendkv_kernel.hpp * Simplify two templated operator calls by having the templated types deduced automatically * Simplify two GemmPipeline calls * Fix GemmPipelineAgBgCrCompV4::GetName * Refactor use of ArgParser in CK tile GEMM examples * Update args in README.md to match the implementation in create_args * Remove some unnecessary include statements * Rename two variables * Factor out common code * Factor out do_verify * Add and use type aliases for memory operation integral constants * In gemm_basic.cpp, use kPadM, kPadN, kPadK, and kBlockPerCu from GemmConfig --------- Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
GEMM Matrix Multiplication
This folder contains example for GEMM using ck_tile tile-programming implementation. Currently, it only supports the basic feature of the CK Tile GEMM, but creates the placeholders for the future support on different GEMM pipeline and different GEMM modules. In the near future, we will gradually migrate all the GEMM features from old CK to CK Tile.
build
# in the root of ck_tile
mkdir build && cd build
# you can replace <arch> with the appropriate architecture (for example gfx90a or gfx942) or leave it blank
sh ../script/cmake-ck-dev.sh ../ <arch>
# The basic pipeline method on the gemm calculation
make tile_example_gemm_basic -j
# The memory bound pipeline on the gemm calculation
make tile_example_gemm_universal -j
This will result in an executable build/bin/tile_example_gemm_basic & build/bin/tile_example_gemm_universal
example
args:
-m m dimension (default:1024)
-n n dimension (default:2048)
-k k dimension (default:64)
-a_layout Tensor A data layout (default: R)
-b_layout Tensor B data layout (default: C)
-c_layout Tensor C data layout (default: R)
-stride_a Tensor A stride (default:0)
-stride_b Tensor B stride (default:0)
-stride_c Tensor C stride (default:0)
-v 0. No validation, 1. Validation on CPU, 2. Validation on GPU (default:2)
-prec data type. fp16/bf16/fp8/bf8/int8 (default:fp16)
-warmup number of iterations before benchmark the kernel (default:10)
-repeat number of iterations to benchmark the kernel (default:100)
-timer gpu:gpu timer, cpu:cpu timer (default:gpu)
-split_k splitK value (default:1)
-init 0:random, 1:linear, 2:constant (default:1)
-persistent 0:non-persistent, 1:persistent (default:0)