Files
composable_kernel/example/ck_tile/03_gemm
SamiAario-AMD 28a97865f5 Cleanups (#2631)
* 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

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Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
2025-08-13 10:12:08 +02:00
..
2025-08-13 10:12:08 +02:00
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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)