Files
composable_kernel/example/ck_tile/16_batched_gemm
Mateusz Ozga bd96ac9742 [CK_TILE] Multiple-D GEMM example (#2219)
* Multiple d, initial commit

* Check Ds Layout

* Readme and clang format

* Update branch & conflicts

* Multiple D - fix clang-formatter

* Rename elemetwise_op

* Fix CI

* Code review part1

* Remove printf

* Remove unnecessary comment

* Add new tests with Col layout

* Review part 2

* Added support for Multiple D GEMM

* Update comment

* Remove maybe_unused

* Clang-format

* Review part 3

* Add comment to function

* Add comment to function: another

* Take number of params for a refrence function

* Remove additional d param for 0 tensor

* Change name of function

* Fix CI fails
2025-06-13 19:39:11 +02:00
..
2024-11-29 11:52:18 +01:00

Batched GEMM

This folder contains example for batched GEMM using ck_tile tile-programming implementation.

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>
make tile_example_batched_gemm -j

This will result in an executable build/bin/tile_example_batched_gemm

example

args:
              -m     m dimension (default:256)
              -n     n dimension (default:128)
              -k     k dimension (default:128)
       -a_layout     A tensor data layout (default:R) (R for Row, C for Col)
       -b_layout     B tensor data layout (default:R) (R for Row, C for Col)
       -c_layout     C tensor data layout (default:R) (R for Row, C for Col)
       -stride_a     Tensor A stride (default:128)
       -stride_b     Tensor B stride (default:128)
       -stride_c     Tensor C stride (default:128)
 -batch_stride_a     Batch A stride (default:32768)
 -batch_stride_b     Batch B stride (default:16384)
 -batch_stride_c     Batch C stride (default:32768)
    -batch_count     Batch count (default:16)
              -v     0. No validation, 1. Validation on CPU, 2. Validation on GPU (default:2)
              -e     Absolute error tolerance (default:1e-5)
           -prec     data type. fp16/bf16/fp8/bf8 (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)