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1. Correct shuffle_b and MakeBFlatDramTileDistribution according to WMMA warp layout 2. Add FlatmmConfig16_Wmma for gfx11 and gfx12
FLATMM Matrix Multiplication
This folder contains example for FLATMM using ck_tile tile-programming implementation. Currently, it only supports the basic feature of the CK Tile FLATMM, but creates the placeholders for the future support on different FLATMM pipeline and different FLATMM modules. In the near future, we will gradually migrate all the FLATMM 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
../script/cmake-ck-dev.sh ../ <arch>
# The basic pipeline method on the flatmm calculation
make tile_example_flatmm_basic -j
This will result in an executable build/bin/tile_example_flatmm_basic
example
args:
-m m dimension (default:256)
-n n dimension (default:256)
-k k dimension (default:128)
-a_layout A tensor data layout - Row by default (default:R)
-b_layout B tensor data layout - Row by default (default:C)
-c_layout C tensor data layout - Row by default (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:1)
-prec data type. fp16/bf16/fp8/bf8 (default:fp16)
-warmup number of iterations before benchmark the kernel (default:50)
-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(1) (default:0)
-warp_tile 0: 16x16, 1: 32x32, 2: 16x16x128 (950 only), 3: 32x32x64 (950 only) (default:0)
-json 0: No Json, 1: Dump Results in Json format (default:0)
-jsonfile json file name to dump results (default:flatmm_basic.json)