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66c5f5b0b6
* Addressing code review comments. * Addressing code review comments. * Reorganized code for better readability. * add ck_tile gemms for new types in CI * fix jenkins syntax * fix script syntax * Add the test cases back * Address the review comments * Address review comments * clang format * Solve the merging issues * Addressed the comments * clang format --------- Co-authored-by: illsilin <Illia.Silin@amd.com> Co-authored-by: ThomasNing <thomas.ning@amd.com> 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:
-b batch size (default:1)
-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: R)
-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)
-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)