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[CK_TILE] fix example reduces, permute and elementwise on gfx11 & gfx12 (#2810)

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1. Refine Reduce2dShape to support both wave32 and wave64
2. Fix example reduce, permute and elementwise on gfx11 and gfx12

---------

Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
This commit is contained in:
linqunAMD
2025-09-11 12:41:20 +08:00
committed by GitHub
parent 80a61afb9b
commit 0b9a638f26
11 changed files with 38 additions and 22 deletions
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5
example/ck_tile/05_reduce/reduce.cpp
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@@ -88,7 +88,6 @@ bool run(const ck_tile::ArgParser& arg_parser)
// using WarpTile = ck_tile::sequence<1, 512>;
// using Vector = ck_tile::sequence<1, 8>;
constexpr ck_tile::index_t kBlockSize = 256;
constexpr ck_tile::index_t kBlockPerCu = 1;
ck_tile::index_t kept_dim_len_prod = N * C;
ck_tile::index_t kGridSize = (kept_dim_len_prod + BlockTile::at(ck_tile::number<0>{}) - 1) /
@@ -99,8 +98,8 @@ bool run(const ck_tile::ArgParser& arg_parser)
using Porblem =
ck_tile::Reduce2dProblem<XDataType, ComputeDataType, YDataType, Shape, ReduceOp>;
using Kernel = ck_tile::Reduce<Porblem>;
using Kernel = ck_tile::Reduce<Porblem>;
const ck_tile::index_t kBlockSize = Kernel::BlockSize();
// Create input tensor shape and strides
auto input_shape =
ck_tile::make_tuple(problem_shape[0], problem_shape[1], problem_shape[2], problem_shape[3]);