Files
composable_kernel/example/ck_tile/37_transpose/transpose_api.cpp
2025-06-18 09:15:28 +00:00

60 lines
2.1 KiB
C++

// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#include "transpose_example.hpp"
#include <iostream>
template <typename ts_type,
ck_tile::index_t block_x,
ck_tile::index_t block_y,
ck_tile::index_t warp_x,
ck_tile::index_t warp_y>
float batched_transpose_dispatch(batched_transpose_kargs& a, ck_tile::stream_config& s)
{
uint32_t dim_block_h = (a.height + block_y - 1) / block_y;
uint32_t dim_block_w = (a.width + block_x - 1) / block_x;
uint32_t dim_stride = a.height * a.width;
a.dim_stride = dim_stride;
a.dim_block_h = dim_block_h;
a.dim_block_w = dim_block_w;
using ts_problem = ck_tile::TransposePipelineProblem<ts_type,
ck_tile::tensor_layout::gemm::RowMajor,
64,
1,
1,
block_y,
block_x,
warp_y,
warp_x>;
using ts_pipeline = ck_tile::BlockTranspose<ts_problem>;
using kernel = ck_tile::BatchedTransposeKernel<ts_pipeline>;
auto kargs = kernel::MakeKargs(a);
const dim3 grids = kernel::GridSize(a);
constexpr dim3 blocks = kernel::BlockSize();
float ave_time = ck_tile::launch_kernel(
s, ck_tile::make_kernel<blocks.x, 1>(kernel{}, grids, blocks, 0, kargs));
return ave_time;
}
float batched_transpose(batched_transpose_trait t,
batched_transpose_kargs a,
ck_tile::stream_config s)
{
if(t.type == "fp16")
{
return batched_transpose_dispatch<ck_tile::fp16_t, 16, 32, 16, 32>(a, s);
}
else if(t.type == "fp8")
{
return batched_transpose_dispatch<ck_tile::fp8_t, 16, 64, 16, 64>(a, s);
}
return -1;
}