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https://github.com/ROCm/composable_kernel.git
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4750b293fe
* General 2D Reduction Kernel * Move the reduction kernel from the example * Split the code and add the necessary policy, problem, shape files as per ck_tile convention * Add/modify the headers * Modified the example to work with the 'new' kernel * Added tests for the kernel * N-D refernce reduce * Added support for N-D input with transform to 2D * Added padding to support various input sized tensors * Bug fix in the thread buffer constructor * Some comments to explain the reduce2d block kernel * comments resolution * clang-format * comments resolution * clang-format * clang-format * comments resolution * clang-format
28 lines
818 B
C++
28 lines
818 B
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include "ck_tile/core.hpp"
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namespace ck_tile {
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template <typename XDataType_,
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typename ComputeDataType_,
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typename YDataType_,
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typename BlockShape_,
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typename ReduceOp_>
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struct Reduce2dProblem
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{
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using XDataType = remove_cvref_t<XDataType_>;
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using ComputeDataType = remove_cvref_t<ComputeDataType_>;
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using YDataType = remove_cvref_t<YDataType_>;
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using BlockShape = remove_cvref_t<BlockShape_>;
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using ReduceOp = ReduceOp_;
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static constexpr bool kNeedCrossLaneSync = BlockShape::ThreadPerWarp_N > 1;
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static constexpr bool kNeedCrossWarpSync = BlockShape::WarpPerBlock_N > 1;
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};
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} // namespace ck_tile
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