mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-14 18:17:44 +00:00
8d2057326a
* Add reduce2d new api * Prevent user use cross warp reduction * Fix bug of std caculation * Add rmsnorm2d * Add rmsnorm small example * Remove static assert to prevent compile fail * Add script to test performance and correctness * Add missing cmake change * refine naming * refine example of rmsnorm * Fix bug of rmsnorm * Refine naming * Fix cmake * clang format * Refine pipeline name * Add add_rmsnorm2d_rdquant kernel * Add reduce op * host verification * Fix bug of one pass pipeline * Refine tile size * Add two pass pipeline * Rename two pass to three pass * Fix bug of kSaveX == false * Add instance library * Add test script * Fix bug of x verification * Add save_x to trait * Add README * Move reduce2d into reduce folder * Fix bug of welford when number of m warp > 1 * remove reduncant comment * 1. move 06_rmsnorm2d to 10_rmsnorm2d 2. move 07_add_rmsnorm2d_rdquant to 11_add_rmsnorm2d_rdquant * clang format and add missing header * Add host validation of add + layernorm2d + rsquant * Revert "Add host validation of add + layernorm2d + rsquant" This reverts commit936cb45797. * Remove deprecated flag [ROCm/composable_kernel commit:3d60953477]
48 lines
1.8 KiB
C++
48 lines
1.8 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2023, 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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#include "ck_tile/host/host_tensor.hpp"
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#include <thread>
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namespace ck_tile {
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template <typename ADataType, typename BDataType, typename ComputeDataType, typename ElementOp>
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CK_TILE_HOST void reference_unary_elementwise(const HostTensor<ADataType>& a,
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HostTensor<BDataType>& b,
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ElementOp element_op)
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{
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// TODO: imeplement gpu version reference function
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auto f = [&](auto i) {
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auto v_a = type_convert<ComputeDataType>(a.mData[i]);
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auto v_b = element_op(v_a);
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b.mData[i] = ck_tile::type_convert<BDataType>(v_b);
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};
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make_ParallelTensorFunctor(f, b.get_element_space_size())(std::thread::hardware_concurrency());
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}
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template <typename ADataType,
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typename BDataType,
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typename CDataType,
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typename ComputeDataType,
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typename ElementOp>
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CK_TILE_HOST void reference_binary_elementwise(const HostTensor<ADataType>& a,
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const HostTensor<BDataType>& b,
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HostTensor<CDataType>& c,
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ElementOp element_op)
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{
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// TODO: imeplement gpu version reference function
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auto f = [&](auto i) {
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auto v_a = type_convert<ComputeDataType>(a.mData[i]);
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auto v_b = type_convert<ComputeDataType>(b.mData[i]);
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auto v_c = element_op(v_a, v_b);
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c.mData[i] = ck_tile::type_convert<CDataType>(v_c);
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};
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make_ParallelTensorFunctor(f, c.get_element_space_size())(std::thread::hardware_concurrency());
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}
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} // namespace ck_tile
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