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[Ck tile] support rmsnorm and related fusion (#1605)

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* 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 commit 936cb45797.

* Remove deprecated flag
This commit is contained in:
rocking
2024-10-30 15:22:56 +08:00
committed by GitHub
parent 8632221814
commit 3d60953477
90 changed files with 4674 additions and 128 deletions
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47
include/ck_tile/host/reference/reference_elementwise.hpp Normal file
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// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck_tile/core.hpp"
#include "ck_tile/host/host_tensor.hpp"
#include <thread>
namespace ck_tile {
template <typename ADataType, typename BDataType, typename ComputeDataType, typename ElementOp>
CK_TILE_HOST void reference_unary_elementwise(const HostTensor<ADataType>& a,
HostTensor<BDataType>& b,
ElementOp element_op)
{
// TODO: imeplement gpu version reference function
auto f = [&](auto i) {
auto v_a = type_convert<ComputeDataType>(a.mData[i]);
auto v_b = element_op(v_a);
b.mData[i] = ck_tile::type_convert<BDataType>(v_b);
};
make_ParallelTensorFunctor(f, b.get_element_space_size())(std::thread::hardware_concurrency());
}
template <typename ADataType,
typename BDataType,
typename CDataType,
typename ComputeDataType,
typename ElementOp>
CK_TILE_HOST void reference_binary_elementwise(const HostTensor<ADataType>& a,
const HostTensor<BDataType>& b,
HostTensor<CDataType>& c,
ElementOp element_op)
{
// TODO: imeplement gpu version reference function
auto f = [&](auto i) {
auto v_a = type_convert<ComputeDataType>(a.mData[i]);
auto v_b = type_convert<ComputeDataType>(b.mData[i]);
auto v_c = element_op(v_a, v_b);
c.mData[i] = ck_tile::type_convert<CDataType>(v_c);
};
make_ParallelTensorFunctor(f, c.get_element_space_size())(std::thread::hardware_concurrency());
}
} // namespace ck_tile