mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-05 22:22:27 +00:00
4eba345f6e
* Add groupnorm example by layernorm 1. Reference is not ready 2. shape of gamma and beta need to be fix * Let shape of gamma and beta can be same as x * Modify test, instance and client example * [What] Fix bug of layernorm for greater than 2 dimension. [Why] We need to get upper length from merge transform instead of embed transform. * Add reference for groupnorm * Fuse sigmoid after groupnorm * [What] Rename original layernorm into layernorm2d [Why] Prepare to add groupnorm using layernorm5d * clang-format * Add groupnorm test * Refine error message * Add groupnorm ckProfiler * Test groupnorm kernel from device_instance * update example * upadte profiler * Fix test naming * Fix argc number * Move descriptor and sweeponce to argument for quick debugging Co-authored-by: Chao Liu <chao.liu2@amd.com>
30 lines
1.9 KiB
C++
30 lines
1.9 KiB
C++
// SPDX-License-Identifier: MIT
|
|
// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
|
|
|
|
#include "gtest/gtest.h"
|
|
#include "test_layernorm2d_util.hpp"
|
|
|
|
template <ck::index_t N>
|
|
using I = ck::Number<N>;
|
|
|
|
template <typename Tuple>
|
|
class TestLayernorm2dFP32 : public ck::TestLayernorm2d<Tuple>
|
|
{
|
|
};
|
|
|
|
// clang-format off
|
|
using KernelTypes = ::testing::Types<
|
|
// XDataType, GammaDataType, BetaDataType, AccDataType, YDataType, Rank, NumReduceDim, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, XYSrcVectorDim, XSrcVectorSize, GammaSrcVectorDim, GammaSrcVectorSize, BetaSrcVectorDim, BetaSrcVectorSize, YDstVectorSize>
|
|
std::tuple<float, float, float, float, float, I<2>, I<1>, I<256>, I<8>, I<32>, I<1>, I<8>, I<1>, I<4>, I<1>, I<4>, I<1>, I<4>, I<4>>,
|
|
std::tuple<float, float, float, float, float, I<2>, I<1>, I<256>, I<8>, I<32>, I<2>, I<8>, I<1>, I<4>, I<1>, I<4>, I<1>, I<4>, I<4>>,
|
|
std::tuple<float, float, float, float, float, I<2>, I<1>, I<256>, I<4>, I<64>, I<1>, I<8>, I<1>, I<4>, I<1>, I<4>, I<1>, I<4>, I<4>>,
|
|
std::tuple<float, float, float, float, float, I<2>, I<1>, I<256>, I<4>, I<64>, I<2>, I<8>, I<1>, I<4>, I<1>, I<4>, I<1>, I<4>, I<4>>,
|
|
std::tuple<float, float, float, float, float, I<2>, I<1>, I<256>, I<2>, I<128>, I<1>, I<8>, I<1>, I<4>, I<1>, I<4>, I<1>, I<4>, I<4>>,
|
|
std::tuple<float, float, float, float, float, I<2>, I<1>, I<256>, I<2>, I<128>, I<2>, I<8>, I<1>, I<4>, I<1>, I<4>, I<1>, I<4>, I<4>>,
|
|
std::tuple<float, float, float, float, float, I<2>, I<1>, I<256>, I<1>, I<256>, I<1>, I<8>, I<1>, I<4>, I<1>, I<4>, I<1>, I<4>, I<4>>,
|
|
std::tuple<float, float, float, float, float, I<2>, I<1>, I<256>, I<1>, I<256>, I<2>, I<8>, I<1>, I<4>, I<1>, I<4>, I<1>, I<4>, I<4>>
|
|
>;
|
|
// clang-format on
|
|
TYPED_TEST_SUITE(TestLayernorm2dFP32, KernelTypes);
|
|
TYPED_TEST(TestLayernorm2dFP32, Test_FP32) { this->Run(); }
|