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Fix bug of layernorm ckProfiler and refine code (#448)

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* Fix bug of profiler for layernorm

* 1. Rename layernorm into normalization
2. Decouple softmax from normalization

* clang-format
This commit is contained in:
rocking5566
2022-10-13 10:06:39 +08:00
committed by GitHub
parent a8236c1912
commit 1b62bfaa2a
29 changed files with 423 additions and 461 deletions
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56
test/normalization/test_groupnorm_fp32.cpp Normal file
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// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
#include "gtest/gtest.h"
#include "profiler/include/profile_groupnorm_impl.hpp"
using F16 = ck::half_t;
using F32 = float;
using ck::index_t;
template <typename Tuple>
class TestGroupnorm : public ::testing::Test
{
protected:
using XDataType = std::tuple_element_t<0, Tuple>;
using GammaDataType = std::tuple_element_t<1, Tuple>;
using BetaDataType = std::tuple_element_t<2, Tuple>;
using AccDataType = std::tuple_element_t<3, Tuple>;
using YDataType = std::tuple_element_t<4, Tuple>;
void Run()
{
// N, H, W, G, C
std::vector<std::vector<ck::index_t>> lengths = {{1, 1, 1, 1, 1},
{1, 2, 3, 4, 5},
{256, 9, 9, 9, 9},
{1, 64, 64, 32, 10},
{1, 32, 32, 32, 20},
{1, 16, 16, 32, 40}};
for(auto length : lengths)
{
bool success =
ck::profiler::profile_groupnorm_impl<XDataType,
GammaDataType,
BetaDataType,
AccDataType,
YDataType>(true, 2, false, false, length);
EXPECT_TRUE(success);
}
}
};
using KernelTypes = ::testing::Types<
// XDataType, GammaDataType, BetaDataType, AccDataType, YDataType>
std::tuple<F32, F32, F32, F32, F32>,
std::tuple<F32, F32, F32, F32, F32>,
std::tuple<F32, F32, F32, F32, F32>,
std::tuple<F32, F32, F32, F32, F32>,
std::tuple<F32, F32, F32, F32, F32>,
std::tuple<F32, F32, F32, F32, F32>,
std::tuple<F32, F32, F32, F32, F32>,
std::tuple<F32, F32, F32, F32, F32>>;
TYPED_TEST_SUITE(TestGroupnorm, KernelTypes);
TYPED_TEST(TestGroupnorm, Test_FP32) { this->Run(); }