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* split the types in gemm_bilinear instances, add condition to cmake policy * fix syntax * split the data types in batchnorm examples * fix the batchnorm_bwd test * fix types in the batchnorm_bwd test
106 lines
3.7 KiB
C++
106 lines
3.7 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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#include <cstdlib>
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#include <iostream>
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#include <initializer_list>
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#include <vector>
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#include <tuple>
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#include <gtest/gtest.h>
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#include "profiler/profile_batchnorm_backward_impl.hpp"
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using F16 = ck::half_t;
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using F32 = float;
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using BF16 = ck::bhalf_t;
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using F64 = double;
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template <typename Tuple>
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class TestBatchNormBwdRank4 : public ::testing::Test
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{
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private:
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const double epsilon = std::numeric_limits<float>::epsilon();
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protected:
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using XDataType = std::tuple_element_t<0, Tuple>;
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using DxDataType = std::tuple_element_t<1, Tuple>;
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using DyDataType = std::tuple_element_t<2, Tuple>;
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using AccDataType = std::tuple_element_t<3, Tuple>;
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using ScaleDataType = std::tuple_element_t<4, Tuple>;
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using BiasDataType = std::tuple_element_t<5, Tuple>;
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using MeanVarDataType = std::tuple_element_t<6, Tuple>;
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std::vector<std::vector<size_t>> list_of_lengths = {
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{128, 16, 3, 1024}, {128, 16, 6, 512}, {1, 1, 1, 1}, {4, 4, 4, 4}, {32, 32, 32, 32}};
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std::vector<int> reduceDims;
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template <int NumReduceDim>
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void Run()
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{
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for(auto& inOutLengths : list_of_lengths)
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{
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bool pass = true;
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EXPECT_FALSE(reduceDims.size() != NumReduceDim);
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pass = pass && ck::profiler::profile_batchnorm_backward_impl<XDataType,
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DxDataType,
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DyDataType,
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AccDataType,
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ScaleDataType,
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BiasDataType,
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MeanVarDataType,
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4,
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NumReduceDim>(
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true, 3, false, false, inOutLengths, reduceDims, true, epsilon);
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pass = pass && ck::profiler::profile_batchnorm_backward_impl<XDataType,
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DxDataType,
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DyDataType,
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AccDataType,
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ScaleDataType,
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BiasDataType,
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MeanVarDataType,
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4,
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NumReduceDim>(
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true, 3, false, false, inOutLengths, reduceDims, false, epsilon);
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EXPECT_TRUE(pass);
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}
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}
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};
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using KernelTypes = ::testing::Types<
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#ifdef CK_ENABLE_FP16
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std::tuple<F16, F32, F32, F32, F16, F32, F32>
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#endif
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#ifdef CK_ENABLE_FP32
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,
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std::tuple<F32, F32, F32, F32, F32, F32, F32>
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#endif
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#ifdef CK_ENABLE_BF16
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,
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std::tuple<BF16, F32, F32, F32, BF16, F32, F32>
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#endif
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#ifdef CK_ENABLE_FP64
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,
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std::tuple<F64, F64, F64, F64, F64, F64, F64>
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#endif
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>;
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TYPED_TEST_SUITE(TestBatchNormBwdRank4, KernelTypes);
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// nhwc
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TYPED_TEST(TestBatchNormBwdRank4, nhwc)
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{
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this->reduceDims = {0, 1, 2};
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this->template Run<3>();
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}
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// nchw
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TYPED_TEST(TestBatchNormBwdRank4, nchw)
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{
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this->reduceDims = {0, 2, 3};
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this->template Run<3>();
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}
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