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We can now drive the test from a constexpr std::array of TestCases and a ::testing::Types sequence of test indicies.
160 lines
6.7 KiB
C++
160 lines
6.7 KiB
C++
#include <gtest/gtest.h>
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#include <ck_tile/builder/conv_builder.hpp>
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namespace {
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namespace ckb = ck_tile::builder;
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struct FwdConvSignature
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{
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static constexpr int SPATIAL_DIM = 2;
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static constexpr auto DIRECTION = ckb::ConvDirection::Forward;
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static constexpr auto LAYOUT = ckb::GroupConvLayout::NHWGC_GKYXC_NHWGK;
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static constexpr auto DATA_TYPE = ckb::DataType::FP16;
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};
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static_assert(ckb::ConvSignature<FwdConvSignature>);
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struct DefaultFwdConvAlgorithm
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{
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};
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static_assert(ckb::ConvAlgorithm<DefaultFwdConvAlgorithm>);
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static constexpr char API_VERSION[] = "0.1.0";
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TEST(ConvBuilderTest, TestDefaultInstance)
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{
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static constexpr DefaultFwdConvAlgorithm algorithm;
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using Builder = ckb::ConvBuilder<FwdConvSignature, algorithm, API_VERSION>;
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EXPECT_EQ(
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Builder::Instance::TypeString(),
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"DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle_V3<256, 256, 256, 32, Default, 32, 32, 4, 4, "
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"8, 8, 8, 1, 1, BlkGemmPipelineScheduler: Intrawave, BlkGemmPipelineVersion: v4>");
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}
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struct FwdConvAlgorithm
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{
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ckb::ThreadBlock thread_block;
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ckb::ConvTuningParams tuning_params;
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struct BlockTransfer
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{
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ckb::BlockATransferLengthsInfo thread_cluster_lengths_a;
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ckb::BlockBTransferLengthsInfo thread_cluster_lengths_b;
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ckb::BlockCTransferLengthsInfo thread_cluster_lengths_c;
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} block_transfer;
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};
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static_assert(ckb::ConvAlgorithm<FwdConvAlgorithm>);
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static_assert(ckb::HasThreadBlockInfo<FwdConvAlgorithm>);
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static_assert(ckb::HasConvTuningInfo<FwdConvAlgorithm>);
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static_assert(ckb::HasABlockTransferInfo<FwdConvAlgorithm>);
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static_assert(ckb::HasBBlockTransferInfo<FwdConvAlgorithm>);
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static_assert(ckb::HasCBlockTransferInfo<FwdConvAlgorithm>);
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struct TestCase
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{
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std::string_view name;
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FwdConvAlgorithm algorithm;
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std::string_view expected_type;
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};
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constexpr std::array TEST_CASES = {
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TestCase{
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.name = "ConvFwdXdlBf16CompInstances2x_0",
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.algorithm =
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{.thread_block{.block_size = 256, .sub_matrix = {.m = 256, .n = 128, .k = 64}},
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.tuning_params{.ak1 = 16, .bk1 = 16, .m_xdl_per_wave = 2, .n_xdl_per_wave = 2},
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.block_transfer{
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.thread_cluster_lengths_a = {.k0 = 4, .m = 64, .k1 = 1},
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.thread_cluster_lengths_b = {.k0 = 4, .n = 64, .k1 = 1},
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.thread_cluster_lengths_c =
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{.m_block = 1, .m_wave_per_xdl = 32, .n_block = 1, .n_wave_per_xdl = 8},
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}},
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.expected_type =
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"DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle_V3<256, 256, 128, 64, Default, 32, 32, "
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"2, 2, 8, 8, 8, 1, 1, BlkGemmPipelineScheduler: Intrawave, BlkGemmPipelineVersion: v4>",
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},
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TestCase{
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.name = "GroupedConvFwdXdlBf16CompInstance0",
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.algorithm = {.thread_block{.block_size = 256, .sub_matrix = {.m = 256, .n = 256, .k = 32}},
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.tuning_params{.ak1 = 8, .bk1 = 8, .m_xdl_per_wave = 4, .n_xdl_per_wave = 4},
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.block_transfer{
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.thread_cluster_lengths_a = {.k0 = 4, .m = 64, .k1 = 1},
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.thread_cluster_lengths_b = {.k0 = 4, .n = 64, .k1 = 1},
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.thread_cluster_lengths_c = {.m_block = 1,
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.m_wave_per_xdl = 32,
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.n_block = 1,
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.n_wave_per_xdl = 8},
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}},
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.expected_type =
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"DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle_V3<256, 256, 256, 32, Default, 32, 32, "
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"4, 4, 8, 8, 8, 1, 1, BlkGemmPipelineScheduler: Intrawave, BlkGemmPipelineVersion: v4>",
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}};
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static constexpr int NUM_TEST_CASES = std::tuple_size_v<decltype(TEST_CASES)>;
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// Helper to generate testing::Types<TestIndex<0>, TestIndex<1>, ..., TestIndex<N-1>>.
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template <int N>
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struct TestingIndices
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{
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template <int INDEX>
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struct TestIndex
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{
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static constexpr int index = INDEX;
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};
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template <typename T, T... Indices>
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static auto GenerateTypes(std::integer_sequence<T, Indices...>)
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{
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return ::testing::Types<TestIndex<Indices>...>{};
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}
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// testing::Types sequence of TestIndex types.
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using Types = decltype(GenerateTypes(std::make_integer_sequence<int, N>{}));
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};
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// A typed test suite so we can instantiate all the kernel builders.
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template <typename T>
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class ConvBuilderTest : public ::testing::Test
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{
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protected:
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static constexpr int N = T::index;
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static constexpr const std::string_view& NAME = TEST_CASES[N].name;
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static constexpr auto& ALGORITHM = TEST_CASES[N].algorithm;
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static constexpr const std::string_view& EXPECTED_TYPE = TEST_CASES[N].expected_type;
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};
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struct TestNameGenerator
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{
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template <typename T>
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static std::string GetName(int index)
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{
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return std::to_string(index) + "." + std::string(TEST_CASES[index].name);
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}
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};
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TYPED_TEST_SUITE(ConvBuilderTest, TestingIndices<NUM_TEST_CASES>::Types, TestNameGenerator);
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// General test case, instantiated for each test case.
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TYPED_TEST(ConvBuilderTest, TestInstance)
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{
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static constexpr const FwdConvAlgorithm& ALGORITHM = ConvBuilderTest<TypeParam>::ALGORITHM;
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using Builder = ckb::ConvBuilder<FwdConvSignature, ALGORITHM, API_VERSION>;
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EXPECT_EQ(Builder::Instance::TypeString(), ConvBuilderTest<TypeParam>::EXPECTED_TYPE);
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const auto& tp = ALGORITHM.tuning_params;
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EXPECT_EQ(Builder::factory::TUNING.ak1, tp.ak1);
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EXPECT_EQ(Builder::factory::TUNING.bk1, tp.bk1);
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const auto& tcla = ALGORITHM.block_transfer.thread_cluster_lengths_a;
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EXPECT_EQ(Builder::factory::A_BLOCK_TRANSFER.thread_cluster_lengths[0], tcla.k0);
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EXPECT_EQ(Builder::factory::A_BLOCK_TRANSFER.thread_cluster_lengths[1], tcla.m);
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EXPECT_EQ(Builder::factory::A_BLOCK_TRANSFER.thread_cluster_lengths[2], tcla.k1);
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const auto& tclb = ALGORITHM.block_transfer.thread_cluster_lengths_b;
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EXPECT_EQ(Builder::factory::B_BLOCK_TRANSFER.thread_cluster_lengths[0], tclb.k0);
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EXPECT_EQ(Builder::factory::B_BLOCK_TRANSFER.thread_cluster_lengths[1], tclb.n);
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EXPECT_EQ(Builder::factory::B_BLOCK_TRANSFER.thread_cluster_lengths[2], tclb.k1);
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const auto& tclc = ALGORITHM.block_transfer.thread_cluster_lengths_c;
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EXPECT_EQ(Builder::factory::C_BLOCK_TRANSFER.thread_cluster_lengths[0], tclc.m_block);
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EXPECT_EQ(Builder::factory::C_BLOCK_TRANSFER.thread_cluster_lengths[1], tclc.m_wave_per_xdl);
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EXPECT_EQ(Builder::factory::C_BLOCK_TRANSFER.thread_cluster_lengths[2], tclc.n_block);
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EXPECT_EQ(Builder::factory::C_BLOCK_TRANSFER.thread_cluster_lengths[3], tclc.n_wave_per_xdl);
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}
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} // namespace
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