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// Copyright (c) 2023-2024, Advanced Micro Devices, Inc. All rights reserved.
#include <cstdlib>
#include <iostream>
#include <memory>
#include <initializer_list>
#include <vector>
#include <tuple>
#include <gtest/gtest.h>
#include "profiler/profile_contraction_impl.hpp"
#include "profiler/profile_contraction_utils.hpp"
using F16 = ck::half_t;
using BF16 = ck::bhalf_t;
using F32 = float;
using F64 = double;
using Row = ck::tensor_layout::gemm::RowMajor;
using Col = ck::tensor_layout::gemm::ColumnMajor;
using Bilinear = ck::tensor_operation::element_wise::Bilinear;
using Scale = ck::tensor_operation::element_wise::Scale;
template <ck::index_t NDims>
struct Dimensions
{
constexpr static ck::index_t NumDimMNK = NDims;
std::vector<ck::index_t> M;
std::vector<ck::index_t> N;
std::vector<ck::index_t> K;
};
template <typename Tuple>
class TestContraction : public ::testing::Test
{
protected:
using ALayout = std::tuple_element_t<0, Tuple>;
using BLayout = std::tuple_element_t<1, Tuple>;
using CDLayout = std::tuple_element_t<2, Tuple>;
using DataType = std::tuple_element_t<3, Tuple>;
using DTupleDataType = std::tuple_element_t<4, Tuple>;
using ComputeDataType = std::tuple_element_t<5, Tuple>;
using CDElementOp = std::tuple_element_t<6, Tuple>;
std::vector<ck::index_t> init_methods = {1, 2};
std::unique_ptr<CDElementOp> p_cd_element_op;
template <ck::index_t NumDim>
void Run(Dimensions<NumDim> dimension_params)
{
constexpr ck::index_t NumDimMNK = ck::remove_cvref_t<decltype(dimension_params)>::NumDimMNK;
std::vector<ck::index_t> StridesA(2 * NumDim);
std::vector<ck::index_t> StridesB(2 * NumDim);
std::vector<ck::index_t> StridesC(2 * NumDim);
std::vector<ck::index_t> StridesD(2 * NumDim);
const auto& M = dimension_params.M;
const auto& N = dimension_params.N;
const auto& K = dimension_params.K;
auto merge_dims = [](const std::vector<ck::index_t>& dims01,
const std::vector<ck::index_t>& dims23) {
std::vector<ck::index_t> dims_szt(dims01.begin(), dims01.end());
dims_szt.insert(dims_szt.end(), dims23.begin(), dims23.end());
return dims_szt;
};
assign_default_strides(ALayout{}, StridesA, merge_dims(M, K));
assign_default_strides(BLayout{}, StridesB, merge_dims(N, K));
assign_default_strides(CDLayout{}, StridesC, merge_dims(M, N));
assign_default_strides(CDLayout{}, StridesD, merge_dims(M, N));
for(const ck::index_t init_method : init_methods)
{
bool pass =
ck::profiler::profile_contraction_impl<NumDimMNK,
ALayout,
BLayout,
CDLayout,
DataType,
ComputeDataType,
DTupleDataType,
CDElementOp>(true /*do_verification*/,
init_method,
false /*do_logs*/,
false /*time_kernel*/,
*p_cd_element_op,
dimension_params.M,
dimension_params.N,
dimension_params.K,
StridesA,
StridesB,
StridesC,
StridesD);
EXPECT_TRUE(pass);
}
}
};
template <typename Tuple>
class TestContractionScale : public TestContraction<Tuple>
{
};
template <typename Tuple>
class TestContractionBilinear : public TestContraction<Tuple>
{
};
#define ALL_LAYOUT_COMBINATIONS(dt, tuple_dt, compute_dt, op) \
std::tuple<Row, Row, Row, dt, tuple_dt, compute_dt, op>, \
std::tuple<Row, Col, Row, dt, tuple_dt, compute_dt, op>, \
std::tuple<Col, Row, Row, dt, tuple_dt, compute_dt, op>, \
std::tuple<Col, Col, Row, dt, tuple_dt, compute_dt, op>
using BilinearKernelTypes =
::testing::Types<ALL_LAYOUT_COMBINATIONS(F32, ck::Tuple<F32>, F32, Bilinear),
ALL_LAYOUT_COMBINATIONS(F64, ck::Tuple<F64>, F64, Bilinear)>;
using ScaleKernelTypes = ::testing::Types<ALL_LAYOUT_COMBINATIONS(F32, ck::Tuple<>, F32, Scale),
ALL_LAYOUT_COMBINATIONS(F64, ck::Tuple<>, F64, Scale)>;
TYPED_TEST_SUITE(TestContractionBilinear, BilinearKernelTypes);
TYPED_TEST_SUITE(TestContractionScale, ScaleKernelTypes);
TYPED_TEST(TestContractionBilinear, bilinear)
{
this->p_cd_element_op = std::make_unique<Bilinear>(1.f, 1.f);
this->template Run<6>({{2, 3, 2, 3, 2, 3}, {2, 3, 2, 3, 2, 3}, {2, 2, 2, 2, 2, 4}});
this->template Run<6>({{1, 1, 1, 3, 2, 3}, {1, 1, 1, 3, 2, 3}, {1, 1, 1, 2, 2, 4}});
this->template Run<2>({{16, 8}, {16, 8}, {16, 8}});
this->template Run<2>({{8, 16}, {16, 8}, {8, 16}});
this->p_cd_element_op = std::make_unique<Bilinear>(-0.5f, 0.5f);
this->template Run<6>({{2, 3, 2, 3, 2, 3}, {2, 3, 2, 3, 2, 3}, {2, 2, 2, 2, 2, 4}});
this->template Run<6>({{1, 1, 1, 3, 2, 3}, {1, 1, 1, 3, 2, 3}, {1, 1, 1, 2, 2, 4}});
this->template Run<2>({{16, 8}, {16, 8}, {16, 8}});
this->template Run<2>({{8, 16}, {16, 8}, {8, 16}});
}
TYPED_TEST(TestContractionScale, scale)
{
this->p_cd_element_op = std::make_unique<Scale>(1.f);
this->template Run<6>({{2, 3, 2, 3, 2, 3}, {2, 3, 2, 3, 2, 3}, {2, 2, 2, 2, 2, 4}});
this->template Run<6>({{1, 1, 1, 3, 2, 3}, {1, 1, 1, 3, 2, 3}, {1, 1, 1, 2, 2, 4}});
this->template Run<2>({{16, 8}, {16, 8}, {16, 8}});
this->template Run<2>({{8, 16}, {16, 8}, {8, 16}});
this->p_cd_element_op = std::make_unique<Scale>(0.5f);
this->template Run<6>({{2, 3, 2, 3, 2, 3}, {2, 3, 2, 3, 2, 3}, {2, 2, 2, 2, 2, 4}});
this->template Run<6>({{1, 1, 1, 3, 2, 3}, {1, 1, 1, 3, 2, 3}, {1, 1, 1, 2, 2, 4}});
this->template Run<2>({{16, 8}, {16, 8}, {16, 8}});
this->template Run<2>({{8, 16}, {16, 8}, {8, 16}});
}
template <typename Tuple>
class TestContractionScaleMixedPrecision : public TestContraction<Tuple>
{
};
template <typename Tuple>
class TestContractionBilinearMixedPrecision : public TestContraction<Tuple>
{
};
using BilinearKernelTypesMixedPrecision =
::testing::Types<ALL_LAYOUT_COMBINATIONS(F32, ck::Tuple<F32>, F16, Bilinear),
ALL_LAYOUT_COMBINATIONS(F32, ck::Tuple<F32>, BF16, Bilinear),
ALL_LAYOUT_COMBINATIONS(F64, ck::Tuple<F64>, F32, Bilinear),
ALL_LAYOUT_COMBINATIONS(F16, ck::Tuple<F16>, F32, Bilinear),
ALL_LAYOUT_COMBINATIONS(BF16, ck::Tuple<BF16>, F32, Bilinear)>;
using ScaleKernelTypesMixedPrecision =
::testing::Types<ALL_LAYOUT_COMBINATIONS(F32, ck::Tuple<>, F16, Scale),
ALL_LAYOUT_COMBINATIONS(F32, ck::Tuple<>, BF16, Scale),
ALL_LAYOUT_COMBINATIONS(F64, ck::Tuple<>, F32, Scale),
ALL_LAYOUT_COMBINATIONS(F16, ck::Tuple<>, F32, Scale),
ALL_LAYOUT_COMBINATIONS(BF16, ck::Tuple<>, F32, Scale)>;
TYPED_TEST_SUITE(TestContractionBilinearMixedPrecision, BilinearKernelTypesMixedPrecision);
TYPED_TEST_SUITE(TestContractionScaleMixedPrecision, ScaleKernelTypesMixedPrecision);
TYPED_TEST(TestContractionBilinearMixedPrecision, bilinear)
{
this->p_cd_element_op = std::make_unique<Bilinear>(1.f, 1.f);
this->template Run<6>({{2, 3, 2, 3, 2, 3}, {2, 3, 2, 3, 2, 3}, {2, 2, 2, 2, 2, 4}});
this->template Run<6>({{1, 1, 1, 3, 2, 3}, {1, 1, 1, 3, 2, 3}, {1, 1, 1, 2, 2, 4}});
this->template Run<2>({{16, 8}, {16, 8}, {16, 8}});
this->template Run<2>({{8, 16}, {16, 8}, {8, 16}});
this->p_cd_element_op = std::make_unique<Bilinear>(-0.5f, 0.5f);
this->template Run<6>({{2, 3, 2, 3, 2, 3}, {2, 3, 2, 3, 2, 3}, {2, 2, 2, 2, 2, 4}});
this->template Run<6>({{1, 1, 1, 3, 2, 3}, {1, 1, 1, 3, 2, 3}, {1, 1, 1, 2, 2, 4}});
this->template Run<2>({{16, 8}, {16, 8}, {16, 8}});
this->template Run<2>({{8, 16}, {16, 8}, {8, 16}});
}
TYPED_TEST(TestContractionScaleMixedPrecision, scale)
{
this->p_cd_element_op = std::make_unique<Scale>(1.f);
this->template Run<6>({{2, 3, 2, 3, 2, 3}, {2, 3, 2, 3, 2, 3}, {2, 2, 2, 2, 2, 4}});
this->template Run<6>({{1, 1, 1, 3, 2, 3}, {1, 1, 1, 3, 2, 3}, {1, 1, 1, 2, 2, 4}});
this->template Run<2>({{16, 8}, {16, 8}, {16, 8}});
this->template Run<2>({{8, 16}, {16, 8}, {8, 16}});
this->p_cd_element_op = std::make_unique<Scale>(0.5f);
this->template Run<6>({{2, 3, 2, 3, 2, 3}, {2, 3, 2, 3, 2, 3}, {2, 2, 2, 2, 2, 4}});
this->template Run<6>({{1, 1, 1, 3, 2, 3}, {1, 1, 1, 3, 2, 3}, {1, 1, 1, 2, 2, 4}});
this->template Run<2>({{16, 8}, {16, 8}, {16, 8}});
this->template Run<2>({{8, 16}, {16, 8}, {8, 16}});
// special cases
this->template Run<2>({{1, 1}, {16, 8}, {8, 16}});
this->template Run<2>({{8, 16}, {16, 8}, {1, 1}});
this->template Run<2>({{8, 16}, {1, 1}, {8, 16}});
this->template Run<2>({{1, 1}, {1, 1}, {1, 1}});
}
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