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/*! \file
    \brief Unit tests for conversion operators.
*/

#include "../common/cutlass_unit_test.h"

#include "cutlass/numeric_conversion.h"

#include "cutlass/layout/matrix.h"
#include "cutlass/util/host_tensor.h"

/////////////////////////////////////////////////////////////////////////////////////////////////

namespace test {
namespace core {
namespace kernel {

/////////////////////////////////////////////////////////////////////////////////////////////////

/// Conversion template
template <typename Destination, typename Source, int Count>
__global__ void convert(cutlass::Array<Destination, Count>* destination,
                        cutlass::Array<Source, Count> const* source) {
    cutlass::NumericArrayConverter<Destination, Source, Count> convert;

    *destination = convert(*source);
}

/////////////////////////////////////////////////////////////////////////////////////////////////

}  // namespace kernel
}  // namespace core
}  // namespace test

/////////////////////////////////////////////////////////////////////////////////////////////////

TEST(NumericConversion, f32_to_f16_rn) {
    int const kN = 1;
    using Source = float;
    using Destination = cutlass::half_t;

    dim3 grid(1, 1);
    dim3 block(1, 1);

    cutlass::HostTensor<cutlass::half_t, cutlass::layout::RowMajor> destination(
            {1, kN});
    cutlass::HostTensor<float, cutlass::layout::RowMajor> source({1, kN});

    for (int i = 0; i < kN; ++i) {
        source.host_data()[i] = float(i);
    }

    source.sync_device();

    test::core::kernel::convert<Destination, Source, 1><<<grid, block>>>(
            reinterpret_cast<cutlass::Array<Destination, 1>*>(
                    destination.device_data()),
            reinterpret_cast<cutlass::Array<Source, 1> const*>(
                    source.device_data()));

    destination.sync_host();

    for (int i = 0; i < kN; ++i) {
        EXPECT_TRUE(float(destination.host_data()[i]) == source.host_data()[i]);
    }
}

TEST(NumericConversion, f32x8_to_f16x8_rn) {
    int const kN = 8;
    using Source = float;
    using Destination = cutlass::half_t;

    dim3 grid(1, 1);
    dim3 block(1, 1);

    cutlass::HostTensor<Destination, cutlass::layout::RowMajor> destination(
            {1, kN});
    cutlass::HostTensor<Source, cutlass::layout::RowMajor> source({1, kN});

    for (int i = 0; i < kN; ++i) {
        source.host_data()[i] = float(i);
    }

    source.sync_device();

    test::core::kernel::convert<Destination, Source, kN><<<grid, block>>>(
            reinterpret_cast<cutlass::Array<Destination, kN>*>(
                    destination.device_data()),
            reinterpret_cast<cutlass::Array<Source, kN> const*>(
                    source.device_data()));

    destination.sync_host();

    for (int i = 0; i < kN; ++i) {
        EXPECT_TRUE(float(destination.host_data()[i]) == source.host_data()[i]);
    }
}

/////////////////////////////////////////////////////////////////////////////////////////////////

TEST(NumericConversion, f16_to_f32_rn) {
    int const kN = 1;
    using Source = cutlass::half_t;
    using Destination = float;

    dim3 grid(1, 1);
    dim3 block(1, 1);

    cutlass::HostTensor<float, cutlass::layout::RowMajor> destination({1, kN});
    cutlass::HostTensor<cutlass::half_t, cutlass::layout::RowMajor> source(
            {1, kN});

    for (int i = 0; i < kN; ++i) {
        source.host_data()[i] = Source(i);
    }

    source.sync_device();

    test::core::kernel::convert<Destination, Source, kN><<<grid, block>>>(
            reinterpret_cast<cutlass::Array<Destination, kN>*>(
                    destination.device_data()),
            reinterpret_cast<cutlass::Array<Source, kN> const*>(
                    source.device_data()));

    destination.sync_host();

    for (int i = 0; i < kN; ++i) {
        EXPECT_TRUE(float(destination.host_data()[i]) ==
                    float(source.host_data()[i]));
    }
}

TEST(NumericConversion, f16x8_to_f32x8_rn) {
    int const kN = 8;
    using Source = cutlass::half_t;
    using Destination = float;

    dim3 grid(1, 1);
    dim3 block(1, 1);

    cutlass::HostTensor<float, cutlass::layout::RowMajor> destination({1, kN});
    cutlass::HostTensor<cutlass::half_t, cutlass::layout::RowMajor> source(
            {1, kN});

    for (int i = 0; i < kN; ++i) {
        source.host_data()[i] = float(i);
    }

    source.sync_device();

    test::core::kernel::convert<Destination, Source, kN><<<grid, block>>>(
            reinterpret_cast<cutlass::Array<Destination, kN>*>(
                    destination.device_data()),
            reinterpret_cast<cutlass::Array<Source, kN> const*>(
                    source.device_data()));

    destination.sync_host();

    for (int i = 0; i < kN; ++i) {
        EXPECT_TRUE(float(destination.host_data()[i]) ==
                    float(source.host_data()[i]));
    }
}

/////////////////////////////////////////////////////////////////////////////////////////////////
