// MIT License
//
// Copyright (c) 2017-2021 Advanced Micro Devices, Inc. All rights reserved.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in all
// copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
// SOFTWARE.

#include "common_test_header.hpp"

// required rocprim headers
#include <rocprim/device/device_segmented_reduce.hpp>

// required test headers
#include "test_utils_types.hpp"

template<
    class Input,
    class Output,
    class ReduceOp = ::rocprim::plus<Input>,
    int Init = 0, // as only integral types supported, int is used here even for floating point inputs
    unsigned int MinSegmentLength = 0,
    unsigned int MaxSegmentLength = 1000,
    // Tests output iterator with void value_type (OutputIterator concept)
    bool UseIdentityIterator = false
>
struct params
{
    using input_type = Input;
    using output_type = Output;
    using reduce_op_type = ReduceOp;
    static constexpr int init = Init;
    static constexpr unsigned int min_segment_length = MinSegmentLength;
    static constexpr unsigned int max_segment_length = MaxSegmentLength;
    static constexpr bool use_identity_iterator = UseIdentityIterator;
};

template<class Params>
class RocprimDeviceSegmentedReduce : public ::testing::Test {
public:
    using params = Params;
};

using custom_short2 = test_utils::custom_test_type<short>;
using custom_int2 = test_utils::custom_test_type<int>;
using custom_double2 = test_utils::custom_test_type<double>;

typedef ::testing::Types<
    params<unsigned char, unsigned int, rocprim::plus<unsigned int>>,
    params<int, int, rocprim::plus<int>, -100, 0, 10000>,
    params<double, double, rocprim::minimum<double>, 1000, 0, 10000>,
    params<int8_t, int8_t, rocprim::maximum<int8_t>, 0, 0, 2000>,
    params<uint8_t, uint8_t, rocprim::plus<uint8_t>, 10, 1000, 10000>,
    params<uint8_t, uint8_t, rocprim::maximum<uint8_t>, 50, 2, 10>,
    params<rocprim::half, rocprim::half, test_utils::half_maximum, 0, 1000, 2000>,
    params<rocprim::half, rocprim::half, test_utils::half_plus, 50, 2, 10>,
    params<rocprim::bfloat16, rocprim::bfloat16, test_utils::bfloat16_maximum, 0, 1000, 2000>,
    params<rocprim::bfloat16, rocprim::bfloat16, test_utils::bfloat16_plus, 50, 2, 10>,
    params<custom_short2, custom_int2, rocprim::plus<custom_int2>, 10, 1000, 10000>,
    params<custom_double2, custom_double2, rocprim::maximum<custom_double2>, 50, 2, 10>,
    params<float, float, rocprim::plus<float>, 123, 100, 200>,
    params<unsigned char, long long, rocprim::plus<int>, 10, 3000, 4000>,
#ifndef __HIP__
    // hip-clang does not allow to convert half to float
    params<rocprim::half, float, rocprim::plus<float>, 0, 10, 300>,
#endif
    params<rocprim::bfloat16, float, rocprim::plus<float>, 0, 10, 300>,
    params<rocprim::half, rocprim::half, test_utils::half_minimum, 0, 1000, 30000>,
    params<rocprim::bfloat16, rocprim::bfloat16, test_utils::bfloat16_minimum, 0, 1000, 30000>
> Params;

TYPED_TEST_SUITE(RocprimDeviceSegmentedReduce, Params);

std::vector<size_t> get_sizes(int seed_value)
{
    std::vector<size_t> sizes = {
        1024, 2048, 4096, 1792,
        0, 1, 10, 53, 211, 500,
        2345, 11001, 34567,
        100000,
        (1 << 16) - 1220
    };
    const std::vector<size_t> random_sizes = test_utils::get_random_data<size_t>(5, 1, 1000000, seed_value);
    sizes.insert(sizes.end(), random_sizes.begin(), random_sizes.end());
    return sizes;
}

TYPED_TEST(RocprimDeviceSegmentedReduce, Reduce)
{
    int device_id = test_common_utils::obtain_device_from_ctest();
    SCOPED_TRACE(testing::Message() << "with device_id= " << device_id);
    HIP_CHECK(hipSetDevice(device_id));

    using input_type = typename TestFixture::params::input_type;
    using output_type = typename TestFixture::params::output_type;
    using reduce_op_type = typename TestFixture::params::reduce_op_type;
    // for bfloat16 and half we use double for host-side accumulation
    using reduce_op_type_host = typename std::conditional<std::is_same<reduce_op_type,test_utils::bfloat16_plus>::value ||
                                                         std::is_same<reduce_op_type,test_utils::half_plus>::value,
                                                     rocprim::plus<double>, reduce_op_type>::type;
    reduce_op_type reduce_op;
    reduce_op_type_host reduce_op_host;

    constexpr bool use_identity_iterator = TestFixture::params::use_identity_iterator;

    // for bfloat16 and half we use double for host-side accumulation
    using result_type = typename std::conditional<
        std::is_same<reduce_op_type_host,rocprim::plus<double>>::value, double, output_type>::type;
    using offset_type = unsigned int;

    const input_type init = (input_type)TestFixture::params::init;
    const bool debug_synchronous = false;
    SCOPED_TRACE(testing::Message() << "with reduce_op_type_host= " << typeid(reduce_op_host).name());

    std::random_device rd;
    std::default_random_engine gen(rd());
    std::uniform_int_distribution<size_t> segment_length_dis(
        TestFixture::params::min_segment_length,
        TestFixture::params::max_segment_length
    );

    for (size_t seed_index = 0; seed_index < random_seeds_count + seed_size; seed_index++)
    {
        unsigned int seed_value = seed_index < random_seeds_count  ? rand() : seeds[seed_index - random_seeds_count];
        SCOPED_TRACE(testing::Message() << "with seed= " << seed_value);

        for(size_t size : get_sizes(seed_value))
        {
            if (size == 0 && test_common_utils::use_hmm())
            {
                // hipMallocManaged() currently doesnt support zero byte allocation
                continue;
            }

            SCOPED_TRACE(testing::Message() << "with size = " << size);

            hipStream_t stream = 0; // default

            // Generate data and calculate expected results
            std::vector<output_type> aggregates_expected;

            std::vector<input_type> values_input = test_utils::get_random_data<input_type>(size, 0, 100, seed_value);

            std::vector<offset_type> offsets;
            unsigned int segments_count = 0;
            size_t offset = 0;
            while(offset < size)
            {
                const size_t segment_length = segment_length_dis(gen);
                offsets.push_back(offset);

                const size_t end = std::min(size, offset + segment_length);
                result_type aggregate = init;
                for(size_t i = offset; i < end; i++)
                {
                    aggregate = reduce_op_host(aggregate, values_input[i]);
                }
                aggregates_expected.push_back(static_cast<output_type>(aggregate));

                segments_count++;
                offset += segment_length;
            }
            offsets.push_back(size);

            input_type * d_values_input;
            HIP_CHECK(test_common_utils::hipMallocHelper(&d_values_input, size * sizeof(input_type)));
            HIP_CHECK(
                hipMemcpy(
                    d_values_input, values_input.data(),
                    size * sizeof(input_type),
                    hipMemcpyHostToDevice
                )
            );

            offset_type * d_offsets;
            HIP_CHECK(test_common_utils::hipMallocHelper(&d_offsets, (segments_count + 1) * sizeof(offset_type)));
            HIP_CHECK(
                hipMemcpy(
                    d_offsets, offsets.data(),
                    (segments_count + 1) * sizeof(offset_type),
                    hipMemcpyHostToDevice
                )
            );

            output_type * d_aggregates_output;
            HIP_CHECK(test_common_utils::hipMallocHelper(&d_aggregates_output, segments_count * sizeof(output_type)));

            size_t temporary_storage_bytes;

            HIP_CHECK(
                rocprim::segmented_reduce(
                    nullptr, temporary_storage_bytes,
                    d_values_input, d_aggregates_output,
                    segments_count,
                    d_offsets, d_offsets + 1,
                    reduce_op, init,
                    stream, debug_synchronous
                )
            );

            ASSERT_GT(temporary_storage_bytes, 0);

            void * d_temporary_storage;
            HIP_CHECK(test_common_utils::hipMallocHelper(&d_temporary_storage, temporary_storage_bytes));

            HIP_CHECK(
                rocprim::segmented_reduce(
                    d_temporary_storage, temporary_storage_bytes,
                    d_values_input,
                    test_utils::wrap_in_identity_iterator<use_identity_iterator>(d_aggregates_output),
                    segments_count,
                    d_offsets, d_offsets + 1,
                    reduce_op, init,
                    stream, debug_synchronous
                )
            );

            HIP_CHECK(hipFree(d_temporary_storage));

            std::vector<output_type> aggregates_output(segments_count);
            HIP_CHECK(
                hipMemcpy(
                    aggregates_output.data(), d_aggregates_output,
                    segments_count * sizeof(output_type),
                    hipMemcpyDeviceToHost
                )
            );

            HIP_CHECK(hipFree(d_values_input));
            HIP_CHECK(hipFree(d_offsets));
            HIP_CHECK(hipFree(d_aggregates_output));

            ASSERT_NO_FATAL_FAILURE(test_utils::assert_near(aggregates_output, aggregates_expected, test_utils::precision_threshold<output_type>::percentage));
        }
    }

}