// Copyright (c) 2017-2022 Advanced Micro Devices, Inc. All rights reserved.
//
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// of this software and associated documentation files (the "Software"), to deal
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// The above copyright notice and this permission notice shall be included in
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// THE SOFTWARE.

#ifndef ROCPRIM_DEVICE_DEVICE_REDUCE_BY_KEY_HPP_
#define ROCPRIM_DEVICE_DEVICE_REDUCE_BY_KEY_HPP_

#include "config_types.hpp"
#include "device_reduce_by_key_config.hpp"
#include "device_transform.hpp"

#include "detail/device_reduce_by_key.hpp"
#include "detail/device_scan_common.hpp"
#include "detail/lookback_scan_state.hpp"

#include "../config.hpp"
#include "../detail/match_result_type.hpp"
#include "../detail/temp_storage.hpp"
#include "../detail/various.hpp"
#include "../functional.hpp"
#include "../iterator/constant_iterator.hpp"

#include <chrono>
#include <iostream>
#include <iterator>

BEGIN_ROCPRIM_NAMESPACE

/// \addtogroup devicemodule
/// @{

namespace detail
{

namespace reduce_by_key
{

template<typename LookBackScanState, typename AccumulatorType>
ROCPRIM_KERNEL __launch_bounds__(ROCPRIM_DEFAULT_MAX_BLOCK_SIZE) void init_kernel(
    LookBackScanState              lookback_scan_state,
    const unsigned int             number_of_tiles,
    ordered_block_id<unsigned int> ordered_bid,
    const bool                     is_first_launch,
    const unsigned int             tile_save_idx,
    std::size_t* const             global_head_count,
    AccumulatorType* const         previous_accumulated)
{
    const unsigned int block_id        = ::rocprim::detail::block_id<0>();
    const unsigned int block_size      = ::rocprim::detail::block_size<0>();
    const unsigned int block_thread_id = ::rocprim::detail::block_thread_id<0>();
    const unsigned int flat_thread_id  = (block_id * block_size) + block_thread_id;

    if(is_first_launch)
    {
        if(global_head_count != nullptr && flat_thread_id == 0)
        {
            // If there are subsequent launches, initialize the accumulated head flags
            // over previous launches to zero.
            *global_head_count = 0;
        }
    }
    else
    {
        // Use the reduction of the last launch to update the across-launch variables.
        const auto update_func = [&](typename LookBackScanState::value_type value)
        {
            *global_head_count += ::rocprim::get<0>(value);
            *previous_accumulated = ::rocprim::get<1>(value);
        };
        access_indexed_lookback_value(lookback_scan_state,
                                      number_of_tiles,
                                      tile_save_idx,
                                      flat_thread_id,
                                      update_func);
    }

    init_lookback_scan_state(lookback_scan_state, number_of_tiles, ordered_bid, flat_thread_id);
}

template<typename Config,
         typename AccumulatorType,
         typename KeyIterator,
         typename ValueIterator,
         typename UniqueIterator,
         typename ReductionIterator,
         typename UniqueCountIterator,
         typename CompareFunction,
         typename BinaryOp,
         typename LookbackScanState>
ROCPRIM_KERNEL __launch_bounds__(Config::block_size) void kernel(
    const KeyIterator                    keys_input,
    const ValueIterator                  values_input,
    const UniqueIterator                 unique_keys,
    const ReductionIterator              reductions,
    const UniqueCountIterator            unique_count,
    const BinaryOp                       reduce_op,
    const CompareFunction                compare,
    const LookbackScanState              scan_state,
    const ordered_block_id<unsigned int> ordered_tile_id,
    const std::size_t                    starting_tile,
    const std::size_t                    total_number_of_tiles,
    const std::size_t                    size,
    const std::size_t* const             global_head_count,
    const AccumulatorType* const         previous_accumulated,
    const std::size_t                    number_of_tiles_launch)
{
    reduce_by_key::kernel_impl<Config>(keys_input,
                                       values_input,
                                       unique_keys,
                                       reductions,
                                       unique_count,
                                       reduce_op,
                                       compare,
                                       scan_state,
                                       ordered_tile_id,
                                       starting_tile,
                                       total_number_of_tiles,
                                       size,
                                       global_head_count,
                                       previous_accumulated,
                                       number_of_tiles_launch);
}

#define ROCPRIM_DETAIL_HIP_SYNC_AND_RETURN_ON_ERROR(name, size, start)                           \
    do                                                                                           \
    {                                                                                            \
        auto _error = hipGetLastError();                                                         \
        if(_error != hipSuccess)                                                                 \
            return _error;                                                                       \
        if(debug_synchronous)                                                                    \
        {                                                                                        \
            std::cout << name << "(" << size << ")";                                             \
            auto __error = hipStreamSynchronize(stream);                                         \
            if(__error != hipSuccess)                                                            \
                return __error;                                                                  \
            auto _end = std::chrono::high_resolution_clock::now();                               \
            auto _d   = std::chrono::duration_cast<std::chrono::duration<double>>(_end - start); \
            std::cout << " " << _d.count() * 1000 << " ms" << '\n';                              \
        }                                                                                        \
    }                                                                                            \
    while(false)

template<class Config,
         class KeysInputIterator,
         class ValuesInputIterator,
         class UniqueOutputIterator,
         class AggregatesOutputIterator,
         class UniqueCountOutputIterator,
         class BinaryFunction,
         class KeyCompareFunction>
hipError_t reduce_by_key_impl(void*                     temporary_storage,
                              size_t&                   storage_size,
                              KeysInputIterator         keys_input,
                              ValuesInputIterator       values_input,
                              const size_t              size,
                              UniqueOutputIterator      unique_output,
                              AggregatesOutputIterator  aggregates_output,
                              UniqueCountOutputIterator unique_count_output,
                              BinaryFunction            reduce_op,
                              KeyCompareFunction        key_compare_op,
                              const hipStream_t         stream,
                              const bool                debug_synchronous)
{
    using key_type         = reduce_by_key::value_type_t<KeysInputIterator>;
    using accumulator_type = reduce_by_key::accumulator_type_t<ValuesInputIterator, BinaryFunction>;

    using config = detail::default_or_custom_config<
        Config,
        reduce_by_key::default_config<ROCPRIM_TARGET_ARCH, key_type, accumulator_type>>;

    using scan_state_type
        = reduce_by_key::lookback_scan_state_t<accumulator_type, /*UseSleep=*/false>;
    using scan_state_with_sleep_type
        = reduce_by_key::lookback_scan_state_t<accumulator_type, /*UseSleep=*/true>;

    using ordered_tile_id_type = detail::ordered_block_id<unsigned int>;

    constexpr unsigned int block_size      = config::block_size;
    constexpr unsigned int tiles_per_block = config::tiles_per_block;
    constexpr unsigned int items_per_tile  = block_size * config::items_per_thread;
    constexpr unsigned int items_per_block = items_per_tile * tiles_per_block;

    static constexpr size_t size_limit = config::size_limit;
    static constexpr size_t aligned_size_limit
        = ::rocprim::max<size_t>(size_limit - size_limit % items_per_block, items_per_block);

    const size_t limited_size     = std::min<size_t>(size, aligned_size_limit);
    const bool   use_limited_size = limited_size == aligned_size_limit;

    // Number of tiles in a single launch (or the only launch if it fits)
    const std::size_t number_of_tiles  = detail::ceiling_div(limited_size, items_per_tile);
    const std::size_t number_of_blocks = detail::ceiling_div(number_of_tiles, tiles_per_block);

    // Calculate required temporary storage
    void*                          scan_state_storage;
    ordered_tile_id_type::id_type* ordered_bid_storage;
    // The number of segment heads in previous launches.
    std::size_t* d_global_head_count = nullptr;
    // The running accumulation across the launch boundary.
    accumulator_type* d_previous_accumulated = nullptr;

    const hipError_t partition_result = detail::temp_storage::partition(
        temporary_storage,
        storage_size,
        detail::temp_storage::make_linear_partition(
            // This is valid even with scan_state_with_sleep_type
            detail::temp_storage::make_partition(
                &scan_state_storage,
                scan_state_type::get_temp_storage_layout(number_of_tiles)),
            detail::temp_storage::make_partition(&ordered_bid_storage,
                                                 ordered_tile_id_type::get_temp_storage_layout()),
            detail::temp_storage::ptr_aligned_array(&d_global_head_count, use_limited_size ? 1 : 0),
            detail::temp_storage::ptr_aligned_array(&d_previous_accumulated,
                                                    use_limited_size ? 1 : 0)));
    if(partition_result != hipSuccess || temporary_storage == nullptr)
    {
        return partition_result;
    }

    bool             use_sleep;
    const hipError_t result = detail::is_sleep_scan_state_used(use_sleep);
    if(result != hipSuccess)
    {
        return result;
    }
    auto with_scan_state
        = [use_sleep,
           scan_state = scan_state_type::create(scan_state_storage, number_of_tiles),
           scan_state_with_sleep
           = scan_state_with_sleep_type::create(scan_state_storage, number_of_tiles)](
              auto&& func) mutable -> decltype(auto)
    {
        if(use_sleep)
        {
            return func(scan_state_with_sleep);
        }
        else
        {
            return func(scan_state);
        }
    };

    auto ordered_bid = ordered_tile_id_type::create(ordered_bid_storage);

    if(size == 0)
    {
        // Fill out unique_count_output with zero
        return rocprim::transform(rocprim::constant_iterator<std::size_t>(0),
                                  unique_count_output,
                                  1,
                                  rocprim::identity<std::size_t>{},
                                  stream,
                                  debug_synchronous);
    }

    // Total number of tiles in all launches
    const std::size_t total_number_of_tiles = ceiling_div(size, items_per_tile);
    const std::size_t number_of_launch      = ceiling_div(size, limited_size);

    if(debug_synchronous)
    {
        std::cout << "size:               " << size << '\n';
        std::cout << "aligned_size_limit: " << aligned_size_limit << '\n';
        std::cout << "use_limited_size:   " << std::boolalpha << use_limited_size << '\n';
        std::cout << "number_of_launch:   " << number_of_launch << '\n';
        std::cout << "block_size:         " << block_size << '\n';
        std::cout << "tiles_per_block:    " << tiles_per_block << '\n';
        std::cout << "number_of_tiles:    " << number_of_tiles << '\n';
        std::cout << "number_of_blocks:   " << number_of_blocks << '\n';
        std::cout << "items_per_tile:     " << items_per_tile << '\n';
    }

    for(size_t i = 0, offset = 0; i < number_of_launch; i++, offset += limited_size)
    {
        const std::size_t current_size = std::min<std::size_t>(size - offset, limited_size);
        const std::size_t number_of_tiles_launch = ceiling_div(current_size, items_per_tile);
        const std::size_t number_of_blocks_launch
            = ceiling_div(number_of_tiles_launch, tiles_per_block);
        const std::size_t init_grid_size = detail::ceiling_div(number_of_tiles_launch, block_size);

        // Start point for time measurements
        std::chrono::high_resolution_clock::time_point start;
        if(debug_synchronous)
        {
            std::cout << "index:            " << i << '\n';
            std::cout << "current_size:     " << current_size << '\n';
            std::cout << "number of tiles:  " << number_of_tiles_launch << '\n';
            std::cout << "number of blocks: " << number_of_blocks_launch << '\n';

            start = std::chrono::high_resolution_clock::now();
        }

        with_scan_state(
            [&](const auto scan_state)
            {
                hipLaunchKernelGGL(init_kernel,
                                   dim3(init_grid_size),
                                   dim3(block_size),
                                   0,
                                   stream,
                                   scan_state,
                                   number_of_tiles_launch,
                                   ordered_bid,
                                   i == 0,
                                   number_of_tiles - 1,
                                   d_global_head_count,
                                   d_previous_accumulated);
            });
        ROCPRIM_DETAIL_HIP_SYNC_AND_RETURN_ON_ERROR("init_lookback_scan_state_kernel",
                                                    number_of_tiles_launch,
                                                    start);

        with_scan_state(
            [&](const auto scan_state)
            {
                hipLaunchKernelGGL(reduce_by_key::kernel<config>,
                                   dim3(number_of_blocks_launch),
                                   dim3(block_size),
                                   0,
                                   stream,
                                   keys_input + offset,
                                   values_input + offset,
                                   unique_output,
                                   aggregates_output,
                                   unique_count_output,
                                   reduce_op,
                                   key_compare_op,
                                   scan_state,
                                   ordered_bid,
                                   i * number_of_tiles,
                                   total_number_of_tiles,
                                   size,
                                   i > 0 ? d_global_head_count : nullptr,
                                   i > 0 ? d_previous_accumulated : nullptr,
                                   number_of_tiles_launch);
            });
        ROCPRIM_DETAIL_HIP_SYNC_AND_RETURN_ON_ERROR("reduce_by_key_kernel", current_size, start);
    }

    return hipSuccess;
}

#undef ROCPRIM_DETAIL_HIP_SYNC_AND_RETURN_ON_ERROR

} // namespace reduce_by_key

} // namespace detail

/// \brief Parallel reduce-by-key primitive for device level.
///
/// reduce_by_key function performs a device-wide reduction operation on groups
/// of consecutive values having the same key using binary \p reduce_op operator. The first key of each group
/// is copied to \p unique_output and the reduction of the group is written to \p aggregates_output.
/// The total number of groups is written to \p unique_count_output.
///
/// \par Overview
/// * Supports non-commutative reduction operators. However, a reduction operator should be
/// associative. When used with non-associative functions the results may be non-deterministic
/// and/or vary in precision.
/// * Returns the required size of \p temporary_storage in \p storage_size
/// if \p temporary_storage in a null pointer.
/// * Ranges specified by \p keys_input and \p values_input must have at least \p size elements.
/// * Range specified by \p unique_count_output must have at least 1 element.
/// * Ranges specified by \p unique_output and \p aggregates_output must have at least
/// <tt>*unique_count_output</tt> (i.e. the number of unique keys) elements.
///
/// \tparam Config - [optional] configuration of the primitive. It can be `reduce_by_key_config_v2`
/// or `default_config`
/// \tparam KeysInputIterator - random-access iterator type of the input range. Must meet the
/// requirements of a C++ InputIterator concept. It can be a simple pointer type.
/// \tparam ValuesInputIterator - random-access iterator type of the input range. Must meet the
/// requirements of a C++ InputIterator concept. It can be a simple pointer type.
/// \tparam UniqueOutputIterator - random-access iterator type of the output range. Must meet the
/// requirements of a C++ OutputIterator concept. It can be a simple pointer type.
/// \tparam AggregatesOutputIterator - random-access iterator type of the output range. Must meet the
/// requirements of a C++ OutputIterator concept. It can be a simple pointer type.
/// \tparam UniqueCountOutputIterator - random-access iterator type of the output range. Must meet the
/// requirements of a C++ OutputIterator concept. It can be a simple pointer type.
/// \tparam BinaryFunction - type of binary function used for reduction. Default type
/// is \p rocprim::plus<T>, where \p T is a \p value_type of \p ValuesInputIterator.
/// \tparam KeyCompareFunction - type of binary function used to determine keys equality. Default type
/// is \p rocprim::equal_to<T>, where \p T is a \p value_type of \p KeysInputIterator.
///
/// \param [in] temporary_storage - pointer to a device-accessible temporary storage. When
/// a null pointer is passed, the required allocation size (in bytes) is written to
/// \p storage_size and function returns without performing the reduction operation.
/// \param [in,out] storage_size - reference to a size (in bytes) of \p temporary_storage.
/// \param [in] keys_input - iterator to the first element in the range of keys.
/// \param [in] values_input - iterator to the first element in the range of values to reduce.
/// \param [in] size - number of element in the input range.
/// \param [out] unique_output - iterator to the first element in the output range of unique keys.
/// \param [out] aggregates_output - iterator to the first element in the output range of reductions.
/// \param [out] unique_count_output - iterator to total number of groups.
/// \param [in] reduce_op - binary operation function object that will be used for reduction.
/// The signature of the function should be equivalent to the following:
/// <tt>T f(const T &a, const T &b);</tt>. The signature does not need to have
/// <tt>const &</tt>, but function object must not modify the objects passed to it.
/// Default is BinaryFunction().
/// \param [in] key_compare_op - binary operation function object that will be used to determine key equality.
/// The signature of the function should be equivalent to the following:
/// <tt>bool f(const T &a, const T &b);</tt>. The signature does not need to have
/// <tt>const &</tt>, but function object must not modify the objects passed to it.
/// Default is KeyCompareFunction().
/// \param [in] stream - [optional] HIP stream object. Default is \p 0 (default stream).
/// \param [in] debug_synchronous - [optional] If true, synchronization after every kernel
/// launch is forced in order to check for errors. Default value is \p false.
///
/// \returns \p hipSuccess (\p 0) after successful reduction; otherwise a HIP runtime error of
/// type \p hipError_t.
///
/// \par Example
/// \parblock
/// In this example a device-level sum operation is performed on an array of
/// integer values and integer keys.
///
/// \code{.cpp}
/// #include <rocprim/rocprim.hpp>
///
/// // Prepare input and output (declare pointers, allocate device memory etc.)
/// size_t input_size;          // e.g., 8
/// int * keys_input;           // e.g., [1, 1, 1, 2, 10, 10, 10, 88]
/// int * values_input;         // e.g., [1, 2, 3, 4,  5,  6,  7,  8]
/// int * unique_output;        // empty array of at least 4 elements
/// int * aggregates_output;    // empty array of at least 4 elements
/// int * unique_count_output;  // empty array of 1 element
///
/// size_t temporary_storage_size_bytes;
/// void * temporary_storage_ptr = nullptr;
/// // Get required size of the temporary storage
/// rocprim::reduce_by_key(
///     temporary_storage_ptr, temporary_storage_size_bytes,
///     keys_input, values_input, input_size,
///     unique_output, aggregates_output, unique_count_output
/// );
///
/// // allocate temporary storage
/// hipMalloc(&temporary_storage_ptr, temporary_storage_size_bytes);
///
/// // perform reduction
/// rocprim::reduce_by_key(
///     temporary_storage_ptr, temporary_storage_size_bytes,
///     keys_input, values_input, input_size,
///     unique_output, aggregates_output, unique_count_output
/// );
/// // unique_output:       [1, 2, 10, 88]
/// // aggregates_output:   [6, 4, 18,  8]
/// // unique_count_output: [4]
/// \endcode
/// \endparblock
template<class Config = default_config,
         class KeysInputIterator,
         class ValuesInputIterator,
         class UniqueOutputIterator,
         class AggregatesOutputIterator,
         class UniqueCountOutputIterator,
         class BinaryFunction
         = ::rocprim::plus<typename std::iterator_traits<ValuesInputIterator>::value_type>,
         class KeyCompareFunction
         = ::rocprim::equal_to<typename std::iterator_traits<KeysInputIterator>::value_type>>
inline hipError_t reduce_by_key(void*                     temporary_storage,
                                size_t&                   storage_size,
                                KeysInputIterator         keys_input,
                                ValuesInputIterator       values_input,
                                const size_t              size,
                                UniqueOutputIterator      unique_output,
                                AggregatesOutputIterator  aggregates_output,
                                UniqueCountOutputIterator unique_count_output,
                                BinaryFunction            reduce_op         = BinaryFunction(),
                                KeyCompareFunction        key_compare_op    = KeyCompareFunction(),
                                hipStream_t               stream            = 0,
                                bool                      debug_synchronous = false)
{
    return detail::reduce_by_key::reduce_by_key_impl<Config>(temporary_storage,
                                                             storage_size,
                                                             keys_input,
                                                             values_input,
                                                             size,
                                                             unique_output,
                                                             aggregates_output,
                                                             unique_count_output,
                                                             reduce_op,
                                                             key_compare_op,
                                                             stream,
                                                             debug_synchronous);
}

/// @}
// end of group devicemodule

END_ROCPRIM_NAMESPACE

#endif // ROCPRIM_DEVICE_DEVICE_REDUCE_BY_KEY_HPP_
