/*******************************************************************************
* Copyright 2020-2025 Intel Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*******************************************************************************/

#ifndef TEST_THREAD_HPP
#define TEST_THREAD_HPP

#include <iostream>

#include "oneapi/dnnl/dnnl_config.h"

#ifdef COMMON_DNNL_THREAD_HPP
#error "src/common/dnnl_thread.hpp" was already included
#endif

#if DNNL_CPU_RUNTIME == DNNL_RUNTIME_NONE

#if DNNL_CPU_THREADING_RUNTIME != DNNL_RUNTIME_SEQ
#error "DNNL_CPU_THREADING_RUNTIME is expected to be SEQ for GPU only configurations."
#endif

#undef DNNL_CPU_THREADING_RUNTIME

// Enable CPU threading layer for testing:
// - DPCPP: TBB
// - OCL: OpenMP
#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_SYCL
#define DNNL_CPU_THREADING_RUNTIME DNNL_RUNTIME_TBB
#elif DNNL_GPU_RUNTIME == DNNL_RUNTIME_OCL
#define DNNL_CPU_THREADING_RUNTIME DNNL_RUNTIME_OMP
#endif

#endif

// Here we define some types in global namespace to handle customized
// threading context for creation and execution
struct thr_ctx_t {
    int max_concurrency;
    int core_type;
    int nthr_per_core;

    bool operator==(const thr_ctx_t &rhs) const {
        return max_concurrency == rhs.max_concurrency
                && core_type == rhs.core_type
                && nthr_per_core == rhs.nthr_per_core;
    }
    bool operator!=(const thr_ctx_t &rhs) const { return !(*this == rhs); }
    void *get_interop_obj() const;
};

// This hack renames the namespaces used by threading functions for
// threadpool-related functions so that the calls to dnnl::impl::parallel*()
// from the test use a special testing threadpool.
//
// At the same time, the calls to dnnl::impl::parallel*() from within the
// library continue using the library version of these functions.
#define threadpool_utils testing_threadpool_utils
#include "src/common/dnnl_thread.hpp"
#undef threadpool_utils

#if DNNL_CPU_RUNTIME == DNNL_RUNTIME_NONE
// Restore the original DNNL_CPU_THREADING_RUNTIME value.
#undef DNNL_CPU_THREADING_RUNTIME
#define DNNL_CPU_THREADING_RUNTIME DNNL_RUNTIME_SEQ
#endif

#ifndef COMMON_DNNL_THREAD_HPP
#error "src/common/dnnl_thread.hpp" has an unexpected header guard
#endif

#ifdef TBB_INTERFACE_VERSION
// tbb constraints on core type appear in 2021.2
// tbb constraints on max_concurrency appear in 2020
// we check only for 2021.2 to enable thread context knobs
#define DNNL_TBB_CONSTRAINTS_ENABLED (TBB_INTERFACE_VERSION >= 12020)
// API to do explicit finalization was introduced in 2021.6.
#define DNNL_TBB_NEED_EXPLICIT_FINALIZE (TBB_INTERFACE_VERSION >= 12060)
#else
#define DNNL_TBB_CONSTRAINTS_ENABLED 0
#define DNNL_TBB_NEED_EXPLICIT_FINALIZE 0
#endif

#define DNNL_TBB_THREADING_WITH_CONSTRAINTS \
    (DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_TBB) \
            && DNNL_TBB_CONSTRAINTS_ENABLED
#define DNNL_TBB_THREADING_WITHOUT_CONSTRAINTS \
    (DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_TBB) \
            && !DNNL_TBB_CONSTRAINTS_ENABLED

#if DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_SEQ \
        || DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_THREADPOOL \
        || DNNL_TBB_THREADING_WITHOUT_CONSTRAINTS
const thr_ctx_t default_thr_ctx = {0, -1, 0};
#elif DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_OMP
#include "omp.h"
const thr_ctx_t default_thr_ctx = {omp_get_max_threads(), -1, 0};
#elif DNNL_TBB_THREADING_WITH_CONSTRAINTS
#include "oneapi/tbb/task_arena.h"
const thr_ctx_t default_thr_ctx = {tbb::task_arena::automatic,
        tbb::task_arena::automatic, tbb::task_arena::automatic};
#endif

std::ostream &operator<<(std::ostream &os, const thr_ctx_t &ctx);

#define THR_CTX_ASSERT(check, msg_fmt, ...) \
    do { \
        if (!(check)) { \
            fprintf(stderr, msg_fmt, __VA_ARGS__); \
            exit(1); \
        } \
    } while (0)

#if DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_THREADPOOL
#include "oneapi/dnnl/dnnl_threadpool_iface.hpp"
namespace dnnl {

// Original threadpool utils are used by the scoped_tp_activation_t and thus
// need to be re-declared because of the hack above.
namespace impl {
namespace threadpool_utils {
void activate_threadpool(dnnl::threadpool_interop::threadpool_iface *tp);
void deactivate_threadpool();
dnnl::threadpool_interop::threadpool_iface *get_active_threadpool();
int get_max_concurrency();
} // namespace threadpool_utils
} // namespace impl

namespace testing {

dnnl::threadpool_interop::threadpool_iface *get_threadpool(
        const thr_ctx_t &ctx = default_thr_ctx);

// Sets the testing threadpool as active for the lifetime of the object.
// Required for the tests that throw to work.
struct scoped_tp_activation_t {
    scoped_tp_activation_t(dnnl::threadpool_interop::threadpool_iface *tp_
            = get_threadpool()) {
        impl::threadpool_utils::activate_threadpool(tp_);
    }
    ~scoped_tp_activation_t() {
        impl::threadpool_utils::deactivate_threadpool();
    }
};

struct scoped_tp_deactivation_t {
    scoped_tp_deactivation_t() {
        impl::threadpool_utils::deactivate_threadpool();
    }
    ~scoped_tp_deactivation_t() {
        // we always use the same threadpool that is returned by `get_threadpool()`
        impl::threadpool_utils::activate_threadpool(get_threadpool());
    }
};

} // namespace testing
} // namespace dnnl
#endif

// These are free functions to allow running a function in a given threading
// context.
// A threading context is defined by:
// - number of threads
// - type of cores (TBB only)
// - threads per core (TBB only)

// Note: we have to differentiate creation and execution in thread
// context because of threadpool as it uses different mecanisms in
// both (in execution, tp is passed in stream)

#if DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_SEQ \
        || DNNL_TBB_THREADING_WITHOUT_CONSTRAINTS

#define RUN_IN_THR_CTX(name) \
    template <typename F, typename... Args_t> \
    auto name(const thr_ctx_t &ctx, F &&f, Args_t &...args) \
            ->decltype(f(args...)) { \
\
        THR_CTX_ASSERT(ctx.core_type == default_thr_ctx.core_type \
                        && ctx.max_concurrency \
                                == default_thr_ctx.max_concurrency \
                        && ctx.nthr_per_core == default_thr_ctx.nthr_per_core, \
                "Threading knobs not supported for this runtime: %s\n", \
                DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_SEQ \
                        ? "sequential runtime has no threading" \
                        : "TBB version is too old (>=2021.2 required)"); \
\
        return f(args...); \
    }

RUN_IN_THR_CTX(create_in_thr_ctx)
RUN_IN_THR_CTX(execute_in_thr_ctx)
#undef RUN_IN_THR_CTX

#elif DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_OMP
#define RUN_IN_THR_CTX(name) \
    template <typename F, typename... Args_t> \
    auto name(const thr_ctx_t &ctx, F &&f, Args_t &...args) \
            ->decltype(f(args...)) { \
\
        THR_CTX_ASSERT(ctx.core_type == default_thr_ctx.core_type, \
                "core type %d is not supported for OMP runtime\n", \
                ctx.core_type); \
\
        auto max_nthr = omp_get_max_threads(); \
        omp_set_num_threads(ctx.max_concurrency); \
        auto st = f(args...); \
        omp_set_num_threads(max_nthr); \
        return st; \
    }

RUN_IN_THR_CTX(create_in_thr_ctx)
RUN_IN_THR_CTX(execute_in_thr_ctx)
#undef RUN_IN_THR_CTX

#elif DNNL_TBB_THREADING_WITH_CONSTRAINTS

// XXX: Some compilers cannot expand a parameter pack when it is
// used inside a lambda function. E.g. `[&]{ return f(args...); }`
// will cause the aforementioned issue. The workaround is to convert
// the parameter pack into a tuple, then convert it to a parameter pack again
// and then expand it in the regular way. This way the compiler can digest
// the code.
// The return type is not deduced due to the same issue. The solution for
// that is to assume that the return type is always integer and convert the
// return value to `dnnl_status_t` if necessary.
template <typename T>
constexpr size_t get_number_args() {
    return std::tuple_size<typename std::remove_reference<T>::type> {};
}

template <size_t i, typename R>
struct params_pack_helper_t {
    template <typename F, typename T, typename... Args_t>
    static R expand_and_call(F &&f, T &packed_args, Args_t &...unpacked_args) {
        constexpr size_t cnt = (i == SIZE_MAX)
                ? get_number_args<decltype(packed_args)>()
                : i;
        constexpr size_t idx = get_number_args<decltype(packed_args)>() - cnt;
        return (R)params_pack_helper_t<cnt - 1, R>::expand_and_call(
                f, packed_args, unpacked_args..., std::get<idx>(packed_args));
    }
};

template <typename R>
struct params_pack_helper_t<0, R> {
    template <typename F, typename T, typename... Args_t>
    static R expand_and_call(F &&f, T &packed_args, Args_t &...unpacked_args) {
        return (R)f(unpacked_args...);
    }
};

#include "oneapi/tbb/info.h"
#define RUN_IN_THR_CTX(name) \
    template <typename F, typename... Args_t> \
    auto name(const thr_ctx_t &ctx, F &&f, Args_t &...args) \
            ->decltype(f(args...)) { \
        static auto core_types = tbb::info:: \
                core_types(); /* sorted by the relative strength       */ \
\
        if ((ctx.core_type != default_thr_ctx.core_type) \
                && ((size_t)ctx.core_type >= core_types.size())) \
            printf("WARNING: TBB smallest core has index %d. Using this " \
                   "instead of %d.\n", \
                    (int)core_types.size() - 1, ctx.core_type); \
        size_t core_type_id = (size_t)ctx.core_type < core_types.size() \
                ? ctx.core_type \
                : core_types.size() - 1; \
        auto core_type = ctx.core_type == tbb::task_arena::automatic \
                ? tbb::task_arena::automatic \
                : core_types[core_type_id]; \
        auto arena = tbb::task_arena { \
                tbb::task_arena::constraints {} \
                        .set_core_type(core_type) \
                        .set_max_threads_per_core(ctx.nthr_per_core) \
                        .set_max_concurrency(ctx.max_concurrency)}; \
        auto packed_args = std::make_tuple(std::ref(args)...); \
        return (decltype(f(args...)))arena.execute([&] { \
            return params_pack_helper_t<SIZE_MAX, int>::expand_and_call( \
                    f, packed_args); \
        }); \
    }

RUN_IN_THR_CTX(create_in_thr_ctx)
RUN_IN_THR_CTX(execute_in_thr_ctx)
#undef RUN_IN_THR_CTX

#elif DNNL_CPU_THREADING_RUNTIME == DNNL_RUNTIME_THREADPOOL
template <typename F, typename... Args_t>
auto create_in_thr_ctx(const thr_ctx_t &ctx, F &&f, Args_t &...args)
        -> decltype(f(args...)) {
    THR_CTX_ASSERT(ctx.core_type == default_thr_ctx.core_type,
            "core type %d is not supported for TP runtime\n", ctx.core_type);

    auto tp = dnnl::testing::get_threadpool(ctx);
    auto stp = dnnl::testing::scoped_tp_activation_t(tp);
    return f(args...);
}

// The function f shall take an interop obj as last argument
template <typename F, typename... Args_t>
auto execute_in_thr_ctx(const thr_ctx_t &ctx, F &&f, Args_t &...args)
        -> decltype(f(args...)) {
    THR_CTX_ASSERT(ctx.core_type == default_thr_ctx.core_type,
            "core type %d is not supported for TP runtime\n", ctx.core_type);
    return f(args...);
}

#else
#error __FILE__"(" __LINE__ ")" "unsupported threading runtime!"
#endif

// TBB runtime may crash when it is used under CTest. This is a known TBB
// limitation that can be worked around by doing explicit finalization.
// The API to do that was introduced in 2021.6.0. When using an older TBB
// runtime the crash may still happen.
// Appropriate header lives in a `src/common/dnnl_thread_tbb_proxy.hpp`.
#if DNNL_TBB_NEED_EXPLICIT_FINALIZE
inline void finalize_tbb() {
    oneapi::tbb::task_scheduler_handle handle
            = oneapi::tbb::task_scheduler_handle {oneapi::tbb::attach {}};
    oneapi::tbb::finalize(handle, std::nothrow);
}
#else
inline void finalize_tbb() {};
#endif

#undef ALIAS_TO_RUN_IN_THR_CTX
#undef THR_CTX_ASSERT
#undef DNNL_TBB_THREADING_WITHOUT_CONSTRAINTS
#undef DNNL_TBB_THREADING_WITH_CONSTRAINTS
#undef DNNL_TBB_CONSTRAINTS_ENABLED

#endif
