/*******************************************************************************
* Copyright 2019-2024 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 SUM_HPP
#define SUM_HPP

#include <iostream>

#include "oneapi/dnnl/dnnl.h"

#include "common.hpp"
#include "dnn_types.hpp"
#include "dnnl_common.hpp"
#include "utils/perf_report.hpp"
#include "utils/settings.hpp"

namespace sum {

struct settings_t : public base_settings_t {
    settings_t() = default;

    // ctor to save certain fields from resetting
    settings_t(const char *perf_template) : settings_t() {
        this->perf_template = perf_template;
    }

    prb_dims_t prb_dims;

    std::vector<std::vector<dnnl_data_type_t>> sdt {{dnnl_f32, dnnl_f32}};
    std::vector<dnnl_data_type_t> ddt {dnnl_f32};
    std::vector<std::vector<std::string>> stag {{tag::abx}};
    std::vector<std::string> dtag {tag::undef};
    std::vector<std::vector<float>> input_scales {{1}};

    const char *perf_template_csv() const {
        static const std::string args = "%sdt%,%ddt%,%stag%,%dtag%";
        return perf_template_csv_base(args);
    }

    void reset() { *this = settings_t(perf_template); }

    bool has_single_setup() const override {
        return sdt.size() == 1 && ddt.size() == 1 && stag.size() == 1
                && dtag.size() == 1 && input_scales.size() == 1
                && base_settings_t::has_single_setup();
    }
};

struct prb_t : public prb_dims_t {
    // A ctor with common interface across all drivers.
    prb_t(const settings_t &s)
        : prb_t(s.prb_dims, s.sdt[0], s.ddt[0], s.stag[0], s.dtag[0],
                s.input_scales[0], s.inplace[0], s.attributes.front(),
                s.ctx_init[0], s.ctx_exe[0], s.impl_filter) {
        SAFE_V(s.has_single_setup() ? OK : FAIL);
    }

    prb_t(const prb_dims_t &prb_dims, const std::vector<dnnl_data_type_t> &sdt,
            dnnl_data_type_t ddt, const std::vector<std::string> &stag,
            const std::string &dtag, const std::vector<float> &input_scales,
            bool inplace, const attr_t &attr, const thr_ctx_t &ctx_init,
            const thr_ctx_t &ctx_exe, const impl_filter_t &impl_filter)
        : prb_dims_t(prb_dims)
        , sdt(sdt)
        , ddt(ddt)
        , stag(stag)
        , dtag(dtag)
        , input_scales(input_scales)
        , inplace(inplace)
        , attr(attr)
        , ctx_init(ctx_init)
        , ctx_exe(ctx_exe)
        , impl_filter(impl_filter) {
        // Broadcast tag if needed
        if (stag.size() == 1) {
            const auto val = stag[0]; // Need a copy here.
            this->stag.assign(n_inputs(), val);
        }

        // Broadcast input_scale if needed
        if (input_scales.size() == 1) {
            const auto val = input_scales[0]; // Need a copy here.
            this->input_scales.assign(n_inputs(), val);
        }

        repro = set_repro_line(); // must be last in ctor to collect right info
    }

    dir_t dir = FLAG_FWD; // Lack of prop_kind, always considered as forward.
    std::vector<dnnl_data_type_t> sdt;
    dnnl_data_type_t ddt;
    std::vector<std::string> stag;
    std::string dtag;
    std::vector<float> input_scales;
    bool inplace;
    attr_t attr;
    thr_ctx_t ctx_init, ctx_exe;
    impl_filter_t impl_filter;

    int n_inputs() const { return (int)sdt.size(); }

    // Used to construct memory desc when dimensions are runtime since such mds
    // can't be used directly from query and memory objects can't be constructed.
    benchdnn_dnnl_wrapper_t<dnnl_memory_desc_t> get_md(int arg) const {
        assert(!"No runtime dimensions support for this driver!");
        return make_benchdnn_dnnl_wrapper<dnnl_memory_desc_t>(nullptr);
    }

    const char *str() const { return repro.c_str(); }

private:
    std::string repro;

    std::string set_repro_line();
};

struct perf_report_t : public base_perf_report_t {
    perf_report_t(const prb_t *prb, const char *perf_template)
        : base_perf_report_t(perf_template)
        , p_(prb)
        , stag_({})
        , dtag_(normalize_tag(p_->dtag, p_->ndims)) {
        for (size_t d = 0; d < p_->stag.size(); d++)
            stag_.push_back(normalize_tag(p_->stag[d], p_->ndims));
    }

    void dump_desc(std::ostream &s) const override {
        s << static_cast<const prb_dims_t &>(*p_);
    }

    void dump_desc_csv(std::ostream &s) const override { dump_desc(s); }

    const attr_t *attr() const override { return &p_->attr; }
    const thr_ctx_t *ctx_init() const override { return &p_->ctx_init; }
    const thr_ctx_t *ctx_exe() const override { return &p_->ctx_exe; }
    const std::string *name() const override { return &p_->name; }
    const std::vector<dnnl_data_type_t> *sdt() const override {
        return &p_->sdt;
    }
    const dnnl_data_type_t *ddt() const override { return &p_->ddt; }
    const std::vector<std::string> *stag() const override { return &stag_; }
    const std::string *dtag() const override { return &dtag_; }

private:
    const prb_t *p_;
    std::vector<std::string> stag_;
    std::string dtag_;
};

dnnl_status_t init_pd(init_pd_args_t<prb_t> &init_pd_args);
void setup_cmp(compare::compare_t &cmp, const prb_t *prb, data_kind_t kind,
        const args_t &ref_args);
std::vector<int> supported_exec_args(dir_t dir);
int init_ref_memory_args(dnn_mem_map_t &ref_mem_map, dnn_mem_map_t &mem_map,
        dnnl_primitive_t prim, const prb_t *prb, res_t *res,
        dnnl_primitive_t prim_ref = nullptr);

void skip_unimplemented_prb(const prb_t *prb, res_t *res);
void skip_invalid_prb(const prb_t *prb, res_t *res);
void compute_ref(const prb_t *prb, const args_t &args,
        dnnl_primitive_t prim_ref = nullptr);

int createit(std::vector<benchdnn_dnnl_wrapper_t<dnnl_primitive_t>> &v_prim,
        const prb_t *prb, res_t *res);
int check_cacheit(
        std::vector<benchdnn_dnnl_wrapper_t<dnnl_primitive_t>> &v_prim,
        const prb_t *prb, res_t *res);
int doit(const std::vector<benchdnn_dnnl_wrapper_t<dnnl_primitive_t>> &v_prim,
        const prb_t *prb, res_t *res);
int bench(int argc, char **argv);

} // namespace sum

#endif