/*
// Copyright (c) 2019 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.
*/

#include "fully_connected_kernel_imad.h"

// IMAD Fully_Connected primitive implementation.
// Limitations are:
// 1. Input=Fx1x1 with Filter=1x1
// 2. No data padding

namespace kernel_selector
{
    ParamsKey FullyConnectedKernelIMAD::GetSupportedKey() const
    {
        ParamsKey k;
        k.EnableInputDataType(Datatype::INT8);
        k.EnableInputDataType(Datatype::UINT8);
        k.EnableOutputDataType(Datatype::INT8);
        k.EnableOutputDataType(Datatype::UINT8);
        k.EnableInputWeightsType(WeightsType::INT8);
        k.EnableInputLayout(DataLayout::b_fs_yx_fsv4);
        k.EnableOutputLayout(DataLayout::bf);
        k.EnableBiasPerOutput();
        k.EnableBiasPerFeature();
        k.EnableNonBiasTerm();
        k.EnableTensorOffset();
        k.EnableTensorPitches();
        k.EnableBatching();
        k.EnableInt8Quantization();
        k.EnableOutputCalibration();
        return k;
    }

    FullyConnectedKernelIMAD::Parent::DispatchData
    FullyConnectedKernelIMAD::SetDefault(const fully_connected_params& params, int) const
    {
        const int simdSize = 16;

        auto runInfo = Parent::SetDefault(params);

        runInfo.gws0 = RoundUp(params.output.Feature().v, simdSize);
        runInfo.gws1 = params.output.Batch().v;
        runInfo.gws2 = 1;

        runInfo.lws0 = simdSize;
        runInfo.lws1 = 1;
        runInfo.lws2 = 1;

        return runInfo;
    } // SetDefault

    bool FullyConnectedKernelIMAD::Validate(const Params& params, const optional_params& options) const
    {
        if (!Parent::Validate(params, options)) {
            return false;
        }

        const auto& newParams = static_cast<const fully_connected_params&>(params);
        const auto& in = newParams.inputs[0];
        const auto& weights = newParams.weights;

        if ((in.X().v != 1) ||
            (in.Y().v != 1) ||
            (weights.X().v != 1) ||
            (weights.Y().v != 1)) {
            // Currently only Input=Fx1x1 with Filter=1x1 is supported
            return false;
        }
        if ((in.X().pad.before != 0) ||
            (in.X().pad.after != 0) ||
            (in.Y().pad.before != 0) ||
            (in.Y().pad.after != 0)) {
            // Padding is not supported
            return false;
        }
        if (in.Feature().v % (4 * 8)) {
            // Algorith requires 4 bytes read as one int
            // with specific weight format os_is_yx_osv16_isv4
            // wich will read 8 elements per reading
            return false;
        }

        return true;
    } // Validate

    KernelsData FullyConnectedKernelIMAD::GetKernelsData(const Params& params, const optional_params& options) const
    {

        KernelsData res = {};
        for (size_t i = 0; i < autoTuneOptions.size(); i++)
        {
            KernelsData kd = GetTunedKernelsDataByIndex(
                                params, options, DataLayout::b_fs_yx_fsv4,
                                { WeightsLayout::os_is_yx_osv16_isv4 },
                                FORCE_PRIORITY_1, (int)i);
            if (!kd.empty())
            {
                res.emplace_back(kd[0]);
            }
        }
        return res;
    }
}
