/*
// Copyright (c) 2016 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 "lrn_kernel_across_channel_multiple_features.h"

namespace kernel_selector
{
    ParamsKey LRNKernelAcrossChannelMultipleFeatures::GetSupportedKey() const
    {
        ParamsKey k;
        k.EnableInputDataType(Datatype::F16);
        k.EnableInputDataType(Datatype::F32);
        k.EnableOutputDataType(Datatype::F16);
        k.EnableOutputDataType(Datatype::F32);
        k.EnableInputLayout(DataLayout::bfyx);
        k.EnableInputLayout(DataLayout::yxfb);
        k.EnableOutputLayout(DataLayout::bfyx);
        k.EnableOutputLayout(DataLayout::yxfb);
        k.EnableTensorOffset();
        k.EnableTensorPitches();
        k.EnableBatching();
        k.EnableLRNMode(LRNMode::ACROSS_CHANNEL);
        k.EnableLRNKernelDividerMode(KernelDividerMode::FIXED);
        return k;
    }

    static unsigned int GetOfmPerSimd(const lrn_params& params)
    {
        const auto &output = params.output;
        const auto local_size = params.localSize;

        if ((output.Feature().v % 8 == 0) && local_size > 4)
        {
            return 8;
        }
        else if ((output.Feature().v % 4 == 0) && local_size > 2)
        {
            return 4;
        }
        else if ((output.Feature().v % 2 == 0) && local_size > 1)
        {
            return 2;
        }

        return 1;
    }

    CommonDispatchData LRNKernelAcrossChannelMultipleFeatures::SetDefault(const lrn_params& params) const
    {
        CommonDispatchData runInfo = LRNKernelBase::SetDefault(params);
        const auto &input = params.inputs[0];

        unsigned int ofm_per_simd = GetOfmPerSimd(params);

        if (input.GetLayout() == DataLayout::bfyx)
        {
            const auto& out = params.output;
            const unsigned int alignment = out.X().v > 16 ? 32 : 16;

            runInfo.gws0 = Align(out.X().v, alignment);
            runInfo.gws1 = out.Y().v;
            runInfo.gws2 = (out.Feature().v * out.Batch().v) / ofm_per_simd;

            runInfo.lws0 = alignment;
            runInfo.lws1 = 1;
            runInfo.lws2 = 1;
        }
        else if (input.GetLayout() == DataLayout::yxfb)
        {
            runInfo.gws0 /= ofm_per_simd;
            runInfo.lws0 = std::min(std::max(runInfo.gws0, static_cast<size_t>(1)), static_cast<size_t>(32));
            while (runInfo.gws0 % runInfo.lws0 != 0)
            {
                --runInfo.lws0;
            }
        }

        runInfo.effiency = FORCE_PRIORITY_6;

        return runInfo;
    }

    bool LRNKernelAcrossChannelMultipleFeatures::Validate(const Params& p, const optional_params& o) const
    {
        if (!LRNKernelBase::Validate(p, o))
        {
            return false;
        }

        const lrn_params& params = static_cast<const lrn_params&>(p);
        if (params.localSize > 32)
        {
            return false;
        }

        return true;
    }

    JitConstants LRNKernelAcrossChannelMultipleFeatures::GetJitConstants(const lrn_params& params, DispatchData kd) const
    {
        auto cldnnJit = LRNKernelBase::GetJitConstants(params, kd);
        const auto& input = params.inputs[0];
        const auto& output = params.output;

        unsigned int ofm_per_simd = GetOfmPerSimd(params);

        cldnnJit.AddConstant(MakeJitConstant("OFM_PER_SIMD", ofm_per_simd));
        if (input.GetLayout() == DataLayout::bfyx &&
            output.X().v <= 16)
        {
            cldnnJit.AddConstant(MakeJitConstant("FORCE_SIMD_16", 1));
        }
        return cldnnJit;
    }

    KernelsData LRNKernelAcrossChannelMultipleFeatures::GetKernelsData(const Params& params, const optional_params& options) const
    {
        return GetCommonKernelsData(params, options, FORCE_PRIORITY_6);
    }
}