/*
// Copyright (c) 2018 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 "tile_kernel_ref.h"
#include "kernel_selector_utils.h" 
 
namespace kernel_selector 
{
    static int32_t GetTileChannelIndex(const tile_params& params)
    {
        Tensor::DataChannelName name = Tensor::DataChannelName::X;
        switch (params.axis)
        {
            case TileAxis::X:         name = Tensor::DataChannelName::X; break;
            case TileAxis::Y:         name = Tensor::DataChannelName::Y; break;
            case TileAxis::FEATURE:   name = Tensor::DataChannelName::FEATURE; break;
            case TileAxis::BATCH:     name = Tensor::DataChannelName::BATCH; break;
            default: break;
        }

        return DataTensor::Channelndex(params.output.GetLayout(), name);
    }

    ParamsKey TileKernelRef::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.EnableOutputLayout(DataLayout::bfyx);
        k.EnableTensorOffset();
        k.EnableTensorPitches();
        k.EnableBatching();
        return k;
    }

    CommonDispatchData TileKernelRef::SetDefault(const tile_params& params, const optional_params&) const
    {
        CommonDispatchData runInfo;

        auto in = params.inputs[0];

        size_t inner_size = 1;
        size_t outer_size = 1;

        const int32_t axis = GetTileChannelIndex(params);

        for (int32_t i = 0; i <= axis; i++)
        {
            inner_size *= in.GetDims()[i].v;
        }

        for (int32_t i = axis+1; i < static_cast<int32_t>(in.GetDims().size()); i++)
        {
            outer_size *= in.GetDims()[i].v;
        }

        if (inner_size > 1)
        {
            runInfo.gws0 = outer_size;
            runInfo.gws1 = inner_size;
            runInfo.gws2 = 1;

            runInfo.lws0 = 1;
            runInfo.lws1 = 1;
            runInfo.lws2 = 1;
        }
        else
        {
            runInfo.gws0 = Align(outer_size, 16);
            runInfo.gws1 = 1;
            runInfo.gws2 = 1;

            runInfo.lws0 = 16;
            runInfo.lws1 = 1;
            runInfo.lws2 = 1;
        }

        runInfo.fp16UnitUsed = params.inputs[0].GetDType() == Datatype::F16;

        return runInfo;
    }

    JitConstants TileKernelRef::GetJitConstants(const tile_params& params) const
    {
        JitConstants jit = MakeBaseParamsJitConstants(params);

        auto in = params.inputs[0];
        auto out = params.output;

        size_t inner_size = 1;
        size_t outer_size = 1;
        size_t axis_pitch = 1;

        const int32_t axis = GetTileChannelIndex(params);

        for (int32_t i = 0; i <= axis; i++)
        {
            inner_size *= in.GetDims()[i].v;
            axis_pitch *= in.GetDims()[i].LogicalDimPadded();
        }
        for (int32_t i = axis+1; i < static_cast<int32_t>(in.GetDims().size()); i++)
        {
            outer_size *= in.GetDims()[i].v;
        }

        jit.AddConstant(MakeJitConstant("TILES", params.tiles));
        jit.AddConstant(MakeJitConstant("AXIS_PITCH", axis_pitch));
        jit.AddConstant(MakeJitConstant("OUTER_SIZE", outer_size));
        if (inner_size == 1)
        {
            jit.AddConstant(MakeJitConstant("OUTPUT_ELEMENTS", out.LogicalSize()));
            jit.AddConstant(MakeJitConstant("DENSE", 1));
        }
        return jit;
    }

    KernelsData TileKernelRef::GetKernelsData(const Params& params, const optional_params& options) const
    {
        assert(params.GetType() == KernelType::TILE);

        KernelData kd = KernelData::Default<tile_params>(params);
        tile_params& newParams = *static_cast<tile_params*>(kd.params.get());

        auto runInfo = SetDefault(newParams, options);
        auto entry_point = GetEntryPoint(kernelName, newParams.layerID, options);
        auto cldnn_jit = GetJitConstants(newParams);
        std::string jit = CreateJit(kernelName, cldnn_jit, entry_point);

        auto& kernel = kd.kernels[0];

        FillCLKernelData(kernel, runInfo, params.engineInfo, kernelName, jit, entry_point);

        kd.estimatedTime = DONT_USE_IF_HAVE_SOMETHING_ELSE;

        return{ kd };
    }
}
