/*
// 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 "shuffle_channels_kernel_ref.h"
#include "kernel_selector_utils.h"

namespace kernel_selector
{
    ParamsKey ShuffleChannelsKernelRef::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 ShuffleChannelsKernelRef::SetDefault(const shuffle_channels_params& params, const optional_params&) const
    {
        CommonDispatchData runInfo;

        std::vector<size_t> global = { params.output.Batch().v, params.output.Feature().v, params.output.Y().v * params.output.X().v };

        auto local = GetOptimalLocalWorkGroupSizes(global);

        runInfo.gws0 = global[0];
        runInfo.gws1 = global[1];
        runInfo.gws2 = global[2];

        runInfo.lws0 = local[0];
        runInfo.lws1 = local[1];
        runInfo.lws2 = local[2];

        return runInfo;
    }

    JitConstants ShuffleChannelsKernelRef::GetJitConstants(const shuffle_channels_params& params) const
    {
        JitConstants jit = MakeBaseParamsJitConstants(params);

        jit.AddConstant(MakeJitConstant("GROUPS_NUMBER", params.group));

        auto getDimSizeByAxis = [](const shuffle_channels_params& params) -> size_t {
            switch (params.axis) {
                case 0:
                    return params.inputs[0].Batch().v;
                case 1:
                    return params.inputs[0].Feature().v;
                case 2:
                    return params.inputs[0].Y().v;
                case 3:
                    return params.inputs[0].X().v;
            }
            return 0;
        };

        jit.AddConstant(MakeJitConstant("GROUP_SIZE", getDimSizeByAxis(params) / params.group));
        jit.AddConstant(MakeJitConstant("AXIS", params.axis));

        return jit;
    }

    KernelsData ShuffleChannelsKernelRef::GetKernelsData(const Params& params, const optional_params& options) const
    {
        KernelData kd = KernelData::Default<shuffle_channels_params>(params);
        shuffle_channels_params& newParams = *static_cast<shuffle_channels_params*>(kd.params.get());

        assert(params.GetType() == KernelType::SHUFFLE_CHANNELS);

        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 };
    }
}
