// 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 "normalize_kernel_base.h"
#include "kernel_selector_utils.h"
#include <vector>

namespace kernel_selector {
JitConstants NormalizeKernelBase::GetJitConstants(const normalize_params& np) const {
    JitConstants jit = MakeBaseParamsJitConstants(np);

    jit.AddConstants({
        MakeJitConstant("SCALE_TABLE", np.scaleTable),
        MakeJitConstant("EPSILON", np.epsilon),
        MakeJitConstant(toString(np.normMode), ""),
        MakeJitConstant("THRESHOLD", 0.0001f),
    });

    return jit;
}

NormalizeKernelBase::DispatchData NormalizeKernelBase::SetDefault(const normalize_params& params) const {
    const auto& output = params.output;

    DispatchData kd;

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

    std::vector<size_t> global(3);

    if (params.normMode == NormalizeMode::WITHIN_SPATIAL) {
        global = {output.X().v, output.Y().v, output.Batch().v};
    } else {
        global = {output.Batch().v, 1, 1};
    }

    auto local = GetOptimalLocalWorkGroupSizes(global, params.engineInfo);

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

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

    return kd;
}

KernelsData NormalizeKernelBase::GetCommonKernelsData(const Params& params,
                                                      const optional_params& options,
                                                      float estimated_time) const {
    assert(params.GetType() == KernelType::NORMALIZE);

    const normalize_params& orgParams = static_cast<const normalize_params&>(params);

    DispatchData runInfo;

    runInfo = SetDefault(orgParams);

    KernelData kd = KernelData::Default<normalize_params>(params);

    auto cldnn_jit = GetJitConstants(orgParams);
    auto entry_point = GetEntryPoint(kernelName, orgParams.layerID, options);
    auto jit = CreateJit(kernelName, cldnn_jit, entry_point);

    auto& kernel = kd.kernels[0];
    FillCLKernelData(kernel, runInfo, params.engineInfo, kernelName, jit, entry_point);
    kernel.arguments.push_back({ArgumentDescriptor::Types::SCALE_TABLE, 0});

    kd.estimatedTime = estimated_time;

    return {kd};
}
}  // namespace kernel_selector
