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

namespace kernel_selector 
{
    JitConstants SoftmaxLossGradKernelBase::GetJitConstants(const softmax_loss_grad_params& params) const
    {
        return MakeBaseParamsJitConstants(params);
    }

    CommonDispatchData SoftmaxLossGradKernelBase::SetDefault(const softmax_loss_grad_params& params, const optional_params&) const
    {
        CommonDispatchData runInfo;

        std::vector<size_t> global = { params.output.Batch().v * params.output.X().v, 1, 1 };

        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];

        runInfo.effiency = DONT_USE_IF_HAVE_SOMETHING_ELSE;

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

        return runInfo;
    }

    bool SoftmaxLossGradKernelBase::Validate(const Params& p, const optional_params& o) const
    {
        if (p.GetType() != KernelType::SOFT_MAX_LOSS_GRAD ||
            o.GetType() != KernelType::SOFT_MAX_LOSS_GRAD)
        {
            return false;
        }

        return true;
    }

    KernelsData SoftmaxLossGradKernelBase::GetCommonKernelsData(const Params& params, const optional_params& options) const
    {
        if (!Validate(params, options))
        {
            return{};
        }

        const softmax_loss_grad_params& orgParams = static_cast<const softmax_loss_grad_params&>(params);
        KernelData kd = KernelData::Default<softmax_loss_grad_params>(params);

        auto runInfo = SetDefault(orgParams, options);
        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::INPUT, 1 });

        kd.estimatedTime = runInfo.effiency;

        return{ kd };
    }
}