/*
// Copyright (c) 2018-2020 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 "scale_grad_weights_kernel_base.h"
#include "kernel_selector_utils.h"

namespace kernel_selector {
JitConstants ScaleGradWeightsKernelBase::GetJitConstants(const scale_grad_weights_params& params) const {
    JitConstants jit = training_kernel_base::GetJitConstants(params);

    return jit;
}

ScaleGradWeightsKernelBase::DispatchData ScaleGradWeightsKernelBase::SetDefault(
    const scale_grad_weights_params& params) const {
    DispatchData kd;

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

    kd.gws0 = params.inputs[0].Batch().v;
    kd.gws1 = params.inputs[0].Feature().v;
    kd.gws2 = 1;

    kd.lws0 = params.inputs[0].Batch().v;
    kd.lws1 = 1;
    kd.lws2 = 1;
    kd.efficiency = DONT_USE_IF_HAVE_SOMETHING_ELSE;
    return kd;
}

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

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

    DispatchData runInfo = SetDefault(orgParams);
    KernelData kd = KernelData::Default<scale_grad_weights_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,
                     DEFAULT,
                     true,
                     !orgParams.bias.empty(),
                     2);

    if (orgParams.use_momentum) {
        kernel.arguments.push_back({ArgumentDescriptor::Types::PREV_WEIGHTS_GRADIENT, 0});
        if (!orgParams.bias.empty())
            kernel.arguments.push_back({ArgumentDescriptor::Types::PREV_BIAS_GRADIENT, 0});
    }
    kernel.arguments.push_back({ArgumentDescriptor::Types::LEARNING_RATE, 0});

    kd.estimatedTime = runInfo.efficiency;

    return {kd};
}
}  // namespace kernel_selector