/*
// 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 "pooling_kernel_gpu_byxf_af32.h"
 
namespace kernel_selector 
{
    ParamsKey PoolingKerneGPU_byxf_af32::GetSupportedKey() const
    {
        ParamsKey k;
        k.EnableInputDataType(Datatype::INT8);
        k.EnableOutputDataType(Datatype::INT8);
        k.EnableInputLayout(DataLayout::byxf_af32);
        k.EnableOutputLayout(DataLayout::byxf_af32);
        k.EnableTensorOffset();
        k.EnableTensorPitches();
        k.EnableBatching();
        k.EnablePoolType(PoolType::MAX);
        k.EnablePoolType(PoolType::AVG);
        k.EnablePoolRemainder(PoolRemainder::FLOOR);
        k.EnablePoolRemainder(PoolRemainder::CEIL);
        k.EnablePoolKernelDividerMode(KernelDividerMode::FIXED);
        k.EnablePoolKernelDividerMode(KernelDividerMode::DYNAMIC);
        k.EnablePoolKernelDividerMode(KernelDividerMode::DYNAMIC_WITH_PADDING);
        k.EnableDifferentTypes();
        return k;
    }

    PoolingKernelBase::DispatchData PoolingKerneGPU_byxf_af32::SetDefault(const pooling_params& params) const
    {
        constexpr int simdSize = 8;

        DispatchData runInfo = PoolingKernelBase::SetDefault(params);

        runInfo.gws0 = params.output.X().v;
        runInfo.gws1 = params.output.Y().v;
        // we got byxf_af32 format, so if we process 4 features per workitem, that means we process 32 per simd, so divide by 4 and we end up with 8
        runInfo.gws2 = (RoundUp(params.output.Feature().v, 32) * params.output.Batch().v) / 4;

        runInfo.lws0 = 1;
        runInfo.lws1 = 1;
        runInfo.lws2 = simdSize;

        return runInfo;
    }
    
    KernelsData PoolingKerneGPU_byxf_af32::GetKernelsData(const Params& params, const optional_params& options) const
    {
        return GetCommonKernelsData(params, options, FORCE_PRIORITY_1);
    }
}