// Copyright (c) 2016-2020 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 "convolution_kernel_bfyx_direct_10_12_16.h"

namespace kernel_selector {

ParamsKey ConvolutionKernel_bfyx_Direct_10_10_12::GetSupportedKey() const {
    ParamsKey k;
    k.EnableInputDataType(Datatype::F16);
    k.EnableOutputDataType(Datatype::F16);
    k.EnableInputWeightsType(WeightsType::F16);
    k.EnableInputWeightsType(WeightsType::F32);
    k.EnableInputLayout(DataLayout::bfyx);
    k.EnableOutputLayout(DataLayout::bfyx);
    k.EnableTensorOffset();
    k.EnableTensorPitches();
    k.EnableSubGroup();
    k.EnableSubGroupShort();
    k.EnableBiasPerFeature();
    k.EnableBiasPerOutput();
    k.EnableNonBiasTerm();
    k.EnableBatching();
    k.EnableGroupedConvolution();
    return k;
}

JitConstants ConvolutionKernel_bfyx_Direct_10_10_12::GetJitConstants(const convolution_params& cp,
                                                                     const DispatchData& runInfo) const {
    JitConstants jit = Parent::GetJitConstants(cp, runInfo);

    jit.AddConstants({
        MakeJitConstant("ALIGNED_OFM", RoundUp(cp.output.Feature().v / cp.groups, runInfo.gemmStyle.subBlockDimN) * cp.groups),
        MakeJitConstant("ALIGNED_OFM_PER_GROUP", RoundUp(cp.output.Feature().v / cp.groups, runInfo.gemmStyle.subBlockDimN)),
        MakeJitConstant("DX", runInfo.gemmStyle.globalWorkSizeDX),
        MakeJitConstant("DY", runInfo.gemmStyle.globalWorkSizeDY),
        MakeJitConstant("KERNEL_SLICE_DIV2", (cp.filterSize.x * cp.filterSize.y) / 2),
        MakeJitConstant("RIGHT_PARTIAL_TILE_K", cp.output.X().v % runInfo.gemmStyle.globalWorkSizeDX),
        MakeJitConstant("INPUT_BUFFER_WIDTH_PADDED", ""),  // TODO: enable non padding path again
        MakeJitConstant("INPUT_BUFFER_HEIGHT_PADDED", ""),
    });

    return jit;
}

ConvolutionKernel_bfyx_Direct_10_10_12::Parent::DispatchData ConvolutionKernel_bfyx_Direct_10_10_12::SetDefault(
    const convolution_params& arg,
    int) const {
    Parent::DispatchData runInfo = Parent::SetDefault(arg);

    constexpr uint32_t TILE_N = 16;

    if (arg.filterSize.x == 5) {
        runInfo.gemmStyle = {1, 1, TILE_N, /*GWS DX*/ 4, /*GWS DY*/ 4, 1};
    } else {
        runInfo.gemmStyle = {1, 1, TILE_N, /*GWS DX*/ 4, /*GWS DY*/ 3, 1};
    }

    runInfo.gws0 = RoundUp(arg.output.X().v, runInfo.gemmStyle.globalWorkSizeDX) / runInfo.gemmStyle.globalWorkSizeDX;
    runInfo.gws1 = RoundUp(arg.output.Y().v, runInfo.gemmStyle.globalWorkSizeDY) / runInfo.gemmStyle.globalWorkSizeDY;
    runInfo.gws2 = RoundUp(arg.output.Feature().v / arg.groups, TILE_N) * arg.output.Batch().v * arg.groups;

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

    runInfo.efficiency = FORCE_PRIORITY_4;

    return runInfo;
}

bool ConvolutionKernel_bfyx_Direct_10_10_12::Validate(const Params& p, const optional_params& o) const {
    if (!Parent::Validate(p, o) || !CovolutionCheckInput(p, o)) {
        return false;
    }

    const convolution_params& cp = static_cast<const convolution_params&>(p);

    const bool bStrideOK = (cp.stride.x == 1 && cp.stride.y == 1);
    const bool bFilter3x3 = (cp.filterSize.x == 3 && cp.filterSize.y == 3);
    const bool bFilter5x5 = (cp.filterSize.x == 5 && cp.filterSize.y == 5);
    const bool bFilterOK = bFilter3x3 || bFilter5x5;

    if (!bFilterOK || !bStrideOK) {
        return false;
    }

    return true;
}

KernelsData ConvolutionKernel_bfyx_Direct_10_10_12::GetKernelsData(const Params& params,
                                                                   const optional_params& options) const {
    return GetTunedKernelsDataByIndex(params, options);
}
}  // namespace kernel_selector