text: ﻿/*
  // 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 "lrn_kernel_within_channel_ref_opt.h"
   
  namespace KernelSelector 
  {
      ParamsKey LRNKernelWithinChannelOpt::GetSupportedKey() const
      {
          ParamsKey k;
          k.EnableInputDataType(Datatype::F16);
          k.EnableInputDataType(Datatype::F32);
          k.EnableOutputDataType(Datatype::F16);
          k.EnableOutputDataType(Datatype::F32);
          k.EnableInputLayout(DataLayout::bfyx);
          k.EnableInputLayout(DataLayout::yxfb);
          k.EnableOutputLayout(DataLayout::bfyx);
          k.EnableOutputLayout(DataLayout::yxfb);
          k.EnableTensorOffset();
          k.EnableTensorPitches();
          k.EnableBatching();
          k.EnableLRNMode(LRNMode::WITHIN_CHANNEL);
          k.EnableLRNKernelDividerMode(KernelDividerMode::FIXED);
          return k;
      }
  
      CommonDispatchData LRNKernelWithinChannelOpt::SetDefault(const LRNParams& params) const
      {
          CommonDispatchData runInfo = LRNKernelBase::SetDefault(params);
          const auto totalSize = params.inputs[0].LogicalSize();
          const unsigned work_group_size = (totalSize < 128)? 32 : 128;
  
          runInfo.gws0 = Align(params.inputs[0].LogicalSize(), work_group_size);
          runInfo.gws1 = 1;
          runInfo.gws2 = 1;
  
          runInfo.lws0 = work_group_size;
          runInfo.lws1 = 1;
          runInfo.lws2 = 1;
  
          return runInfo;
      }
  
      KernelsData LRNKernelWithinChannelOpt::GetKernelsData(const Params& params, const OptionalParams& options) const
      {
          return GetCommonKernelsData(params, options, FORCE_PRIORITY_8);
      }
  }