text: ﻿//
  // Copyright (c) 2019-2020 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.
  //
  
  #pragma once
  
  #include "convolution_kernel_base.h"
  #include <vector>
  
  namespace kernel_selector {
  
  class ConvolutionKernel_b_fs_zyx_fsv16 : public ConvolutionKernelBase {
  public:
      using Parent = ConvolutionKernelBase;
  
      explicit ConvolutionKernel_b_fs_zyx_fsv16(Datatype use_data_type) :
          ConvolutionKernelBase(use_data_type == Datatype::F32 ? "gen9_common_conv_fwd_data_f32" : "gen9_common_conv_fwd_data_f16"),
          use_data_type(use_data_type) {}
  
      virtual ~ConvolutionKernel_b_fs_zyx_fsv16() {}
  
      KernelsData GetKernelsData(const Params& params, const optional_params& options) const override;
      ParamsKey GetSupportedKey() const override;
  
  protected:
      WeightsLayout GetPreferredWeightsLayout(const convolution_params& params) const override {
          bool is_3d_case = params.inputs[0].GetLayout() != DataLayout::bs_fs_yx_bsv16_fsv16;
          if (params.inputs[0].Feature().v == 3 && params.inputs[0].GetLayout() == DataLayout::bfzyx) {
              return WeightsLayout::os_zyxi_osv16;
          } else if (use_data_type == Datatype::F32 && params.inputs[0].Batch().v % 16 == 0) {
              if (is_3d_case)
                  return (params.groups > 1) ? WeightsLayout::g_is_os_zyx_isv16_osv16 : WeightsLayout::is_os_zyx_isv16_osv16;
              else
                  return (params.groups > 1) ? WeightsLayout::g_is_os_yx_isv16_osv16 : WeightsLayout::is_os_yx_isv16_osv16;
          } else if (use_data_type == Datatype::F16 && params.inputs[0].Batch().v % 32 == 0) {
              if (is_3d_case)
                  return (params.groups > 1) ? WeightsLayout::g_os_is_zyx_isv8_osv16_isv2 : WeightsLayout::os_is_zyx_isv8_osv16_isv2;
              else
                  return (params.groups > 1) ? WeightsLayout::g_os_is_yx_isv8_osv16_isv2 : WeightsLayout::os_is_yx_isv8_osv16_isv2;
          } else {
              return (params.groups > 1) ? WeightsLayout::g_os_is_zyx_isv16_osv16 : WeightsLayout::os_is_zyx_isv16_osv16;
          }
      }
      bool Validate(const Params& p, const optional_params& o) const override;
      DispatchData SetDefault(const convolution_params& arg, int autoTuneIndex = -1) const override;
      JitConstants GetJitConstants(const convolution_params& params, const DispatchData& dispatchData) const override;
  
      std::vector<FusedOpType> GetSupportedFusedOps() const override {
          return { FusedOpType::ELTWISE,
                   FusedOpType::QUANTIZE,
                   FusedOpType::SCALE,
                   FusedOpType::ACTIVATION };
      }
  
      // This class is base one for FP16 and FP32 classes
      Datatype use_data_type;
  };
  }  // namespace kernel_selector
  