text: /*
  // Copyright (c) 2018 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 "softmax_loss_grad_inst.h"
  #include "primitive_gpu_base.h"
  #include "implementation_map.h"
  #include "kernel_selector_helper.h"
  #include "softmax_loss_grad/softmax_loss_grad_kernel_selector.h"
  #include "softmax_loss_grad/softmax_loss_grad_kernel_base.h"
  #include "error_handler.h"
  
  namespace cldnn {
  namespace gpu {
  
  struct softmax_loss_grad_gpu : typed_primitive_gpu_impl<softmax_loss_grad> {
      using parent = typed_primitive_gpu_impl<softmax_loss_grad>;
      using parent::parent;
  
      static primitive_impl* create(const softmax_loss_grad_node& arg) {
          auto sm_params = get_default_params<kernel_selector::softmax_loss_grad_params>(arg);
          auto sm_optional_params =
              get_default_optional_params<kernel_selector::softmax_loss_grad_optional_params>(arg.get_program());
  
          sm_params.gradient = true;
          sm_params.inputs.push_back(convert_data_tensor(arg.get_dependency(1).get_output_layout()));
  
          auto& kernel_selector = kernel_selector::softmax_loss_grad_kernel_selector::Instance();
          auto best_kernels = kernel_selector.GetBestKernels(sm_params, sm_optional_params);
  
          CLDNN_ERROR_BOOL(arg.id(),
                           "Best_kernel.empty()",
                           best_kernels.empty(),
                           "Cannot find a proper kernel with this arguments");
  
          auto softmax_loss_grad_node = new softmax_loss_grad_gpu(arg, best_kernels[0]);
  
          return softmax_loss_grad_node;
      }
  };
  
  namespace detail {
  
  attach_softmax_loss_grad_gpu::attach_softmax_loss_grad_gpu() {
      auto val_fw = softmax_loss_grad_gpu::create;
      implementation_map<softmax_loss_grad>::add(std::make_tuple(engine_types::ocl, data_types::f32, format::yxfb),
                                                 val_fw);
      implementation_map<softmax_loss_grad>::add(std::make_tuple(engine_types::ocl, data_types::f16, format::yxfb),
                                                 val_fw);
      implementation_map<softmax_loss_grad>::add(std::make_tuple(engine_types::ocl, data_types::f32, format::bfyx),
                                                 val_fw);
      implementation_map<softmax_loss_grad>::add(std::make_tuple(engine_types::ocl, data_types::f16, format::bfyx),
                                                 val_fw);
      implementation_map<softmax_loss_grad>::add(std::make_tuple(engine_types::ocl, data_types::f32, format::byxf),
                                                 val_fw);
      implementation_map<softmax_loss_grad>::add(std::make_tuple(engine_types::ocl, data_types::f16, format::byxf),
                                                 val_fw);
  }
  
  }  // namespace detail
  }  // namespace gpu
  }  // namespace cldnn
  