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 "arg_max_min_inst.h"
  #include "primitive_type_base.h"
  #include "sliding_window_utils.h"
  #include "error_handler.h"
  #include "json_object.h"
  
  namespace cldnn
  {
  	primitive_type_id arg_max_min_type_id()
  	{
  		static primitive_type_base<arg_max_min> instance;
  		return &instance;
  	}
  
  	layout arg_max_min_inst::calc_output_layout(arg_max_min_node const& node)
  	{
          auto desc = node.get_primitive();
          auto input_layout = node.input().get_output_layout();
          auto output_data_type = desc->get_output_data_type() ? *desc->get_output_data_type() : input_layout.data_type;
          auto size_check = [&](size_t tensor_size) {
              size_t max_size;
              // lowest integer not representable in floating point type = 2^(mantissa_bits + 1) + 1
              // https://stackoverflow.com/questions/3793838/which-is-the-first-integer-that-an-ieee-754-float-is-incapable-of-representing-e
              if (output_data_type == data_types::f32) {
                  max_size = (1 << std::numeric_limits<float>::digits);
              }
              else if (output_data_type == data_types::f16) {
                  // mantissa_bits for fp16 = 10
                  max_size = (1 << 11);
              }
              else {
                  max_size = data_type_traits::max<size_t>(output_data_type);
              }
              
              if (tensor_size > max_size) {
                  CLDNN_ERROR_GREATER_THAN(node.id(), "Reduced tensor size", tensor_size, "Maximum output data type value", max_size, "Current output data type is unable to hold maximum index of a tensor.");
              }
          };
  		if (desc->with_axis){
  			switch (desc->axis){
  				case arg_max_min::x:
                      size_check(input_layout.size.spatial[0]);
  					return layout{ output_data_type, format::bfyx, tensor{ input_layout.size.batch[0], input_layout.size.feature[0], (int32_t)desc->top_k, input_layout.size.spatial[1] }};
  				case arg_max_min::y:
                      size_check(input_layout.size.spatial[1]);
  					return layout{ output_data_type, format::bfyx, tensor{ input_layout.size.batch[0], input_layout.size.feature[0], input_layout.size.spatial[0], (int32_t)desc->top_k }};
  				case arg_max_min::feature:
                      size_check(input_layout.size.feature[0]);
  					return layout{ output_data_type, format::bfyx, tensor{ input_layout.size.batch[0], (int32_t)desc->top_k, input_layout.size.spatial[0], input_layout.size.spatial[1] }};
  				case arg_max_min::batch:
                      size_check(input_layout.size.batch[0]);
  					return layout{ output_data_type, format::bfyx, tensor{ (int32_t)desc->top_k, input_layout.size.feature[0], input_layout.size.spatial[0], input_layout.size.spatial[1] }};
  				default:
  					break;
  			}
  		}
          size_check(input_layout.size.feature[0] * input_layout.size.spatial[0] * input_layout.size.spatial[1]);
          return layout{ output_data_type, input_layout.format, tensor{ input_layout.size.batch[0], 1, (int32_t)desc->top_k, 1 } };
  	}
  
  	std::string arg_max_min_inst::to_string(arg_max_min_node const& node)
  	{
  		auto desc = node.get_primitive();
  		auto node_info = node.desc_to_json();
  		auto axis = desc->with_axis ? "true" : "false";
  		auto out_type = desc->output_type ? "max" : "min";
  
  		std::stringstream primitive_description;
  
  		json_composite conv_info;
  		conv_info.add("top_k", desc->top_k);
  		conv_info.add("with axis", axis);
  		if (desc->with_axis)
  			conv_info.add("axis", desc->axis);
  		conv_info.add("output type", out_type);
  		node_info->add("arg_max_min info", conv_info);
  		node_info->dump(primitive_description);
  
  		return primitive_description.str();
  	}
  
  	arg_max_min_inst::typed_primitive_inst(network_impl& network, arg_max_min_node const& node)
  		: parent(network, node)
  	{
  	}
  }
  