157     void consume_parameters(ExampleParams &common_params)  in consume_parameters()  argument
159         common_params.input.width      = width->value();  in consume_parameters()
160         common_params.input.height     = height->value();  in consume_parameters()
161         common_params.input.fm         = channels->value();  in consume_parameters()
162         common_params.input.batch      = batch->value();  in consume_parameters()
163         common_params.input.quant_info = QuantizationInfo(scale->value(), offset->value());  in consume_parameters()
164         common_params.input.npy        = input_npy->value();  in consume_parameters()
165         common_params.input.range_low  = input_range_low->value();  in consume_parameters()
166         common_params.input.range_high = input_range_high->value();  in consume_parameters()
168         common_params.weights.width      = weights_width->value();  in consume_parameters()
169         common_params.weights.height     = weights_height->value();  in consume_parameters()
170         common_params.weights.npy        = weights_npy->value();  in consume_parameters()
171         common_params.weights.range_low  = weights_range_low->value();  in consume_parameters()
172         common_params.weights.range_high = weights_range_high->value();  in consume_parameters()
173 …common_params.weights.quant_info = QuantizationInfo(weights_scale->value(), weights_offset->value(…  in consume_parameters()
175         common_params.bias.npy = bias_npy->value();  in consume_parameters()
177 … common_params.output.quant_info = QuantizationInfo(output_scale->value(), output_offset->value());  in consume_parameters()
178         common_params.output.npy        = output_npy->value();  in consume_parameters()
180         common_params.convolution.padding_mode     = padding_mode->value();  in consume_parameters()
181         common_params.convolution.padding_top      = padding_top->value();  in consume_parameters()
182         common_params.convolution.padding_bottom   = padding_bottom->value();  in consume_parameters()
183         common_params.convolution.padding_left     = padding_left->value();  in consume_parameters()
184         common_params.convolution.padding_right    = padding_right->value();  in consume_parameters()
185         common_params.convolution.padding_stride_x = stride_x->value();  in consume_parameters()
186         common_params.convolution.padding_stride_y = stride_y->value();  in consume_parameters()
187         common_params.convolution.depth_multiplier = depth_multiplier->value();  in consume_parameters()
189         common_params.data_type                = data_type->value();  in consume_parameters()
190         common_params.data_layout              = data_layout->value();  in consume_parameters()
191         common_params.depth_convolution_method = conv_mode->value();  in consume_parameters()
194     void print_parameters(::std::ostream &os, const ExampleParams &common_params) override  in print_parameters()  argument
196         os << "Threads : " << common_params.common_params.threads << std::endl;  in print_parameters()
197         os << "Target : " << common_params.common_params.target << std::endl;  in print_parameters()
198         os << "Data type : " << common_params.data_type << std::endl;  in print_parameters()
199 …, Batch) : (" << common_params.input.width << "," << common_params.input.height << "," << common_p…  in print_parameters()
201 …annels(same as input)) : (" << common_params.weights.width << "," << common_params.weights.height …  in print_parameters()
203 …om, left, right) (stride x, stride y) : (" << common_params.convolution.padding_top << "," << comm…  in print_parameters()
204 …common_params.convolution.padding_left << "," << common_params.convolution.padding_right << ") (" …  in print_parameters()
206         os << "Padding Mode: " << common_params.convolution.padding_mode << std::endl;  in print_parameters()
207         os << "Convolution Method: " << common_params.depth_convolution_method << std::endl;  in print_parameters()
208         os << "Depth multiplier: " << common_params.convolution.depth_multiplier;  in print_parameters()
299         return relative_tolerance.at(_params.common_params.target).at(_params.data_type);  in relative_tolerance()
322         return absolute_tolerance.at(_params.common_params.target).at(_params.data_type);  in absolute_tolerance()
345         return absolute_tolerance.at(_params.common_params.target).at(_params.data_type);  in tolerance_number()