| 181 | } |
| 182 | |
| 183 | void dump_output_data(node_t test_node) |
| 184 | { |
| 185 | tensor_t output_tensor = get_node_output_tensor(test_node, 0); |
| 186 | int dims[4]; |
| 187 | |
| 188 | get_tensor_shape(output_tensor, dims, 4); |
| 189 | |
| 190 | void* o_buf = get_tensor_buffer(output_tensor); |
| 191 | int data_type = get_tensor_data_type(output_tensor); |
| 192 | |
| 193 | for(int i = 0; i < dims[1]; i++) |
| 194 | { |
| 195 | if(data_type == TENGINE_DT_FP32) |
| 196 | { |
| 197 | float* p = ( float* )o_buf; |
| 198 | std::cout << i << " " << p[i] << "\n"; |
| 199 | } |
| 200 | else if(data_type == TENGINE_DT_FP16) |
| 201 | { |
| 202 | __fp16* p = ( __fp16* )o_buf; |
| 203 | |
| 204 | #ifdef __ARM_ARCH |
| 205 | std::cout << i << " " << ( float )p[i] << "\n"; |
| 206 | #else |
| 207 | std::cout << i << " " << fp16_to_fp32(p[i]) << "\n"; |
| 208 | #endif |
| 209 | } |
| 210 | else if(data_type == TENGINE_DT_INT8) |
| 211 | { |
| 212 | int8_t* p = ( int8_t* )o_buf; |
| 213 | std::cout << i << " " << ( int )p[i] << "\n"; |
| 214 | } |
| 215 | else |
| 216 | { |
| 217 | uint8_t* p = ( uint8_t* )o_buf; |
| 218 | |
| 219 | std::cout << i << " " << ( int )p[i] << "\n"; |
| 220 | } |
| 221 | } |
| 222 | |
| 223 | release_graph_tensor(output_tensor); |
| 224 | } |
| 225 | |
| 226 | int main(int argc, char* argv[]) |
| 227 | { |
no test coverage detected