| 456 | } |
| 457 | |
| 458 | tensorflow::Status Export(const TocoFlags& toco_flags, const Model& model, |
| 459 | bool allow_custom_ops, string* output_file_contents) { |
| 460 | switch (toco_flags.output_format()) { |
| 461 | case TENSORFLOW_GRAPHDEF: |
| 462 | ExportTensorFlowGraphDef(model, output_file_contents); |
| 463 | break; |
| 464 | case TFLITE: { |
| 465 | toco::tflite::ExportParams params; |
| 466 | |
| 467 | params.enable_select_tf_ops = |
| 468 | toco_flags.force_select_tf_ops() || toco_flags.enable_select_tf_ops(); |
| 469 | params.allow_custom_ops = allow_custom_ops; |
| 470 | params.allow_dynamic_tensors = toco_flags.allow_dynamic_tensors(); |
| 471 | |
| 472 | if (toco_flags.post_training_quantize()) { |
| 473 | if (toco_flags.quantize_to_float16()) { |
| 474 | params.quantize_weights = tflite::QuantizedBufferType::FLOAT16; |
| 475 | } else { |
| 476 | params.quantize_weights = tflite::QuantizedBufferType::INT8; |
| 477 | } |
| 478 | } |
| 479 | auto status = toco::tflite::Export(model, output_file_contents, params); |
| 480 | if (!status.ok()) { |
| 481 | LOG(ERROR) << status.error_message(); |
| 482 | } |
| 483 | return status; |
| 484 | } break; |
| 485 | case GRAPHVIZ_DOT: |
| 486 | DumpGraphviz(model, output_file_contents, "Computation Graph"); |
| 487 | break; |
| 488 | default: |
| 489 | LOG(FATAL) << "Unhandled output_format='" |
| 490 | << FileFormat_Name(toco_flags.output_format()) << "'"; |
| 491 | } |
| 492 | return tensorflow::Status(); |
| 493 | } |
| 494 | |
| 495 | } // namespace toco |
nothing calls this directly
no test coverage detected