| 457 | } |
| 458 | |
| 459 | bool setTensorDynamicRange(INetworkDefinition const& network, float inRange = 2.0F, float outRange = 4.0F) |
| 460 | { |
| 461 | // Ensure that all layer inputs have a dynamic range. |
| 462 | for (int32_t l = 0; l < network.getNbLayers(); l++) |
| 463 | { |
| 464 | auto* layer = network.getLayer(l); |
| 465 | for (int32_t i = 0; i < layer->getNbInputs(); i++) |
| 466 | { |
| 467 | ITensor* input{layer->getInput(i)}; |
| 468 | // Optional inputs are nullptr here and are from RNN layers. |
| 469 | if (input && !input->dynamicRangeIsSet()) |
| 470 | { |
| 471 | // Concat should propagate dynamic range from outputs to inputs to avoid |
| 472 | // Re-quantization during the concatenation |
| 473 | auto dynRange = (layer->getType() == LayerType::kCONCATENATION) ? outRange : inRange; |
| 474 | if (!input->setDynamicRange(-dynRange, dynRange)) |
| 475 | { |
| 476 | return false; |
| 477 | } |
| 478 | } |
| 479 | } |
| 480 | for (int32_t o = 0; o < layer->getNbOutputs(); o++) |
| 481 | { |
| 482 | ITensor* output{layer->getOutput(o)}; |
| 483 | // Optional outputs are nullptr here and are from RNN layers. |
| 484 | if (output && !output->dynamicRangeIsSet()) |
| 485 | { |
| 486 | // Pooling must have the same input and output dynamic range. |
| 487 | if (layer->getType() == LayerType::kPOOLING) |
| 488 | { |
| 489 | if (!output->setDynamicRange(-inRange, inRange)) |
| 490 | { |
| 491 | return false; |
| 492 | } |
| 493 | } |
| 494 | else |
| 495 | { |
| 496 | if (!output->setDynamicRange(-outRange, outRange)) |
| 497 | { |
| 498 | return false; |
| 499 | } |
| 500 | } |
| 501 | } |
| 502 | } |
| 503 | } |
| 504 | return true; |
| 505 | } |
| 506 | |
| 507 | void setLayerPrecisions(INetworkDefinition& network, LayerPrecisions const& layerPrecisions) |
| 508 | { |
no test coverage detected