Merge branch 'main' of https://huggingface.co./sergiopaniego/OptimizedPilotNet into main
Browse files
README.md
CHANGED
|
@@ -1,3 +1,41 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
---
|
| 4 |
+
|
| 5 |
+
# Tensorflow
|
| 6 |
+
|
| 7 |
+
* Version: 2.7.0
|
| 8 |
+
* TensorRT version: 7.2.2.1
|
| 9 |
+
* Docker image: nvcr.io/nvidia/tensorflow:20.12-tf2-py3
|
| 10 |
+
* GPU: NVIDIA GeForce 3090
|
| 11 |
+
* CUDA: 11.6
|
| 12 |
+
* Driver version: 510.54
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
| Optimization | Model size (MB) | MSE | Inference time (s/frame) | Filename |
|
| 17 |
+
| --------------------------------- | ---------------------- | ---------------------- | ---------------------- | --------------------------------- |
|
| 18 |
+
| Baseline | 6.0925140380859375 | 0.010881431312199034 | 0.0016004319190979005 | 28_04_pilotnet_model.tflite |
|
| 19 |
+
| Dynamic Range Quantization | 1.5389328002929688 | 0.041451400199878044 | 0.0008851253986358643 | 28_04_pilotnet_dynamic_quant.tflite |
|
| 20 |
+
| Integer Quantization | 1.5389328002929688 | 0.01102226436099348 | 0.0008868560791015625 | 28_04_pilotnet_int_quant.tflite |
|
| 21 |
+
| Integer (float fallback) Quantization | 1.5389175415039062 | 0.011030688516599923 | 0.0008031470775604248 | 28_04_pilotnet_intflt_quant.tflite |
|
| 22 |
+
| Float16 Quantization | - | - | - | 28_04_pilotnet_float16_quant.tflite |
|
| 23 |
+
| Quantization Aware Training | 1.5446319580078125 | 0.0115418379596583 | 0.0008456888198852539 | 28_04_pilotnet_quant_aware.tflite |
|
| 24 |
+
| (random sparse) Weight pruning | 6.0925140380859375 | 0.011697137610230973 | 0.0016570956707000733 | 28_04_pilotnet_pruned.tflite |
|
| 25 |
+
| (random sparse) Weight pruning Quantization | 1.536590576171875 | 0.011635421636510991 | 0.0012711701393127441 | 28_04_pilotnet_pruned_quan.tflite |
|
| 26 |
+
| Cluster preserving Quantization Aware | 1.5446319580078125 | 0.010546523951115492 | 0.0008221814632415771 | 28_04_pilotnet_cqat_model.tflite |
|
| 27 |
+
| Pruning preserving Quantization Aware | 1.5446319580078125 | 0.010758002372154884 | 0.0008252830505371093 | 28_04_pilotnet_pqat_model.tflite |
|
| 28 |
+
| Sparsity and cluster preserving quantization aware training (PCQAT) | 1.5446319580078125 | 0.008262857163545972 | 0.0008286898136138916 | 28_04_pilotnet_pcqat_model.tflite |
|
| 29 |
+
|
| 30 |
+
# TensorRT-Tensorflow
|
| 31 |
+
|
| 32 |
+
| Optimization | Model size (MB) | MSE | Inference time (s/frame) | Folder |
|
| 33 |
+
| --------------------------------- | ---------------------- | ---------------------- | ---------------------- | --------------------------------- |
|
| 34 |
+
| Float32 Quantization | 0.00390625 | 0.010798301750717706 | 0.00038761067390441896 | 24_04_pilotnet_tftrt_fp32 |
|
| 35 |
+
| Float16 Quantization | 0.00390625 | 0.010798278900279191 | 0.00042218327522277834 | 24_04_pilotnet_tftrt_fp16 |
|
| 36 |
+
| Int8 Quantization | 0.00390625 | 0.04791482252948612 | 0.0003384373188018799 | 14_06_pilotnet_tftrt_fp16 |
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
|