Update README.md

README.md

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 license: apache-2.0
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+# Tensorflow
+
+* Version: 2.7.0
+* TensorRT version: 7.2.2.1
+* Docker image: nvcr.io/nvidia/tensorflow:20.12-tf2-py3
+* GPU: NVIDIA GeForce 3090
+* CUDA: 11.6
+* Driver version: 510.54
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+
+
+| Optimization                      | Model size   (MB)             |        MSE             | Inference time  (s/frame)       | Filename                          |
+| --------------------------------- | ----------------------   | ---------------------- | ---------------------- | --------------------------------- |
+| Baseline                          |  6.0925140380859375      | 0.010881431312199034   | 0.0016004319190979005  | 28_04_pilotnet_model.tflite       |
+| Dynamic Range Quantization        |  1.5389328002929688      | 0.041451400199878044   | 0.0008851253986358643  | 28_04_pilotnet_dynamic_quant.tflite       |
+| Integer Quantization        |  1.5389328002929688      | 0.01102226436099348   | 0.0008868560791015625  | 28_04_pilotnet_int_quant.tflite       |
+| Integer (float fallback) Quantization        |  1.5389175415039062      | 0.011030688516599923   | 0.0008031470775604248  | 28_04_pilotnet_intflt_quant.tflite       |
+| Float16 Quantization        |  -      | -   | -  | 28_04_pilotnet_float16_quant.tflite       |
+| Quantization Aware Training        |  1.5446319580078125     | 0.0115418379596583   | 0.0008456888198852539  | 28_04_pilotnet_quant_aware.tflite       |
+| (random sparse) Weight pruning        |  6.0925140380859375     | 0.011697137610230973   | 0.0016570956707000733  | 28_04_pilotnet_pruned.tflite       |
+| (random sparse) Weight pruning Quantization        |  1.536590576171875     | 0.011635421636510991   | 0.0012711701393127441  | 28_04_pilotnet_pruned_quan.tflite       |
+| Cluster preserving Quantization Aware       |  1.5446319580078125     | 0.010546523951115492   | 0.0008221814632415771  | 28_04_pilotnet_cqat_model.tflite       |
+| Pruning preserving Quantization Aware       |  1.5446319580078125     | 0.010758002372154884   | 0.0008252830505371093  | 28_04_pilotnet_pqat_model.tflite       |
+| Sparsity and cluster preserving quantization aware training (PCQAT)       |  1.5446319580078125     | 0.008262857163545972   | 0.0008286898136138916  | 28_04_pilotnet_pcqat_model.tflite       |
+
+# TensorRT-Tensorflow
+
+| Optimization                      | Model size   (MB)             |        MSE             | Inference time  (s/frame)       | Folder                          |
+| --------------------------------- | ----------------------   | ---------------------- | ---------------------- | --------------------------------- |
+| Float32 Quantization                          |  0.00390625      | 0.010798301750717706   | 0.00038761067390441896  | 24_04_pilotnet_tftrt_fp32       |
+| Float16 Quantization                          |  0.00390625      | 0.010798278900279191   | 0.00042218327522277834  | 24_04_pilotnet_tftrt_fp16       |
+| Int8 Quantization                          |  0.00390625      | 0.04791482252948612   | 0.0003384373188018799  | 14_06_pilotnet_tftrt_fp16       |
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