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ardianumam / Tensorflow-TensorRT

This repository is for my YT video series about optimizing a Tensorflow deep learning model using TensorRT. We demonstrate optimizing LeNet-like model and YOLOv3 model, and get 3.7x and 1.5x faster for the former and the latter, respectively, compared to the original models.
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Converted YOLOv3 model has the same size as before #27

Open KaggleAlbertaAI opened 4 years ago

KaggleAlbertaAI commented 4 years ago

Hi, First of all, thanks for your tutorial. It helps me a lot. I am confused that is it normal that converted yoloRT.pd model still has the same size as before? In my case, I see the nodes(graphs) goes down from 1800 to 1400, but model size has no changed. And envetually, the speed of model didn't improve too much.

Look forward your response :)

HoangTienDuc commented 4 years ago

me too

12671741 commented 4 years ago

same problem: numb. of all_nodes in TensorRT graph: 1421 numb. of trt_engine_nodes in TensorRT graph: 0 numb. of all_nodes in TensorRT graph: 1071

MuhammadAsadJaved commented 3 years ago

@KaggleAlbertaAI @HoangTienDuc @12671741 I also have the same problem. How about the speed? is it same?