Okay, so let’s talk about this “trt vitor” thing I messed around with. I wanted to see if I could get this working, and let me tell you, it was a bit of a journey.
First, I started by gathering everything I needed. This meant making sure I had the right libraries installed and that everything was set up correctly on my computer. I had to install the TensorRT library, some dependencies and stuff. Then the ViT model was downloaded from the internet. It’s not a small one, so it took a while.
After downloading, I started converting the model. I tried a few different ways, and some of them just didn’t work out. I even had to go back and check if I had done things right, step by step. I played with a few different models and scripts, trying to find something that would work for me. After many times, I decided to convert the ViT model into ONNX format.
Then, I spent some time trying to figure out how to get the ONNX model into TensorRT. There’s a tool for that, and after many trials, I finally got it. I had to specify a bunch of stuff like the input and output sizes, and some other things that I didn’t really understand at first.
Finally, I had my TensorRT engine. I was so happy! I wrote a quick little program to load some images and see if it worked. And guess what? It did! I saw the results pop up on my screen, and it was actually pretty fast.
So yeah, that’s my story with trt vitor. It wasn’t easy, but I learned a lot along the way. If you’re thinking about trying it yourself, my advice is to be patient and don’t give up. It might take some time, but it’s totally worth it in the end.
- First, get all the necessary parts.
- Then, convert the model, and be prepared for some roadblocks.
- After that, use the right tool to turn it into a TensorRT engine.
- Finally, give it a test run!
Some Key Points
- Installing: Make sure you have everything you need.
- Converting: This can be tricky, so try different methods.
- Optimizing: There are tools to help with this, so use them.
- Testing: Don’t be afraid to experiment and see what works.
Overall, this was a fun project, even though it was a bit challenging at times. But I am so happy that I made it.
