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Train some sort of semantic segmentation or instance segmentation model--whatever is easiest to start with as a baseline.
To make deployment easy, it'd probably be the best to choose whichever of the…
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## Description
Followed https://github.com/NVIDIA/TensorRT/blob/release/9.1/demo/HuggingFace/notebooks/blip.ipynb to convert a blip-large model into TensorRT engine.
Points to note about blip-la…
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## 🐛 Bug
### To Reproduce
Steps to reproduce the behavio…
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Hello, sir. I would like to consult an issue regarding running the IsaacGym simulation environment in a Docker container. My goal is to run the IsaacGym simulation environment in a Docker container an…
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### Your current environment
```text
The output of `python collect_env.py`
```
### 🐛 Describe the bug
### On the Tesla T4 the model "hangs" after loading the model (the vram usage spikes normal…
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**Description**
According to the Framework matrix (https://docs.nvidia.com/deeplearning/frameworks/support-matrix/index.html#framework-matrix-2024), 24.05 is supposed to support TensorRT 10.0.6.1. Th…
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Hi there,
I'm trying to run vllm_worker for codellama/CodeLlama-7b-Instruct-hf on 2 T4 gpus. But encountered ray.exceptions.RayActorError failure. Could you please provide any suggestion on this? Tha…
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Currently, models need to be written by hand, but there is no inherent reason the relevant information could not be pulled from an application schema file.
I would suggest using [Heretik's parser](…
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I have a custom MinibatchStdev layer is after the Input layer with input shape (None, 16, 16, 16, 1):
```
class MinibatchStdev(Layer):
def __init__(self, **kwargs):
super(MinibatchSt…