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Install completed without a problem and I can see torch.nn.functional.interpolate among keys, but when I try to use it, I run into:
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I found that the model converted by torch2trt has some memory leak issure, any advice?
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@sergiomsilva
How can I convert my trained/fine-tuned License plate detector in a TRT engine to deploy it on an edge device like Jetson nano or Jetson TX2 .
Currently, on TX2, run time is not acc…
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## Description
## Environment
**TensorRT Version**: 5.1.5 GA
**GPU Type**:
**Nvidia Driver Version**:
**CUDA Version**: 10.0
**CUDNN Version**: 410
**Operating System + Version**: U…
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I have converted the fcos model to onnx model successfully. However, when I want to use onnx model for inference, error happend:
```
==> Context: Bad node spec: input: "562" output: "563" op_type:…
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I was able to successfully run the 224x224 model after a couple days of trying. I want to run the 256x256 model provided in the readme. When I download it and try to use it with demo.ipynb, it says "k…
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Hello. I want to serve the model using torch2trt and tensorrt inference server.
However, I keep getting problems when deserializing the model.
I created a repository to reproduce this issue.
ht…
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## 🐛 Bug
MultiStepLR is broken with `.step(epoch=xyz)`:
```
import torch
t = torch.tensor(1.0, requires_grad=True)
opt = torch.optim.SGD([t], lr=0.01)
s = torch.optim.lr_scheduler.MultiStepL…
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@jaybdub I built torch2trt successfully, but got error run `python3 -m torch2trt.test --name=interpolate`. I have tried many methods, such as rebuilding pytorch with gcc, changing the gcc version, and…
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After solving the `[TensorRT] ERROR: Network must have at least one output`
Another error happened
The code is:
```python
# The Onnx path is used for Onnx models.
def build_engine_onnx(model_…