❓ [Question] How to save tensorrt engine ?
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story: Documentation & Examples
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- Python
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Description
❓ Question
I had already save torch.jit model and infer with pytorch backend successful, but I had tried find some example in project and issue, but I can not find any case, code, example, tutorial to show how to save a tensorrt engine for running by tensorrt backend, can you help me?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Review the project's existing examples and issue discussions for TensorRT engine serialization, starting from the reported TorchScript model flow that works with the PyTorch backend. Done means providing a clear, reproducible example or tutorial for saving an engine and running it with the TensorRT backend.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100