Can TensorRT calculate the number of Params and FLOPs for the model?
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Description
Description
I want to measure the performance of the model, so I want to know the number of parameters and FLOPs.
Is there any tool that can calculate the flops and params of the TensorRT engine?
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
The issue mentions no files, tests, or entry points. Start by investigating TensorRT's existing engine-inspection and profiling tools, then determine whether parameter and FLOP counts are supported for an engine. Done requires a clearly defined, reproducible approach or an explicit statement of the supported limitation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100