[D] The future of pytorch-quantization?

Hi everyone, long time reader, first-time poster 😉

Loving every millisecond of TRT, great job!

I was wondering if there is any sort of public roadmap for the pytorch-quantization package. I.e., more examples, recipes, capabilities, etc.

Specifically, any pathway to support direct conversion to tensorflow-lite format after quantization-aware training.

Thanks for reading, 100x thanks if answering!

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Hi,
We recommend you to check the below samples links in case of tf-trt integration issues.
https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html#samples
https://docs.nvidia.com/deeplearning/tensorrt/quick-start-guide/index.html#framework-integration
https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html#integrate-ovr
https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html#usingtftrt

If issue persist, We recommend you to reach out to Tensorflow forum.
Thanks!