# Segmentation Fault in relay.quantize.quantize

**URL:** <https://discuss.tvm.apache.org/t/segmentation-fault-in-relay-quantize-quantize/4328>\
**Category:** Troubleshooting\
**Created:** [October 14, 2019, 7:10pm UTC](https://discuss.tvm.apache.org/t/segmentation-fault-in-relay-quantize-quantize/4328 "2019-10-14T19:10:19Z")\
**Posts on this page:** 1\
**Showing post:** 4

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**Author:** ![alopez\_13](https://discuss.tvm.apache.org/user_avatar/discuss.tvm.apache.org/alopez_13/32/786_2.png) [@alopez\_13](https://discuss.tvm.apache.org/u/alopez_13)\
**Post date:** [November 21, 2019, 4:13pm UTC](https://discuss.tvm.apache.org/t/segmentation-fault-in-relay-quantize-quantize/4328/4 "2019-11-21T16:13:27Z")

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It could be, the full explanation can be found here:

> **[Quantization Story](https://discuss.tvm.apache.org/t/quantization-story/3920)**
>
> I think it is worthwhile to have a high-level quantization post explaining the flow and mentioning developers who are involved in different steps. This should improve collaboration, while also putting a high-level story to anybody who wants to...

I haven’t tried going from TF-\>TVM recently as I am going through quantized model in TFLite-\>TVM route, it works but the performance on inference is worse than FP32 (original TF model) I think that the autotvm optimization is still being worked on, but once its ready I should expect better performance from INT-only models.

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