anijain2305 edited a comment on issue #4828: [QNN][TFLite] TFLite rounding mode support URL: https://github.com/apache/incubator-tvm/pull/4828#issuecomment-583004126 Thanks for this PR. It will help reduce/remove those 1-off deviations. One request that I have is - While setting the rounding mode to TFLite in TFLite parser, it might be better to set it by adding an extra arg in `from_tflite` API. The main reason is that the lowering here might involve many more number of Relay ops, which might degrade performance. So, to enable TVM user to choose different accuracy-performance tradeoff points, we can add a new argument in the TFLite parser API, and then pass it along to the QNN ops. The default value of this arg can be tflite rounding. @FrozenGene Are you ok with this? @u99127 @mbarrett97 will also be interested in this. Also, I think we can have small PRs merged. And incrementally improve test coverage.
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