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Posted to discuss-archive@tvm.apache.org by JoeyChou via Apache TVM Discuss <no...@discuss.tvm.ai> on 2020/09/17 19:22:28 UTC

[Apache TVM Discuss] [Questions] [QNN] How to decompose qnn.requantize into relay-only operators


In the [Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)](https://tvm.apache.org/docs/tutorials/frontend/deploy_prequantized_tflite.html?fbclid=IwAR0n6dzzKCFqzYFEKcOrd9dCCFiCkUP5lpkwPwKkUyxwH-PEEIcxk3vaffQ#deploy-a-framework-prequantized-model-with-tvm-part-3-tflite) example, I can get `qnn.requantize` in the graph. However, I don't know how to QNN passes to decompose the `qnn.requantize`. Is there an example for that?





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[Apache TVM Discuss] [Questions] [QNN] How to decompose qnn.requantize into relay-only operators

Posted by JoeyChou via Apache TVM Discuss <no...@discuss.tvm.ai>.


Thank you @comaniac @anijain2305 it works.





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[Apache TVM Discuss] [Questions] [QNN] How to decompose qnn.requantize into relay-only operators

Posted by "Cody H. Yu via Apache TVM Discuss" <no...@discuss.tvm.ai>.


@anijain2305 could you help on this question?





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[Apache TVM Discuss] [Questions] [QNN] How to decompose qnn.requantize into relay-only operators

Posted by Animesh Jain via Apache TVM Discuss <no...@discuss.tvm.ai>.


If you are in python, you can just try

`mod = relay.qnn.transform.CanonicalizeOps()(mod)`

https://github.com/apache/incubator-tvm/blob/74254c374ac49be64ea440f7abdeb9f5a91273a4/tests/python/relay/test_op_qnn_add.py#L39-L42





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