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Posted to discuss-archive@tvm.apache.org by kyunghawn choi via Apache TVM Discuss <no...@discuss.tvm.ai> on 2020/10/17 04:14:52 UTC

[Apache TVM Discuss] [Questions] [ Question ] Is Batch Normalization necessary when inference?


I understand that TVM does not currently support deep learning network training.
However, TOPI and Relay seem to contain many layers necessary for training such as **Batch Norm** and **DropOut**.

In the case of Batch Norm, does it affect the result of inference? Or is there no problem with calculating without it?





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