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? --- [Visit Topic](https://discuss.tvm.apache.org/t/question-is-batch-normalization-necessary-when-inference/8203/1) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.apache.org/email/unsubscribe/5e71561beb51f91a12833af6a9c8cba2e647a2dcd7cb6421c5c42afa2e28d9a5).
