If your final output is incorrect, the first step I would try is to see what it should be in the original framework.
For example, if your model is in PyTorch, pass some input data, and save the output. Then, export to TVM, and pass it the same input data. If the output from TVM is different from the original model (with some margin of error for order of floating point ops), then there may be an error in the model importer. If that's the case, posting a reproducible example in the TVM forums may help. For example, you mention BERT which is a common model and has several forum users who use it. If you want to investigate errors yourself, you can compare intermediate results. For PyTorch, there is [this third-party package](https://pypi.org/project/torch-intermediate-layer-getter/) which saves intermediate results. My earlier posts in this thread about `debug_executor` showed how to do so in TVM. --- [Visit Topic](https://discuss.tvm.apache.org/t/what-if-the-result-is-not-correct/11858/8) 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/6a69a3f07187079506e3190ad6978c1f4d5a1426dd4d1ca9b9df8f80475decec).
