I analyzed the output results. When the results are inconsistent, the inference results of tvm are always different from the results of pytorch by a value of scale size, so I suspect that pytorch's adaptive_avg_pool2d will round the results, while tvm directly discards the decimal part, When rounding is encountered and when a carry is required, the result of tvm will be smaller than pytorch by a value of scale size.
@masahi What's your opinion on this issue? --- [Visit Topic](https://discuss.tvm.apache.org/t/pytorch-the-inference-results-of-tvm-and-pytorch-are-inconsistent/12048/2) 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/8bfcbe3ac0130bdc93904db8e54e9584818b4f7c75e591be08eb257b03cde69d).
