It doesn't make sense to convert a model with only one Resampler op. Think about it. What's the layout of an input variable? An input variable only has shape and type but no layout. As a result, InferCorrectLayout basically does nothing.
Based on that, ConvertLayout actually propagates the known layouts through the graph. When it meets a conv2d, it clearly knows the input and output layout, so it could pass the output layout to the next op so on so forth. The ops that don't have layout attribute rely on the propagated layout information to infer the correct layout. --- [Visit Topic](https://discuss.tvm.apache.org/t/infercorrectlayout/9116/4) 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/1b9f488037d320de9de321eda50fa5bff481e986082a02c7fa813b715233da12).
