Thanks for the reply, @FrozenGene!
The signatures of the two functions are: ``` def _alter_conv2d_layout(attrs, inputs, types, out_type): ``` ``` def _qnn_conv2d_legalize_arm_cpu(attrs, inputs, types): ``` While they look similar, `inputs` in `_alter_conv2d_layout` contains actual `Tensor`s while `inputs` in `_qnn_conv2d_legalize_arm_cpu` are of class `tvm.relay.expr.Var`. Is there a way to get the tensors during legalization from variables of type `tvm.relay.expr.Var`? Thanks a lot, Giuseppe --- [Visit Topic](https://discuss.tvm.apache.org/t/quantized-models-and-legalization-pass/8253/4) 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/0e0a7bc211f97447cb43bf88e6e1dfa6e943ba6981d1dba8df61eb4d70e80549).
