I got a bit confused above, sorry. It is not about the `inputs` but about the `tinfos`.
Just to avoid any additional confusion I tried to print the types of the interesting variables **conv2d_alter_op(attrs, inputs, tinfos, out_type)** ``` print(type(inputs[0])) # <class 'tvm.relay.expr.Var'> print(type(tinfos[0])) # <class 'tvm.te.tensor.Tensor'> ``` **_qnn_conv2d_legalize_arm_cpu(attrs, inputs, types)** ``` print(type(inputs[0])) # <class 'tvm.relay.expr.Var'> print(type(types[0])) #<class 'tvm.ir.tensor_type.TensorType'> ``` The call to `relay.backend.compile_engine.select_implementation` asks to provide an array of `tvm.te.Tensor`s as its 3rd argument while I have (during legalization) only a `tvm.ir.TensorType` array. So, the question still remains: is there a way to get a tensor during legalization? --- [Visit Topic](https://discuss.tvm.apache.org/t/quantized-models-and-legalization-pass/8253/6) 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/a1455221c315d3eb0e1b8fb0947ada6cc36108bbe692d6ffa2b9d7dd59ee107c).
