mbrookhart commented on issue #5928:
URL: https://github.com/apache/incubator-tvm/issues/5928#issuecomment-649815056
Found it:
The original model has this:
```
%20 = nn.batch_norm(%19, meta[relay.Constant][26] /* ty=Tensor[(24),
float32] */ /* ty=Tensor[(24), float32] */, meta[relay.Constant][27] /*
ty=Tensor[(24), float32] */ /* ty=Tensor[(24), float32] */,
meta[relay.Constant][28] /* ty=Tensor[(24), float32] */ /* ty=Tensor[(24),
float32] */, meta[relay.Constant][29] /* ty=Tensor[(24), float32] */ /*
ty=Tensor[(24), float32] */) /* ty=(Tensor[(1, 24, 56, 56), float32],
Tensor[(24), float32], Tensor[(24), float32]) */;
%21 = %20.0;
```
and later:
```
%31 = nn.batch_norm(%30, meta[relay.Constant][41] /* ty=Tensor[(24),
float32] */ /* ty=Tensor[(24), float32] */, meta[relay.Constant][42] /*
ty=Tensor[(24), float32] */ /* ty=Tensor[(24), float32] */,
meta[relay.Constant][43] /* ty=Tensor[(24), float32] */ /* ty=Tensor[(24),
float32] */, meta[relay.Constant][44] /* ty=Tensor[(24), float32] */ /*
ty=Tensor[(24), float32] */) /* ty=(Tensor[(1, 24, 56, 56), float32],
Tensor[(24), float32], Tensor[(24), float32]) */;
%32 = %31.0;
%33 = %20.0;
%34 = add(%32, %33) /* ty=Tensor[(1, 24, 56, 56), float32] */;
```
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