I would like to share the solution to my problem described in the previous
comment.
The issue is that I defined the set of outputs of the model as a set using as
follows:
```
outputs = {'output1', 'output2', 'output3'}
mod, params = relay.frontend.from_tensorflow(graph_def, layout=layout,
outputs=outputs, shape=shape_dict)
```
This results in a random order of the outputs when the set is indexed. I used
this as I found an example setting the outputs as a set, however, the right way
is with a list as follows:
```
outputs = ['output1', 'output2', 'output3']
mod, params = relay.frontend.from_tensorflow(graph_def, layout=layout,
outputs=outputs, shape=shape_dict)
```
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Tianqi Chen, UW, Seattle, WA, 98105, United States
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