@alopez_13 thanks for the nice initial draft!. I hope other experience members
can also contribute to describe each of those steps in more detail. What is
difficult about this is not only the amount of files that have to be modified
but also that from one operator to another the are difference
Hi,
I am testing a model with 3 outputs, however, when I use `m.get_output(0, ) `
for example for index 0, I always get different outputs. This means that the
outputs are randomly mapped to the output indexes.
Is this a bug? or is there any way to get the output indexes in a deterministic
Hi @vinx13
Could you confirm please if only the NCHW layout can be quantized and not NHWC?
Thanks
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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,
ou
