I try to transform the NLP model using from_tensorflow, then get an error.
```
......
%1817 = add(%35, %1816);
%1818 = reshape(%1817, newshape(-1,[28500]))
%1819 = topk(%1818, k=3, dtype='int32')
%1820 = %1819.1
%1821 = cast(%1820, dtype='float64')
%1822 = cast(9500, dtype='float64')
%1823 = divide(%1821, %1822)
%1824 = cast(%1823, dtype='int32')
%1825 = add(%33, %1824)
%1826 = reshape(%1825, newshape=[-1])
%1827 = take(%30, %1826, axis=0) in particular dimension 2 conflicts (int64)3
does not match 2; unable to unify: `Tensor[(15, 8, 3, 64), float32]` and
`Tensor[(15, 8, 2, 64), float32]`; ;
%1818 = take(%loop_var172, %loop_var50, axis =0)
........
```
I print same information, looks right.
```
%30 => shape: (15, 8, 3, 64) op: ConcatV2
%1826 => shape: (15,) op: Reshape
%1827 => node:
name: "while/GatherV2"
input: "while/concat"
input: "while/Reshape_75"
inpurt: "while/GatherV2/axis"
attr{
key: "Taxis"
value{
type: DT_INT32
}
}
attr{
key: "Tparams"
value{
type: DT_FLOAT
}
}
attr{
key: "_output_shapes"
value{
list{
dim {
size: -1
}
dim {
size: 8
}
dim {
size: -1
}
dim {
size: 64
}
}
}
}
attr{
key: "batch_dims"
value{
i: 0
}
}
```
I don't know what this mistake means and how do I start checking it ?Any good
Suggestions and methods to check errors?
---
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