The slice_like operator takes two inputs:
1. Data tensor to be sliced.
2. Tensor, from which shape will be used to slice input 1.

In many object detection networks, input 1 is a constant and the shape of input 
2 is known statically. 
To perform this operation only the shape of input 2 is needed. However, the 
FoldConstant pass doesn't know this and will see that since input 2 is not a 
constant, the operation will not be constant folded.

To fix this, I want to add a pass to simplify slice_like to strided_slice when 
the necessary shapes of input 2 are available statically. Any thoughts?





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