Hi Animesh,
The problem is that I need padding added in the middle of TIR on my
(transformed) data tensor.
I.e., something like
```
A1 = im2col(A)
A2 = pad(A1)
C_padded = te.compute([M,N], lambda i, j : sum(A2[i,k]*B[k,j], k)
C = unpad(C)+requantization
```
Then I tile on `C` and tensorize o
How about using Relay Legalize pass to add an explicit padding at the graph
level?
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Hi all,
In my effort to accelerate AArch64 through tensorization, I incurred into an
issue.
Basically, I am padding my input tensor, to let `tensorize` work (I need rows
to be multiple of 4 and cols to be multiple of 16).
However, bound inference removes padding (since it is not used) and
