locnd182644 opened a new pull request, #18668:
URL: https://github.com/apache/tvm/pull/18668
This PR supported Local Response Normalization operator for ONNX.
### Description
Implement and Test Local Response Normalization operator for ONNX frontend.
### Implement
- Using avg_pool operator to compute LRN
- Pseudocode:
```
def local_response_norm(input, size, alpha, beta, k):
dim = input.dim()
check_only_support_3D_4D()
div = input.mul(input)
div = expand_dim(div, 1)
pad_len = size // 2
if dim == 3:
div = avg_pool2d(div,
(size, 1),
stride=1,
padding=(pad_len, 0, pad_len, 0))
else:
div = avg_pool3d(div,
(size, 1, 1),
stride=1,
padding=(pad_len, 0, 0, pad_len, 0, 0))
div = squeeze_dim(div, 1)
div = div.mul(alpha).add(k).pow(beta)
return input / div
```
### Reference
Implement same as Pytorch:
https://discuss.pytorch.org/t/why-use-avgpool2d-and-avgpool3d-in-local-response-norm/97236
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