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Hi, Author,
Thank you for the sharing. I am confused about why you use 5 different resolutions and the same convolutional network. And why you choose this convolutional network architecture?
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Hello!
Thank you for the repo. The paper mentions that the private encoders apply a position-wise MLP
with parameter to encode input X. Also, M independent temporal convolutions are applied with va…
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The convolution method in function forward is wrong, x=x.permute(0,2,1)
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Hi, I came across your winograd convolution article at https://antkillerfarm.github.io/dl%20acceleration/2019/07/19/DL_acceleration.html
May I know what are ß0, ß1 and ß2 ?
![winograd_antkillerf…
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There are mainly two ways of dealing with raw IACT images captured by cameras made of hexagonal lattices of photo-multipliers. You can either transform the hexagonal camera pixels to square image pixe…
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Hi,
https://www.youtube.com/watch?v=z3PaGIQTFSE greatly explains efficient spatial smoothing using H3 hexagons and convolutions.
Is `experimentalH3ToLocalIj` the convolution suitable coordinate …
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Art?
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How exactly is ResNet fully convolutional?
In the original implementation, there is fc layer at the end...
It'd be cool to make it fully convolutional though :)
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## Description
Is there any guidance for Q-DQ node placement when using LayerNorm? For example, if I have a convolution followed by a LayerNorm, would I put Q-DQ nodes before the LayerNorm? I am ho…
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The conv_spec function does not implement convolution:
```python
def conv_spec(a, b):
out = np.zeros(*a.shape)
len = b.shape[0]
for i in range(a.shape[0]):
out[i] = sum([a[…