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Hello I do not see anything that will make it impossible to use this package with 3d convolutions (for example for each voxel in CT scan I want to calculate the mean and standard deviation of its ne…
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`unitwise_norm`, used by `adaptive_grad_clip`, only supports a few values of `ndim`, and raises ValueError when applied to a conv3d kernel since `ndim=5` (HWDIO). Would it be acceptable to add an opti…
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Thank you for inspiring me with your paper!The model I am currently using uses mamba module. A class U-net that uses mamba, can I apply your DAC module?I would like to ask whether the DAC module propo…
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Similar to #3, I would like to apply this code to networks with 3D convolutions. The math is exactly the same, of course, but one needs to collect outputs along three dimensions instead of just two.
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We got some weird deadlock when trying to run a simple 3d conv with blocks, most likely from the halo exchange:
```
all_inspector.cc:107] One or more tensors were submitted to be reduced, gathered o…
EiffL updated
3 years ago
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Hi,
Great work so far, this is super helpful!
I do a lot of work with 3D images, and I know KNet supports 5D arrays. How difficult would it be to implement an additional dimension?
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The following in gfx906_64.HIP.fdb.txt is 3d convolutions,but using `NCHW` layout.
![image](https://user-images.githubusercontent.com/63989327/145926525-2e955d3f-8d14-47db-b8eb-ff0ec1446f18.png)
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## 🐛 Bug
The following simple script: https://gist.github.com/vlasenkov/b3aa7c12570fe0056fca3421453470ca crashes with the following traceback:
```
Traceback (most recent call last):
File "mode…
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Hi, Author. Could you please explain or give me directions to where I can better understand the approach of Circular convolutions (ring CNN). I would also like to understand better how your was able t…
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Hello, I trained on my two-category semantic segmentation task. I found that the first few pieces of data trained well, but the performance will be very poor later. I output the gradient information…