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In standard ResNet a BN layer is used, whereas you use LN in sparse convolution as normalization. So when loading weight parameters, where do the parameters of ResNet's BN layer come from?
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The implementation of `unfoldNd` relies on one-hot convolution. This means the convolution kernels are highly sparse. Hence, the code could run faster when using sparse tensors.
Open questions:
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A follow up feature to the support of Binary Sparse Block Codes. See discussion in #146.
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PTv3 and OACNNs both use 3D sparse convolution and do not use KNN, so can we assume that they are both voxel based methods?
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Running `tests/test_spherical_precompute.py::test_transform_inverse_healpix` on a MacOS (`arm64`) runner with Python 3.9 or above generates a segmentation fault [with output](https://github.com/astro-…
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我是一名学生，想要复现文章的代码，我按照代码中的注释使用 BrainGNN_Pytorch 项目中的 01-fetch_data.py 下载了 ABIDE 数据集的 pipeline: cpac，atlas: ho 的数据，将下载的数据放在了 ./input/data/ 文件夹，我将 Phenotypic_V1_0b_preprocessed1.csv 中创建了 Group 列，等于 DX_GRO…
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**Is your feature request related to a problem? Please describe.**
Currently, I want to apply `ndimage.convolve` to my sparse matrix. As my matrix is too sparse, only convolution results in nonzero p…
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See below the code.
```
Collecting pyfai [364 lines of output]
+ meson setup /tmp/pip-install-q28iyqht/pyfai_fb1f494d1245454da3ebea7b246b976a /tmp/pip-install-q28iyqht/pyfai_fb1f494d1245454…
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**Running Environment**
- Ubuntu 19.10, TF 2.1, TF graphics built from repo ~14 days ago.
**Issue**
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- Documentation for the Keras Layer implementations suggests that the layers can be run…
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In Sparse/models/SparseTSF.py, the kernel size of nn.Conv1d() is set to 1 + 2 * self.period_len // 2. As I try to use an odd period_len, It will raise error saying the shape of input x can not match i…