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I recently saw commit 39088fb by @phannebohm, which introduced the derivatives of mod and rem. I am not sure what is the point of providing derivatives of functions that cannot be differentiated. This…
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## ❓ Questions on how to use PyTorch3D
Does pytorch3d currently have an implementation to calculate the intersection for two given volumes?
The iou3d.py code may be useful but its currently li…
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- https://arxiv.org/abs/2104.03059
- 2021
ニューラルネットワークは、高解像度の画像を処理するために、大量のメモリと計算機を必要としますが、画像のごく一部だけが実際にはタスクに役立つ場合もあります。
本研究では、微分可能なTop-K演算子を用いて、入力の中から最も関連性の高い部分を選択し、高解像度の画像を効率的に処理する手法を提案する。
本手法は…
e4exp updated
3 years ago
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Hi there,
given that I honestly don't know if you've already considered these important aspects in your procedure, it would be really useful to integrate it with pre-autoalignment of tracks processed…
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Hi,
Is there code of DFT+U for molecule in PySCF?
With my best regards,
Junbo
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### 🚀 The feature, motivation and pitch
In the documentation, dtype is often used as a type hint where in actuality only differentiable dtypes are allowed (float and complex). Therefore the request t…
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**Description**
The compiler is marking access to a certain properties as not `Differentiable` in certain cases. In this particular case, the underlying property (protocol) is explicitly marked as co…
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Thanks
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I thought there was no gradient defined in TensorFlow for round?
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Right now Frobenious norm has a flag "differentiable" which chooses between fast and stable QR version and differentiable naive version.
It seems to be easy to manually implement backward pass for …