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(1) When I evaluate `data.prior(x)` using `sirf.STIR.CudaRelativeDifferencePrior` for x in {OSEM, reference solution} for all 4 available data sets I get the results shown below. **It seems that all r…
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Several of our instructions (e.g., `Power` and `IfElse`) differ from the "standard" implementations in Clojush & Propeller (& probably other Push implementations like PyshGP), and we should document t…
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Listing here some ideas for useful things to have examples for, anyone feel free to add
- [ ] How to access/use automatic differentiation derivative information (say, if you loaded in a DESC eq to…
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One possibility for future development in PlasmaPy is adding basic simulation capabilities. At first, the codes can be simple (e.g., 2D resistive MHD on a rectangular grid using finite differences an…
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add variants of stencil-based finite-differences algorithms to calculate finite difference weights , namely as follows:
- [x] [classical fornberg](https://github.com/SciCompResources/LearnSciComp#fea…
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**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): **CentOS Linux release 8.3.2011**
- TensorFlow version and how it was installed (source or binary): **binary**
- Te…
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### 🚀 The feature, motivation and pitch
Discussion motivation: https://discuss.pytorch.org/t/higher-order-gradients-of-ctcloss/35019
Hi! I'm trying to do double backward for CTC loss function an…
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## Description
DVGeometryVSP parallel finite diff derivatives should have zero error compared to doing the same finite differences in serial. However, due to a bug in VSP, some processor's VSP models…
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Hi @avik-pal!
I'm heading towards multi-argument and non-array support in DI, and I'd like to start testing Lux layers. For this I would need two things:
- Suggestions for a test suite of layers s…
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I noticed that the `linearize` function in iosys.py uses finite difference.
I think it wouldn't be too hard to implement an autodiff-based linearize, using autograd, and I propose to do that. I would…