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## What type of issue is this?
- [ ] Bug in the code or other problem
- [ ] Inadequate/incorrect documation
- [x] Feature request
LoopVectorization.jl usually does a better job than the julia …
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Congratulations on shipping FNA backward! Looking forward to using it.
On another note: would it be possible to support arbitrary masking?
MaskDiT outperformed regular DiT, with a 70% reduction …
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This issue describes the initial ideas for the overall plan and opens it for discussion. While issue #337 explains some of the details, however, it is more focused on assigning dynamic kernels to deve…
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Really nice work and great idea for the DeepFillv2!! Any plan and expected date to release the DeepFillv2 code?
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## 🐛 Bug
When profiling networks I've found that certain functions seem to cause the CUDA backend to synchronize with the host.
This is similar to #1989 but is applicable to a wider variety…
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At the moment, in regionprops perimeter is for 2D images only, but with the marching cubes functions we have everything to compute the surface areas of connected components.
Also, for perimeters in…
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GPU: 1060 6Gb
`❯ python train.py -c config.json -p train_config.output_directory=outdir
train_config.output_directory=outdir
output_directory=outdir
{'train_config': {'output_directory': 'outdir…
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Hi,
May I know whether I can use sima instead of multi head attention in decoder, to reduce complexity?
Thanks!
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We are working on to increase supports for sparse tensor. Currently we have [summarized current state of sparse tensor](https://github.com/pytorch/pytorch/issues/9674) and listed out [sparse ops to su…
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I would be interested in using pytorch as a backend for xarrays - because:
a) pytorch is very similar to numpy - so the conceptual overhead is small
b) [most helpful] enable having a GPU as the und…