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Hello, thanks for the nice work; well done.
Can the SAM take multiple Bounding boxes as prompts for segmentation? For example, if I draw boxes around two objects, say a building and a dog,
![image](…
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Please make sure that this is a feature request. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature …
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Thank you very much for providing such a good tool!
My problem is that when the input `A` is a 'real' sparse matrix, not the sparse matrix converted from a dense matrix, the `torch.autograd.gradche…
zhf-0 updated
1 month ago
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Our experience with blasé is that sparse tensors offer large speedups, *so long as the pixel coordinates are fixed*.
This fixed pixel coordinate provision make a nearly circular inference: we need …
gully updated
11 months ago
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### 🚀 The feature, motivation and pitch
torch.clamp() fails on sparse tensors using SparseCPU backend. Among other things, this breaks gradient clipping with sparse tensors.
```
import torch
…
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**Scenarios:**
1) Allowing the app to contain implementations to compute metrics. See [#204](https://github.com/lutzroeder/netron/issues/204).
2) Open existing files defined by framework and form…
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This issue is for tracking resources related to sparse tensors and algorithms.
- [Sparse tensor formats](https://arxiv.org/pdf/1804.10112.pdf)
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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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### 🐛 Description of the Bug
I encountered steadily increasing RAM usage when using back propagation with sparse CSR matrices on CPU. Below is the reduced code, which for me produces this behavior. A…
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The first 'iteration' of the Python redesign is starting to converge - see #237. In a rough order of chronology and/or complexity, the next steps to be tackled in future PRs are as follows:
**To Do…