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Hi,
May I know if it is possible to support block sparse matrix multiplication in the Sparseloop simulator?
Reference Link: [https://developer.nvidia.com/blog/accelerating-matrix-multiplication…
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Hi KeOps team,
I'm moving our PyTorch layer [QuadConv](https://github.com/kvndhrty/QuadConv) to keops to save memory overhead and boost speed. Thus far everything has been fairly smooth, and we see…
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See https://github.com/0Yassine0/COTS.jl/issues/17#issuecomment-2241187824
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### Summary
Sparsity, like quantization, offers increased model performance at the expense of some model quality. However, it is not as widely used / researched as a technique, despite offering sim…
jcaip updated
4 months ago
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I have trained a Recurrent network using an LSTMCell and MLP layers. But when I load the model and the weights for running the benchmark, I get "RuntimeError: output with shape [256] doesn't match the…
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**TL;DR:** Implementing block-sparse operations for faster matrix-multiplication.
Is this something worth adding to PyTorch?
Goals:
1. Faster matrix-multiplication by taking advantage of block-…
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**Describe the issue**:
When I performed speedup on MobileNetv3-small (the official model in torchvision), it went wrong with replacing the Hardswish module. Here are the error messages:
```
Traceb…
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Prior to filing: check that this should be a bug instead of a feature request. Everything supported, including the compatible versions of TensorFlow, is listed in the overview page of each technique. …
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Hi,
I adapted the example available [here]( https://www.kernel-operations.io/keops/_auto_examples/pytorch/plot_grid_cluster_pytorch.html) to perform clustering using keops.
Here is the code:
…