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First call `mlir-opt` for the sparsifier to generate GPU code and dump the pass pipeline (I'm omitting the mlir input file, reproducers contain it):
```
mlir-opt --sparsifier="enable-runtime-library…
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Discussion thread for ideas to improve PyVRP's performance. Could be low-level stuff, like better code optimisation, smaller data types, and/or caching. Or a smarter data structure, better algorithm, …
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hello,Tom
很棒的工作!
请问PLE训练的效果和论文里的一致么?我训练时差的挺多(loss没有用论文里的loss)
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Hello,
I tried to execute the adapt jupyter code via slurm and got this error:
filtered out 15863 cells that have less than 50 counts
filtered out 12 cells that have more than 3000 counts
filter…
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For us to evaluate sparsification results, we need to evaluate the performance of each inference step: relevance and kpi-extraction.
- As a part of this issue, create a notebook called benchmarks…
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I use my own data to train a model, but its size is 3X larger than the default `rnnoise_data.c`. The difference between the two models is the number of weights in GRUs. I used default settings in the …
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### 🚀 Descirbe the improvement or the new tutorial
I use torch.nn.utils.prune as prune to prune the model, then I use torchprofile.profile_macs() to calculate the macs of Pruned_model, but I find the…
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Hi,
This is a separate ticket from the previous discussion on #544. I am trying to fit a MPI potential using the latest version of gap_fit, strictly following the workflow discussed in previous tic…
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I would like to turn an existing convolutional neural network (ResNet) into a sparse model. This model contains `torch.nn.Conv2d` but not `torch.nn.Linear`. Does `sten` support this operation?
I ch…