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Hello there,
I am trying to implement an iterative pruning process of the timm models.
The following code works great when iterative steps are small (i.e. up to ~30-40) but then suddenly break …
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Currently, each conversation turn includes the full chat history, increasing token usage. I propose omitting intermediate tool-related messages, replacing them with placeholders like "DELETED FOR CONV…
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**Step 2**: Prune the models (SECOND as example, on 8 GPUs)：
**How long does it take for you to fall on the dataset once during the pruning iteration process?**
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## Background
**[Neural Sparse](https://opensearch.org/docs/latest/search-plugins/neural-sparse-search/)** is a semantic search method which is built on native Lucene inverted index. The documents…
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Hello.
I have made good use of the pruning scripts for YOLOv8, and was wondering if there will be a new examples script for YOLOv10?
I am happy to collaborate (i.e. on Slack / this Issue) with a…
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First of all, I would like to sincerely thank you for this library. It works very well for our needs.
In our use case, we are interested in finding a single optimal change point (based on a cost fu…
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Reviewal of Units that possibly serve no current role or are a duplicate of other unit that already exist.
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Hi. I am trying to prune MViTv2 with random pruning with the following code
```python
import torch
import timm
from timm.models.mvitv2 import MultiScaleAttention, MultiScaleVit as MViT
import tor…
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以下を別の$`n,N`$の各サンプルに対して$`K`$を変化させつつ報告していただきたいです。
- 実行に使った総メモリ
他に良いものがなければ valgrind の massifツール (or gperftools の heap_profile) を使ってもらえると助かります。ただし、結構時間がかかると思うので、サイズが大きいものに関してはもっと簡易的な計り方（`usr/bin/ti…
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## CI failure
- Link: https://github.com/cilium/cilium/actions/runs/12055059978/job/33614548723
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