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**System information**
- TensorFlow version (you are using): 2.5.0
- Are you willing to contribute it (Yes/No): Yes
**Motivation**
Deciding on where to have high filter/channel counts in con…
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Hi, thank you for publishing this amazing work about the structural pruning on diffusion models. I wondered if you are also publishing the code for diff-pruning and training on LDM. The current ldm-pr…
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## Description
I have 2 model yolov8s and pruned model yolov8s with smaller size. For the second model, I pruned its channel using structural pruning method of [Torch pruning](https://github.com/Va…
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Small-world-based Structural Pruning for Efficient FPGA Inference of Deep Neural Networks
Conference: ICSICT 2020
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Parsing will occur in multiple rounds (at least two). First round is done using first-order features. Subsequent rounds use the cube pruning approach described in the following papers:
- Hao Zhang; Ry…
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## **Summary**
This is a design discussion RFC for contributing some device-agnostic compression algorithms, like the post training quantization(QDQ quant format) and structural sparsity supported …
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Hi,
Great work first!
I am confused with the model tuning part.
According to the code, it seemed that you used the lora method.
This, in my opinion, will destroy the sparsity you have made i…
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Hello, I see from your paper that you used PAGCP on the NYUv2 dataset, but in the code here you only have implementation for VOC and COCO, is it possible to get the implementation for NYUv2? If not, a…
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We should add structural plasticity as an option, but we need to consider how exactly to do it. One case we considered is relatively simple to implement and could probably be done with minor changes t…
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Currently, the operator doesn't reject unknown fields in the CR which makes it error-prone. We need to validate this.