ShuffleNetV2
ShuffleNetV2是Shufflenet的升级版本,作为轻量级网络,通过遵循降低网络的碎片程度、减少element-wise等设计准则,在保证精度的前提下进一步追求高性能。
Mirror Metadata
- Hugging Face repo: shadow-cann/hispark-modelzoo-shufflenetv2
- Portal model id: j3mlrvvlvs00
- Created at: 2026-03-16 20:19:07
- Updated at: 2026-03-26 09:35:38
- Category: 计算机视觉
Framework
- PyTorch
Supported OS
- OpenHarmony
- Linux
Computing Power
- Hi3403V100 SVP_NNN
- Hi3403V100 NNN
Tags
- 分类
Detail Parameters
- 输入: 224x224
- 参数量: 2.271M
- 计算量: 0.298GFLOPs
Files In This Repo
- shufflenetv2_om-A8W8.om (编译模型 / A8W8)
- shufflenetv2.om (编译模型 / FP16; 编译模型 / OM 元数据 / A8W8)
- shufflenetv2_x1-5666bf0f80.pth (源模型 / 源模型下载; 源模型 / 源模型元数据)
- shufflenetv2.onnx (源模型 / 源模型下载)
- SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)
Upstream Links
- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=j3mlrvvlvs00
- Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/ShuffleNetV2
- License reference: https://github.com/pytorch/vision/blob/v0.14.0/LICENSE
Notes
- This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
- File ownership follows the portal card mapping, not just filename similarity.
- Cover image: 1700942607089666_shu.png
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