Comments (2)
Which hardware platform did you run on? CPU, GPU or TPU?
GhostNet is friendly to CPU, but not well on GPU.
from efficient-ai-backbones.
@iamhankai it runs on GTX1080, but i wonder the performance of ghostnet on some ai chips.
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Related Issues (20)
- PViG用于目标检测 HOT 2
- The train.py file does not support training the ViG model. How exactly should I initialize the ViG model? HOT 1
- [GhostNetV3] Question about Figure 3 HOT 1
- 'SNNMLP' object has no attribute 'module'
- I can‘t find the dataset.py in snn_mlp project
- GhostnetV3实现插值size不匹配 HOT 1
- 训练的loss不收敛 HOT 1
- Batch size in ViG-Ti HOT 1
- ghostnetv3中的rbr_conv和infer_mode找不到 HOT 1
- 关于预训练模型 pvig_s_82.1.pth.tar,是仅保存了权重吗? HOT 1
- ghostnetv3 重参数化
- ghostnet prune HOT 1
- ghostnetv3训练 HOT 2
- 在单卡GPU上训练出现的问题,无法解决 HOT 3
- ghostnetv3的预训练模型在哪里下载呢?求个下载链接
- ghost module替换卷积层 HOT 2
- Question about the paper “ParameterNet: Parameters Are All You Need” HOT 2
- Question for parameternet!! HOT 2
- 关于ViG图卷积部分的问题 HOT 1
- 关于Ghostnetv3训练时间的问题
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