Comments (4)
Yes, it will be great!
I mean prune models from README
from pocketflow.
Hi, do you mean to provide multiple pre-trained pruned models for each network (ResNet-18 or MobileNet-v1/v2), one per overall pruning ratio (or acceleration ratio)?
from pocketflow.
Since there are so many possible pruning ratios, and different people may have different target acceleration ratio, we think it is less meaningful to provide multiple pre-trained pruned models for each network. Still, it is possible that we provide one pre-trained pruned model for each network.
P.S.: If you have trained multiple pruned networks, we welcome you to share them with the community.
from pocketflow.
@jiaxiang-wu yes it will be great to provide few pretrained pruned models
from pocketflow.
Related Issues (20)
- cifar10_channel pruned 的示例,通道剪枝(channel_pruning) 导出修改了计算图之后,速度比之前的更慢了! HOT 1
- Can the compression method provided by pocketflow be applied to MASK R-CNN? HOT 1
- QQ group HOT 1
- 我可以只用模型压缩部分么?
- TypeError: forward_train() missing 1 required positional argument: 'objects'
- Missing 1 required positional argument in constructor : data_format
- Download Pretrain Model But Get 502 Bad Gateway Error HOT 1
- You must feed a value for placeholder tensor 'model/input_1' with dtype float and shape [?,160,240,1]
- Question about export_chn_pruned_tflite_model.py HOT 1
- TF Version compatibility HOT 2
- Failed to create session
- Is it possible to compress the keras model with Pocket Flow
- Question about UniformLearner HOT 2
- Default tensorboard log output is huge
- FRCNN with VOC: Cannot batch tensors with different shapes in component 1.
- IndexError: list index out of range HOT 3
- Other issues:
- auto 通道裁剪问题
- test
- TF-Plus for Multi-GPU Training
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from pocketflow.