Comments (5)
jiaxiang-wu
commented on July 20, 2024
Hi @psyyz10 can you take a look at this issue?
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psyyz10
commented on July 20, 2024
@BowieHsu Hi, yes, for mobilenet v2, the channel selection is slow, and for other networks the speed is ok. We will improve that by a further GPU implementation, please wait some days.
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BowieHsu
commented on July 20, 2024
@psyyz10 many thanks, so if i rewrite all those numpy code using tensorflow op, the channel selection speed should be improved a lot, am i right?
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psyyz10
commented on July 20, 2024
@BowieHsu Yes of course, if you can do that, your contributions are very welcome.
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jiaxiang-wu
commented on July 20, 2024
In pull request #84, we provide a GPU-based implementation for channel pruning algorithms. Numpy code is now replaced by TensorFlow operations.
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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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