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A question about DL framework #10
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Sorry, I do not fully understand your question.
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Such as channel pruning,weight sparsification,weight quantization,network distillation,multi-GPU training, hyper-parameter optimization. |
TensorFlow is a framework for both training and inference, while ncnn is only for inference on mobile devices. That's why we choose TensorFlow instead of ncnn to implement these methods, since they are all training algorithms for model compression. |
Does PocketFlow's compression methods apply to other training frameworks like PyTorch or Keras? Why choose Tensorflow? |
@3dimensions I also want to ask the same question."Does the optimization apply to other DL framework?", this optimization means "PocketFlow's compression methods". |
@3dimensions @JSnobody |
OK,I got it. |
Closing this issue. Reopen it if there are any further questions. |
I find PocketFlow use Tensorflow.
Is there a strong correlation between your optimization and Tensorflow?
Does the optimization apply to other DL framework?
Why not use NCNN?
Look forward to your reply!
Thansk very much!
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