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mnasnet-pytorch's Issues

About stride's config

In code, the stride's config is like

        # t, c, n, s, k
        [3, 24,  3, 1, 3],  # -> 56x56
        [3, 40,  3, 2, 5],  # -> 28x28
        [6, 80,  3, 2, 5],  # -> 14x14
        [6, 96,  2, 2, 3],  # -> 14x14
        [6, 192, 4, 1, 5],  # -> 7x7
        [6, 320, 1, 2, 3],  # -> 7x7   

But in paper, it seems to be

        # t, c, n, s, k
        [3, 24,  3, 2, 3],  # -> 56x56
        [3, 40,  3, 2, 5],  # -> 28x28
        [6, 80,  3, 2, 5],  # -> 14x14
        [6, 96,  2, 1, 3],  # -> 14x14
        [6, 192, 4, 2, 5],  # -> 7x7
        [6, 320, 1, 1, 3],  # -> 7x7   

the two configs will make quite big differences in speed as well as feature map size
This made me confused, which is correct ?
Many thanks !

hyper params

Thank you for sharing your codes!

  1. Could you also please share your hyper params (such as lr and weight_decay and batchsize)
  2. Did you do data pre-processing as the same as here
  3. And is there any other training skill during your training, since I stuck at Top1=65% when I tried to train it on imagenet.

Thank you again! Appreciate your help!

License?

Hello,

I noticed you didn't have a license, which makes it hard to do anything but look at this code without potentially get into trouble. If I may ask, would it be possible for you to add one?

Thanks,
Charlie West

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