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Why the mxnet2caffe.py exit when the layer is "running_mean"? #9

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ChaoLi977 opened this issue Nov 12, 2019 · 3 comments
Open

Why the mxnet2caffe.py exit when the layer is "running_mean"? #9

ChaoLi977 opened this issue Nov 12, 2019 · 3 comments

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@ChaoLi977
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Hi, I have run the json2prototxt.py successfully, but when I run the mxnet2caffe.py, it occurs something wrong. The program exits when it meets the layer "mobilenet0_batchnorm0_running_mean". I don't know why it exits and what should I do to convert the mxnet model normally?

@Harryqu123
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@ChaoLi977 Can I know have you solved this issue, as I meet the same issue too. Can I know how do you solve it, many thx

@Harryqu123
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I just realize that there are lines of code exit() in the running_mean and running_var, are they just accidentally put there or are they put there since these two layer still have error?

@zheshipinyinMc
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the name of BNlayer in gluon.nn is "xx_runing_mean", but it is "xx_moving_mean" in mxnet.symbol

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