Closed yuanlunxi closed 3 years ago
Sorry, I do not quite understand your problem? Could you please elaborate more. Which dataset are you using?
I used the dataset of myself,the dataset is correct, because the result of training process is correct.
in the fast gan-compression process, when i export the compressed the model from the supernet,should i use the super_mobile_sapde or mobile_spade?
the test output of head0 of compressed gaugan is very huge,
so is there wrong step cause by me in the export process?
I bet there is a problem with input data normalization in your code (preprocessing of your dataset for compression)
I bet there is a problem with input data normalization in your code (preprocessing of your dataset for compression)
the input is normalized
I find the output of is very huge
i find the problem, when the self.training in the SuperSynchronizedBatchNorm2d is set True ,the result of test is right. but can anyone explain this ?
@yuanlunxi
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