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Hi, I just want to use your code to convert PNASNet_mobile models to PyTorch.
After modifiing your code with both PNASNet.pytorch and PNASNet.TF,
I find that the accuracy is slow on converted models with PNASNet.pytorch Test: [50000/50000] Prec@1 0.710 Prec@5 0.901
But In PNASNet.TF, the accuracy is 74.2
The shape and dict test is pass. But the Check 2 failed.
Could you give me some hints on converting the PNASNet-mobile models?
Thanks
The text was updated successfully, but these errors were encountered:
Hi, I just want to use your code to convert PNASNet_mobile models to PyTorch.
After modifiing your code with both PNASNet.pytorch and PNASNet.TF,
I find that the accuracy is slow on converted models with PNASNet.pytorch
Test: [50000/50000] Prec@1 0.710 Prec@5 0.901
But In PNASNet.TF, the accuracy is 74.2
The shape and dict test is pass. But the Check 2 failed.
Could you give me some hints on converting the PNASNet-mobile models?
Thanks
The text was updated successfully, but these errors were encountered: