Accuracy difference between pytorch model and tensorflow model

[akshshu]

bagnet33 pytorch result on a image

[('Labrador retriever', 96.07062530517578),
('Saluki, gazelle hound', 3.3289875984191895),
('golden retriever', 0.33122718334198),
('bull mastiff', 0.11044301837682724),
('Great Dane', 0.04927573725581169)]

bagnet33 tensorflow result on the same image
('n02099712', 'Labrador_retriever', 28.739027)
('n02091831', 'Saluki', 25.376663
('n02099601', 'golden_retriever', 23.068756)
('n02108422', 'bull_mastiff', 21.97139)
('n02109047', 'Great_Dane', 21.164375)

These result were produced by resizing image to (224,224)
The difference persist on bagnet17 as well.
Is this difference expected?
The image used is attached

.

[akshshu]

???