Hi,
When trying to send an image through SqueezeNet loaded from the PyTorch models, I get a different output from when I send the same image through a SqueezeNet in TensorFlow. Currently, I am thinking that it has something to do with how the weights for the various layers are initialized, but I am not sure. Any suggestions?
For TensorFlow SqueezeNet, I am using the following implementation: https://github.com/amiratag/InterpretationFragility/blob/master/modified_squeezenet.py 43
For PyTorch SqueezeNet, the implementation is here: https://github.com/pytorch/vision/blob/master/torchvision/models/squeezenet.py 11
Thank you so much.