I have a model that was written using models from torchvision and I wanna test the performance with inception-v3. However, with the same model structure and imput images (size 224 x 224), I got the following error.
RuntimeError: Calculated padded input size per channel: (3 x 3). Kernel size: (5 x 5). Kernel size can't be greater than actual input size at /pytorch/aten/src/THNN/generic/SpatialConvolutionMM.c:50

Any thoughts on how to fix this? Thanks!