RuntimeError: Given groups=1, weight of size [16, 128, 1, 1], expected input[32, 64, 126, 126] to have 128 channels, but got 64 channels instead
The above images are the errors that i got while trying to run a SqueezeNet model , i have tried various means to solve but no idea where it has gone wrong , i have taken the implementation from
Could anyone help me by telling where i went wrong .
The images dimensions are in batch of 16 → [16,3,512,512]
The error seems to be coming with the second hidden layer somewhere …