After training, the network parameters are fixed. So each time the generation starts from an all zero tensor, the output is the same, so the network generates the same pixels all the time. I checked the function sample_from_model(), there is no randomness. So my question is how to make the network generate different pictures while starting from the same all zero tensor？
After training, the network parameters are fixed. So each time the generation starts from an all zero tensor, the output is the same, so the network generates the same pixels all the time. I checked the function sample_from_model(), there is no randomness. So my question is how to make the network generate different pictures while starting from the same all zero tensor？