Hi everyone. I have taken a pre trained resnet model. I created a new model with the first few layers(and i also transferred the weights of the first common layers), somewhere around half of the original pre trained model. When I pass an image as an input, the time the new custom model takes to process the image for its layers is more than the whole of resnet takes to process. Is there something wrong ? A smilar thing is hapening when I use alexnet pre trained. I created a new model which comtains only the ‘features’ part of the original alexnet model. The time my new model takes is highly large than the ful alexnet model takes to process… Please help me