Just to clarify .view() doesn’t resize the tensor, but returns a new one, that uses the same memory, but has different sizes.
Is your use case that you want to have a single Sequential? We discussed having nn.View in new nn, but we decided that it’s better to keep it simple, since it is easily achievable using autograd. If you have a conv part and a fc classifier, you can take an approach with two Sequentials, just like in torchvision.models 110 (link points directly to AlexNet implementation).