Iter_size in caffe solver enables to perform backpropagation after a number of forward passes defined by the value of iter_size. Hence, allowing an increased batch size without GPU memory restriction.
Is there an equivalent in caffe2 that can be used with optimizer.build_sgd?
Iter_size in caffe solver enables to perform backpropagation after a number of forward passes defined by the value of iter_size. Hence, allowing an increased batch size without GPU memory restriction. Is there an equivalent in caffe2 that can be used with optimizer.build_sgd?