When setting pooling_type to None or max_pooling, we get a std::bad_alloc error in the first training iteration.
This occured after adding the possibility to use strided convolutions instead of max pooling.
Training now works with strided convolutions but the origin of the error is unknown.
Before adding the strided conovlutions, max_pooling worked.
When setting pooling_type to None or max_pooling, we get a std::bad_alloc error in the first training iteration. This occured after adding the possibility to use strided convolutions instead of max pooling. Training now works with strided convolutions but the origin of the error is unknown. Before adding the strided conovlutions, max_pooling worked.