Understanding PyTorch's Mode Function For Tensors
mode() function in PyTorch returns the most frequently appeared elements and their indices from a tensor. It can handle tensors of different dimensions and data types.
Buy Me a Coffee☕ *Memos: My post explains sum() and nansum(). My post explains prod() and cartesian_prod(). My post explains mean() and nanmean(). My post explains median() and nanmedian(). mode() can get two of the 0D or more D tensors of zero or more mode values(the most frequently appeared elements) and their indices from the 0D or more D tensor of zero or more elements as shown below: *Memos: mode() can be used with torch or a tensor. The 1st argument(input) with torch or using a tensor(Required-Type:tensor of int, float or bool). The 2nd argument with torch or the 1st argument with a...