Understanding Exp() And Exp2() In PyTorch
Learn how to use `exp()` and `exp2()` in PyTorch for element-wise exponentiation, returning float tensors unless input is complex.
Buy Me a Coffee☕ *Memos: My post explains log() and log1p(). My post explains log2() and log10(). My post explains expm1() and sigmoid(). exp() can get the 0D or more D tensor of the zero or more elements by ex from the 0D or more D tensor of zero or more elements as shown below: *Memos: exp() can be used with torch or a tensor. The 1st argument(input) with torch or using a tensor(Required-Type:tensor of int, float, complex or bool). There is out argument with torch(Optional-Default:None-Type:tensor): *Memos: out= must be used. My post explains out argument. *A float tensor is returned...