Understanding PyTorch's Mul() Function For Efficient Multiplication
mul() in PyTorch: element-wise multiplication of tensors/scalars with support for int, float, complex & bool data types.
Buy Me a Coffee☕ *Memos: My post explains add(). My post explains sub(). My post explains div(). My post explains remainder(). My post explains fmod(). mul() can do multiplication with two of the 0D or more D tensors of zero or more elements or scalars or the 0D or more D tensor of zero or more elements and a scalar. getting the 0D or more D tensor of zero or more elements as shown below: *Memos: mul() can be used with torch or a tensor. The 1st argument(input) with torch(Type:tensor or scalar of int, float, complex or bool) or using a tensor(Type:tensor of int, float, complex or bool)(Req...