Torch.linspace() Explained In 60 Characters
torch.linspace(start, end, steps) creates a 1D tensor of evenly spaced values between start & end (inclusive). Optional args: dtype, device, requires_grad, & out.
Buy Me a Coffee☕ *Memos: My post explains arange(). My post explains logspace(). linspace() can create the 1D tensor of the zero or more integers, floating-point numbers or complex numbers evenly spaced between start and end(start<=x<=end) as shown below: *Memos: linspace() can be used with torch but not with a tensor. The 1st argument with torch is start(Required-Type:int, float, complex or bool). *The 0D tensor of int, float, complex or bool also works. The 2nd argument with torch is end(Required-Type:int, float, complex or bool). *The 0D tensor of int, float, complex or bool also works....