Understanding Linalg.vector_norm() In PyTorch
Explained: linalg.vector_norm() in PyTorch for vector norms (L0, L1, L2, etc.) with optional arguments like dim and dtype.
Buy Me a Coffee☕ *Memos: My post explains linalg.norm(). My post explains linalg.matrix_norm(). linalg.vector_norm() can get the 0D or more D tensor of the one or more elements computed with vector norm from the 0D or more D tensor of zero or more elements as shown below: *Memos: linalg.vector_norm() can be used with torch but not with a tensor. The 1st argument with torch is input or x(Required-Type:tensor of float or complex): *Memos: It must be the 0D or more D tensor of zero or more elements. A complex tensor returns a float tensor even if dtype=torch.complex64 is set to linalg.vector...