parameters: (vec: Tensor, vec_dim: str or tuple or list or Shape = None)
return_statement: return vec / vec_abs(vec, vec_dim=vec_dim)
docstring: Normalizes the vectors in `vec`. If `vec_dim` is None, the combined channel dimensions of `vec` are interpreted as a vector.
docstring_summary: Normalizes the vectors in `vec`. If `vec_dim` is None, the combined channel dimensions of `vec` are interpreted as a vector.
docstring_tokens: Normalizes the vectors in vec . If vec_dim is None the combined channel dimensions of vec are interpreted as a vector .
function: def vec_normalize(vec: Tensor, vec_dim: str or tuple or list or Shape = None):
      """ Normalizes the vectors in `vec`. If `vec_dim` is None, the combined channel dimensions of `vec` are interpreted as a vector. """
      return vec / vec_abs(vec, vec_dim=vec_dim)
function_tokens: def vec_normalize ( vec : Tensor , vec_dim : str or tuple or list or Shape = None ) : return vec / vec_abs ( vec , vec_dim = vec_dim )