Normalize
Performs L_p normalization of inputs over specified dimension.
nnf_normalize(input, p = 2, dim = 2, eps = 1e-12, out = NULL)
input |
input tensor of any shape |
p |
(float) the exponent value in the norm formulation. Default: 2 |
dim |
(int) the dimension to reduce. Default: 1 |
eps |
(float) small value to avoid division by zero. Default: 1e-12 |
out |
(Tensor, optional) the output tensor. If |
For a tensor input of sizes (n_0, ..., n_{dim}, ..., n_k), each
n_{dim} -element vector v along dimension dim is transformed as
v = \frac{v}{\max(\Vert v \Vert_p, ε)}.
With the default arguments it uses the Euclidean norm over vectors along dimension 1 for normalization.
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.