Renorm — torch_renorm • torch

Renorm

Usage

torch_renorm(self, p, dim, maxnorm)

Arguments

self: (Tensor) the input tensor.
p: (float) the power for the norm computation
dim: (int) the dimension to slice over to get the sub-tensors
maxnorm: (float) the maximum norm to keep each sub-tensor under

Note

If the norm of a row is lower than maxnorm, the row is unchanged

renorm(input, p, dim, maxnorm, out=NULL) -> Tensor

Returns a tensor where each sub-tensor of input along dimension dim is normalized such that the p-norm of the sub-tensor is lower than the value maxnorm

Examples

if (torch_is_installed()) {
x = torch_ones(c(3, 3))
x[2,]$fill_(2)
x[3,]$fill_(3)
x
torch_renorm(x, 1, 1, 5)
}
#> torch_tensor
#>  1.0000  1.0000  1.0000
#>  1.6667  1.6667  1.6667
#>  1.6667  1.6667  1.6667
#> [ CPUFloatType{3,3} ]