torch_inverse function

Inverse

torch_inverse(self)

Arguments

• self: (Tensor) the input tensor of size $(*, n, n)$ where * is zero or more batch dimensions

Note

Irrespective of the original strides, the returned tensors will be
transposed, i.e. with strides like `input.contiguous().transpose(-2, -1).stride()`

inverse(input, out=NULL) -> Tensor

Takes the inverse of the square matrix input. input can be batches of 2D square tensors, in which case this function would return a tensor composed of individual inverses.

Examples

if (torch_is_installed()) {
## Not run:

x = torch_rand(c(4, 4))
y = torch_inverse(x)
z = torch_mm(x, y)
z
torch_max(torch_abs(z - torch_eye(4))) # Max non-zero
# Batched inverse example
x = torch_randn(c(2, 3, 4, 4))
y = torch_inverse(x)
z = torch_matmul(x, y)
torch_max(torch_abs(z - torch_eye(4)$expand_as(x))) # Max non-zero
## End(Not run)

}