torch_diagflat function

Diagflat

torch_diagflat(self, offset = 0L)

Arguments

• self: (Tensor) the input tensor.
• offset: (int, optional) the diagonal to consider. Default: 0 (main diagonal).

diagflat(input, offset=0) -> Tensor

• If input is a vector (1-D tensor), then returns a 2-D square tensor with the elements of input as the diagonal.
• If input is a tensor with more than one dimension, then returns a 2-D tensor with diagonal elements equal to a flattened input.

The argument offset controls which diagonal to consider:

• If offset = 0, it is the main diagonal.
• If offset > 0, it is above the main diagonal.
• If offset < 0, it is below the main diagonal.

Examples

if (torch_is_installed()) {

a = torch_randn(c(3))
a
torch_diagflat(a)
torch_diagflat(a, 1)
a = torch_randn(c(2, 2))
a
torch_diagflat(a)
}