nn_init_dirac_: Dirac initialization

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Dirac initialization

Description

Fills the {3, 4, 5}-dimensional input Tensor with the Dirac delta function. Preserves the identity of the inputs in Convolutional layers, where as many input channels are preserved as possible. In case of groups>1, each group of channels preserves identity.

Usage

nn_init_dirac_(tensor, groups = 1)

Arguments

tensor	a {3, 4, 5}-dimensional torch.Tensor
groups	(optional) number of groups in the conv layer (default: 1)

Examples

if (torch_is_installed()) {
## Not run: 
w <- torch_empty(3, 16, 5, 5)
nn_init_dirac_(w)

## End(Not run)

}

torch documentation built on May 29, 2024, 9:54 a.m.