nn_init_eye_: Eye initialization
In torch: Tensors and Neural Networks with 'GPU' Acceleration
nn_init_eye_ R Documentation
Eye initialization
Description
Fills the 2-dimensional input Tensor with the identity matrix.
Preserves the identity of the inputs in Linear layers, where as
many inputs are preserved as possible.
Usage
nn_init_eye_(tensor)
Arguments
tensor
a 2-dimensional torch tensor.
Examples
if (torch_is_installed()) {
w <- torch_empty(3, 5)
nn_init_eye_(w)
}
torch documentation built on June 7, 2023, 6:19 p.m.
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| nn_init_eye_ | R Documentation |
Eye initialization
Description
Fills the 2-dimensional input Tensor with the identity matrix.
Preserves the identity of the inputs in Linear layers, where as
many inputs are preserved as possible.
Usage
nn_init_eye_(tensor)
Arguments
tensor |
a 2-dimensional torch tensor. |
Examples
if (torch_is_installed()) {
w <- torch_empty(3, 5)
nn_init_eye_(w)
}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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