nnf_softmin: Softmin
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/nnf-activation.R
nnf_softmin R Documentation
Softmin
Description
Applies a softmin function.
Usage
nnf_softmin(input, dim, dtype = NULL)
Arguments
input
(Tensor) input
dim
(int) A dimension along which softmin will be computed
(so every slice along dim will sum to 1).
dtype
(torch.dtype, optional) the desired data type of returned tensor. If specified, the input tensor is casted to dtype before the operation is performed.
This is useful for preventing data type overflows. Default: NULL.
Details
Note that
Softmin(x) = Softmax(-x)
.
See nnf_softmax definition for mathematical formula.
torch documentation built on May 29, 2024, 9:54 a.m.
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View source: R/nnf-activation.R
| nnf_softmin | R Documentation |
Softmin
Description
Applies a softmin function.
Usage
nnf_softmin(input, dim, dtype = NULL)
Arguments
input |
(Tensor) input |
dim |
(int) A dimension along which softmin will be computed (so every slice along dim will sum to 1). |
dtype |
( |
Details
Note that
Softmin(x) = Softmax(-x)
.
See nnf_softmax definition for mathematical formula.
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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