torch_logaddexp2: Logaddexp2
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/gen-namespace.R
torch_logaddexp2 R Documentation
Logaddexp2
Description
Logaddexp2
Usage
torch_logaddexp2(self, other)
Arguments
self
(Tensor) the input tensor.
other
(Tensor) the second input tensor
logaddexp2(input, other, *, out=None) -> Tensor
Logarithm of the sum of exponentiations of the inputs in base-2.
Calculates pointwise \log_2\left(2^x + 2^y\right). See
torch_logaddexp() for more details.
torch documentation built on May 29, 2024, 9:54 a.m.
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View source: R/gen-namespace.R
| torch_logaddexp2 | R Documentation |
Logaddexp2
Description
Logaddexp2
Usage
torch_logaddexp2(self, other)
Arguments
self |
(Tensor) the input tensor. |
other |
(Tensor) the second input tensor |
logaddexp2(input, other, *, out=None) -> Tensor
Logarithm of the sum of exponentiations of the inputs in base-2.
Calculates pointwise \log_2\left(2^x + 2^y\right). See
torch_logaddexp() for more details.
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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