nn_softmax2d: Softmax2d module
In torch: Tensors and Neural Networks with 'GPU' Acceleration
nn_softmax2d R Documentation
Softmax2d module
Description
Applies SoftMax over features to each spatial location.
When given an image of Channels x Height x Width, it will
apply Softmax to each location (Channels, h_i, w_j)
Usage
nn_softmax2d()
Value
a Tensor of the same dimension and shape as the input with
values in the range [0, 1]
Shape
Input: (N, C, H, W)
Output: (N, C, H, W) (same shape as input)
Examples
if (torch_is_installed()) {
m <- nn_softmax2d()
input <- torch_randn(2, 3, 12, 13)
output <- m(input)
}
torch documentation built on May 29, 2024, 9:54 a.m.
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| nn_softmax2d | R Documentation |
Softmax2d module
Description
Applies SoftMax over features to each spatial location.
When given an image of Channels x Height x Width, it will
apply Softmax to each location (Channels, h_i, w_j)
Usage
nn_softmax2d()
Value
a Tensor of the same dimension and shape as the input with
values in the range [0, 1]
Shape
Input:
(N, C, H, W)Output:
(N, C, H, W)(same shape as input)
Examples
if (torch_is_installed()) {
m <- nn_softmax2d()
input <- torch_randn(2, 3, 12, 13)
output <- m(input)
}
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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