Applies a 2D adaptive average pooling over an input signal composed of several input planes.
The output is of size H x W, for any input size. The number of output features is equal to the number of input planes.
nn_adaptive_avg_pool2d(output_size)
output_size |
the target output size of the image of the form H x W.
Can be a tuple (H, W) or a single H for a square image H x H.
H and W can be either a |
if (torch_is_installed()) {
# target output size of 5x7
m <- nn_adaptive_avg_pool2d(c(5,7))
input <- torch_randn(1, 64, 8, 9)
output <- m(input)
# target output size of 7x7 (square)
m <- nn_adaptive_avg_pool2d(7)
input <- torch_randn(1, 64, 10, 9)
output <- m(input)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.