Applies a 1D adaptive max pooling over an input signal composed of several input planes.
The output size is H, for any input size. The number of output features is equal to the number of input planes.
nn_adaptive_max_pool1d(output_size, return_indices = FALSE)
output_size |
the target output size H |
return_indices |
if |
if (torch_is_installed()) {
# target output size of 5
m <- nn_adaptive_max_pool1d(5)
input <- torch_randn(1, 64, 8)
output <- m(input)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.