use crate as burn;
use crate::config::Config;
use crate::module::Module;
use crate::module::{Content, DisplaySettings, ModuleDisplay};
use crate::tensor::backend::Backend;
use crate::tensor::Tensor;
use crate::tensor::module::adaptive_avg_pool1d;
#[derive(Config)]
pub struct AdaptiveAvgPool1dConfig {
pub output_size: usize,
}
#[derive(Module, Clone, Debug)]
#[module(custom_display)]
pub struct AdaptiveAvgPool1d {
pub output_size: usize,
}
impl ModuleDisplay for AdaptiveAvgPool1d {
fn custom_settings(&self) -> Option<DisplaySettings> {
DisplaySettings::new()
.with_new_line_after_attribute(false)
.optional()
}
fn custom_content(&self, content: Content) -> Option<Content> {
content.add("output_size", &self.output_size).optional()
}
}
impl AdaptiveAvgPool1dConfig {
pub fn init(&self) -> AdaptiveAvgPool1d {
AdaptiveAvgPool1d {
output_size: self.output_size,
}
}
}
impl AdaptiveAvgPool1d {
pub fn forward<B: Backend>(&self, input: Tensor<B, 3>) -> Tensor<B, 3> {
adaptive_avg_pool1d(input, self.output_size)
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn display() {
let config = AdaptiveAvgPool1dConfig::new(3);
let layer = config.init();
assert_eq!(
alloc::format!("{}", layer),
"AdaptiveAvgPool1d {output_size: 3}"
);
}
}