use super::prelude::*;
impl NodeCodegen for onnx_ir::shrink::ShrinkNode {
fn inputs(&self) -> &[Argument] {
&self.inputs
}
fn outputs(&self) -> &[Argument] {
&self.outputs
}
fn forward(&self, scope: &mut ScopeAtPosition<'_>) -> TokenStream {
let input = scope.arg(self.inputs.first().unwrap());
let output = arg_to_ident(self.outputs.first().unwrap());
let lambda = self.config.lambda.to_tokens();
let bias = self.config.bias.to_tokens();
quote! {
let #output = burn::tensor::activation::shrink(#input, #lambda, #bias);
}
}
}
#[cfg(test)]
mod tests {
use super::super::test_helpers::*;
use burn::tensor::DType;
use insta::assert_snapshot;
use onnx_ir::shrink::{ShrinkConfig, ShrinkNode, ShrinkNodeBuilder};
fn create_shrink_node(name: &str, lambda: f64, bias: f64) -> ShrinkNode {
let config = ShrinkConfig::new(lambda, bias);
ShrinkNodeBuilder::new(name)
.input_tensor("input", 2, DType::F32)
.output_tensor("output", 2, DType::F32)
.config(config)
.build()
}
#[test]
fn test_shrink_forward_default_lambda_bias() {
let node = create_shrink_node("shrink1", 0.0, 0.0);
let code = codegen_forward_default(&node);
assert_snapshot!(code, @r"
pub fn forward(&self, input: Tensor<B, 2>) -> Tensor<B, 2> {
let output = burn::tensor::activation::shrink(input, 0.0, 0.0);
output
}
");
}
#[test]
fn test_shrink_forward_custom_lambda_bias() {
let node = create_shrink_node("shrink2", 1.0, 0.5);
let code = codegen_forward_default(&node);
assert_snapshot!(code, @r"
pub fn forward(&self, input: Tensor<B, 2>) -> Tensor<B, 2> {
let output = burn::tensor::activation::shrink(input, 1.0, 0.5);
output
}
");
}
}