use super::prelude::*;
impl NodeCodegen for onnx_ir::log_softmax::LogSoftmaxNode {
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 dim = self.config.axis.to_tokens();
quote! {
let #output = log_softmax(#input, #dim);
}
}
fn register_imports(&self, imports: &mut BurnImports) {
imports.register("burn::tensor::activation::log_softmax");
}
}
#[cfg(test)]
mod tests {
use super::super::test_helpers::*;
use burn::tensor::DType;
use insta::assert_snapshot;
use onnx_ir::log_softmax::{LogSoftmaxConfig, LogSoftmaxNode, LogSoftmaxNodeBuilder};
fn create_log_softmax_node(name: &str, axis: usize) -> LogSoftmaxNode {
let config = LogSoftmaxConfig::new(axis);
LogSoftmaxNodeBuilder::new(name)
.input_tensor("input", 2, DType::F32)
.output_tensor("output", 2, DType::F32)
.config(config)
.build()
}
#[test]
fn test_log_softmax_forward_last_axis() {
let node = create_log_softmax_node("log_softmax1", 1);
let code = codegen_forward_default(&node);
assert_snapshot!(code, @r"
pub fn forward(&self, input: Tensor<B, 2>) -> Tensor<B, 2> {
let output = log_softmax(input, 1);
output
}
");
}
#[test]
fn test_log_softmax_forward_axis_0() {
let node = create_log_softmax_node("log_softmax1", 0);
let code = codegen_forward_default(&node);
assert_snapshot!(code, @r"
pub fn forward(&self, input: Tensor<B, 2>) -> Tensor<B, 2> {
let output = log_softmax(input, 0);
output
}
");
}
}