diff --git a/crates/burn-import/src/burn/node/base.rs b/crates/burn-import/src/burn/node/base.rs
index 2727e28e7..88bdebfdb 100644
--- a/crates/burn-import/src/burn/node/base.rs
+++ b/crates/burn-import/src/burn/node/base.rs
@@ -160,6 +160,7 @@ macro_rules! match_all {
             Node::Range(node) => $func(node),
             Node::Reshape(node) => $func(node),
             Node::Resize(node) => $func(node),
+            Node::Scatter(node) => $func(node),
             Node::Slice(node) => $func(node),
             Node::Squeeze(node) => $func(node),
             Node::Sum(node) => $func(node),
@@ -216,6 +217,7 @@ impl<PS: PrecisionSettings> Node<PS> {
             Node::Range(_) => "range",
             Node::Reshape(_) => "reshape",
             Node::Resize(_) => "resize",
+            Node::Scatter(_) => "scatter",
             Node::Slice(_) => "slice",
             Node::Squeeze(_) => "squeeze",
             Node::Sum(_) => "add",
diff --git a/crates/burn-import/src/burn/node/scatter.rs b/crates/burn-import/src/burn/node/scatter.rs
index 628b109e0..43a490986 100644
--- a/crates/burn-import/src/burn/node/scatter.rs
+++ b/crates/burn-import/src/burn/node/scatter.rs
@@ -10,7 +10,7 @@ pub struct ScatterNode {
     pub indices: TensorType,
     pub updates: TensorType,
     pub output: TensorType,
-    axis: usize,
+    pub axis: usize,
 }
 
 impl<PS: PrecisionSettings> NodeCodegen<PS> for ScatterNode {
@@ -47,71 +47,79 @@ impl<PS: PrecisionSettings> NodeCodegen<PS> for ScatterNode {
     }
 }
 
-//#[cfg(test)]
-//mod tests {
-//
-//    use burn::record::FullPrecisionSettings;
-//
-//    use super::*;
-//    use crate::burn::{
-//        graph::BurnGraph,
-//        node::{gather::GatherNode, test::assert_tokens},
-//        ScalarKind, ScalarType, ShapeType, TensorType,
-//    };
-//
-//    #[test]
-//    fn test_codegen_gather() {
-//        let mut graph = BurnGraph::<FullPrecisionSettings>::default();
-//
-//        graph.register(GatherNode::new(
-//            Type::Tensor(TensorType::new_float("tensor1", 2)),
-//            Type::Tensor(TensorType::new_int("tensor2", 1)),
-//            TensorType::new_float("tensor3", 2),
-//            0,
-//        ));
-//
-//        graph.register_input_output(
-//            vec!["tensor1".to_string(), "tensor2".to_string()],
-//            vec!["tensor3".to_string()],
-//        );
-//
-//        let expected = quote! {
-//            use burn::tensor::Int;
-//            use burn::{
-//                module::Module,
-//                tensor::{backend::Backend, Tensor},
-//            };
-//
-//            #[derive(Module, Debug)]
-//            pub struct Model<B: Backend> {
-//                phantom: core::marker::PhantomData<B>,
-//                device: burn::module::Ignored<B::Device>,
-//            }
-//
-//            impl<B: Backend> Model <B> {
-//                #[allow(unused_variables)]
-//                pub fn new(device: &B::Device) -> Self {
-//                    Self {
-//                        phantom: core::marker::PhantomData,
-//                        device: burn::module::Ignored(device.clone()),
-//                    }
-//                }
-//
-//                #[allow(clippy::let_and_return, clippy::approx_constant)]
-//                pub fn forward(
-//                    &self,
-//                    tensor1: Tensor<B, 2>,
-//                    tensor2: Tensor<B, 1, Int>
-//                ) -> Tensor<B, 2> {
-//                    let tensor3 = tensor1.select(0, tensor2);
-//
-//                    tensor3
-//                }
-//            }
-//        };
-//
-//        assert_tokens(graph.codegen(), expected);
-//    }
+#[cfg(test)]
+mod tests {
+
+    use burn::record::FullPrecisionSettings;
+
+    use super::*;
+    use crate::burn::{
+        graph::BurnGraph,
+        node::{gather::GatherNode, test::assert_tokens},
+        ScalarKind, ScalarType, ShapeType, TensorType,
+    };
+
+    #[test]
+    fn test_codegen_gather() {
+        let mut graph = BurnGraph::<FullPrecisionSettings>::default();
+
+        graph.register(ScatterNode::new(
+            TensorType::new_float("tensor1", 2),
+            TensorType::new_int("tensor2", 2),
+            TensorType::new_float("tensor3", 2),
+            TensorType::new_float("tensor4", 2),
+            0,
+        ));
+
+        graph.register_input_output(
+            vec![
+                "tensor1".to_string(),
+                "tensor2".to_string(),
+                "tensor3".to_string(),
+            ],
+            vec!["tensor4".to_string()],
+        );
+
+        let expected = quote! {
+            use burn::tensor::Int;
+            use burn::{
+                module::Module,
+                tensor::{backend::Backend, Tensor},
+            };
+
+            #[derive(Module, Debug)]
+            pub struct Model<B: Backend> {
+                phantom: core::marker::PhantomData<B>,
+                device: burn::module::Ignored<B::Device>,
+            }
+
+            impl<B: Backend> Model <B> {
+                #[allow(unused_variables)]
+                pub fn new(device: &B::Device) -> Self {
+                    Self {
+                        phantom: core::marker::PhantomData,
+                        device: burn::module::Ignored(device.clone()),
+                    }
+                }
+
+                #[allow(clippy::let_and_return, clippy::approx_constant)]
+                pub fn forward(
+                    &self,
+                    tensor1: Tensor<B, 2>,
+                    tensor2: Tensor<B, 2, Int>,
+                    tensor3: Tensor<B, 2>,
+                ) -> Tensor<B, 2> {
+                    let tensor4 = tensor1.scatter(0, tensor2, tensor3);
+                    tensor4
+                }
+            }
+        };
+
+        //println!(" {} ", graph.codegen());
+        //assert!(false);
+        assert_tokens(graph.codegen(), expected);
+    }
+}
 //
 //    #[test]
 //    fn test_codegen_gather_shape_input() {
@@ -220,4 +228,3 @@ impl<PS: PrecisionSettings> NodeCodegen<PS> for ScatterNode {
 //        assert_tokens(graph.codegen(), expected);
 //    }
 //}
-