chore: formatting

Author: pixelspark

wonnx/tests/localresponsenormalization.rs

@@ -9,7 +9,11 @@ fn local_response_normalization() {
     let batches = 1;
     let width_height: usize = 3;
     let channels: usize = 4;
-    let data: Vec<f32> = [ 1.,1.,2.,4.,  2.,2.,1.,2., 3.,1.,2.,1., 4.,2.,3.,5., 3.,3.,2.,2., 6.,2.,3.,1., 7.,3.,4.,2., 8.,4.,3.,2., 9.,3.,4.,4.].to_vec();
+    let data: Vec<f32> = [
+        1., 1., 2., 4., 2., 2., 1., 2., 3., 1., 2., 1., 4., 2., 3., 5., 3., 3., 2., 2., 6., 2., 3.,
+        1., 7., 3., 4., 2., 8., 4., 3., 2., 9., 3., 4., 4.,
+    ]
+    .to_vec();
 
     let shape = vec![
         batches as i64,
@@ -20,21 +24,22 @@ fn local_response_normalization() {
     input_data.insert("X".to_string(), data.as_slice().into());
 
     let bn_model = model(graph(
-        vec![tensor("X", &shape)],  // input
-        vec![tensor("Y", &shape)],  // output
-        vec![],                     // infos
-        vec![],                     // intializers
-        
+        vec![tensor("X", &shape)], // input
+        vec![tensor("Y", &shape)], // output
+        vec![],                    // infos
+        vec![],                    // intializers
         // nodes
         vec![node(
             vec!["X"],
             vec!["Y"],
             "lrn",
             "LRN",
-            vec![   attribute("alpha", 1.0),
-                    attribute("beta",  1.0),
-                    attribute("bias",  0.0),
-                    attribute("size",  2)],
+            vec![
+                attribute("alpha", 1.0),
+                attribute("beta", 1.0),
+                attribute("bias", 0.0),
+                attribute("size", 2),
+            ],
         )],
     ));
 
@@ -47,6 +52,10 @@ fn local_response_normalization() {
 
     common::assert_eq_vector(
         out_y.try_into().unwrap(),
-        &[1.0, 0.4, 0.2, 0.5, 0.5, 0.8, 0.4, 1.0, 0.6, 0.4, 0.8, 2.0, 0.4, 0.30769232, 0.1764706, 0.39999998, 0.33333334, 0.4615385, 0.5, 1.0, 0.3, 0.30769232, 0.6, 2.0, 0.2413793, 0.24, 0.4, 1.0, 0.2, 0.32, 0.4615385, 1.0, 0.2, 0.24, 0.25, 0.5],
+        &[
+            1.0, 0.4, 0.2, 0.5, 0.5, 0.8, 0.4, 1.0, 0.6, 0.4, 0.8, 2.0, 0.4, 0.30769232, 0.1764706,
+            0.39999998, 0.33333334, 0.4615385, 0.5, 1.0, 0.3, 0.30769232, 0.6, 2.0, 0.2413793,
+            0.24, 0.4, 1.0, 0.2, 0.32, 0.4615385, 1.0, 0.2, 0.24, 0.25, 0.5,
+        ],
     );
-}
+}