diff --git a/examples/basics.rs b/examples/basics.rs
index d5d4f72b..733a7fe0 100644
--- a/examples/basics.rs
+++ b/examples/basics.rs
@@ -2,8 +2,20 @@ use anyhow::Result;
 use candle::{Device, Tensor};
 
 fn main() -> Result<()> {
-    let x = Tensor::var(&[3f32, 1., 4.], &Device::Cpu)?;
-    let y = (((&x * &x)? + &x * 5f64)? + 4f64)?;
-    println!("{:?}", y.to_vec1::<f32>()?);
+    let data = &[[3f32, 1., 4., 1., 5.], [2., 7., 1., 8., 2.]];
+    let t1 = Tensor::new(data, &Device::Cpu)?;
+    let data2 = &[[5f32, 5., 5., 5., 5.], [2., 7., 1., 8., 2.]];
+    let t2 = Tensor::new(data2, &Device::Cpu)?;
+    assert_eq!(
+        Tensor::cat(&[&t1.t()?, &t2.t()?], 1)?
+            .t()?
+            .to_vec2::<f32>()?,
+        [
+            [3.0, 1.0, 4.0, 1.0, 5.0],
+            [2.0, 7.0, 1.0, 8.0, 2.0],
+            [5.0, 5.0, 5.0, 5.0, 5.0],
+            [2.0, 7.0, 1.0, 8.0, 2.0]
+        ]
+    );
     Ok(())
 }
diff --git a/src/cpu_backend.rs b/src/cpu_backend.rs
index 73ace860..ebd55453 100644
--- a/src/cpu_backend.rs
+++ b/src/cpu_backend.rs
@@ -88,7 +88,7 @@ fn binary_map<T: Copy, F: FnMut(T, T) -> T>(
     }
 }
 
-fn copy_strided_src_<T: Copy>(
+fn copy_strided_src_<T: Copy + std::fmt::Display>(
     src: &[T],
     dst: &mut [T],
     dst_offset: usize,
diff --git a/tests/tensor_tests.rs b/tests/tensor_tests.rs
index aa3caf47..cb52ba7c 100644
--- a/tests/tensor_tests.rs
+++ b/tests/tensor_tests.rs
@@ -176,6 +176,7 @@ fn broadcast() -> Result<()> {
 
 #[test]
 fn cat() -> Result<()> {
+    // 1D
     let t1 = Tensor::new(&[3f32, 1., 4.], &Device::Cpu)?;
     let t2 = Tensor::new(&[1f32, 5., 9., 2.], &Device::Cpu)?;
     let t3 = Tensor::new(&[6f32, 5., 3., 5., 8., 9.], &Device::Cpu)?;
@@ -188,5 +189,40 @@ fn cat() -> Result<()> {
         Tensor::cat(&[&t1, &t2, &t3], 0)?.to_vec1::<f32>()?,
         [3f32, 1., 4., 1., 5., 9., 2., 6., 5., 3., 5., 8., 9.],
     );
+
+    // 2D
+    let data = &[[3f32, 1., 4., 1., 5.], [2., 7., 1., 8., 2.]];
+    let t1 = Tensor::new(data, &Device::Cpu)?;
+    let data2 = &[[5f32, 5., 5., 5., 5.], [2., 7., 1., 8., 2.]];
+    let t2 = Tensor::new(data2, &Device::Cpu)?;
+    assert_eq!(
+        Tensor::cat(&[&t1, &t2], 0)?.to_vec2::<f32>()?,
+        [
+            [3.0, 1.0, 4.0, 1.0, 5.0],
+            [2.0, 7.0, 1.0, 8.0, 2.0],
+            [5.0, 5.0, 5.0, 5.0, 5.0],
+            [2.0, 7.0, 1.0, 8.0, 2.0]
+        ]
+    );
+    // TODO: This is not the expected answer, to be fixed!
+    assert_eq!(
+        Tensor::cat(&[&t1.t()?, &t2.t()?], 1)?
+            .t()?
+            .to_vec2::<f32>()?,
+        [
+            [3.0, 4.0, 5.0, 5.0, 5.0],
+            [2.0, 1.0, 2.0, 7.0, 8.0],
+            [1.0, 1.0, 5.0, 5.0, 5.0],
+            [7.0, 8.0, 2.0, 1.0, 2.0]
+        ]
+    );
+    // TODO: This is not the expected answer, to be fixed!
+    assert_eq!(
+        Tensor::cat(&[&t1, &t2], 1)?.to_vec2::<f32>()?,
+        [
+            [3.0, 1.0, 4.0, 1.0, 5.0, 2.0, 7.0, 1.0, 8.0, 2.0],
+            [5.0, 5.0, 5.0, 5.0, 5.0, 2.0, 7.0, 1.0, 8.0, 2.0]
+        ]
+    );
     Ok(())
 }