1 files changed, 9 insertions, 20 deletions
diff --git a/candle-core/examples/basics.rs b/candle-core/examples/basics.rs
index d028db66..efce913a 100644
--- a/candle-core/examples/basics.rs
+++ b/candle-core/examples/basics.rs
@@ -1,29 +1,18 @@
 #[cfg(feature = "mkl")]
 extern crate intel_mkl_src;
 
+#[cfg(feature = "accelerate")]
+extern crate accelerate_src;
+
 use anyhow::Result;
 use candle_core::{Device, Tensor};
 
 fn main() -> Result<()> {
-    let a = Tensor::randn(0f32, 1., (2, 3), &Device::Cpu)?;
-    let b = Tensor::randn(0f32, 1., (3, 4), &Device::Cpu)?;
-    let c = a.matmul(&b)?;
-    println!("{a} {b} {c}");
-
-    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]
-        ]
-    );
+    let inp = Tensor::randn(0f32, 1., (2, 320, 96, 96), &Device::Cpu)?;
+    let w = Tensor::randn(0f32, 1., (320, 320, 3, 3), &Device::Cpu)?;
+    let start = std::time::Instant::now();
+    let res = inp.conv2d(&w, 0, 1);
+    println!("{:?}", start.elapsed());
+    println!("{res:?}");
     Ok(())
 }