Add some very simple sum benchmark. (#108)

* Add some very simple sum benchmark.

* Rename the file.

1 files changed, 0 insertions, 34 deletions

diff --git a/candle-core/examples/cuda_basics.rs b/candle-core/examples/cuda_basics.rs
deleted file mode 100644
index 6050d793..00000000
--- a/candle-core/examples/cuda_basics.rs
+++ /dev/null
@@ -1,34 +0,0 @@
-#[cfg(feature = "mkl")]
-extern crate intel_mkl_src;
-
-use anyhow::Result;
-use candle::{Device, Tensor};
-
-fn main() -> Result<()> {
-    let device = Device::new_cuda(0)?;
-    let ids = Tensor::new(&[0u32, 2u32, 1u32], &device)?;
-    let t = Tensor::new(&[[0f32, 1f32], [2f32, 3f32], [4f32, 5f32]], &device)?;
-    let hs = Tensor::embedding(&ids, &t)?;
-    println!("> {:?}", hs.to_vec2::<f32>());
-
-    let x = Tensor::new(&[3f32, 1., 4., 1., 5.], &device)?;
-    println!("{:?}", x.to_vec1::<f32>()?);
-    let y = Tensor::new(&[2f32, 7., 1., 8., 2.], &device)?;
-    let z = (y + x * 3.)?;
-    println!("{:?}", z.to_vec1::<f32>()?);
-    println!("{:?}", z.sqrt()?.to_vec1::<f32>()?);
-    let x = Tensor::new(&[[11f32, 22.], [33., 44.], [55., 66.], [77., 78.]], &device)?;
-    let y = Tensor::new(&[[1f32, 2., 3.], [4., 5., 6.]], &device)?;
-    println!("{:?}", y.to_vec2::<f32>()?);
-    let z = x.matmul(&y)?;
-    println!("{:?}", z.to_vec2::<f32>()?);
-    let x = Tensor::new(
-        &[[11f32, 22.], [33., 44.], [55., 66.], [77., 78.]],
-        &Device::Cpu,
-    )?;
-    let y = Tensor::new(&[[1f32, 2., 3.], [4., 5., 6.]], &Device::Cpu)?;
-    println!("{:?}", y.to_vec2::<f32>()?);
-    let z = x.matmul(&y)?;
-    println!("{:?}", z.to_vec2::<f32>()?);
-    Ok(())
-}