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authorlaurent <laurent.mazare@gmail.com>2023-06-22 11:01:49 +0100
committerlaurent <laurent.mazare@gmail.com>2023-06-22 11:01:49 +0100
commit87a37b3bf3b6fd5034269c10c21c8f91e0223eb0 (patch)
tree7a25c28df9bb0eda94a89a61da95c8cdf0f55c06 /examples/cuda_basics.rs
parent083ced4428819f123ce8549ead9163055ac1ac64 (diff)
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Retrieve data from the gpu.
Diffstat (limited to 'examples/cuda_basics.rs')
-rw-r--r--examples/cuda_basics.rs10
1 files changed, 6 insertions, 4 deletions
diff --git a/examples/cuda_basics.rs b/examples/cuda_basics.rs
index 0a4825fa..046091a3 100644
--- a/examples/cuda_basics.rs
+++ b/examples/cuda_basics.rs
@@ -1,12 +1,14 @@
use anyhow::Result;
-use candle::{Device, Tensor};
+use candle::{DType, Device, Tensor};
fn main() -> Result<()> {
let device = Device::new_cuda(0)?;
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 * 3.)?;
- println!("{:?}", z.to_vec1::<f32>()?);
+ let x = Tensor::new(&[2f32, 7., 1., 8., 2.], &device)?;
+ let y = (x * 3.)?;
+ println!("{:?}", y.to_vec1::<f32>()?);
+ let x = Tensor::ones((3, 2), DType::F32, &device)?;
+ println!("{:?}", x.to_vec2::<f32>()?);
Ok(())
}