mirror of
https://github.com/huggingface/candle.git
synced 2025-06-17 11:08:52 +00:00
c297a50960
* Fix some rebase issues. * Use mkl instead. * Use mkl in bert. * Add the optional mkl feature. * Conditional compilation based on the mkl feature. * Add more mkl support.
35 lines
1.2 KiB
Rust
35 lines
1.2 KiB
Rust
#[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(())
|
|
}
|