use candle::{DType, Device, Result, Tensor};

#[test]
fn add() -> Result<()> {
    let tensor = Tensor::zeros((5, 2), DType::F32, Device::Cpu);
    let (dim1, dim2) = tensor.shape().r2()?;
    assert_eq!(dim1, 5);
    assert_eq!(dim2, 2);
    let tensor = Tensor::new([3f32, 1., 4.].as_slice(), Device::Cpu)?;
    let dim1 = tensor.shape().r1()?;
    assert_eq!(dim1, 3);
    let content: Vec<f32> = tensor.to_vec1()?;
    assert_eq!(content, [3., 1., 4.]);
    Ok(())
}