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Add some currently broken tests.

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This commit is contained in:
laurent
2023-06-25 14:55:25 +01:00
parent bb6450ebbb
commit 118cc30908
3 changed files with 52 additions and 4 deletions
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18
examples/basics.rs
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@ -2,8 +2,20 @@ use anyhow::Result;
use candle::{Device, Tensor}; use candle::{Device, Tensor};
fn main() -> Result<()> { fn main() -> Result<()> {
let x = Tensor::var(&[3f32, 1., 4.], &Device::Cpu)?; let data = &[[3f32, 1., 4., 1., 5.], [2., 7., 1., 8., 2.]];
let y = (((&x * &x)? + &x * 5f64)? + 4f64)?; let t1 = Tensor::new(data, &Device::Cpu)?;
println!("{:?}", y.to_vec1::<f32>()?); 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]
]
);
Ok(()) Ok(())
} }

2
src/cpu_backend.rs
View File

@ -88,7 +88,7 @@ fn binary_map<T: Copy, F: FnMut(T, T) -> T>(
} }
} }
fn copy_strided_src_<T: Copy>( fn copy_strided_src_<T: Copy + std::fmt::Display>(
src: &[T], src: &[T],
dst: &mut [T], dst: &mut [T],
dst_offset: usize, dst_offset: usize,

36
tests/tensor_tests.rs
View File

@ -176,6 +176,7 @@ fn broadcast() -> Result<()> {
#[test] #[test]
fn cat() -> Result<()> { fn cat() -> Result<()> {
// 1D
let t1 = Tensor::new(&[3f32, 1., 4.], &Device::Cpu)?; let t1 = Tensor::new(&[3f32, 1., 4.], &Device::Cpu)?;
let t2 = Tensor::new(&[1f32, 5., 9., 2.], &Device::Cpu)?; let t2 = Tensor::new(&[1f32, 5., 9., 2.], &Device::Cpu)?;
let t3 = Tensor::new(&[6f32, 5., 3., 5., 8., 9.], &Device::Cpu)?; let t3 = Tensor::new(&[6f32, 5., 3., 5., 8., 9.], &Device::Cpu)?;
@ -188,5 +189,40 @@ fn cat() -> Result<()> {
Tensor::cat(&[&t1, &t2, &t3], 0)?.to_vec1::<f32>()?, Tensor::cat(&[&t1, &t2, &t3], 0)?.to_vec1::<f32>()?,
[3f32, 1., 4., 1., 5., 9., 2., 6., 5., 3., 5., 8., 9.], [3f32, 1., 4., 1., 5., 9., 2., 6., 5., 3., 5., 8., 9.],
); );
// 2D
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, &t2], 0)?.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]
]
);
// TODO: This is not the expected answer, to be fixed!
assert_eq!(
Tensor::cat(&[&t1.t()?, &t2.t()?], 1)?
.t()?
.to_vec2::<f32>()?,
[
[3.0, 4.0, 5.0, 5.0, 5.0],
[2.0, 1.0, 2.0, 7.0, 8.0],
[1.0, 1.0, 5.0, 5.0, 5.0],
[7.0, 8.0, 2.0, 1.0, 2.0]
]
);
// TODO: This is not the expected answer, to be fixed!
assert_eq!(
Tensor::cat(&[&t1, &t2], 1)?.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]
]
);
Ok(()) Ok(())
} }