huggingface/candle
1
0
Fork 0
mirror of https://github.com/huggingface/candle.git synced 2025-06-16 10:38:54 +00:00
Code Issues Packages Projects Releases Wiki Activity

Add some display tests + bugfixes.

Browse Source
This commit is contained in:
laurent
2023-06-27 21:37:28 +01:00
parent 8c81a70170
commit b0f5f2d22d
3 changed files with 102 additions and 14 deletions
Download Patch File Download Diff File Expand all files Collapse all files

84
candle-core/tests/display_tests.rs Normal file
View File

@ -0,0 +1,84 @@
use anyhow::Result;
use candle::{DType, Device::Cpu, Tensor};
#[test]
fn display_scalar() -> Result<()> {
let t = Tensor::new(1234u32, &Cpu)?;
let s = format!("{t}");
assert_eq!(&s, "[1234]\nTensor[[], u32]");
let t = t.to_dtype(DType::F32)?.neg()?;
let s = format!("{}", (&t / 10.0)?);
assert_eq!(&s, "[-123.4000]\nTensor[[], f32]");
let s = format!("{}", (&t / 1e8)?);
assert_eq!(&s, "[-1.2340e-5]\nTensor[[], f32]");
let s = format!("{}", (&t * 1e8)?);
assert_eq!(&s, "[-1.2340e11]\nTensor[[], f32]");
let s = format!("{}", (&t * 0.)?);
assert_eq!(&s, "[0.]\nTensor[[], f32]");
Ok(())
}
#[test]
fn display_vector() -> Result<()> {
let t = Tensor::new::<&[u32; 0]>(&[], &Cpu)?;
let s = format!("{t}");
assert_eq!(&s, "[]\nTensor[[0], u32]");
let t = Tensor::new(&[0.1234567, 1.0, -1.2, 4.1, f64::NAN], &Cpu)?;
let s = format!("{t}");
assert_eq!(
&s,
"[ 0.1235, 1.0000, -1.2000, 4.1000, NaN]\nTensor[[5], f64]"
);
let t = (Tensor::ones(50, DType::F32, &Cpu)? * 42.)?;
let s = format!("\n{t}");
let expected = r#"
[42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42.,
42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42.,
42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42., 42.,
42., 42.]
Tensor[[50], f32]"#;
assert_eq!(&s, expected);
let t = (Tensor::ones(11000, DType::F32, &Cpu)? * 42.)?;
let s = format!("{t}");
assert_eq!(
&s,
"[42., 42., 42., ..., 42., 42., 42.]\nTensor[[11000], f32]"
);
Ok(())
}
#[test]
fn display_multi_dim() -> Result<()> {
let t = (Tensor::ones((200, 100), DType::F32, &Cpu)? * 42.)?;
let s = format!("\n{t}");
let expected = r#"
[[42., 42., 42., ..., 42., 42., 42.],
[42., 42., 42., ..., 42., 42., 42.],
[42., 42., 42., ..., 42., 42., 42.],
...
[42., 42., 42., ..., 42., 42., 42.],
[42., 42., 42., ..., 42., 42., 42.],
[42., 42., 42., ..., 42., 42., 42.]]
Tensor[[200, 100], f32]"#;
assert_eq!(&s, expected);
let t = t.reshape(&[2, 1, 1, 100, 100])?;
let t = format!("\n{t}");
let expected = r#"
[[[[[42., 42., 42., ..., 42., 42., 42.],
[42., 42., 42., ..., 42., 42., 42.],
[42., 42., 42., ..., 42., 42., 42.],
...
[42., 42., 42., ..., 42., 42., 42.],
[42., 42., 42., ..., 42., 42., 42.],
[42., 42., 42., ..., 42., 42., 42.]]]],
[[[[42., 42., 42., ..., 42., 42., 42.],
[42., 42., 42., ..., 42., 42., 42.],
[42., 42., 42., ..., 42., 42., 42.],
...
[42., 42., 42., ..., 42., 42., 42.],
[42., 42., 42., ..., 42., 42., 42.],
[42., 42., 42., ..., 42., 42., 42.]]]]]
Tensor[[2, 1, 1, 100, 100], f32]"#;
assert_eq!(&t, expected);
Ok(())
}