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Add some display tests + bugfixes.

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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
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6
candle-core/src/display.rs
View File

@ -186,8 +186,8 @@ trait TensorFormatter {
.and_then(|t| t.to_vec1::<Self::Elem>())
{
for v in vs.into_iter() {
self.fmt(v, max_w, f)?;
write!(f, ", ")?;
self.fmt(v, max_w, f)?;
}
}
}
@ -257,7 +257,7 @@ struct FloatFormatter<S: WithDType> {
impl<S> FloatFormatter<S>
where
S: WithDType + num_traits::Float,
S: WithDType + num_traits::Float + std::fmt::Display,
{
fn new(t: &Tensor, po: &PrinterOptions) -> Result<Self> {
let mut int_mode = true;
@ -275,6 +275,7 @@ where
let mut nonzero_finite_min = S::max_value();
let mut nonzero_finite_max = S::min_value();
for &v in values.iter() {
let v = v.abs();
if v < nonzero_finite_min {
nonzero_finite_min = v
}
@ -289,7 +290,6 @@ where
break;
}
}
if let Some(v1) = S::from(1000.) {
if let Some(v2) = S::from(1e8) {
if let Some(v3) = S::from(1e-4) {

4
candle-core/src/tensor.rs
View File

@ -652,6 +652,9 @@ impl Tensor {
}
pub fn flatten(&self, start_dim: Option<usize>, end_dim: Option<usize>) -> Result<Tensor> {
if self.rank() == 0 {
self.reshape(1)
} else {
let start_dim = start_dim.unwrap_or(0);
let end_dim = end_dim.unwrap_or_else(|| self.rank() - 1);
if start_dim < end_dim {
@ -666,6 +669,7 @@ impl Tensor {
Ok(self.clone())
}
}
}
pub fn flatten_all(&self) -> Result<Tensor> {
self.flatten(None, None)

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(())
}