huggingface/candle
1
0
Fork 0
mirror of https://github.com/huggingface/candle.git synced 2025-06-20 04:00:28 +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

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) {

26
candle-core/src/tensor.rs
View File

@ -652,18 +652,22 @@ impl Tensor {
}
pub fn flatten(&self, start_dim: Option<usize>, end_dim: Option<usize>) -> Result<Tensor> {
let start_dim = start_dim.unwrap_or(0);
let end_dim = end_dim.unwrap_or_else(|| self.rank() - 1);
if start_dim < end_dim {
let dims = self.dims();
let mut dst_dims = dims[..start_dim].to_vec();
dst_dims.push(dims[start_dim..end_dim + 1].iter().product::<usize>());
if end_dim + 1 < dims.len() {
dst_dims.extend(&dims[end_dim + 1..]);
}
self.reshape(dst_dims)
if self.rank() == 0 {
self.reshape(1)
} else {
Ok(self.clone())
let start_dim = start_dim.unwrap_or(0);
let end_dim = end_dim.unwrap_or_else(|| self.rank() - 1);
if start_dim < end_dim {
let dims = self.dims();
let mut dst_dims = dims[..start_dim].to_vec();
dst_dims.push(dims[start_dim..end_dim + 1].iter().product::<usize>());
if end_dim + 1 < dims.len() {
dst_dims.extend(&dims[end_dim + 1..]);
}
self.reshape(dst_dims)
} else {
Ok(self.clone())
}
}
}