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-rw-r--r--candle-examples/examples/mamba-minimal/model.rs2
-rw-r--r--candle-examples/src/imagenet.rs1
2 files changed, 1 insertions, 2 deletions
diff --git a/candle-examples/examples/mamba-minimal/model.rs b/candle-examples/examples/mamba-minimal/model.rs
index 4a0a345d..7ebea76a 100644
--- a/candle-examples/examples/mamba-minimal/model.rs
+++ b/candle-examples/examples/mamba-minimal/model.rs
@@ -17,7 +17,7 @@ pub struct Config {
impl Config {
fn vocab_size(&self) -> usize {
let pad = self.pad_vocab_size_multiple;
- (self.vocab_size + pad - 1) / pad * pad
+ self.vocab_size.div_ceil(pad) * pad
}
fn dt_rank(&self) -> usize {
diff --git a/candle-examples/src/imagenet.rs b/candle-examples/src/imagenet.rs
index a3b12423..ca77b5df 100644
--- a/candle-examples/src/imagenet.rs
+++ b/candle-examples/src/imagenet.rs
@@ -6,7 +6,6 @@ pub const IMAGENET_STD: [f32; 3] = [0.229f32, 0.224, 0.225];
/// Loads an image from disk using the image crate at the requested resolution,
/// using the given std and mean parameters.
/// This returns a tensor with shape (3, res, res). imagenet normalization is applied.
-
pub fn load_image_with_std_mean<P: AsRef<std::path::Path>>(
p: P,
res: usize,