Rename the .r functions to .dims so as to be a bit more explicit. (#220)

1 files changed, 1 insertions, 1 deletions

diff --git a/candle-examples/examples/bert/main.rs b/candle-examples/examples/bert/main.rs
index 33f0a1fe..6672ad09 100644
--- a/candle-examples/examples/bert/main.rs
+++ b/candle-examples/examples/bert/main.rs
@@ -161,7 +161,7 @@ fn main() -> Result<()> {
         let embeddings = model.forward(&token_ids, &token_type_ids)?;
         println!("generated embeddings {:?}", embeddings.shape());
         // Apply some avg-pooling by taking the mean embedding value for all tokens (including padding)
-        let (_n_sentence, n_tokens, _hidden_size) = embeddings.shape().r3()?;
+        let (_n_sentence, n_tokens, _hidden_size) = embeddings.dims3()?;
         let embeddings = (embeddings.sum(1)? / (n_tokens as f64))?;
         println!("pooled embeddings {:?}", embeddings.shape());
         let mut similarities = vec![];