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

1 files changed, 2 insertions, 2 deletions

diff --git a/candle-examples/examples/bert/model.rs b/candle-examples/examples/bert/model.rs
index fa0e8c76..3bf412b2 100644
--- a/candle-examples/examples/bert/model.rs
+++ b/candle-examples/examples/bert/model.rs
@@ -87,7 +87,7 @@ impl LayerNorm {
             DType::F16 | DType::BF16 => DType::F32,
             d => d,
         };
-        let (_bsize, _seq_len, hidden_size) = x.shape().r3()?;
+        let (_bsize, _seq_len, hidden_size) = x.dims3()?;
         let x = x.to_dtype(internal_dtype)?;
         let mean_x = (x.sum_keepdim(2)? / hidden_size as f64)?;
         let x = x.broadcast_sub(&mean_x)?;
@@ -262,7 +262,7 @@ impl BertEmbeddings {
 
     fn forward(&self, input_ids: &Tensor, token_type_ids: &Tensor) -> Result<Tensor> {
         let _enter = self.span.enter();
-        let (_bsize, seq_len) = input_ids.shape().r2()?;
+        let (_bsize, seq_len) = input_ids.dims2()?;
         let input_embeddings = self.word_embeddings.forward(input_ids)?;
         let token_type_embeddings = self.token_type_embeddings.forward(token_type_ids)?;
         let mut embeddings = (&input_embeddings + token_type_embeddings)?;