Adapt the cuda bits.

1 files changed, 4 insertions, 15 deletions

diff --git a/candle-core/src/cpu_backend.rs b/candle-core/src/cpu_backend.rs
index 9f0c8602..f1547b3c 100644
--- a/candle-core/src/cpu_backend.rs
+++ b/candle-core/src/cpu_backend.rs
@@ -101,14 +101,9 @@ fn binary_map<T: Copy, F: FnMut(T, T) -> T>(
     }
 }
 
-fn take_impl1<T: Copy>(
-    vs: &[T],
-    ids: &[u32],
-    layout: &Layout,
-    vocab_size: usize,
-    hidden_size: usize,
-) -> Result<Vec<T>> {
+fn take_impl1<T: Copy>(vs: &[T], ids: &[u32], layout: &Layout, rhs_l: &Layout) -> Result<Vec<T>> {
     // TODO: Optimize for the case where ids are contiguous.
+    let (vocab_size, hidden_size) = rhs_l.shape().r2()?;
     let mut values = Vec::with_capacity(layout.shape().elem_count() * hidden_size);
     for index in layout.strided_index() {
         let index = ids[index].try_into()?;
@@ -610,15 +605,9 @@ impl CpuStorage {
         }
     }
 
-    pub(crate) fn embedding(
-        &self,
-        layout: &Layout,
-        vs: &Self,
-        hidden_size: usize,
-        vocab_size: usize,
-    ) -> Result<Self> {
+    pub(crate) fn embedding(&self, layout: &Layout, rhs: &Self, rhs_l: &Layout) -> Result<Self> {
         let ids = self.as_slice::<u32>()?;
-        map1!(vs, take_impl1, ids, layout, vocab_size, hidden_size)
+        map1!(rhs, take_impl1, ids, layout, rhs_l)
     }
 
     pub(crate) fn matmul(