diff --git a/candle-examples/examples/whisper/main.rs b/candle-examples/examples/whisper/main.rs
index e0292e17..3e780a2c 100644
--- a/candle-examples/examples/whisper/main.rs
+++ b/candle-examples/examples/whisper/main.rs
@@ -1,5 +1,7 @@
 #![allow(dead_code)]
 // https://github.com/openai/whisper/blob/main/whisper/model.py
+// TODO:
+// - kv-cache support?
 
 use anyhow::{Error as E, Result};
 use candle::{safetensors::SafeTensors, DType, Device, Shape, Tensor};
@@ -309,6 +311,7 @@ impl ResidualAttentionBlock {
 struct AudioEncoder {
     conv1: Linear, // TODO
     conv2: Linear, // TODO
+    positional_embedding: Tensor,
     blocks: Vec<ResidualAttentionBlock>,
     ln_post: LayerNorm,
 }
@@ -319,6 +322,7 @@ impl AudioEncoder {
         let n_head = cfg.n_audio_head;
         let conv1 = Linear::load(cfg.n_mels, n_state, &format!("{p}.conv1"), vb)?;
         let conv2 = Linear::load(n_state, n_state, &format!("{p}.conv2"), vb)?;
+        let positional_embedding = Tensor::new(&[0u32], &vb.device)?; // TODO
         let blocks = (0..cfg.n_audio_layer)
             .map(|i| {
                 ResidualAttentionBlock::load(n_state, n_head, false, &format!("{p}.blocks.{i}"), vb)
@@ -328,12 +332,21 @@ impl AudioEncoder {
         Ok(Self {
             conv1,
             conv2,
+            positional_embedding,
             blocks,
             ln_post,
         })
     }
-    fn forward(&self, _x: &Tensor) -> Result<Tensor> {
-        todo!()
+    fn forward(&self, x: &Tensor) -> Result<Tensor> {
+        let x = self.conv1.forward(x)?.gelu()?;
+        let x = self.conv2.forward(&x)?.gelu()?;
+        let x = x.transpose(1, 2)?;
+        let mut x = x.broadcast_add(&self.positional_embedding)?;
+        for block in self.blocks.iter() {
+            x = block.forward(&x)?
+        }
+        let x = self.ln_post.forward(&x)?;
+        Ok(x)
     }
 }
 
@@ -357,7 +370,7 @@ impl TextDecoder {
             })
             .collect::<Result<Vec<_>>>()?;
         let ln = LayerNorm::load(n_state, &format!("{p}.ln"), vb)?;
-        let mask = Tensor::new(&[0u32], &vb.device)?;
+        let mask = Tensor::new(&[0u32], &vb.device)?; // TODO
         Ok(Self {
             token_embedding,
             blocks,