1 files changed, 52 insertions, 0 deletions
diff --git a/candle-flash-attn/tests/flash_attn_tests.rs b/candle-flash-attn/tests/flash_attn_tests.rs
index 250added..e3058611 100644
--- a/candle-flash-attn/tests/flash_attn_tests.rs
+++ b/candle-flash-attn/tests/flash_attn_tests.rs
@@ -27,6 +27,20 @@ fn fa_acausal(q: &Tensor, k: &Tensor, v: &Tensor, softmax_scale: f32) -> Result<
     Ok(output)
 }
 
+fn fa_acausal_softcap(q: &Tensor, k: &Tensor, v: &Tensor, softcap: f32) -> Result<Tensor> {
+    let in_dtype = q.dtype();
+    let q = q.to_dtype(DType::F32)?;
+    let k = k.to_dtype(DType::F32)?;
+    let v = v.to_dtype(DType::F32)?;
+    // let att = (q.matmul(&k.t()?)? * softmax_scale as f64)?;
+    let att = q.matmul(&k.t()?)?;
+    let att = (softcap as f64 * ((att / softcap as f64)?.tanh())?)?;
+    let att = candle_nn::ops::softmax(&att, D::Minus1)?;
+    // Convert to contiguous as matmul doesn't support strided vs for now.
+    let output = att.matmul(&v.contiguous()?)?.to_dtype(in_dtype)?;
+    Ok(output)
+}
+
 #[test]
 fn flash_attn_acausal() -> Result<()> {
     let device = Device::new_cuda(0)?;
@@ -90,6 +104,44 @@ fn flash_attn_acausal() -> Result<()> {
 }
 
 #[test]
+fn flash_attn_acausal_softcap() -> Result<()> {
+    let device = Device::new_cuda(0)?;
+    let q = Tensor::arange(0u32, 3 * 5 * 8, &device)?
+        .to_dtype(DType::F16)?
+        .reshape((1, 3, 5, 8))?;
+    let k = (&q / 40.)?;
+    let v = (&q / 50.)?;
+    let q = (&q / 30.)?;
+    let softcap = 5.0f32;
+
+    let ys1 = fa_acausal_softcap(&q, &k, &v, softcap.clone())?;
+    let ys1 = ys1.i(0)?.to_dtype(DType::F32)?;
+    let ys2 = {
+        let q = q.transpose(1, 2)?;
+        let k = k.transpose(1, 2)?;
+        let v = v.transpose(1, 2)?;
+        candle_flash_attn::flash_attn_alibi_windowed_softcap(
+            &q,
+            &k,
+            &v,
+            None,            //  alibi_slopes //
+            1.0,             // softmax //
+            None,            // window_size_left //
+            None,            // window_size_right //
+            softcap.clone(), // softcap //
+        )?
+        .transpose(1, 2)?
+    };
+    let ys2 = ys2.i(0)?.to_dtype(DType::F32)?;
+    let diff = ys1.sub(&ys2)?.abs()?.flatten_all()?.max(0)?;
+
+    assert_eq!(ys1.dims(), &[3, 5, 8]);
+    assert_eq!(ys2.dims(), &[3, 5, 8]);
+    assert!(diff.to_vec0::<f32>()?.abs() < 1e-3);
+    Ok(())
+}
+
+#[test]
 fn flash_attn_varlen() -> Result<()> {
     let device = Device::new_cuda(0)?;
     let q = Tensor::arange(0u32, 48, &device)?