Add a dedicated test.

candle-core/tests/custom_op_tests.rs

@@ -143,3 +143,33 @@ fn inplace_op1() -> Result<()> {
     );
     Ok(())
 }
+
+#[cfg(feature = "cuda")]
+#[allow(clippy::approx_constant)]
+#[test]
+fn ug_op() -> Result<()> {
+    let kernel = {
+        use ug::lang::op;
+
+        let layout = ug::Layout::from_shape(&[12]);
+        let ptr = op::Arg::ptr(ug::DType::F32);
+        let src = op::load(ptr.id(), layout.clone(), ug::DType::F32)?;
+        let src = op::unary(op::UnaryOp::Exp, src)?;
+        let st = op::store(ptr.id(), layout, src)?;
+        let kernel = op::Kernel::new("exp".to_string(), vec![ptr], vec![st]);
+        let opts: ug::lower_op::Opts = Default::default();
+        kernel.lower(&opts.with_global(0, 12))?
+    };
+    let device = Device::new_cuda(0)?;
+    let op = candle_core::UgIOp1::new("test", kernel, &device)?;
+    let t = Tensor::arange(0u32, 12u32, &device)?.to_dtype(DType::F32)?;
+    t.inplace_op1(&op)?;
+    assert_eq!(
+        to_vec1_round(&t, 4)?,
+        &[
+            1.0, 2.7183, 7.3891, 20.0855, 54.5982, 148.4132, 403.4287, 1096.6334, 2980.9578,
+            8103.0806, 22026.469, 59874.133
+        ]
+    );
+    Ok(())
+}