I am done

rl/Lib/site-packages/onnx/reference/ops/op_celu.py

@@ -0,0 +1,19 @@
+# Copyright (c) ONNX Project Contributors
+
+# SPDX-License-Identifier: Apache-2.0
+from __future__ import annotations
+
+import numpy as np
+
+from onnx.reference.op_run import OpRun
+
+
+def _vcelu1(x: np.ndarray, alpha: float = 1.0) -> np.ndarray:
+    positive_input = np.maximum(0, x)
+    negative_input = np.minimum(0, alpha * (np.exp(x / alpha) - 1))
+    return positive_input + negative_input  # type: ignore
+
+
+class Celu(OpRun):
+    def _run(self, x, alpha=None):  # type: ignore
+        return (_vcelu1(x, alpha).astype(x.dtype),)