I am done

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

@@ -0,0 +1,17 @@
+# Copyright (c) ONNX Project Contributors
+
+# SPDX-License-Identifier: Apache-2.0
+from __future__ import annotations
+
+from onnx.helper import np_dtype_to_tensor_dtype
+from onnx.reference.ops._op_common_random import _CommonRandom
+
+
+class Bernoulli(_CommonRandom):
+    def _run(self, x, dtype=None, seed=None):  # type: ignore
+        if dtype is None:
+            dtype = np_dtype_to_tensor_dtype(x.dtype)
+        dtype = self._dtype(x, dtype=dtype, dtype_first=True)
+        state = self._get_state(seed)
+        res = state.binomial(1, p=x).astype(dtype)
+        return (res.astype(dtype),)