I am done

rl/Lib/site-packages/onnx/reference/ops/op_shrink.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
+
+
+class Shrink(OpRun):
+    def _run(self, x, bias=None, lambd=None):  # type: ignore
+        return (
+            np.where(
+                x < -lambd,
+                x + bias,
+                np.where(x > lambd, x - bias, 0),
+            ).astype(x.dtype),
+        )