I am done

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

@@ -0,0 +1,39 @@
+# 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 reshape_reference_implementation(
+    data: np.ndarray, shape: np.ndarray, allowzero: int = 0
+) -> np.ndarray:
+    # replace zeros with corresponding dim size
+    # we need to do this because np.reshape doesn't support 0 by default unless 'allowzero' is set
+    new_shape = np.copy(shape)
+    if allowzero == 0:
+        zeros_index = np.where(shape == 0)
+        new_shape[zeros_index] = np.array(data.shape)[zeros_index]
+    reshaped = np.reshape(data, new_shape)
+    return reshaped
+
+
+class CommonReshape(OpRun):
+    def _run(self, data, shape):  # type: ignore
+        return (reshape_reference_implementation(data, shape, 0),)
+
+
+class Reshape_5(CommonReshape):
+    pass
+
+
+class Reshape_14(CommonReshape):
+    def _run(self, data, shape, allowzero=None):  # type: ignore
+        if allowzero is None:
+            allowzero = getattr(self, "allowzero", 0) == 1
+        else:
+            allowzero = allowzero == 1
+        return (reshape_reference_implementation(data, shape, allowzero),)