chore: import upstream snapshot with attribution

samples/python/dds_faster_rcnn/modify_onnx.py

@@ -0,0 +1,56 @@
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+import onnx_graphsurgeon as gs
+import onnx
+import numpy as np
+import argparse
+
+
+def modify_maskrcnn_opset12(path_to_model, output_path):
+    graph = gs.import_onnx(onnx.load(path_to_model))
+    """
+        Step 1: Remove unnecessary UINT8 cast
+            - Pattern match Cast[BOOL->UINT8] -> Cast[UINT8 -> BOOL]
+            - Fixes node 2838 - casts bool to uint8 for slice / gather. Can keep all operations in bool.
+    """
+    for node in graph.nodes:
+        if node.op == "Cast" and node.attrs["to"] == onnx.TensorProto.UINT8:
+            node.attrs["to"] = onnx.TensorProto.BOOL
+            node.outputs[0].dtype = np.bool_
+            # Need to modify output_node output to be bool as well.
+            for output_node in node.outputs[0].outputs:
+                output_node.outputs[0].dtype = np.bool_
+            print(f"Removed UINT8 casts in node {node.name}")
+
+    onnx.save(gs.export_onnx(graph.cleanup()), output_path)
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "-i",
+        "--input",
+        default="FasterRCNN-12.onnx",
+        help="Path to the onnx model obtained from https://github.com/onnx/models/raw/refs/heads/main/validated/vision/object_detection_segmentation/faster-rcnn/model/FasterRCNN-12.onnx",
+    )
+    parser.add_argument(
+        "-o", "--output", default="fasterrcnn12_trt.onnx", help="Desired path for the output onnx model"
+    )
+    args = parser.parse_args()
+
+    modify_maskrcnn_opset12(args.input, args.output)