Add NXP copyright and BSD license

Signed-off-by: Alison Wang <[email protected]>

Author: alisonwh

backends/nxp/backend/ir/converter/builder/aten_model_builder_director.py

@@ -1,3 +1,8 @@
+# Copyright 2024-2025 NXP
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
 from torch.fx import Node
 from torch.nn import Parameter
 

backends/nxp/tests/exported_program_vizualize.py

@@ -1,3 +1,8 @@
+# Copyright 2024-2025 NXP
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
 import random
 import warnings
 

backends/nxp/tests/ir/converter/node_converter/test_avg_pool2d_converter.py

@@ -1,3 +1,8 @@
+# Copyright 2024-2025 NXP
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
 import numpy as np
 import pytest
 import torch
@@ -66,4 +71,4 @@ def test_avg_pool_2d_quant_conversion(mocker, input_shape, padding, count_includ
     input_data = (np.random.random(input_shape).astype(np.float32) * 50).astype(np.int8)
 
     convert_run_compare(exported_program, tflite_input_preprocess=ToNHWCPreprocess(), tfl_model=tflite_flatbuffers_model,
-                        tflite_output_preprocess=ToNCHWPreprocess(), input_data=input_data)
+                        tflite_output_preprocess=ToNCHWPreprocess(), input_data=input_data)

backends/nxp/tests/ir/converter/node_converter/test_constant_pad_nd_converter.py

@@ -1,3 +1,8 @@
+# Copyright 2024-2025 NXP
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
 import numpy as np
 import pytest
 import torch

backends/nxp/tests/ir/converter/node_converter/test_conv_converter.py

@@ -1,3 +1,8 @@
+# Copyright 2024-2025 NXP
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
 import numpy as np
 import pytest
 import torch

backends/nxp/tests/ir/converter/node_converter/test_linear_converter.py

@@ -1,3 +1,8 @@
+# Copyright 2024-2025 NXP
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
 import numpy as np
 import pytest
 import torch

backends/nxp/tests/ir/converter/node_converter/test_max_pool_2d_converter.py

@@ -1,3 +1,8 @@
+# Copyright 2024-2025 NXP
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
 import numpy as np
 import pytest
 import torch

backends/nxp/tests/ir/converter/node_converter/test_permute_copy_converter.py

@@ -1,3 +1,8 @@
+# Copyright 2024-2025 NXP
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
 import numpy as np
 import pytest
 import torch

backends/nxp/tests/ir/converter/node_converter/test_relu_converter.py

@@ -1,3 +1,8 @@
+# Copyright 2024-2025 NXP
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
 import pytest
 import numpy as np
 import torch

backends/nxp/tests/ir/converter/node_converter/test_softmax_converter.py

@@ -1,3 +1,8 @@
+# Copyright 2024-2025 NXP
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
 import numpy as np
 import pytest
 import torch