Arm backend: Add Inception v3 test

backends/arm/test/models/test_inception_v3_arm.py

@@ -0,0 +1,90 @@
+# Copyright 2025 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from typing import Tuple
+
+import common
+import pytest
+
+import torch
+
+from executorch.backends.arm.test.tester.test_pipeline import (
+    EthosU55PipelineBI,
+    EthosU85PipelineBI,
+    TosaPipelineBI,
+    TosaPipelineMI,
+)
+
+from torchvision import models, transforms
+
+ic3 = models.inception_v3(weights=models.Inception_V3_Weights)
+ic3 = ic3.eval()
+
+# Normalization values referenced from here:
+# https://docs.pytorch.org/vision/main/models/generated/torchvision.models.quantization.inception_v3.html
+normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
+
+model_inputs = (normalize(torch.rand(1, 3, 224, 224)),)
+input_t = Tuple[torch.Tensor]
+
+
+@pytest.mark.slow
+def test_ic3_tosa_MI():
+    pipeline = TosaPipelineMI[input_t](
+        ic3,
+        model_inputs,
+        aten_op=[],
+        exir_op=[],
+        use_to_edge_transform_and_lower=True,
+    )
+    pipeline.run()
+
+
+@pytest.mark.slow
+def test_ic3_tosa_BI():
+    pipeline = TosaPipelineBI[input_t](
+        ic3,
+        model_inputs,
+        aten_op=[],
+        exir_op=[],
+        use_to_edge_transform_and_lower=True,
+        atol=0.5,
+        qtol=1,
+    )
+    pipeline.run()
+
+
+@pytest.mark.slow
+@pytest.mark.skip(reason="Takes too long to run on CI")
+@common.XfailIfNoCorstone300
+def test_ic3_u55_BI():
+    pipeline = EthosU55PipelineBI[input_t](
+        ic3,
+        model_inputs,
+        aten_ops=[],
+        exir_ops=[],
+        run_on_fvp=True,
+        use_to_edge_transform_and_lower=True,
+        atol=0.5,
+        qtol=1,
+    )
+    pipeline.run()
+
+
+@pytest.mark.slow
+@pytest.mark.skip(reason="Takes too long to run on CI")
+@common.XfailIfNoCorstone320
+def test_ic3_u85_BI():
+    pipeline = EthosU85PipelineBI[input_t](
+        ic3,
+        model_inputs,
+        aten_ops=[],
+        exir_ops=[],
+        run_on_fvp=True,
+        use_to_edge_transform_and_lower=True,
+        atol=0.5,
+        qtol=1,
+    )
+    pipeline.run()