Enable ResNet-18

examples/export/test/test_export.py

@@ -96,6 +96,14 @@ def test_ic3_export_to_executorch(self):
             eager_model, example_inputs, self.validate_tensor_allclose
         )
 
+    def test_resnet18_export_to_executorch(self):
+        eager_model, example_inputs = MODEL_NAME_TO_MODEL["resnet18"]()
+        eager_model = eager_model.eval()
+
+        self._assert_eager_lowered_same_result(
+            eager_model, example_inputs, self.validate_tensor_allclose
+        )
+
     def test_resnet50_export_to_executorch(self):
         eager_model, example_inputs = MODEL_NAME_TO_MODEL["resnet50"]()
         eager_model = eager_model.eval()

examples/models/TARGETS

@@ -12,7 +12,7 @@ python_library(
         "//executorch/examples/models/inception_v4:ic4_export",
         "//executorch/examples/models/mobilenet_v2:mv2_export",
         "//executorch/examples/models/mobilenet_v3:mv3_export",
-        "//executorch/examples/models/resnet50:resnet50_export",
+        "//executorch/examples/models/resnet:resnet_export",
         "//executorch/examples/models/torchvision_vit:vit_export",
         "//executorch/examples/models/wav2letter:w2l_export",
         "//executorch/exir/backend:compile_spec_schema",

examples/models/models.py

@@ -114,8 +114,14 @@ def gen_inception_v4_model_and_inputs() -> Tuple[torch.nn.Module, Any]:
     return InceptionV4Model.get_model(), InceptionV4Model.get_example_inputs()
 
 
+def gen_resnet18_model_and_inputs() -> Tuple[torch.nn.Module, Any]:
+    from ..models.resnet import ResNet18Model
+
+    return ResNet18Model.get_model(), ResNet18Model.get_example_inputs()
+
+
 def gen_resnet50_model_and_inputs() -> Tuple[torch.nn.Module, Any]:
-    from ..models.resnet50 import ResNet50Model
+    from ..models.resnet import ResNet50Model
 
     return ResNet50Model.get_model(), ResNet50Model.get_example_inputs()
 
@@ -131,5 +137,6 @@ def gen_resnet50_model_and_inputs() -> Tuple[torch.nn.Module, Any]:
     "w2l": gen_wav2letter_model_and_inputs,
     "ic3": gen_inception_v3_model_and_inputs,
     "ic4": gen_inception_v4_model_and_inputs,
+    "resnet18": gen_resnet18_model_and_inputs,
     "resnet50": gen_resnet50_model_and_inputs,
 }

examples/models/resnet50/TARGETS → examples/models/resnet/TARGETS

@@ -1,12 +1,12 @@
 load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
 
 python_library(
-    name = "resnet50_export",
+    name = "resnet_export",
     srcs = [
         "__init__.py",
         "export.py",
     ],
-    base_module = "executorch.examples.models.resnet50",
+    base_module = "executorch.examples.models.resnet",
     deps = [
         "//caffe2:torch",
         "//pytorch/vision:torchvision",

examples/models/resnet50/__init__.py → examples/models/resnet/__init__.py

@@ -4,8 +4,9 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
-from .export import ResNet50Model
+from .export import ResNet18Model, ResNet50Model
 
 __all__ = [
+    ResNet18Model,
     ResNet50Model,
 ]

examples/models/resnet50/export.py → examples/models/resnet/export.py

@@ -13,6 +13,23 @@
 logging.basicConfig(format=FORMAT)
 
 
+class ResNet18Model:
+    def __init__(self):
+        pass
+
+    @staticmethod
+    def get_model():
+        logging.info("loading torchvision resnet18 model")
+        resnet18 = models.resnet18(weights=models.ResNet18_Weights.IMAGENET1K_V1)
+        logging.info("loaded torchvision resnet18 model")
+        return resnet18
+
+    @staticmethod
+    def get_example_inputs():
+        input_shape = (1, 3, 224, 224)
+        return (torch.randn(input_shape),)
+
+
 class ResNet50Model:
     def __init__(self):
         pass