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Extend EfficientNet pretrained support to B2-B8 #4963

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Extend EfficientNet pretrained support to B2-B8 #4963

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2 changes: 1 addition & 1 deletion library/src/otx/backend/native/models/classification/backbones/efficientnet.py
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Expand Up @@ -672,6 +672,6 @@ def __new__(

if pretrained:
cache_dir = Path.home() / ".cache" / "torch" / "hub" / "checkpoints"
download_model(net=model, model_name=f"{model_name}", local_model_store_dir_path=str(cache_dir))
download_model(net=model, model_name=f"{model_name}c", local_model_store_dir_path=str(cache_dir))
print(f"Download model weight in {cache_dir!s}")
return model
5 changes: 3 additions & 2 deletions library/tests/unit/backend/native/models/classification/backbones/test_otx_efficientnet.py
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Expand Up @@ -23,8 +23,9 @@ class TestOTXEfficientNet:
"efficientnet_b8",
],
)
def test_forward(self, model_name):
model = EfficientNetBackbone(model_name, pretrained=None)
@pytest.mark.parametrize("pretrained", [True, False])
def test_forward(self, model_name, pretrained):
model = EfficientNetBackbone(model_name, pretrained=pretrained)
assert model(torch.randn(1, 3, 244, 244))[0].shape[-1] == 8
assert model(torch.randn(1, 3, 244, 244))[0].shape[-2] == 8

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