Update ghostnet

tests/test_models.py

@@ -109,7 +109,7 @@ def test_model_default_cfgs(model_name, batch_size):
         model.reset_classifier(0, '')  # reset classifier and set global pooling to pass-through
         outputs = model.forward(input_tensor)
         assert len(outputs.shape) == 4
-        if not isinstance(model, timm.models.GhostNet) or not isinstance(model, timm.models.GhostNet):
+        if not isinstance(model, timm.models.MobileNetV3) or not isinstance(model, timm.models.GhostNet):
             # FIXME mobilenetv3/ghostnet forward_features vs removed pooling differ
             assert outputs.shape[-1] == pool_size[-1] and outputs.shape[-2] == pool_size[-2]