@ -174,7 +174,7 @@ def test_model_default_cfgs_non_std(model_name, batch_size):
cfg = model.default_cfg
input_size = _get_input_size(model_name=model_name, target=TARGET_FWD_SIZE)
if max(input_size) > MAX_FWD_SIZE:
if max(input_size) > 320: # FIXME const
pytest.skip("Fixed input size model > limit.")
input_tensor = torch.randn((batch_size, *input_size))