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@ -422,20 +422,20 @@ if 'GITHUB_ACTIONS' not in os.environ:
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assert not torch.isnan(outputs).any(), 'Output included NaNs'
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# reason: model is scripted after fx tracing, but beit has torch.jit.is_scripting() control flow
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EXCLUDE_FX_JIT_FILTERS = [
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# reason: model is scripted after fx tracing, but beit has torch.jit.is_scripting() control flow
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EXCLUDE_FX_JIT_FILTERS = [
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'deit_*_distilled_patch16_224',
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'levit*',
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'pit_*_distilled_224',
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] + EXCLUDE_FX_FILTERS
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] + EXCLUDE_FX_FILTERS
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@pytest.mark.timeout(120)
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@pytest.mark.parametrize(
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@pytest.mark.timeout(120)
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@pytest.mark.parametrize(
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'model_name', list_models(
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exclude_filters=EXCLUDE_FILTERS + EXCLUDE_JIT_FILTERS + EXCLUDE_FX_JIT_FILTERS, name_matches_cfg=True))
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@pytest.mark.parametrize('batch_size', [1])
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def test_model_forward_fx_torchscript(model_name, batch_size):
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@pytest.mark.parametrize('batch_size', [1])
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def test_model_forward_fx_torchscript(model_name, batch_size):
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"""Symbolically trace each model, script it, and run single forward pass"""
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if not has_fx_feature_extraction:
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pytest.skip("Can't test FX. Torch >= 1.10 and Torchvision >= 0.11 are required.")
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