Module neuralops.tests.test_integration_pipeline

End-to-end integration tests for the full pipeline.

Classes

class TestCrossModuleCompat

Expand source code

@pytest.mark.integration
class TestCrossModuleCompat:
    """Test registry stability and cross-module registration compatibility."""

    def test_attentions_registry_stable(self):
        from neuralops.core.registry import ATTENTION_REGISTRY
        import neuralops.attentions  # noqa: F401
        assert len(ATTENTION_REGISTRY.keys()) == 159

    def test_compressors_registry_stable(self):
        from neuralops.core.registry import COMPRESSOR_REGISTRY
        import neuralops.compression_engine  # noqa: F401
        assert len(COMPRESSOR_REGISTRY.keys()) == 73

    def test_deprecated_aliases_work(self):
        from neuralops.core.registry import ATTENTION_REGISTRY
        import neuralops.attentions  # noqa: F401

        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
            cls = ATTENTION_REGISTRY.get("aegis_v2")
        assert cls is not None

Test registry stability and cross-module registration compatibility.

Class variables

var pytestmark

The type of the None singleton.

Methods

def test_attentions_registry_stable(self)

Expand source code

def test_attentions_registry_stable(self):
    from neuralops.core.registry import ATTENTION_REGISTRY
    import neuralops.attentions  # noqa: F401
    assert len(ATTENTION_REGISTRY.keys()) == 159

def test_compressors_registry_stable(self)

Expand source code

def test_compressors_registry_stable(self):
    from neuralops.core.registry import COMPRESSOR_REGISTRY
    import neuralops.compression_engine  # noqa: F401
    assert len(COMPRESSOR_REGISTRY.keys()) == 73

def test_deprecated_aliases_work(self)

Expand source code

def test_deprecated_aliases_work(self):
    from neuralops.core.registry import ATTENTION_REGISTRY
    import neuralops.attentions  # noqa: F401

    with warnings.catch_warnings():
        warnings.simplefilter("ignore")
        cls = ATTENTION_REGISTRY.get("aegis_v2")
    assert cls is not None

class TestFullPipeline

Expand source code

@pytest.mark.integration
class TestFullPipeline:
    """End-to-end pipeline execution smoke tests."""

    @pytest.mark.slow
    def test_attention_injection_pipeline(self):
        """Zero-shot attention injection on small model architecture."""
        pytest.importorskip("transformers")
        from transformers import AutoModel, AutoConfig
        from neuralops.core.replace_attention import replace_attention_in_model
        from neuralops.core.registry import ATTENTION_REGISTRY
        import neuralops.attentions  # noqa: F401

        cfg = AutoConfig.from_pretrained("distilbert-base-uncased")
        cfg.n_layers = 1
        model = AutoModel.from_config(cfg)

        model = replace_attention_in_model(model, "svd_linear_attention")

        x = torch.randint(0, 100, (2, 16))
        with torch.no_grad():
            out = model(x)
        assert out is not None

End-to-end pipeline execution smoke tests.

Class variables

var pytestmark

The type of the None singleton.

Methods

def test_attention_injection_pipeline(self)

Expand source code

@pytest.mark.slow
def test_attention_injection_pipeline(self):
    """Zero-shot attention injection on small model architecture."""
    pytest.importorskip("transformers")
    from transformers import AutoModel, AutoConfig
    from neuralops.core.replace_attention import replace_attention_in_model
    from neuralops.core.registry import ATTENTION_REGISTRY
    import neuralops.attentions  # noqa: F401

    cfg = AutoConfig.from_pretrained("distilbert-base-uncased")
    cfg.n_layers = 1
    model = AutoModel.from_config(cfg)

    model = replace_attention_in_model(model, "svd_linear_attention")

    x = torch.randint(0, 100, (2, 16))
    with torch.no_grad():
        out = model(x)
    assert out is not None

Zero-shot attention injection on small model architecture.