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48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
import pytest
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from refiners.fluxion.utils import no_grad
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from refiners.foundationals.latent_diffusion import SD1UNet
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from refiners.foundationals.latent_diffusion.cross_attention import CrossAttentionBlock
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from refiners.foundationals.latent_diffusion.reference_only_control import (
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ReferenceOnlyControlAdapter,
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SaveLayerNormAdapter,
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SelfAttentionInjectionAdapter,
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SelfAttentionInjectionPassthrough,
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)
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@no_grad()
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def test_refonly_inject_eject() -> None:
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unet = SD1UNet(in_channels=9)
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adapter = ReferenceOnlyControlAdapter(unet)
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nb_cross_attention_blocks = len(list(unet.walk(CrossAttentionBlock)))
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assert nb_cross_attention_blocks > 0
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assert unet.parent is None
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assert len(list(unet.walk(SelfAttentionInjectionPassthrough))) == 0
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assert len(list(unet.walk(SaveLayerNormAdapter))) == 0
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assert len(list(unet.walk(SelfAttentionInjectionAdapter))) == 0
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with pytest.raises(AssertionError) as exc:
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adapter.eject()
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assert "not the first element" in str(exc.value)
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adapter.inject()
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assert unet.parent == adapter
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assert len(list(unet.walk(SelfAttentionInjectionPassthrough))) == 1
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assert len(list(unet.walk(SaveLayerNormAdapter))) == nb_cross_attention_blocks
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assert len(list(unet.walk(SelfAttentionInjectionAdapter))) == nb_cross_attention_blocks
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with pytest.raises(AssertionError) as exc:
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adapter.inject()
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assert "already injected" in str(exc.value)
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adapter.eject()
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assert unet.parent is None
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assert len(list(unet.walk(SelfAttentionInjectionPassthrough))) == 0
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assert len(list(unet.walk(SaveLayerNormAdapter))) == 0
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assert len(list(unet.walk(SelfAttentionInjectionAdapter))) == 0
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