chore: import upstream snapshot with attribution
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from diffusers.models.autoencoders.autoencoder_kl import AutoencoderKL
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from invokeai.backend.stable_diffusion.vae_tiling import patch_vae_tiling_params
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def test_patch_vae_tiling_params():
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"""Smoke test the patch_vae_tiling_params(...) context manager. The main purpose of this unit test is to detect if
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diffusers ever changes the attributes of the AutoencoderKL class that we expect to exist.
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"""
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vae = AutoencoderKL()
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with patch_vae_tiling_params(vae, 1, 2, 3):
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pass
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