[tests] refactor autoencoderkl tests#13368
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@DN6 a gentle ping. |
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| @@ -362,10 +359,7 @@ def test_stable_diffusion_decode_xformers_vs_2_0_fp16(self, seed): | |||
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| @parameterized.expand([(13,), (16,), (37,)]) | |||
| @require_torch_gpu | |||
| @unittest.skipIf( | |||
| not is_xformers_available(), | |||
| reason="xformers is not required when using PyTorch 2.0.", | |||
| ) | |||
| @pytest.mark.skipif(not is_xformers_available(), reason="xformers is not required when using PyTorch 2.0.") | |||
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Why don't we remove these xformers tests? They're not as relevant and we rely on set_attention_backend for this functionality.
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Do we support set_attention_backend() on AutoencoderKL? I don't think we do.
I don't think this was a merge blocker 😅
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@DN6 a gentle ping. |
DN6
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May 11, 2026
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May 12, 2026
* refactor autoencoderkl tests * fix tests * confirm coverage * up
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