============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-8.2.0, pluggy-1.5.0
rootdir: /diffusers
configfile: pyproject.toml
plugins: xdist-3.6.1, timeout-2.3.1, requests-mock-1.10.0
collected 3 items

tests/single_file/test_model_vae_single_file.py ..F                      [100%]

=================================== FAILURES ===================================
__ AutoencoderKLSingleFileTests.test_single_file_inference_same_as_pretrained __

self = <tests.single_file.test_model_vae_single_file.AutoencoderKLSingleFileTests testMethod=test_single_file_inference_same_as_pretrained>

    def test_single_file_inference_same_as_pretrained(self):
        model_1 = self.model_class.from_pretrained(self.repo_id, subfolder="vae").to(torch_device)
        model_2 = self.model_class.from_single_file(self.ckpt_path).to(torch_device)
    
        image = self.get_sd_image(33)
    
        with torch.no_grad():
            sample_1 = model_1(image).sample
            sample_2 = model_2(image).sample
    
        assert sample_1.shape == sample_2.shape
    
        output_slice_1 = sample_1[-1, -2:, -2:, :2].flatten().float().cpu()
        output_slice_2 = sample_2[-1, -2:, -2:, :2].flatten().float().cpu()
    
>       assert torch_all_close(output_slice_1, output_slice_2, atol=3e-3)

tests/single_file/test_model_vae_single_file.py:81: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

a = tensor([-0.1609,  0.9866, -0.0487, -0.0777, -0.2716,  0.8368, -0.2055, -0.0814])
b = tensor([-0.1320, -0.0016,  0.0303,  0.0990, -0.1214, -0.1188, -0.0463, -0.0008])
args = (), kwargs = {'atol': 0.003}

    def torch_all_close(a, b, *args, **kwargs):
        if not is_torch_available():
            raise ValueError("PyTorch needs to be installed to use this function.")
        if not torch.allclose(a, b, *args, **kwargs):
>           assert False, f"Max diff is absolute {(a - b).abs().max()}. Diff tensor is {(a - b).abs()}."
E           AssertionError: Max diff is absolute 0.9882212281227112. Diff tensor is tensor([0.0288, 0.9882, 0.0790, 0.1767, 0.1501, 0.9556, 0.1592, 0.0806]).

src/diffusers/utils/testing_utils.py:97: AssertionError
=========================== short test summary info ============================
FAILED tests/single_file/test_model_vae_single_file.py::AutoencoderKLSingleFileTests::test_single_file_inference_same_as_pretrained
========================= 1 failed, 2 passed in 17.25s =========================