| ============================= 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 ========================= | |