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明确受影响的模型(damo): ONE-PEACE-4B ModuleNotFoundError: MyCustomPipeline: MyCustomModel: No module named 'one_peace',缺少依赖。 cv_resnet50_face-reconstruction 不兼容tf2 nlp_automatic_post_editing_for_translation_en2de tf2.0兼容性问题,tf1.x需要 cv_resnet18_ocr-detection-word-level_damo tf2.x兼容性问题 cv_resnet18_ocr-detection-line-level_damo tf兼容性问题 cv_resnet101_detection_fewshot-defrcn 模型限制必须detection0.3+torch1.11.0" speech_dfsmn_ans_psm_48k_causal "librosa, numpy兼容性问题 cv_mdm_motion-generation "依赖numpy版本兼容性问题: File ""/opt/conda/lib/python3.8/site-packages/smplx/body_models.py"", cv_resnet50_ocr-detection-vlpt numpy兼容性问题 cv_clip-it_video-summarization_language-guided_en tf兼容性问题 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/13744636 * numpy and pandas no version * modify compatible issue * fix numpy compatible issue * modify ci * fix lint issue * replace Image.ANTIALIAS to Image.Resampling.LANCZOS pillow compatible * skip uncompatible cases * fix numpy compatible issue, skip cases that can not compatbile numpy or tensorflow2.x * skip compatible cases * fix clip model issue * fix body 3d keypoints compatible issue
33 lines
1.0 KiB
Python
33 lines
1.0 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import os
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import shutil
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import tempfile
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import unittest
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from collections import OrderedDict
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from modelscope.exporters import Exporter
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from modelscope.models import Model
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from modelscope.utils.constant import Tasks
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from modelscope.utils.test_utils import test_level
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@unittest.skip('For torch bug: https://github.com/pytorch/pytorch/pull/99658')
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class TestExportStableDiffusion(unittest.TestCase):
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def setUp(self):
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print(('Testing %s.%s' % (type(self).__name__, self._testMethodName)))
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self.tmp_dir = tempfile.TemporaryDirectory().name
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if not os.path.exists(self.tmp_dir):
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os.makedirs(self.tmp_dir)
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self.model_id = 'AI-ModelScope/stable-diffusion-v1-5'
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_export_stable_diffusion(self):
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model = Model.from_pretrained(self.model_id)
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Exporter.from_model(model).export_onnx(
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output_path=self.tmp_dir, opset=14)
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if __name__ == '__main__':
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unittest.main()
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