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Updating the slow tests: (#15893)

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Linked to https://github.com/huggingface/transformers/pull/15826
This commit is contained in:
Nicolas Patry
2022-03-04 12:32:19 +01:00
committed by GitHub
parent 6b104c5bb0
commit 7ade7c1794
1 changed files with 21 additions and 21 deletions
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42
tests/pipelines/test_pipelines_image_segmentation.py
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@@ -247,12 +247,12 @@ class ImageSegmentationPipelineTests(unittest.TestCase, metaclass=PipelineTestCa
self.assertEqual( self.assertEqual(
nested_simplify(outputs, decimals=4), nested_simplify(outputs, decimals=4),
[ [
{"score": 0.9094, "label": "blanket", "mask": "36517c16f4356f7af4b298f4eae387f9fe37eaf8"}, {"score": 0.9094, "label": "blanket", "mask": "85144e4bf8d624c2c6175f7faf57eb30"},
{"score": 0.9941, "label": "cat", "mask": "d63196cbe08c7655c158dbabbc5e6b413cbb3b2d"}, {"score": 0.9941, "label": "cat", "mask": "f3a7f80220788acc0245ebc084df6afc"},
{"score": 0.9987, "label": "remote", "mask": "4e190e0c3934ad852aaa51aa2c54e314b9a1152e"}, {"score": 0.9987, "label": "remote", "mask": "7703408f54da1d0ebda47841da875e48"},
{"score": 0.9995, "label": "remote", "mask": "39dc07a07238048a06b0c2474de01ba3c09cc44f"}, {"score": 0.9995, "label": "remote", "mask": "bd726918f10fed3efaef0091e11f923b"},
{"score": 0.9722, "label": "couch", "mask": "df5815755b6bcf328f6b6811f8794cad26f79b35"}, {"score": 0.9722, "label": "couch", "mask": "226d6dcb98bebc3fbc208abdc0c83196"},
{"score": 0.9994, "label": "cat", "mask": "88b37bd2202c750cc9dd191518050a9b0ca5228c"}, {"score": 0.9994, "label": "cat", "mask": "fa5d8d5c329546ba5339f3095641ef56"},
], ],
) )
@@ -265,26 +265,26 @@ class ImageSegmentationPipelineTests(unittest.TestCase, metaclass=PipelineTestCa
) )
for output in outputs: for output in outputs:
for o in output: for o in output:
o["mask"] = hashlib.sha1(o["mask"].encode("UTF-8")).hexdigest() o["mask"] = hashimage(o["mask"])
self.assertEqual( self.assertEqual(
nested_simplify(outputs, decimals=4), nested_simplify(outputs, decimals=4),
[ [
[ [
{"score": 0.9094, "label": "blanket", "mask": "36517c16f4356f7af4b298f4eae387f9fe37eaf8"}, {"score": 0.9094, "label": "blanket", "mask": "85144e4bf8d624c2c6175f7faf57eb30"},
{"score": 0.9941, "label": "cat", "mask": "d63196cbe08c7655c158dbabbc5e6b413cbb3b2d"}, {"score": 0.9941, "label": "cat", "mask": "f3a7f80220788acc0245ebc084df6afc"},
{"score": 0.9987, "label": "remote", "mask": "4e190e0c3934ad852aaa51aa2c54e314b9a1152e"}, {"score": 0.9987, "label": "remote", "mask": "7703408f54da1d0ebda47841da875e48"},
{"score": 0.9995, "label": "remote", "mask": "39dc07a07238048a06b0c2474de01ba3c09cc44f"}, {"score": 0.9995, "label": "remote", "mask": "bd726918f10fed3efaef0091e11f923b"},
{"score": 0.9722, "label": "couch", "mask": "df5815755b6bcf328f6b6811f8794cad26f79b35"}, {"score": 0.9722, "label": "couch", "mask": "226d6dcb98bebc3fbc208abdc0c83196"},
{"score": 0.9994, "label": "cat", "mask": "88b37bd2202c750cc9dd191518050a9b0ca5228c"}, {"score": 0.9994, "label": "cat", "mask": "fa5d8d5c329546ba5339f3095641ef56"},
], ],
[ [
{"score": 0.9094, "label": "blanket", "mask": "36517c16f4356f7af4b298f4eae387f9fe37eaf8"}, {"score": 0.9094, "label": "blanket", "mask": "85144e4bf8d624c2c6175f7faf57eb30"},
{"score": 0.9941, "label": "cat", "mask": "d63196cbe08c7655c158dbabbc5e6b413cbb3b2d"}, {"score": 0.9941, "label": "cat", "mask": "f3a7f80220788acc0245ebc084df6afc"},
{"score": 0.9987, "label": "remote", "mask": "4e190e0c3934ad852aaa51aa2c54e314b9a1152e"}, {"score": 0.9987, "label": "remote", "mask": "7703408f54da1d0ebda47841da875e48"},
{"score": 0.9995, "label": "remote", "mask": "39dc07a07238048a06b0c2474de01ba3c09cc44f"}, {"score": 0.9995, "label": "remote", "mask": "bd726918f10fed3efaef0091e11f923b"},
{"score": 0.9722, "label": "couch", "mask": "df5815755b6bcf328f6b6811f8794cad26f79b35"}, {"score": 0.9722, "label": "couch", "mask": "226d6dcb98bebc3fbc208abdc0c83196"},
{"score": 0.9994, "label": "cat", "mask": "88b37bd2202c750cc9dd191518050a9b0ca5228c"}, {"score": 0.9994, "label": "cat", "mask": "fa5d8d5c329546ba5339f3095641ef56"},
], ],
], ],
) )
@@ -305,8 +305,8 @@ class ImageSegmentationPipelineTests(unittest.TestCase, metaclass=PipelineTestCa
self.assertEqual( self.assertEqual(
nested_simplify(outputs, decimals=4), nested_simplify(outputs, decimals=4),
[ [
{"score": 0.9995, "label": "remote", "mask": "39dc07a07238048a06b0c2474de01ba3c09cc44f"}, {"score": 0.9995, "label": "remote", "mask": "bd726918f10fed3efaef0091e11f923b"},
{"score": 0.9994, "label": "cat", "mask": "88b37bd2202c750cc9dd191518050a9b0ca5228c"}, {"score": 0.9994, "label": "cat", "mask": "fa5d8d5c329546ba5339f3095641ef56"},
], ],
) )