From 7ade7c1794882b865fc730f20ed114a4407c54d5 Mon Sep 17 00:00:00 2001 From: Nicolas Patry Date: Fri, 4 Mar 2022 12:32:19 +0100 Subject: [PATCH] Updating the slow tests: (#15893) Linked to https://github.com/huggingface/transformers/pull/15826 --- .../test_pipelines_image_segmentation.py | 42 +++++++++---------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/tests/pipelines/test_pipelines_image_segmentation.py b/tests/pipelines/test_pipelines_image_segmentation.py index d0f9c4f946..ffc3ff8821 100644 --- a/tests/pipelines/test_pipelines_image_segmentation.py +++ b/tests/pipelines/test_pipelines_image_segmentation.py @@ -247,12 +247,12 @@ class ImageSegmentationPipelineTests(unittest.TestCase, metaclass=PipelineTestCa self.assertEqual( nested_simplify(outputs, decimals=4), [ - {"score": 0.9094, "label": "blanket", "mask": "36517c16f4356f7af4b298f4eae387f9fe37eaf8"}, - {"score": 0.9941, "label": "cat", "mask": "d63196cbe08c7655c158dbabbc5e6b413cbb3b2d"}, - {"score": 0.9987, "label": "remote", "mask": "4e190e0c3934ad852aaa51aa2c54e314b9a1152e"}, - {"score": 0.9995, "label": "remote", "mask": "39dc07a07238048a06b0c2474de01ba3c09cc44f"}, - {"score": 0.9722, "label": "couch", "mask": "df5815755b6bcf328f6b6811f8794cad26f79b35"}, - {"score": 0.9994, "label": "cat", "mask": "88b37bd2202c750cc9dd191518050a9b0ca5228c"}, + {"score": 0.9094, "label": "blanket", "mask": "85144e4bf8d624c2c6175f7faf57eb30"}, + {"score": 0.9941, "label": "cat", "mask": "f3a7f80220788acc0245ebc084df6afc"}, + {"score": 0.9987, "label": "remote", "mask": "7703408f54da1d0ebda47841da875e48"}, + {"score": 0.9995, "label": "remote", "mask": "bd726918f10fed3efaef0091e11f923b"}, + {"score": 0.9722, "label": "couch", "mask": "226d6dcb98bebc3fbc208abdc0c83196"}, + {"score": 0.9994, "label": "cat", "mask": "fa5d8d5c329546ba5339f3095641ef56"}, ], ) @@ -265,26 +265,26 @@ class ImageSegmentationPipelineTests(unittest.TestCase, metaclass=PipelineTestCa ) for output in outputs: for o in output: - o["mask"] = hashlib.sha1(o["mask"].encode("UTF-8")).hexdigest() + o["mask"] = hashimage(o["mask"]) self.assertEqual( nested_simplify(outputs, decimals=4), [ [ - {"score": 0.9094, "label": "blanket", "mask": "36517c16f4356f7af4b298f4eae387f9fe37eaf8"}, - {"score": 0.9941, "label": "cat", "mask": "d63196cbe08c7655c158dbabbc5e6b413cbb3b2d"}, - {"score": 0.9987, "label": "remote", "mask": "4e190e0c3934ad852aaa51aa2c54e314b9a1152e"}, - {"score": 0.9995, "label": "remote", "mask": "39dc07a07238048a06b0c2474de01ba3c09cc44f"}, - {"score": 0.9722, "label": "couch", "mask": "df5815755b6bcf328f6b6811f8794cad26f79b35"}, - {"score": 0.9994, "label": "cat", "mask": "88b37bd2202c750cc9dd191518050a9b0ca5228c"}, + {"score": 0.9094, "label": "blanket", "mask": "85144e4bf8d624c2c6175f7faf57eb30"}, + {"score": 0.9941, "label": "cat", "mask": "f3a7f80220788acc0245ebc084df6afc"}, + {"score": 0.9987, "label": "remote", "mask": "7703408f54da1d0ebda47841da875e48"}, + {"score": 0.9995, "label": "remote", "mask": "bd726918f10fed3efaef0091e11f923b"}, + {"score": 0.9722, "label": "couch", "mask": "226d6dcb98bebc3fbc208abdc0c83196"}, + {"score": 0.9994, "label": "cat", "mask": "fa5d8d5c329546ba5339f3095641ef56"}, ], [ - {"score": 0.9094, "label": "blanket", "mask": "36517c16f4356f7af4b298f4eae387f9fe37eaf8"}, - {"score": 0.9941, "label": "cat", "mask": "d63196cbe08c7655c158dbabbc5e6b413cbb3b2d"}, - {"score": 0.9987, "label": "remote", "mask": "4e190e0c3934ad852aaa51aa2c54e314b9a1152e"}, - {"score": 0.9995, "label": "remote", "mask": "39dc07a07238048a06b0c2474de01ba3c09cc44f"}, - {"score": 0.9722, "label": "couch", "mask": "df5815755b6bcf328f6b6811f8794cad26f79b35"}, - {"score": 0.9994, "label": "cat", "mask": "88b37bd2202c750cc9dd191518050a9b0ca5228c"}, + {"score": 0.9094, "label": "blanket", "mask": "85144e4bf8d624c2c6175f7faf57eb30"}, + {"score": 0.9941, "label": "cat", "mask": "f3a7f80220788acc0245ebc084df6afc"}, + {"score": 0.9987, "label": "remote", "mask": "7703408f54da1d0ebda47841da875e48"}, + {"score": 0.9995, "label": "remote", "mask": "bd726918f10fed3efaef0091e11f923b"}, + {"score": 0.9722, "label": "couch", "mask": "226d6dcb98bebc3fbc208abdc0c83196"}, + {"score": 0.9994, "label": "cat", "mask": "fa5d8d5c329546ba5339f3095641ef56"}, ], ], ) @@ -305,8 +305,8 @@ class ImageSegmentationPipelineTests(unittest.TestCase, metaclass=PipelineTestCa self.assertEqual( nested_simplify(outputs, decimals=4), [ - {"score": 0.9995, "label": "remote", "mask": "39dc07a07238048a06b0c2474de01ba3c09cc44f"}, - {"score": 0.9994, "label": "cat", "mask": "88b37bd2202c750cc9dd191518050a9b0ca5228c"}, + {"score": 0.9995, "label": "remote", "mask": "bd726918f10fed3efaef0091e11f923b"}, + {"score": 0.9994, "label": "cat", "mask": "fa5d8d5c329546ba5339f3095641ef56"}, ], )