Skip tests properly (#31308)
* Skip tests properly * [test_all] * Add 'reason' as kwarg for skipTest * [test_all] Fix up * [test_all]
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@@ -397,11 +397,11 @@ class MistralModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
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(self.model_tester.batch_size, self.model_tester.seq_length, self.model_tester.num_labels),
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)
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@unittest.skip("Mistral buffers include complex numbers, which breaks this test")
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@unittest.skip(reason="Mistral buffers include complex numbers, which breaks this test")
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def test_save_load_fast_init_from_base(self):
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pass
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@unittest.skip("Mistral uses GQA on all models so the KV cache is a non standard format")
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@unittest.skip(reason="Mistral uses GQA on all models so the KV cache is a non standard format")
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def test_past_key_values_format(self):
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pass
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@@ -489,7 +489,7 @@ class MistralModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
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@pytest.mark.flash_attn_test
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@slow
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def test_flash_attn_2_inference_equivalence_right_padding(self):
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self.skipTest("Mistral flash attention does not support right padding")
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self.skipTest(reason="Mistral flash attention does not support right padding")
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@require_torch_gpu
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@@ -647,10 +647,10 @@ class MistralIntegrationTest(unittest.TestCase):
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# `torch==2.2` will throw an error on this test (as in other compilation tests), but torch==2.1.2 and torch>2.2
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# work as intended. See https://github.com/pytorch/pytorch/issues/121943
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if version.parse(torch.__version__) < version.parse("2.3.0"):
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self.skipTest("This test requires torch >= 2.3 to run.")
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self.skipTest(reason="This test requires torch >= 2.3 to run.")
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if self.cuda_compute_capability_major_version == 7:
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self.skipTest("This test is failing (`torch.compile` fails) on Nvidia T4 GPU.")
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self.skipTest(reason="This test is failing (`torch.compile` fails) on Nvidia T4 GPU.")
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NUM_TOKENS_TO_GENERATE = 40
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EXPECTED_TEXT_COMPLETION = {
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