updated all tests
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@@ -403,7 +403,7 @@ class XLMModelLanguageGenerationTest(unittest.TestCase):
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@slow
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def test_lm_generate_xlm_mlm_en_2048(self):
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model = XLMWithLMHeadModel.from_pretrained("xlm-mlm-en-2048")
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input_ids = torch.Tensor([[1, 14, 2232, 26, 1]]).long() # The dog is cute
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input_ids = torch.tensor([[1, 14, 2232, 26, 1]], dtype=torch.long, device=torch_device) # The dog is cute
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expected_output_ids = [
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1,
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14,
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@@ -426,8 +426,5 @@ class XLMModelLanguageGenerationTest(unittest.TestCase):
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149,
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149,
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] # The dog is nothing is it!!!!!!!!!!!! TODO (PVP): this sentence (and others I tried) does not make much sense, there seems to be a problem with xlm language generation.
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torch.manual_seed(0)
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output_ids = model.generate(input_ids)
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self.assertListEqual(output_ids[0].tolist(), expected_output_ids)
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self.assertListEqual(output_ids[0].tolist(), expected_output_ids, do_sample=False)
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