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[Tests, GPU, SLOW] fix a bunch of GPU hardcoded tests in Pytorch (#4468)

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* fix gpu slow tests in pytorch

* change model to device syntax
This commit is contained in:
Patrick von Platen
2020-05-19 21:35:04 +02:00
committed by GitHub
parent 5856999a9f
commit aa925a52fa
11 changed files with 28 additions and 11 deletions
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tests/test_modeling_xlm.py
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@@ -434,6 +434,7 @@ class XLMModelLanguageGenerationTest(unittest.TestCase):
@slow
def test_lm_generate_xlm_mlm_en_2048(self):
model = XLMWithLMHeadModel.from_pretrained("xlm-mlm-en-2048")
model.to(torch_device)
input_ids = torch.tensor([[14, 447]], dtype=torch.long, device=torch_device) # the president
expected_output_ids = [
14,
@@ -459,4 +460,4 @@ class XLMModelLanguageGenerationTest(unittest.TestCase):
] # the president the president the president the president the president the president the president the president the president the president
# TODO(PVP): this and other input_ids I tried for generation give pretty bad results. Not sure why. Model might just not be made for auto-regressive inference
output_ids = model.generate(input_ids, do_sample=False)
self.assertListEqual(output_ids[0].numpy().tolist(), expected_output_ids)
self.assertListEqual(output_ids[0].cpu().numpy().tolist(), expected_output_ids)