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[fix] FSMT slow test uses lists instead of torch tensors #8031

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Oct 26, 2020
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[fix] FSMT slow test uses lists instead of torch tensors #8031

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6 changes: 3 additions & 3 deletions tests/test_tokenization_fsmt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -144,11 +144,11 @@ def test_match_encode_decode(self):
# for src_text, _ in targets: print(f"""[\n"{src_text}",\n {model.encode(src_text).tolist()}\n],""")

for src_text, tgt_input_ids in targets:
input_ids = tokenizer_enc.encode(src_text, return_tensors="pt")[0].tolist()
self.assertListEqual(input_ids, tgt_input_ids)
encoded_ids = tokenizer_enc.encode(src_text, return_tensors=None)
self.assertListEqual(encoded_ids, tgt_input_ids)

# and decode backward, using the reversed languages model
decoded_text = tokenizer_dec.decode(input_ids, skip_special_tokens=True)
decoded_text = tokenizer_dec.decode(encoded_ids, skip_special_tokens=True)
self.assertEqual(decoded_text, src_text)

@unittest.skip("FSMTConfig.__init__ requires non-optional args")
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