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Tokenizers should be framework agnostic (#8599)

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* Tokenizers should be framework agnostic

* Run the slow tests

* Not testing

* Fix documentation

* Apply suggestions from code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
This commit is contained in:
Lysandre Debut
2020-11-17 14:03:03 -05:00
committed by GitHub
parent 7f3b41a306
commit 3095ee9dab
28 changed files with 73 additions and 177 deletions
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20
tests/test_modeling_marian.py
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@@ -132,9 +132,9 @@ class MarianIntegrationTest(unittest.TestCase):
self.assertListEqual(self.expected_text, generated_words)
def translate_src_text(self, **tokenizer_kwargs):
model_inputs = self.tokenizer.prepare_seq2seq_batch(src_texts=self.src_text, **tokenizer_kwargs).to(
torch_device
)
model_inputs = self.tokenizer.prepare_seq2seq_batch(
src_texts=self.src_text, return_tensors="pt", **tokenizer_kwargs
).to(torch_device)
self.assertEqual(self.model.device, model_inputs.input_ids.device)
generated_ids = self.model.generate(
model_inputs.input_ids, attention_mask=model_inputs.attention_mask, num_beams=2, max_length=128
@@ -151,7 +151,9 @@ class TestMarian_EN_DE_More(MarianIntegrationTest):
src, tgt = ["I am a small frog"], ["Ich bin ein kleiner Frosch."]
expected_ids = [38, 121, 14, 697, 38848, 0]
model_inputs: dict = self.tokenizer.prepare_seq2seq_batch(src, tgt_texts=tgt).to(torch_device)
model_inputs: dict = self.tokenizer.prepare_seq2seq_batch(src, tgt_texts=tgt, return_tensors="pt").to(
torch_device
)
self.assertListEqual(expected_ids, model_inputs.input_ids[0].tolist())
@@ -171,12 +173,16 @@ class TestMarian_EN_DE_More(MarianIntegrationTest):
def test_unk_support(self):
t = self.tokenizer
ids = t.prepare_seq2seq_batch(["||"]).to(torch_device).input_ids[0].tolist()
ids = t.prepare_seq2seq_batch(["||"], return_tensors="pt").to(torch_device).input_ids[0].tolist()
expected = [t.unk_token_id, t.unk_token_id, t.eos_token_id]
self.assertEqual(expected, ids)
def test_pad_not_split(self):
input_ids_w_pad = self.tokenizer.prepare_seq2seq_batch(["I am a small frog <pad>"]).input_ids[0].tolist()
input_ids_w_pad = (
self.tokenizer.prepare_seq2seq_batch(["I am a small frog <pad>"], return_tensors="pt")
.input_ids[0]
.tolist()
)
expected_w_pad = [38, 121, 14, 697, 38848, self.tokenizer.pad_token_id, 0] # pad
self.assertListEqual(expected_w_pad, input_ids_w_pad)
@@ -294,7 +300,7 @@ class TestMarian_en_ROMANCE(MarianIntegrationTest):
normalized = self.tokenizer.normalize("")
self.assertIsInstance(normalized, str)
with self.assertRaises(ValueError):
self.tokenizer.prepare_seq2seq_batch([""])
self.tokenizer.prepare_seq2seq_batch([""], return_tensors="pt")
@slow
def test_pipeline(self):