Exposing prepare_for_model for both slow & fast tokenizers (#5479)

* Exposing prepare_for_model for both slow & fast tokenizers

* Update method signature

* The traditional style commit

* Hide the warnings behind the verbose flag

* update default truncation strategy and prepare_for_model

* fix tests and prepare_for_models methods

Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>
This commit is contained in:
Lysandre Debut
2020-07-03 10:51:21 -04:00
committed by GitHub
parent 814ed7ee76
commit 17ade127b9
4 changed files with 285 additions and 205 deletions

View File

@@ -90,6 +90,7 @@ class CommonFastTokenizerTest(unittest.TestCase):
self.assert_embeded_special_tokens(tokenizer_r, tokenizer_p)
self.assert_padding(tokenizer_r, tokenizer_p)
self.assert_create_token_type_ids(tokenizer_r, tokenizer_p)
self.assert_prepare_for_model(tokenizer_r, tokenizer_p)
# TODO: enable for v3.0.0
# self.assert_empty_output_no_special_tokens(tokenizer_r, tokenizer_p)
@@ -709,6 +710,12 @@ class CommonFastTokenizerTest(unittest.TestCase):
for i_no, i_with in zip(no_special_tokens[key], with_special_tokens[key]):
self.assertEqual(len(i_no), len(i_with) - simple_num_special_tokens_to_add)
def assert_prepare_for_model(self, tokenizer_r, tokenizer_p):
string_sequence = "Asserting that both tokenizers are equal"
python_output = tokenizer_p.prepare_for_model(tokenizer_p.encode(string_sequence))
rust_output = tokenizer_r.prepare_for_model(tokenizer_r.encode(string_sequence))
self.assertEqual(python_output, rust_output)
class WordPieceFastTokenizerTest(CommonFastTokenizerTest):
"""