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# coding=utf-8 | |
# Copyright 2018 HuggingFace Inc. team. | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
from transformers.models.cpm.tokenization_cpm import CpmTokenizer | |
from transformers.testing_utils import custom_tokenizers | |
from ..xlnet.test_modeling_xlnet import XLNetModelTest | |
class CpmTokenizationTest(XLNetModelTest): | |
# There is no `CpmModel` | |
def is_pipeline_test_to_skip( | |
self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name | |
): | |
return True | |
def test_pre_tokenization(self): | |
tokenizer = CpmTokenizer.from_pretrained("TsinghuaAI/CPM-Generate") | |
text = "Hugging Face大法好,谁用谁知道。" | |
normalized_text = "Hugging Face大法好,谁用谁知道。<unk>" | |
bpe_tokens = "▁Hu gg ing ▁ ▂ ▁F ace ▁大法 ▁好 ▁ , ▁谁 ▁用 ▁谁 ▁知 道 ▁ 。".split() | |
tokens = tokenizer.tokenize(text) | |
self.assertListEqual(tokens, bpe_tokens) | |
input_tokens = tokens + [tokenizer.unk_token] | |
input_bpe_tokens = [13789, 13283, 1421, 8, 10, 1164, 13608, 16528, 63, 8, 9, 440, 108, 440, 121, 90, 8, 12, 0] | |
self.assertListEqual(tokenizer.convert_tokens_to_ids(input_tokens), input_bpe_tokens) | |
reconstructed_text = tokenizer.decode(input_bpe_tokens) | |
self.assertEqual(reconstructed_text, normalized_text) | |