init

transformers/tests/models/cpm/test_tokenization_cpm.py

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+# 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.
+
+import unittest
+
+from transformers.models.cpm.tokenization_cpm import CpmTokenizer
+from transformers.testing_utils import custom_tokenizers
+
+
+@custom_tokenizers
+class CpmTokenizationTest(unittest.TestCase):
+    # There is no `CpmModel`
+    def is_pipeline_test_to_skip(
+        self,
+        pipeline_test_case_name,
+        config_class,
+        model_architecture,
+        tokenizer_name,
+        image_processor_name,
+        feature_extractor_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)