53 lines
2.2 KiB
Python
53 lines
2.2 KiB
Python
#!/usr/bin/env python3
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# coding=utf-8
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# Copyright 2020 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Tests for Blenderbot Tokenizers, including common tests for BlenderbotSmallTokenizer."""
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import unittest
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from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
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from transformers.file_utils import cached_property
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class Blenderbot3BTokenizerTests(unittest.TestCase):
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@cached_property
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def tokenizer_3b(self):
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return BlenderbotTokenizer.from_pretrained("facebook/blenderbot-3B")
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@cached_property
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def rust_tokenizer_3b(self):
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return BlenderbotTokenizerFast.from_pretrained("facebook/blenderbot-3B")
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def test_encode_decode_cycle(self):
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tok = self.tokenizer_3b
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src_text = " I am a small frog."
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encoded = tok([src_text], padding=False, truncation=False)["input_ids"]
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decoded = tok.batch_decode(encoded, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
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assert src_text == decoded
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def test_encode_decode_cycle_rust_tokenizer(self):
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tok = self.rust_tokenizer_3b
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src_text = " I am a small frog."
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encoded = tok([src_text], padding=False, truncation=False)["input_ids"]
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decoded = tok.batch_decode(encoded, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
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assert src_text == decoded
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def test_3B_tokenization_same_as_parlai(self):
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assert self.tokenizer_3b.add_prefix_space
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assert self.tokenizer_3b([" Sam", "Sam"]).input_ids == [[5502, 2], [5502, 2]]
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def test_3B_tokenization_same_as_parlai_rust_tokenizer(self):
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assert self.rust_tokenizer_3b.add_prefix_space
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assert self.rust_tokenizer_3b([" Sam", "Sam"]).input_ids == [[5502, 2], [5502, 2]]
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