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75 lines
4.3 KiB
Python
75 lines
4.3 KiB
Python
# Copyright 2026 The HuggingFace Inc. 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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import unittest
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import torch
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from transformers import VideoPrismTokenizer
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from transformers.testing_utils import require_tokenizers
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from ...test_tokenization_common import TokenizerTesterMixin
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# Golden token ids from convert_videoprism_weights_to_hf.py
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VIDEO_PRISM_DEMO_SENTENCES = [
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[262, 266, 768, 267, 1376, 14293, 259],
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[262, 266, 768, 267, 2865, 259],
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[262, 266, 768, 267, 1376, 20682, 259],
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[262, 266, 768, 267, 1376, 289, 10691, 259],
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[262, 266, 768, 267, 4605, 259],
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]
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TEXT_QUERY_CSV = "playing drums,sitting,playing flute,playing at playground,concert"
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PROMPT_TEMPLATE = "a video of {}."
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VIDEO_PRISM_DEMO_TEXT = [PROMPT_TEMPLATE.format(t) for t in TEXT_QUERY_CSV.split(",")]
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@require_tokenizers
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class VideoPrismTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
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tokenizer_class = VideoPrismTokenizer
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from_pretrained_id = "google/videoprism-lvt-base-f16r288"
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from_pretrained_kwargs = {"revision": "refs/pr/2"}
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integration_expected_tokens = ['▁This', '▁is', '▁', 'a', '▁test', '▁', '😊', '▁I', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', 'é', '.', '▁', '生活的真谛是', '▁Hi', '▁Hello', '▁Hi', '▁Hello', '▁Hello', '<s>', '▁hi', '<s>', '▁there', '▁The', '▁following', '▁string', '▁should', '▁be', '▁properly', '▁', 'encoded', ':', '▁Hello', '.', '▁But', '▁', 'i', 'r', 'd', '▁and', '▁', 'ปี', '▁', 'i', 'r', 'd', '▁', 'ด', '▁Hey', '▁how', '▁are', '▁you', '▁doing'] # fmt: skip
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integration_expected_token_ids = [330, 269, 262, 266, 937, 262, 2, 274, 292, 1700, 268, 914, 12125, 261, 263, 291, 269, 16201, 264, 2083, 259, 262, 2, 2038, 5930, 2038, 5930, 5930, 32100, 7808, 32100, 354, 281, 840, 4652, 412, 282, 2366, 262, 25966, 304, 5930, 259, 464, 262, 302, 331, 303, 263, 262, 2, 262, 302, 331, 303, 262, 2, 6919, 364, 280, 273, 742] # fmt: skip
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expected_tokens_from_ids = ['▁This', '▁is', '▁', 'a', '▁test', '▁', '<unk>', '▁I', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', 'é', '.', '▁', '<unk>', '▁Hi', '▁Hello', '▁Hi', '▁Hello', '▁Hello', '<s>', '▁hi', '<s>', '▁there', '▁The', '▁following', '▁string', '▁should', '▁be', '▁properly', '▁', 'encoded', ':', '▁Hello', '.', '▁But', '▁', 'i', 'r', 'd', '▁and', '▁', '<unk>', '▁', 'i', 'r', 'd', '▁', '<unk>', '▁Hey', '▁how', '▁are', '▁you', '▁doing'] # fmt: skip
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integration_expected_decoded_text = "This is a test <unk> I was born in 92000, and this is falsé. <unk> Hi Hello Hi Hello Hello<s> hi<s> there The following string should be properly encoded: Hello. But ird and <unk> ird <unk> Hey how are you doing"
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def test_pad_token_id(self):
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tokenizer = self.get_tokenizer()
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self.assertEqual(tokenizer.pad_token_id, 0)
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def test_vocab_size(self):
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tokenizer = self.get_tokenizer()
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self.assertGreaterEqual(tokenizer.vocab_size, 32000)
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def test_no_eos_appended(self):
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tokenizer = self.get_tokenizer()
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encoded = tokenizer("a video of playing drums", add_special_tokens=False)
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self.assertNotEqual(encoded[-1], tokenizer.eos_token_id)
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def test_demo_sentence_tokenization(self):
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tokenizer = self.get_tokenizer()
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encoded = tokenizer(
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VIDEO_PRISM_DEMO_TEXT,
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max_length=64,
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padding="max_length",
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return_tensors="pt",
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)["input_ids"]
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expected = torch.tensor(
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[sentence + [0] * (64 - len(sentence)) for sentence in VIDEO_PRISM_DEMO_SENTENCES],
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dtype=torch.long,
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)
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self.assertTrue(torch.equal(encoded, expected))
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