| # coding=utf-8 | |
| # Copyright 2024 The HuggingFace Inc. team. All rights reserved. | |
| # | |
| # 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. | |
| """Testing suite for the PyTorch chameleon model.""" | |
| import tempfile | |
| import unittest | |
| from transformers import ChameleonProcessor, LlamaTokenizer | |
| from transformers.testing_utils import get_tests_dir | |
| from transformers.utils import is_vision_available | |
| from ...test_processing_common import ProcessorTesterMixin | |
| if is_vision_available(): | |
| from transformers import ChameleonImageProcessor | |
| SAMPLE_VOCAB = get_tests_dir("fixtures/test_sentencepiece.model") | |
| class ChameleonProcessorTest(ProcessorTesterMixin, unittest.TestCase): | |
| processor_class = ChameleonProcessor | |
| def setUp(self): | |
| self.tmpdirname = tempfile.mkdtemp() | |
| image_processor = ChameleonImageProcessor() | |
| tokenizer = LlamaTokenizer(vocab_file=SAMPLE_VOCAB) | |
| tokenizer.pad_token_id = 0 | |
| tokenizer.sep_token_id = 1 | |
| processor = self.processor_class(image_processor=image_processor, tokenizer=tokenizer) | |
| processor.save_pretrained(self.tmpdirname) | |