mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-06 22:30:09 +06:00
4d0de5f73a
* More limited setup -> setupclass conversion * make fixup * Trigger tests * Fixup UDOP * Missed a spot * tearDown -> tearDownClass where appropriate * Couple more class fixes * Fixups for UDOP and VisionTextDualEncoder * Ignore errors when removing the tmpdir, in case it already got cleaned up somewhere * CLIP fixes * More correct classmethods * Wav2Vec2Bert fixes * More methods become static * More class methods * More class methods * Revert changes for integration tests / modeling files * Use a different tempdir for tests that actually write to it * Remove addClassCleanup and just use teardownclass * Remove changes in modeling files * Cleanup get_processor_dict() for got_ocr2 * Fix regression on Wav2Vec2BERT test that was masked by this before * Rework tests that modify the tmpdir * make fix-copies * revert clvp modeling test changes * Fix CLIP processor test * make fix-copies
45 lines
1.6 KiB
Python
45 lines
1.6 KiB
Python
# 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
|
|
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.tmpdirname = tempfile.mkdtemp()
|
|
image_processor = ChameleonImageProcessor()
|
|
tokenizer = LlamaTokenizer(vocab_file=SAMPLE_VOCAB)
|
|
tokenizer.pad_token_id = 0
|
|
tokenizer.sep_token_id = 1
|
|
processor = cls.processor_class(image_processor=image_processor, tokenizer=tokenizer)
|
|
processor.save_pretrained(cls.tmpdirname)
|