Files
HuggingFace_transformer/tests/models/llama4/test_processing_llama4.py
Cyril Vallez 380b2a0317 Rework add-new-model-like with modular and make test filenames coherent (#39612)
* remove tf/flax

* fix

* style

* Update add_new_model_like.py

* work in progress

* continue

* more cleanup

* simplify and first final version

* fixes -> it works

* add linter checks

* Update add_new_model_like.py

* fix

* add modular conversion at the end

* Update add_new_model_like.py

* add video processor

* Update add_new_model_like.py

* Update add_new_model_like.py

* Update add_new_model_like.py

* fix

* Update image_processing_auto.py

* Update image_processing_auto.py

* fix post rebase

* start test filenames replacement

* rename all test_processor -> test_processing

* fix copied from

* add docstrings

* Update add_new_model_like.py

* fix regex

* improve wording

* Update add_new_model_like.py

* Update add_new_model_like.py

* Update add_new_model_like.py

* start adding test

* fix

* fix

* proper first test

* tests

* fix

* fix

* fix

* fix

* modular can be used from anywhere

* protect import

* fix

* Update add_new_model_like.py

* fix
2025-08-04 14:41:09 +02:00

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1.9 KiB
Python

# Copyright 2024 The HuggingFace 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.
import shutil
import tempfile
import unittest
from transformers import AutoProcessor, Llama4Processor, PreTrainedTokenizerFast
from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available
from ...test_processing_common import ProcessorTesterMixin
if is_vision_available():
from transformers import Llama4ImageProcessorFast
@require_vision
class Llama4ProcessorTest(ProcessorTesterMixin, unittest.TestCase):
processor_class = Llama4Processor
@classmethod
def setUpClass(cls):
cls.tmpdirname = tempfile.mkdtemp()
image_processor = Llama4ImageProcessorFast(max_patches=1, size={"height": 20, "width": 20})
tokenizer = PreTrainedTokenizerFast.from_pretrained("unsloth/Llama-3.2-11B-Vision-Instruct-unsloth-bnb-4bit")
processor_kwargs = cls.prepare_processor_dict()
processor = Llama4Processor(image_processor, tokenizer, **processor_kwargs)
processor.save_pretrained(cls.tmpdirname)
cls.image_token = processor.image_token
def get_tokenizer(self, **kwargs):
return AutoProcessor.from_pretrained(self.tmpdirname, **kwargs).tokenizer
def get_image_processor(self, **kwargs):
return AutoProcessor.from_pretrained(self.tmpdirname, **kwargs).image_processor
@classmethod
def tearDownClass(cls):
shutil.rmtree(cls.tmpdirname)